ICANN Jobs

Our client, a leading global cyber security vendor, delivers a comprehensive suite of products and solutions to both Private and Public Sector organizations. Following a record-breaking year and ambitious growth plans, they are seeking an experienced Enterprise Account Executive to drive new business acquisition and manage existing accounts within Fortune 1000 companies across Chicago. Key Responsibilities: Ensure compliance with company policies, ethical standards, and revenue recognition guidelines. Develop a deep understanding of client operations and effectively communicate the value of cyber security solutions. Build and maintain strong client relationships, serving as a trusted advisor. Create and execute a strategic territory plan focused on Fortune 1000 organizations in Illinois. Establish and maintain a strong sales pipeline, engaging both new prospects and existing accounts. Collaborate with Sales Engineers to provide ongoing technical support. Align sales activities with corporate strategy and business objectives. Required Experience & Qualifications: 5+ years of field sales experience selling cyber security products and solutions. A proven track record of success selling to Fortune 1000 enterprise customers. Stable career history, with a minimum of 3 years tenure per employer. Demonstrated ability to exceed sales quotas and drive consistent territory growth. Strong knowledge of the technology landscape, target markets, and client demographics. Established network of contacts and expertise within the Illinois territory. Ability to independently manage large, complex accounts. Experience in prospecting, pursuing, and closing new business opportunities. Compensation & Benefits: Base Salary: $120K - $140K OTE: $240K - $280K (Uncapped) Corporate Benefits Package: 401(k), PTO, Medical, Dental, and more Fully Remote Work Eligibility: Must currently reside in Chicago or surrounding areas. US Citizenship required (Sponsorship is not available). This is an exciting opportunity to join a high-growth cyber security company and make a significant impact within a thriving market. If you meet the qualifications and are looking for your next challenge, apply today!

Outlier helps the world's most innovative companies improve their AI models by providing human feedback. Are you an experienced Clinical Medicine Expert who would like to lend your expertise to train AI models? About the opportunity: Outlier is looking for talented Clinical Medicine Experts to help train generative artificial intelligence models This freelance opportunity is remote and hours are flexible, so you can work whenever is best for you You may contribute your expertise by… Assessing the factuality and relevance of domain-specific text produced by AI models Crafting and answering questions related to Clinical Medicine Evaluating and ranking domain-specific responses generated by AI models Examples of desirable expertise: A bachelor's or higher degree in Clinical Medicine or a related subject Experience working as a Clinical Medicine professional Ability to write clearly about concepts related to Clinical Medicine in fluent English Payment: Currently, pay rates for core project work by Clinical Medicine experts range from $25 to $45 per hour USD. Rates vary based on expertise, skills assessment, location, project need, and other factors. For example, higher rates may be offered to PhDs. For non-core work, such as during initial project onboarding or project overtime phases, lower rates may apply. Certain projects offer incentive payments. Please review the payment terms for each project.

Outlier is the world's leading expert platform, connecting a network of over 100,000 contributors worldwide to improve AI models by providing expert human feedback. We partner with companies including OpenAI, Meta and Microsoft to enable advanced generative AI models to provide accurate responses and advanced reasoning capabilities. We are looking for advanced Economics experts to teach AI how to interpret and solve complex problems by: Evaluate AI-generated content for factual accuracy and relevance in Economics. Develop and answer Economics-related questions to refine AI understanding. Assess and rank AI responses based on scientific rigor. Required expertise and qualifications: Education: Master's degree or higher (PhD preferred) in Economics or a related field (can be currently enrolled) Research Experience: Strong preference for candidates with peer-reviewed publications, patents, conference presentations, research grants, or industry R&D contributions English Proficiency: Ability to read and write with minimal errors Bonus Skills: AI model training experience is not required but helpful Payment: Currently, pay rates for core project work by Economics experts range from $30 to $50 per hour USD but varies based on your geographic location (see note below) Opportunities for higher-paying research projects based on performance. Rates vary based on expertise, skills assessment, location, project need, and other factors. For example, higher rates may be offered to PhDs. For non-core work, such as during initial project onboarding or project overtime phases, lower rates may apply. Certain projects offer incentive payments. Please review the payment terms for each project.

LinkedIn's vision is to create economic opportunities for every member of the global workforce. It was built to help professionals achieve more in their careers, and every day millions of people use our products to make connections, discover opportunities, and gain insights. Our global reach means we get to make a direct impact on the world's workforce in ways no other company can. We're much more than a digital resume - we transform lives through innovative products and technology. Searching for your dream job? At LinkedIn, we strive to help our employees find passion and purpose. Join us in changing the way the world works. Job Description At LinkedIn, we trust each other to do our best work where it works best for us and our teams. This role offers a hybrid work option, meaning you can both work from home and commute to a LinkedIn office, depending on what's best for you and when it is important for your team to be together. LinkedIn Marketing Solutions (LMS) is the largest and fastest growing scaled B2B Advertising Platform in the world, with revenue north of $6B+. We help organizations grow. The LMS AI Engineering Team leverages science and engineering to maximize the power of data and is responsible for the AI technology fueling our Ads business - building and scaling the technology stack that powers our advertising business including advertiser experiences, ad serving platform, and ad products. As a Director of Engineering- AI, you will be responsible for leading a team of world class applied researchers and ML/AI engineers who are solving cutting-edge AI problems to empower large & small businesses to reach, engage, and convert professional audiences at scale. You'll be responsible for building a strong technology-driven culture, overseeing some of the most talented scientists and engineers on the planet, and helping them to pursue their passion and transform their careers. You will develop a strong bench of talent across people and technical leadership, and help the team build industry leading AI solutions for the advertising ecosystem. Responsibilities: You will build and ship software, drive architectural decisions and implementation across LMS teams. You will drive the adoption of cutting-edge solutions and methods to enable innovative marketing solutions products. You will actively improve the level of craftsmanship at LinkedIn by developing best practices and defining best strategies. You will lead cross team/cross-functional discussions and drive alignment on product/technology strategy. You will define the bar for quality and efficiency of software systems while balancing business impact, operational impact and cost benefits of design and architectural choices. You will act as one of the primary domain experts to influence technology choices. You will lead by example to build a culture of craftsmanship and innovation. Qualifications Basic Qualifications Bachelors degree in a quantitative field - Computer Science, Operational Research, Statistics, Economics or related fields 5+ years of experience in management positions Preferred Qualifications Strong background in AI/ML techniques with applications to the Advertising domain. A proven track record of delivering end-to-end solutions for high QPS systems, working with massive amounts of high frequency data. Experience managing teams of 40+ individuals and first/second-line managers. Ability to lead by example and inspire the team to perform at a high level, and collaborate very well across different teams. Good understanding of large-scale engineering systems and some or all of big data technologies like Hadoop, Spark, distributed key-value stores, streaming processes, recommender systems, statistical methods, and experimental design. Highly motivated and able to work with ambiguous fast-changing problem landscapes, convert vague and ill-defined problems into well-defined problems, take initiative and encourage consensus building across partners. Strong leadership abilities in order to communicate and drive cross-functional efforts. Good relationship building and people skills. Publications at conferences and patents are highly desirable. Suggested Skills: * People Leadership * Ads experience * AI/ML experience You will Benefit from our Culture: We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels. LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $218,000 to $357,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit ************************************** Equal Opportunity Statement LinkedIn is committed to diversity in its workforce and is proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is an Affirmative Action and Equal Opportunity Employer as described in our equal opportunity statement here: *********************************************************************************************************** Please reference ******************************************************************************************** and ************************************************************************************************ for more information. LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful. If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at accommodations@linkedin.com and describe the specific accommodation requested for a disability-related limitation. Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to: -Documents in alternate formats or read aloud to you -Having interviews in an accessible location -Being accompanied by a service dog -Having a sign language interpreter present for the interview A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response. LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information. Pay Transparency Policy Statement As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: ******************************** Global Data Privacy Notice for Job Candidates This document provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ***************************************

Outlier helps the world's most innovative companies improve their AI models by providing human feedback. Are you an experienced Clinical Medicine Expert who would like to lend your expertise to train AI models? About the opportunity: Outlier is looking for talented Clinical Medicine Experts to help train generative artificial intelligence models This freelance opportunity is remote and hours are flexible, so you can work whenever is best for you You may contribute your expertise by… Assessing the factuality and relevance of domain-specific text produced by AI models Crafting and answering questions related to Clinical Medicine Evaluating and ranking domain-specific responses generated by AI models Examples of desirable expertise: A bachelor's or higher degree in Clinical Medicine or a related subject Experience working as a Clinical Medicine professional Ability to write clearly about concepts related to Clinical Medicine in fluent English Payment: Currently, pay rates for core project work by Clinical Medicine experts range from $25 to $45 per hour USD. Rates vary based on expertise, skills assessment, location, project need, and other factors. For example, higher rates may be offered to PhDs. For non-core work, such as during initial project onboarding or project overtime phases, lower rates may apply. Certain projects offer incentive payments. Please review the payment terms for each project.

Outlier is the world's leading expert platform, connecting a network of over 100,000 contributors worldwide to improve AI models by providing expert human feedback. We partner with companies including OpenAI, Meta and Microsoft to enable advanced generative AI models to provide accurate responses and advanced reasoning capabilities. We are looking for advanced Chemistry experts to teach AI how to interpret and solve complex problems by: Evaluate AI-generated content for factual accuracy and relevance in Chemistry. Develop and answer Chemistry-related questions to refine AI understanding. Assess and rank AI responses based on scientific rigor. Required expertise and qualifications: Education: Master's degree or higher (PhD preferred) in Chemistry or a related field (can be currently enrolled) Research Experience: Strong preference for candidates with peer-reviewed publications, patents, conference presentations, research grants, or industry R&D contributions English Proficiency: Ability to read and write with minimal errors Bonus Skills: AI model training experience is not required but helpful Payment: Currently, pay rates for core project work by Chemistry experts range from $30 to $50 per hour USD but varies based on your geographic location (see note below) Opportunities for higher-paying research projects based on performance. Rates vary based on expertise, skills assessment, location, project need, and other factors. For example, higher rates may be offered to PhDs. For non-core work, such as during initial project onboarding or project overtime phases, lower rates may apply. Certain projects offer incentive payments. Please review the payment terms for each project.

Outlier helps the world's most innovative companies improve their AI models by providing human feedback. In this role, you will become an AI coach, crafting compelling questions on Finance-related topics and assessing the writing of other contributors doing the same. For now, here's our team member Ruut talking about her experience with Outlier: Finance Expertise Sought for AI Training About the Business Opportunity: Cutting-Edge Consulting Work: Lend your expertise to interesting projects that push the boundaries of AI Independence: Set your own hours and work remotely Flexibility: Duration based on project length and hours Services You Will Provide: You will use your domain expertise to assess the factuality and relevance of texts produced by AI models You will craft and answer questions related to your field of expertise in order to help train AI models You will use your expertise to evaluate and rank responses generated by AI models Required Expertise: PhD, Master's Degree or Bachelors degree with 5 or more years of work experience in Finance or related field English language fluency, both written and spoken Desirable Expertise: AI and machine learning expertise Professional writing experience as a researcher, journalist, technical writer, editor, or similar role Payment: Currently, pay rates for core project work by Finance experts range from $30 to $40 per hour USD. Rates vary based on expertise, skills assessment, location, project need, and other factors. For example, higher rates may be offered to PhDs. For non-core work, such as during initial project onboarding or project overtime phases, lower rates may apply. Certain projects offer incentive payments. Please review the payment terms for each project. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with the Outlier Privacy Policy and our internal policies and programs designed to protect personal data. This is a 1099 contract opportunity on the Outlier.ai platform. Because this is a freelance opportunity, we do not offer internships, sponsorship, or employment. You must be authorized to work in your country of residence. If you are an international student, you may be able to sign up for Outlier if you are on a visa. You should contact your tax and/or immigration advisor with specific questions regarding your circumstances.

LinkedIn is the world's largest professional network, built to help members of all backgrounds and experiences achieve more in their careers. Our vision is to create economic opportunities for every member of the global workforce. Every day our members use our products to make connections, discover opportunities, build skills and gain insights. We believe amazing things happen when we work together in an environment where everyone feels a true sense of belonging, and that what matters most in a candidate is having the skills needed to succeed. It inspires us to invest in our talent and support career growth. Join us to challenge yourself with work that matters. At LinkedIn, we trust each other to do our best work where it works best for us and our teams. This role offers a hybrid work option, meaning you can both work from home and commute to a LinkedIn office, depending on what's best for you and when it is important for your team to be together. LinkedIn is looking for a Distinguished Engineer to join LinkedIn's Core Infrastructure organization. As a Distinguished Engineer specializing in performance, efficiency, and collaboration with finance on infrastructure spend, you will play a crucial role in optimizing our technical operations and resource allocation. You will lead efforts to enhance system performance, improve operational efficiency, and work closely with finance to ensure cost-effective infrastructure investments. Responsibilities: • Performance Optimization: Drive initiatives to optimize system performance across our technology stack, focusing on scalability, reliability, and speed. • Efficiency Improvements: Identify opportunities to improve operational efficiency, reduce costs, and streamline processes related to infrastructure and technical operations. • Collaboration with Finance: Partner closely with finance teams to develop strategies for effective budgeting and spending on infrastructure, ensuring alignment with business goals and financial targets. • Technical Leadership: Provide technical leadership and guidance to engineering teams, promoting best practices in performance tuning, resource management, and cost-effective infrastructure design. • Data-Driven Insights: Utilize data analytics and performance metrics to make informed decisions and drive continuous improvements in infrastructure performance and efficiency. • Cross-Functional Collaboration: Work collaboratively with cross-functional teams including engineering, product management, and operations to integrate performance and efficiency considerations into all phases of product development and deployment. • Innovation and Research: Stay current with industry trends, emerging technologies, and best practices related to performance optimization, efficiency, and infrastructure management. Basic Qualifications: • Bachelor's degree in Computer Science, Engineering, or a related technical field • 10+ years of relevant work experience. • Experience in performance engineering, infrastructure optimization, and cloud technologies (AWS, Azure, GCP). Experience in designing and implementing scalable infrastructure solutions. • Experience in collaborating with finance teams on budget planning, cost analysis, and infrastructure spend management. • Experience in leading technical initiatives and driving results in a collaborative environment. Preferred Qualifications: • Strong understanding of financial principles and experience collaborating with finance teams on budget planning, cost analysis, and infrastructure spend management. "Suggested Skills" • Experience in engineering. • Developing technology strategies at a company-wide scale. • Technical leadership in Core Infrastructure. LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $229,000 to $375,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit ************************************** Equal Opportunity Statement LinkedIn is committed to diversity in its workforce and is proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is an Affirmative Action and Equal Opportunity Employer as described in our equal opportunity statement here: *********************************************************************************************************** Please reference ******************************************************************************************** and ************************************************************************************************ for more information. LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful. If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at accommodations@linkedin.com and describe the specific accommodation requested for a disability-related limitation. Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to: -Documents in alternate formats or read aloud to you -Having interviews in an accessible location -Being accompanied by a service dog -Having a sign language interpreter present for the interview A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response. LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information. Pay Transparency Policy Statement As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: ******************************** Global Data Privacy Notice for Job Candidates This document provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ***************************************

LinkedIn was built to help professionals achieve more in their careers, and every day millions of people use our products to make connections, discover opportunities and gain insights. Our global reach means we get to make a direct impact on the world's workforce in ways no other company can. We're much more than a digital resume - we transform lives through innovative products and technology. Searching for your dream job? At LinkedIn, we strive to help our employees find passion and purpose. Join us in changing the way the world works. Job Description At LinkedIn, we trust each other to do our best work where it works best for us and our teams. This role offers both hybrid or remote work options, meaning you can work from home and commute to a LinkedIn office, depending on what's best for you and when it is important for your team to be together, or this role can be performed remotely in most locations in the country of employment LinkedIn is looking for a Technical Fellow with expertise in AI to provide thought leadership for engineering organizations. As an AI Technical Fellow at LinkedIn, you will architect and lead the next generation of AI solutions that powers everything LinkedIn does. From consumer to enterprise, from search to recommendation, from optimization to building knowledge graph, LinkedIn relies on innovative AI research and applications that you will help us build. As a key leader in the organization you will lead research, design algorithms, build software, anticipate and influence the state of the art in the industry, and leverage and create open source software in the process. Responsibilities: Lead research in advanced AI, majorly focusing on mid/long-term research topics Envision and develop an AI research agenda that (1) is consistent with LinkedIn's overall strategy; (2) supports a large pipeline of opportunities for which these technologies are critical; (3) addresses major and emerging AI challenges and advances the state of the art Provide senior technical direction to working teams and inspire a larger community from across engineering working on AI. Publish, present, and contribute as a thought leader in the field of AI. Be a talent magnet for LinkedIn. Advise LinkedIn executives on a broad range of technology, strategy, and policy issues associated with AI. Not just develop evidence of the validity and utility of research projects (e.g. through MVP or prototypes), but equally drive and work with relevant engineering teams to design and build the AI components that deliver value to members and customers. Identify problems and opportunities and lead teams to research, architect, design and operationalize AI solutions. Be part of the Data/AI Leadership team contributing to the overall strategy & roadmap considerations Evangelize and inspire best practices across a large AI engineering surface area Establish a culture that values diverse viewpoints while navigating complex decisions Lead by example to build a culture of craftsmanship and innovation. Provide mentorship to our AI talent across the team to help them grow technically and professionally. Assume hands-on leadership, especially when helping teams resolve complex problems Basic Qualifications: PhD in a relevant field or related discipline (machine learning, statistics, computer science etc.), or equivalent research experience 10+ years of relevant work or academic experience Experience leading technical research projects with multiple stakeholders Preferred Qualifications: 15+ years of experience in research and design of AI solutions with at least 5 of those years in a technical or scientific leadership position Experience in designing and implementing large scale AI platforms. Experience in leading large scale AI development projects from concept to multiple releases in production Familiarity with multiple open source machine learning frameworks (pytorch, tensorflow, onnx etc.), and languages (C++, Python, etc.) Experience leading high-impact, cross-company initiatives Established track record of excellence in relevant research areas Suggested Skills: Mentoring Technical Leadership Machine learning LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $260,000 to $480,500. Actual compensation packages are based on a wide array of factors unique to each candidate, including but not limited to skill set, years & depth of experience, certifications and specific office location. This may differ in other locations due to cost of labor considerations. The total compensation package for this position may also include annual performance bonus, stock and benefits. For additional information, visit: ************************************* Equal Opportunity Statement LinkedIn is committed to diversity in its workforce and is proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is an Affirmative Action and Equal Opportunity Employer as described in our equal opportunity statement here: *********************************************************************************************************** Please reference ******************************************************************************************** and ************************************************************************************************ for more information. LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful. If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at accommodations@linkedin.com and describe the specific accommodation requested for a disability-related limitation. Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to: -Documents in alternate formats or read aloud to you -Having interviews in an accessible location -Being accompanied by a service dog -Having a sign language interpreter present for the interview A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response. LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information. Pay Transparency Policy Statement As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: ******************************** Global Data Privacy Notice for Job Candidates This document provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ***************************************

Staff Systems Engineer Dayton, Ohio, United States Lead projects by developing system architectures, defining requirements, and creating innovative solutions. You will also be the focal point for customer support, where you will be supporting the program team with customer interactions and translation of mission requirements into systems engineering specifications and actions. Core Responsibilities Document and trace system requirements, ensuring alignment with project goals. Lead the design and development of system architectures, including hardware, software, networks, and interfaces, to meet technical requirements and performance objectives. Integrate system components and oversee testing and validation. Identify and mitigate technical risks throughout the development lifecycle. Mentor junior engineers and foster a culture of innovation and collaboration. Collaborate with cross-functional teams to deliver integrated solutions. Implement quality assurance processes for reliable system designs. Maintain configuration management to track changes to system baselines. Prepare technical documentation in line with industry standards. Stay updated on emerging technologies and contribute to process improvements. Qualifications & Experience 6 years of systems engineering experience with successful project leadership. Strong understanding and experience of systems engineering principles and best practices, including DO178, and further MIL-STD specifications. Proficiency in systems modeling, requirements management, and configuration tools. Proven team leadership and project management skills. Excellent communication skills for various stakeholders. Strong analytical and problem-solving abilities. Collaborative mindset and commitment to teamwork. BS degree in engineering, computer science, or related field. Experience with either Electrical, or RF component design for ground and space applications. Security Clearance DoD Top Secret with SSBI required; SCI and SAP eligible. U.S. Citizenship required.

Outlier helps the world's most innovative companies improve their AI models by providing human feedback. Are you an experienced Clinical Medicine Expert who would like to lend your expertise to train AI models? About the opportunity: Outlier is looking for talented Clinical Medicine Experts to help train generative artificial intelligence models This freelance opportunity is remote and hours are flexible, so you can work whenever is best for you You may contribute your expertise by… Assessing the factuality and relevance of domain-specific text produced by AI models Crafting and answering questions related to Clinical Medicine Evaluating and ranking domain-specific responses generated by AI models Examples of desirable expertise: A bachelor's or higher degree in Clinical Medicine or a related subject Experience working as a Clinical Medicine professional Ability to write clearly about concepts related to Clinical Medicine in fluent English Payment: Currently, pay rates for core project work by Clinical Medicine experts range from $25 to $45 per hour USD. Rates vary based on expertise, skills assessment, location, project need, and other factors. For example, higher rates may be offered to PhDs. For non-core work, such as during initial project onboarding or project overtime phases, lower rates may apply. Certain projects offer incentive payments. Please review the payment terms for each project.

Outlier is the world's leading expert platform, connecting a network of over 100,000 contributors worldwide to improve AI models by providing expert human feedback. We partner with companies including OpenAI, Meta and Microsoft to enable advanced generative AI models to provide accurate responses and advanced reasoning capabilities. We are looking for advanced Economics experts to teach AI how to interpret and solve complex problems by: Evaluate AI-generated content for factual accuracy and relevance in Economics. Develop and answer Economics-related questions to refine AI understanding. Assess and rank AI responses based on scientific rigor. Required expertise and qualifications: Education: Master's degree or higher (PhD preferred) in Economics or a related field (can be currently enrolled) Research Experience: Strong preference for candidates with peer-reviewed publications, patents, conference presentations, research grants, or industry R&D contributions English Proficiency: Ability to read and write with minimal errors Bonus Skills: AI model training experience is not required but helpful Payment: Currently, pay rates for core project work by Economics experts range from $30 to $50 per hour USD but varies based on your geographic location (see note below) Opportunities for higher-paying research projects based on performance. Rates vary based on expertise, skills assessment, location, project need, and other factors. For example, higher rates may be offered to PhDs. For non-core work, such as during initial project onboarding or project overtime phases, lower rates may apply. Certain projects offer incentive payments. Please review the payment terms for each project.

Outlier is the world's leading expert platform, connecting a network of over 100,000 contributors worldwide to improve AI models by providing expert human feedback. We partner with companies including OpenAI, Meta and Microsoft to enable advanced generative AI models to provide accurate responses and advanced reasoning capabilities. We are looking for advanced Chemistry experts to teach AI how to interpret and solve complex problems by: Evaluate AI-generated content for factual accuracy and relevance in Chemistry. Develop and answer Chemistry-related questions to refine AI understanding. Assess and rank AI responses based on scientific rigor. Required expertise and qualifications: Education: Master's degree or higher (PhD preferred) in Chemistry or a related field (can be currently enrolled) Research Experience: Strong preference for candidates with peer-reviewed publications, patents, conference presentations, research grants, or industry R&D contributions English Proficiency: Ability to read and write with minimal errors Bonus Skills: AI model training experience is not required but helpful Payment: Currently, pay rates for core project work by Chemistry experts range from $30 to $50 per hour USD but varies based on your geographic location (see note below) Opportunities for higher-paying research projects based on performance. Rates vary based on expertise, skills assessment, location, project need, and other factors. For example, higher rates may be offered to PhDs. For non-core work, such as during initial project onboarding or project overtime phases, lower rates may apply. Certain projects offer incentive payments. Please review the payment terms for each project.

Outlier helps the world's most innovative companies improve their AI models by providing human feedback. Are you an experienced Law expert who would like to lend your expertise to train AI models? About the opportunity: Outlier is looking for talented Law experts to help train generative artificial intelligence models This freelance opportunity is remote and hours are flexible, so you can work whenever is best for you You may contribute your expertise by… Assessing the factuality and relevance of domain-specific text produced by AI models Crafting and answering questions related to Law Evaluating and ranking domain-specific responses generated by AI models Examples of desirable expertise: A bachelor's or higher degree in Law or a related subject Experience working as a Law professional Ability to write clearly about concepts related to Law in fluent English Payment: Currently, pay rates for core project work by Law experts range from $30 to $50 per hour USD. Rates vary based on expertise, skills assessment, location, project need, and other factors. For example, higher rates may be offered to PhDs. For non-core work, such as during initial project onboarding or project overtime phases, lower rates may apply. Certain projects offer incentive payments. Please review the payment terms for each project.

LinkedIn is the world's largest professional network, built to help members of all backgrounds and experiences achieve more in their careers. Our vision is to create economic opportunities for every member of the global workforce. Every day our members use our products to make connections, discover opportunities, build skills and gain insights. We believe amazing things happen when we work together in an environment where everyone feels a true sense of belonging, and that what matters most in a candidate is having the skills needed to succeed. It inspires us to invest in our talent and support career growth. Join us to challenge yourself with work that matters. At LinkedIn, we trust each other to do our best work where it works best for us and our teams. This role offers a hybrid work option, meaning you can both work from home and commute to a LinkedIn office, depending on what's best for you and when it is important for your team to be together. LinkedIn is looking for a Distinguished Engineer to join LinkedIn's Core Infrastructure organization. Data and AI is at the heart of LinkedIn. This role puts you at the intersection of both - leading the building and scaling of our most critical data storage as well as access layers to power LinkedIn products and AI training. As a Distinguished Engineer specializing in database systems, you will lead the architecture and development of cutting-edge, highly reliable, and scalable database solutions. You will be responsible for building next-generation structured storage systems, including the development of relational and graph databases, online analytics, systems, caching solutions, and new systems that support emerging innovations. This role requires deep expertise in transactional databases, graph systems, and caching systems and strategies. The successful candidate will be able to drive business outcomes by working closely with internal product, business, and solution platform stakeholders. Key Responsibilities: Design & Architecture: Lead the design and development of structured storage systems with a focus on transactional integrity, reliability, and massive scale. Architect and build highly reliable, low-latency graph databases that support large-scale queries and complex data models. Develop systems that scale from traditional relational databases to emerging unstructured and semi-structured data solutions. Design new caching strategies that support evolving product/platform access patterns and performance requirements. Build solution templates that accelerate developer velocity by simplifying access and usage of structured data. Innovation & Cutting-Edge Technology: Stay on the forefront of database technology trends, and evaluate new tools, technologies, and methodologies that can be integrated into the company's data infrastructure. Work with cross-functional teams to integrate advanced data processing and query capabilities into the company's core systems. Drive innovation in areas like distributed databases, NoSQL systems, and AI/ML-based data storage solutions. Lead efforts in open source community engagement for new technologies Evangelize LinkedIn Job innovation to the broader developer and research community Customer-Centric approach:: Partner with internal and external stakeholders to understand customer needs, use cases, and business requirements. Ensure that database systems deliver exceptional performance and meet the demands of complex transactional workloads, queries, and analytics. Collaborate with product and engineering teams to deliver highly customizable and reliable database platforms for diverse customer profiles. Performance & Reliability: Lead efforts to build and maintain high-performance databases that can handle millions of transactions reliably and efficiently. Architect solutions that provide fault tolerance, consistency, and high availability across multiple data centers. Design strategies to optimize query performance and streamline data access patterns across different database models. Data Evolution & Growth: Drive the evolution of data storage systems ranging from mature relational models to emerging technologies that support transactional unstructured and semi-structured data. Lead the transition from monolithic database systems to distributed architectures that are cloud-native and support dynamic data growth. Develop best practices for managing and maintaining databases across their lifecycle, from inception to full-scale operations. Leadership & Mentorship: Provide technical leadership and mentorship to teams of engineers, guiding them in the design and implementation of database systems. Foster a culture of innovation and continuous learning within the database engineering team. Basic Qualifications: Bachelor's degree in computer science, Engineering, or a related technical field. 12+ years of experience in database design, development, and management, with a focus on transactional and distributed systems. Experience with NoSQL databases, graph databases, and modern data architectures. Experience with cloud-native database technologies, distributed systems, and scalable data platforms. Experience running high-scale systems in production. Track record of driving continuous improvement in production excellence. Demonstrated ability to design systems that provide manageability, resiliency, and operability. Proven track record of leading engineering teams in building and operating complex, mission-critical systems. Preferred Qualifications: Deep knowledge of relational databases (e.g., PostgreSQL, MySQL) and their evolution into distributed and transactional models. Ability to understand customer needs and design systems that meet current business and technical requirements, while ensuring flexibility and adaptability for long-term needs. Excellent analytical and problem-solving skills with a focus on data-driven decision making. "Suggested Skills" • Relational databases. • Developing technology strategies at a company-wide scale. • Technical leadership. LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $238,000 to $390,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. The total compensation package for this position may also include an annual performance bonus, stock, benefits and/or other applicable incentive compensation plan. For more information, visit ************************************** Equal Opportunity Statement LinkedIn is committed to diversity in its workforce and is proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is an Affirmative Action and Equal Opportunity Employer as described in our equal opportunity statement here: *********************************************************************************************************** Please reference ******************************************************************************************** and ************************************************************************************************ for more information. LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful. If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at accommodations@linkedin.com and describe the specific accommodation requested for a disability-related limitation. Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to: -Documents in alternate formats or read aloud to you -Having interviews in an accessible location -Being accompanied by a service dog -Having a sign language interpreter present for the interview A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response. LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information. Pay Transparency Policy Statement As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: ******************************** Global Data Privacy Notice for Job Candidates This document provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ***************************************

Outlier helps the world's most innovative companies improve their AI models by providing human feedback. Are you an experienced Clinical Medicine Expert who would like to lend your expertise to train AI models? About the opportunity: Outlier is looking for talented Clinical Medicine Experts to help train generative artificial intelligence models This freelance opportunity is remote and hours are flexible, so you can work whenever is best for you You may contribute your expertise by… Assessing the factuality and relevance of domain-specific text produced by AI models Crafting and answering questions related to Clinical Medicine Evaluating and ranking domain-specific responses generated by AI models Examples of desirable expertise: A bachelor's or higher degree in Clinical Medicine or a related subject Experience working as a Clinical Medicine professional Ability to write clearly about concepts related to Clinical Medicine in fluent English Payment: Currently, pay rates for core project work by Clinical Medicine experts range from $25 to $45 per hour USD. Rates vary based on expertise, skills assessment, location, project need, and other factors. For example, higher rates may be offered to PhDs. For non-core work, such as during initial project onboarding or project overtime phases, lower rates may apply. Certain projects offer incentive payments. Please review the payment terms for each project.

Outlier is the world's leading expert platform, connecting a network of over 100,000 contributors worldwide to improve AI models by providing expert human feedback. We partner with companies including OpenAI, Meta and Microsoft to enable advanced generative AI models to provide accurate responses and advanced reasoning capabilities. We are looking for advanced Biology experts to teach AI how to interpret and solve complex problems by: Evaluate AI-generated content for factual accuracy and relevance in Biology Develop and answer Biology-related questions to refine AI understanding. Assess and rank AI responses based on scientific rigor. Required expertise and qualifications: Education: Master's degree or higher (PhD preferred) in Biology or a related field (can be currently enrolled) Research Experience: Strong preference for candidates with peer-reviewed publications, patents, conference presentations, research grants, or industry R&D contributions English Proficiency: Ability to read and write with minimal errors Bonus Skills: AI model training experience is not required but helpful Payment: Currently, pay rates for core project work by Biology experts range from $30 to $50 per hour USD but varies based on your geographic location (see note below) Opportunities for higher-paying research projects based on performance. Rates vary based on expertise, skills assessment, location, project need, and other factors. For example, higher rates may be offered to PhDs. For non-core work, such as during initial project onboarding or project overtime phases, lower rates may apply. Certain projects offer incentive payments. Please review the payment terms for each project.

LinkedIn's vision is to create economic opportunities for every member of the global workforce. It was built to help professionals achieve more in their careers, and every day millions of people use our products to make connections, discover opportunities, and gain insights. Our global reach means we get to make a direct impact on the world's workforce in ways no other company can. We're much more than a digital resume - we transform lives through innovative products and technology. Searching for your dream job? At LinkedIn, we strive to help our employees find passion and purpose. Join us in changing the way the world works. Technology leaders collaborate, maintain balance, commit and achieve results - all while upholding immense pride in their quality of work. Our leaders value their craft and inspire their team to do the same. They balance product and technology strategy to put members first. They are responsible for attracting, retaining, engaging and developing their teams while also leading and inspiring them to achieve the goals of LinkedIn. Engineering leaders are champions of LinkedIn to their coworkers, their networks and the tech community. Job Description At LinkedIn, we trust each other to do our best work where it works best for us and our teams. This role offers a hybrid work option, meaning you can both work from home and commute to a LinkedIn office, depending on what's best for you and when it is important for your team to be together. As a Distinguished Engineer at LinkedIn, you will architect and lead the next generation of AI solutions that power LinkedIn's content products - from feed to videos to news- by employing the latest techniques - from reinforcement learning to generative AI to large-scale deep learning models. You will design strategies for holistic optimization of LinkedIn's ecosystem across all consumer product surfaces to create a cohesive, highly personalized experience for our members. LinkedIn relies on innovative AI research and applications that you will help us build. As a key leader in the organization, you will lead research, design algorithms, build software, anticipate and influence the state of the art in the industry, and leverage and create open-source software in the process. Qualifications Basic Qualifications: PhD in a relevant field or related discipline (machine learning, statistics, computer science etc.), or equivalent research experience 10+ years of relevant work experience Experience leading technical projects with multiple stakeholders Preferred Qualifications: 10+ years experience in building engaging AI-powered consumer products at scale, with at least 5 of those years in a technical leadership position Experience in designing and optimizing recommender systems that create highly personalized experiences for LinkedIn's members and scale to solve complex business problems Experience in leading large scale development projects from concept to multiple releases in production Experience of technical leadership guiding and mentoring engineering and operations talent Experience leading high-impact, cross-company initiatives Dream big. Make big, bold moves to define and build the next generation of products Suggested Skills: * Mentoring * Technical Leadership * Machine Learning You will Benefit from our Culture: We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels. LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $238,000 to $390,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit ************************************** Equal Opportunity Statement LinkedIn is committed to diversity in its workforce and is proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is an Affirmative Action and Equal Opportunity Employer as described in our equal opportunity statement here: *********************************************************************************************************** Please reference ******************************************************************************************** and ************************************************************************************************ for more information. LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful. If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at accommodations@linkedin.com and describe the specific accommodation requested for a disability-related limitation. Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to: -Documents in alternate formats or read aloud to you -Having interviews in an accessible location -Being accompanied by a service dog -Having a sign language interpreter present for the interview A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response. LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information. Pay Transparency Policy Statement As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: ******************************** Global Data Privacy Notice for Job Candidates This document provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ***************************************

Outlier helps the world's most innovative companies improve their AI models by providing human feedback. Are you an experienced Law expert who would like to lend your expertise to train AI models? About the opportunity: Outlier is looking for talented Law experts to help train generative artificial intelligence models This freelance opportunity is remote and hours are flexible, so you can work whenever is best for you You may contribute your expertise by… Assessing the factuality and relevance of domain-specific text produced by AI models Crafting and answering questions related to Law Evaluating and ranking domain-specific responses generated by AI models Examples of desirable expertise: A bachelor's or higher degree in Law or a related subject Experience working as a Law professional Ability to write clearly about concepts related to Law in fluent English Payment: Currently, pay rates for core project work by Law experts range from $30 to $50 per hour USD. Rates vary based on expertise, skills assessment, location, project need, and other factors. For example, higher rates may be offered to PhDs. For non-core work, such as during initial project onboarding or project overtime phases, lower rates may apply. Certain projects offer incentive payments. Please review the payment terms for each project.