ai research scientist

AT&T

<div>This position requires office presence of a minimum of 5 days per week and is only located in the location(s) posted.
AT&amp;T Global Public Sector is a trusted provider of secure, IP enabled, cloud-based, network solutions and professional services to the Federal Government. We are dedicated to recruiting, developing and empowering a diverse, high-performing workforce that is passionate about what they do, committed to our shared values and dedicated to our customers&rsquo; mission.
AT&amp;T provides professional services to the office of the Marine Corps' Assistant Deputy Commandant for Installations &amp; Logistics (I&amp;L), Logistics Plans, Policies and Strategic Mobility. Work includes Strategic Communications Management, Logistics Innovation &amp; Advocacy, IT Portfolio Management, Data Management, Analytics, Program Management and other related services in order to improve and enhance the lethality of the Marine Air/Ground Task Force (MAGTF) through logistics speed, agility, and flexibility.
AT&amp;T has an opening for an AI Research Scientist to support DoD and federal defense customers by advancing AI algorithms, developing innovative models, and applying cutting-edge research to solve complex mission-critical challenges in a secure government environment.
Job Duties/Responsibilities:<ul><li>
Conducts research to advance AI algorithms, techniques, and methodologies</li><li>
Develops algorithms and models for solving complex AI problems, such as machine learning, natural language processing, computer vision, or robotics</li><li>
Designs experiments, collects and analyzes data, and develops prototypes to test new ideas and theories</li><li>
Explores new approaches, refines existing techniques, and optimizes algorithms for performance and scalability</li><li>
Stays up to date with the latest advancements in AI research and incorporates new techniques into ongoing project</li></ul>
What You&rsquo;ll Need<ul><li>
Demonstrated experience performing duties within a DoD, federal, or defense‑support environment</li><li>
Ability to operate effectively in a structured, mission‑driven, and customer‑facing government setting</li><li>
Experience supporting programs with defined task orders, performance metrics, and delivery timelines</li><li>
Ability to comply with all federal government contracting, suitability, and security requirements</li><li>
Strong communication skills and the ability to work with military, civilian, and contractor personnel</li></ul>
Required Clearance:
Must be a US Citizen and able to attain clearance.
CLEARABLE; SECRET PREFERRED (clearable) (#secret)
Required Qualifications:<ul><li>
Master&rsquo;s degree in information systems or related field</li><li>
10+ years of related experience</li><li>
Prior experience supporting USMC, DoD, or other federal defense organizations</li><li>
Familiarity with Marine Corps organizational structures, operational processes, or logistics/IT environments</li><li>
Experience briefing or supporting senior government or military leadership</li><li>
Understanding of federal acquisition, compliance, or operational frameworks</li></ul>
This position requires the ability to obtain and maintain a government security clearance at the level required by the task order. Employment is contingent upon award of task order and successful completion of the security clearance process and continued eligibility throughout the course of employment.<div></div><div>
Our AI Research Scientist's earn between $210,000 - $253,798. Not to mention all the other amazing rewards that working at AT&amp;T offers. Individual starting salary within this range may depend on geography, experience, expertise, and education/training.
Joining our team comes with amazing perks and benefits:<ul><li>
Medical/Dental/Vision coverage</li><li>
401(k) plan</li><li>
Tuition reimbursement program</li><li>
Paid Time Off and Holidays (based on date of hire, at least 23 days of vacation each year and 9 company-designated holidays)</li><li>
Paid Parental Leave</li><li>
Paid Caregiver Leave</li><li>
Additional sick leave beyond what state and local law require may be available but is unprotected</li><li>
Adoption Reimbursement</li><li>
Disability Benefits (short term and long term)</li><li>
Life and Accidental Death Insurance</li><li>
Supplemental benefit programs: critical illness/accident hospital indemnity/group legal</li><li>
Employee Assistance Programs (EAP)</li><li>
Extensive employee wellness programs</li><li>
Employee discounts up to 50% off on eligible AT&amp;T mobility plans and accessories, AT&amp;T internet (and fiber where available) and AT&amp;T phone</li></ul></div>
Weekly Hours:
40
Time Type:
Regular
Location:
Chantilly, Virginia
It is the policy of AT&amp;T to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, AT&amp;T will provide reasonable accommodations for qualified individuals with disabilities. AT&amp;T is a fair chance employer and does not initiate a background check until an offer is made.</div>

AI Research Scientist (Government)

Handshake

<div>
 
 About Handshake
 
 
 
 Handshake is the career network for the AI economy. 20 million knowledge workers, 1,600 educational institutions, 1 million employers (including 100% of the Fortune 50), and every foundational AI lab trust Handshake to power career discovery, hiring, and upskilling, from freelance AI training gigs to first internships to full-time careers and beyond. This unique value is leading to unparalleled growth; in 2025, we tripled our ARR at scale.
 
 
 
 Why Join Handshake Now
 
 
 
 <ul>
 <li>
 Shape how every career evolves in the AI economy, at global scale, with impact your friends, family and peers can see and feel
 </li>
 <li>
 Work hand-in-hand with world-class AI labs, Fortune 500 partners and the world&rsquo;s top educational institutions
 </li>
 <li>
 Join a team with leadership from Scale AI, Meta, xAI, Notion, Coinbase, and Palantir, among others
 </li>
 <li>
 Build a massive, fast-growing business with billions in revenue
 
 
 </li>
 </ul>
 
 About The Role
 
 
 
 Untangling the science of Data &amp; Evaluations for Frontier AI
 
 
 Thanks to our massive network of the world&rsquo;s top experts in all domains, the demand for human data from Handshake AI has exploded (with revenue growing from 0 to well over 9-figures in the first year and growth only accelerating since). Now the world&rsquo;s top AI Labs are looking to Handshake for advice on how to leverage human expertise to make frontier models more useful for everyone, and we are forming a leading research group to advance the science of Data and Evaluations for AI.
 
 
 
 You Will
 
 
 
 <ul>
 <li>
 Publish papers, open source software, and do bleeding-edge open science on AI agents, LLMs and frontier multimodal models, RL environments, post-training.
 </li>
 <li>
 Work with all of the top AI Labs in the world and understand/shape what their researchers are prioritizing (uniquely, you get to work on research at a company whose customers are top AI researchers)
 </li>
 <li>
 Create public benchmarks that meaningfully measure AI progress, leveraging thousands of the world&rsquo;s top experts in different domains from the Handshake network to construct the most representative/high-quality benchmark.
 </li>
 <li>
 Shape the frontier of AI through high-impact research on topics that matter: how to measure/value data, how to effectively evaluate AI, what shapes of data are most effective as AI advances, what makes effective training/RL environments, post-training data recipes.
 
 
 </li>
 </ul>
 
 Desired Capabilities
 
 
 
 <ul>
 <li>
 Based in San Francisco, and excited to work in the office.
 </li>
 <li>
 Ph.D. in ML/AI, data science, or related fields.
 </li>
 <li>
 Publications in top AI/ML venues like NeurIPS, ICML, ICLR.
 </li>
 <li>
 Builders who love to tinker with LLMs/Agents and ship high-quality software, benchmarks/datasets, research, blogs.
 
 
 </li>
 </ul>
 
 Perks
 
 
 
 Handshake delivers benefits that help you feel supported&mdash;and thrive at work and in life.
 
 
 
 
 The below benefits are for full-time US employees.
 
 
 
 
 🎯
 
 Ownership:
 
 Equity in a fast-growing company
 
 
 💰
 
 Financial Wellness
 
 : 401(k) match, competitive compensation, financial coaching
 
 
 🍼
 
 Family Support:
 
 Paid parental leave, fertility benefits, parental coaching
 
 
 💝
 
 Wellbeing:
 
 Medical, dental, and vision, mental health support, $500 wellness stipend
 
 
 📚
 
 Growth:
 
 $2,000 learning stipend, ongoing development
 
 
 💻
 
 Remote &amp; Office:
 
 Internet, commuting, and free lunch/gym in our SF office
 
 
 🏝
 
 Time Off:
 
 Flexible PTO, 15 holidays + 2 flex days, winter #ShakeBreak where our whole office closes for a week!
 
 
 🤝
 
 Connection:
 
 Team outings &amp; referral bonuses
 
 
 Explore our mission, values, and comprehensive US benefits at joinhandshake.com/careers.
 
 
 Compensation Range: $320K - $365K
 
 
</div>

AI Research Scientist

Prolific

<div>
 
 AI Trainer &ndash; Research Scientists
 
 
 
 
 
 About Prolific
 
 
 
 
 Prolific is not just another player in the AI space &ndash; we are building the biggest pool of quality human data in the world.
 
 
 Over 35,000 AI developers, researchers, and organizations use Prolific to gather data from paid study participants with a wide variety of experiences, knowledge, and skills.
 
 
 
 
 The role
 
 
 
 
 We&rsquo;re looking for people with Research Scientist experience to work as self-employed AI Trainers to help train and evaluate cutting-edge AI models from some of the world&rsquo;s biggest AI labs. If you have the necessary experience, we&rsquo;ll send you a quick 10- to 15-minute test to assess your skills and suitability for AI tasks. If successful, you&rsquo;ll be invited to join Prolific as a Domain Expert participant, where you&rsquo;ll get paid to train and evaluate powerful AI models.
 
 
 Researchers looking for your skills tend to pay up to $50/hr subject to the length of tasks available. If successful, you must be prepared to complete paid tasks that require one hour of uninterrupted work, though many are shorter.
 
 
 
 
 What you&rsquo;ll be doing in the role
 
 
 
 
 Completing AI training tasks such as analyzing, editing, and writing research-focused content
 
 
 Judging the performance of AI on research design, methodology, and scientific reasoning prompts
 
 
 Improving cutting-edge AI models using your experience in research and experimentation
 
 
 
 
 What you&rsquo;ll bring
 
 
 
 
 Experience working as a Research Scientist or in a closely related research role
 
 
 A strong understanding of scientific methodology, experimental design, and data analysis
 
 
 A willingness to take our skills verification test to assess your suitability for our Domain Expert participant pool
 
 
 Strong attention to detail and the ability to concentrate on complex tasks for up to one hour at a time
 
 
 A reliable and fast internet connection and access to a computer
 
 
 A Paypal account to receive payment from our clients*
 
 
 
 
 Why Prolific is a great platform to join as a Domain Expert participant
 
 
 
 
 Joining our platform as a Prolific participant will give you the chance to influence the AI models of the future. Once you pass our assessment, you can join Prolific in just 15 minutes, and start enjoying competitive pay rates, flexible hours, and the ability to work from home.
 
 
 We've built a unique platform that connects researchers and companies with a global pool of participants, enabling the collection of high-quality, ethically sourced human behavioural data and feedback. This data is the cornerstone of developing more accurate, nuanced, and aligned AI systems.
 
 
 We believe that the next leap in AI capabilities won't come solely from scaling existing models, but from integrating diverse human perspectives and behaviours into AI development. By providing this crucial human data infrastructure, Prolific is positioning itself at the forefront of the next wave of AI innovation &ndash; one that reflects the breadth and the best of humanity.
 
 
 <ul>
 <li>
 Participants are self-employed and need to declare earnings to their respective tax authorities. Prolific has no liability for any tax obligations or reporting requirements resulting from compensation received through this platform. Each participant is solely responsible for compliance with applicable tax laws in their jurisdiction.
 
 
 </li>
 </ul>
 
 Links to more information on Prolific
 
 
 
 Website
 
 
 Youtube
 
 
 Privacy Statement
 
 
 By submitting your application, you agree that Prolific may collect your personal data for recruiting and global organisation planning. Prolific's Candidate Privacy Notice explains what personal information Prolific may process, where Prolific may process your personal information, its purposes for processing your personal information, and the rights you can exercise over Prolific use of your personal information.
</div>

AI Training - Research Scientist (PST)

New York University Abu Dhabi

<div>
 The Center for Technology, Economics, and Development (CTED) at New York University Abu Dhabi (NYUAD) invites applications from individuals to be appointed as a Junior Research Scientist (AI-Blockchain Project) for a one-year period, with the possibility of renewal conditional on excellent performance.
 
 
 The Junior Research Scientist (AI-Blockchain Research) will support advanced, quantitatively intensive research at CTED with a primary focus on artificial intelligence, machine learning, mathematical modeling, and computational analysis. The Junior Research Scientist will play a central role in supporting research design, algorithmic development, data analysis, and coding tasks across CTED&rsquo;s interdisciplinary projects. Working under the direction of the Principal Investigator (PI), Dr. Yaw Nyarko, and Co-Principal Investigator (Co-PI), Dr. Ra&scaron;a Karapand&zcaron;a, the Junior Research Scientist will contribute to AI-driven and blockchain-enabled research related to commodities markets and economic development. The role requires strong foundations in mathematics and computer science, including statistical learning, optimization, simulation, and algorithmic reasoning. The successful candidate will use programming and computational tools (including Python, MATLAB, and related libraries) to develop, test, and evaluate machine learning models; review, proofread, and execute formal mathematical proofs; implement optimization and simulation-based methods; and analyze large and complex datasets. Responsibilities include supporting experimental and field-based research, preparing literature reviews, translating complex AI and mathematical findings into clear written outputs, and contributing to research reports, concept notes, and academic publications.
 
 
 Candidates must hold a Master&rsquo;s degree in Computer Science, Data Science, Mathematics or a related field (e.g., Economics with a strong mathematics background). and have less than five years of relevant research experience; or hold a Bachelor&rsquo;s degree in a relevant field with any level of research experience. Applicants must have extensive coding experience, and preferably, applicants will have experience conducting field research in emerging countries and working on randomized controlled trials (RCTs). Applicants with experience working in programming languages such as Python, JavaScript, and/or MATLAB, a strong interest in economic and quantitative research and the willingness to learn about the blockchain, are encouraged to apply. Experience in web development, blockchain, commodities markets, and technology and economic development will be considered a plus. The successful candidate will work in a multidisciplinary environment, working autonomously, but as a team member under the direction of the Principal Investigator.
 
 
 The terms of employment are very competitive. Applications will be accepted immediately, and candidates will be considered until the position is filled. For consideration, applicants need to submit a cover letter, curriculum vitae/resume, transcript of degree, and one academic writing sample, and 2 contact references, all in PDF format. If you have any questions, please email amp330@nyu.edu.
 
 
 NYUAD is an equal-opportunity employer. We welcome applications from all qualified candidates and seek individuals who will contribute to the excellence and vibrancy of our academic community.
 
 
 Applications are welcome from all qualified candidates. In line with UAE regulations, Emirati candidates are encouraged to apply.
 
 
 
 About NYU Abu Dhabi
 
 
 
 https://nyuad.nyu.edu/en/
 
 
 NYU Abu Dhabi is the first comprehensive liberal arts and research campus in the Middle East to be operated abroad by a major American research university. Times Higher Education ranks NYU among the top 30 universities in the world, making NYU Abu Dhabi the highest-ranked university in the UAE and MENA region. NYU Abu Dhabi has integrated a highly selective undergraduate curriculum across the disciplines with a world center for advanced research and scholarship. The university enables its students in the sciences, engineering, social sciences, humanities, and arts to succeed in an increasingly interdependent world and advance cooperation and progress on humanity&rsquo;s shared challenges. NYU Abu Dhabi&rsquo;s high-achieving students have come from over 120 countries and speak over 100 languages. Together, NYU's campuses in New York, Abu Dhabi, and Shanghai form the backbone of a unique global university, giving faculty and students opportunities to experience varied learning environments and immersion in other cultures at one or more of the numerous study-abroad sites NYU maintains on six continents.
 
 
 NYUAD is committed to upholding a culture of non-discrimination, anti-harassment, dignity, and mutual respect; providing equal access and opportunity; and fostering academic excellence in learning, research, and teaching.
 
 
 Students are drawn from among the world&rsquo;s best. They are bright, intellectually passionate, and committed to building a campus environment anchored in mutual respect, understanding, and care. The NYUAD undergraduate student body has garnered an impressive record of scholarships, graduate-school admissions, and other global honors. Graduate education is an area of growth for the University; the current graduate student population of over 100 students is expected to expand in the next decade as doctoral programs are developed.
 
 
 Working for NYUAD
 
 
 At NYUAD, we recognize that Abu Dhabi is more than where you work; it&rsquo;s your home. In order for faculty/academic staff to thrive, we offer a comprehensive benefits package. This starts with a generous relocation allowance; educational assistance for your dependents; access to health and wellness services; and more. NYUAD is committed to faculty/academic staff success throughout the academic trajectory, providing support for ambitious and world-class research projects and innovative, interactive teaching approaches. Support for dual-career families is a priority. Visit our website for more information on benefits for you and your dependents.
 
 
 Join NYU Abu Dhabi, an exceptional place for exceptional people.
 
 
 NYUAD values belonging and respect; such principles are fundamental to the university&rsquo;s commitment to excellence. NYUAD is an equal-opportunity employer. We welcome applications from all qualified candidates and seek individuals who will contribute to our vibrant, multidisciplinary research and teaching community. Multidisciplinary research and exceptional teaching in a global campus community are hallmarks of the University&rsquo;s mission.
 
 
 
 Equal Employment Opportunity Statement
 
 
 
 
 For people in the EU, click here for information on your privacy rights under GDPR: www.nyu.edu/it/gdpr
 
 
 
 NYU is an Equal Opportunity Employer and is committed to a policy of equal treatment and opportunity in every aspect of its recruitment and hiring process without regard to age, alienage, caregiver status, childbirth, citizenship status, color, creed, disability, domestic violence victim status, ethnicity, familial status, gender and/or gender identity or expression, marital status, military status, national origin, parental status, partnership status, predisposing genetic characteristics, pregnancy, race, religion, reproductive health decision making, sex, sexual orientation, unemployment status, veteran status, or any other legally protected basis. All interested persons are encouraged to apply for vacant positions at all levels.
 
 
 
 Sustainability Statement
 
 
 
 NYU aims to be among the greenest urban campuses in the country and carbon neutral by 2040. Learn more at nyu.edu/sustainability
</div>

Junior Research Scientist in the Division of Social Science (CTED) - Dr. Yaw Nyarko

Inception

<div>
 
 Overview
 
 
 
 Inception is seeking a highly proficient and accomplished Sr. Applied Scientist, with a proven track record, to develop efficient deep-learning and generative AI algorithms and conceive innovative AI-centric models. This role offers a unique opportunity to work closely with our product development teams, applying emerging technologies across a diverse range of applications.
 
 
 The opportunity
 
 
 Join a fast-paced, future-driven company and become part of a dynamic, forward-thinking team with the most extensive AI service repository and a mission to establish itself as the premier AI Platform-as-a-Service for businesses and developers alike.
 
 
 Inception is the UAE&rsquo;s national-scale enabler in AI Research and Development. Partnering with Microsoft's AI SaaS, we offer domain-specific Agentic AI Orchestrator platforms utilizing reasoning agents for precise and cost-effective services. Our focus includes AI incubation, IP creation, applied AI R&amp;D, and AI investment products. By creating models tailored to specific domains and languages, we ensure superior accuracy and efficiency. Collaborating with top universities and industry giants to drive significant advancements in AI technology within the region.
 
 
 
 Responsibilities
 
 
 
 Your key responsibilities
 
 
 In the Sr. Applied Scientist role you will play a crucial part in pioneering research and development across various facets of AI, including but not limited to computer vision, natural language processing, and audio signal processing. Your work will involve the creation and optimization of cutting-edge AI algorithms and deep learning models, contributing to advancements in areas such as semantic understanding, multidimensional data interpretation, and human-machine interactions. Furthermore, your innovative efforts will be applied to a spectrum of practical use cases, serving pivotal industries such as finance, oil and gas, environmental science, and healthcare, thereby driving forward the frontier of impactful AI solutions in real-world scenarios.
 
 
 <ul>
 <li>
 Engage in the design, analysis and optimization of foundational and applied research to power the state-of-the-art AI algorithms and model capabilities at Inception. This will involve staying well-informed of emerging trends, understanding and manipulating complex datasets, and conceptualizing models that are both innovative and applicable to real-world scenarios.
 </li>
 <li>
 Work on comprehensive solutions that integrate various modalities, including text, audio, and visual data, enhancing the AI's ability to understand and interpret human interaction in a more nuanced manner.
 </li>
 <li>
 Collaborate with researchers and engineers across teams at Inception for the design, development, and continual improvement of AI algorithms, ensuring the implementations of such algorithms are optimized for efficiency, reliability, and scalability.
 </li>
 <li>
 Work alongside product development teams to integrate new algorithms and models into broader product offerings, and conduct proofs of concept (POC) as per client needs, ensuring that these innovations translate into tangible benefits for users and stakeholders.
 </li>
 <li>
 Propose scenarios where AI techniques could improve the efficiency of the customer&rsquo;s business.
 </li>
 <li>
 Provide pre-sales and post-sales technical support to the business development team.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 Skills and attributes for success
 
 
 The criteria for your success would include cost savings achieved, number of use cases investigated &amp; datasets mined, number of innovations/POCs deployed, number of existing processes optimized, and customer NPS.
 
 
 To qualify, you must have
 
 
 <ul>
 <li>
 M.Sc. or Ph.D. degree in computer science, engineering, or AI-related field. Specialization in Computer Vision, Natural Language Processing or Speech and Audio are highly desirable.
 </li>
 <li>
 Minimum 8 years of experience in developing AI algorithms for various modalities
 </li>
 <li>
 Track record of conducting high-level research, preferably evidenced by publications in peer-reviewed journals or a history of product-driven research and development.
 
 
 </li>
 </ul>
 Ideally, you&rsquo;ll also need
 
 
 <ul>
 <li>
 A highly curious and inquisitive approach to problem-solving
 </li>
 <li>
 In-depth knowledge of the latest developments in AI and machine learning
 </li>
 <li>
 Excellent communication skills
 
 
 </li>
 </ul>
 What we look for
 
 
 If you are a performance-driven, inquisitive mind with the agility to adapt to ambiguity, you will fit right in. You should be eager to explore opportunities to build meaningful collaborations with stakeholders and aspire to create unique customer-centric solutions. Bias for action and a passion to conquer new frontiers in the AI space is at the heart of the Inception community.
 
 
 What working at Inception offers
 
 
 Culture: An open, diverse and inclusive environment with a global vision that encourages personal growth and focuses on ground-breaking, industry-first innovations.
 
 
 Career: Outstanding learning, development &amp; growth opportunities via structured training programs and innovative, high-tech projects.
 
 
 Work-Life: A hybrid work policy to strike the perfect balance between office and home.
 
 
 Rewards: A competitive remuneration package with a host of perks including healthcare, education support, leave benefits and more.
 
 
 If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible.
</div>

Senior Applied Scientist

Amazon Web Services

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
Amazon Quick Suite is an enterprise AI platform that transforms how organizations work with their data and knowledge. Combining generative AI-powered search, deep research capabilities, intelligent agents and automations, and comprehensive business intelligence, Quick Suite serves tens of thousands of users. Our platform processes thousands of queries monthly, helping teams make faster, data-driven decisions while maintaining enterprise-grade security and governance. From natural language interactions with complex datasets to automated workflows and custom AI agents, Quick Suite is redefining workplace productivity at unprecedented scale. 
 
We are seeking a Data Scientist II to join our Quick Data team, focusing on evaluation and benchmarking data development for Quick Suite features, with particular emphasis on Research and other generative AI capabilities. Our mission is to engineer high-quality datasets that are essential to the success of Amazon Quick Suite. From human evaluations and Responsible AI safeguards to Retrieval-Augmented Generation and beyond, our work ensures that Generative AI is enterprise-ready, safe, and effective for users at scale. 
As part of our diverse team&mdash;including data scientists, engineers, language engineers, linguists, and program managers&mdash;you will collaborate closely with science, engineering, and product teams. We are driven by customer obsession and a commitment to excellence.
 
 
Key job responsibilities 
In this role, you will leverage data-centric AI principles to assess the impact of data on model performance and the broader machine learning pipeline. You will apply Generative AI techniques to evaluate how well our data represents human language and conduct experiments to measure downstream interactions. 
Specific responsibilities include: 
<ul><li>Design and develop comprehensive evaluation and benchmarking datasets for Quick Suite AI-powered features</li><li>Leverage LLMs for synthetic data corpora generation; data evaluation and quality assessment using LLM-as-a-judge settings</li><li>Create ground truth datasets with high-quality question-answer pairs across diverse domains and use cases</li><li>Lead human annotation initiatives and model evaluation audits to ensure data quality and relevance</li><li>Develop and refine annotation guidelines and quality frameworks for evaluation tasks</li><li>Conduct statistical analysis to measure model performance, identify failure patterns, and guide improvement strategies</li><li>Collaborate with ML scientists and engineers to translate evaluation insights into actionable product improvements</li><li>Build scalable data pipelines and tools to support continuous evaluation and benchmarking efforts</li><li>Contribute to Responsible AI initiatives by developing safety and fairness evaluation datasets</li></ul> 
About the team 
 
Why AWS? 
Amazon Web Services (AWS) is the world&rsquo;s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating &mdash; that&rsquo;s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. 
 
Inclusive Team Culture 
Here at AWS, it&rsquo;s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness. 
 
Mentorship &amp; Career Growth 
We&rsquo;re continuously raising our performance bar as we strive to become Earth&rsquo;s Best Employer. That&rsquo;s why you&rsquo;ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. 
 
Work/Life Balance 
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there&rsquo;s nothing we can&rsquo;t achieve in the cloud. 
 
Hybrid Work 
We value innovation and recognize this sometimes requires uninterrupted time to focus on a build. We also value in-person collaboration and time spent face-to-face. Our team affords employees options to work in the office every day or in a flexible, hybrid work model near one of our U.S. Amazon offices.</div><h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>2+ years of data scientist experience</li><li>3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience</li><li>3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience</li><li>1+ years of working with or evaluating AI systems experience</li><li>1+ years of creating or contributing to mathematical textbooks, research papers, or educational content experience</li><li>Master's degree in Science, Technology, Engineering, or Mathematics (STEM), or experience working in Science, Technology, Engineering, or Mathematics (STEM)</li><li>Experience applying theoretical models in an applied environment</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Ph.D. in Science, Technology, Engineering, or Mathematics (STEM)</li><li>Knowledge of machine learning concepts and their application to reasoning and problem-solving</li><li>Experience in a ML or data scientist role with a large technology company</li><li>Experience in defining and creating benchmarks for assessing GenAI model performance</li><li>Experience working on multi-team, cross-disciplinary projects</li><li>Experience applying quantitative analysis to solve business problems and making data-driven business decisions</li><li>Experience effectively communicating complex concepts through written and verbal communication</li></ul> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company&rsquo;s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 
 
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner. 
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits. 
USA, CA, Santa Clara - 157,300.00 - 212,800.00 USD annually 
USA, NY, New York - 153,400.00 - 207,500.00 USD annually 
USA, WA, Seattle - 136,000.00 - 184,000.00 USD annually</div>

Data Scientist, AWS Quick Data

Amazon Web Services (AWS)

<div>
 
 Description
 
 
 
 Amazon Quick Suite is an enterprise AI platform that transforms how organizations work with their data and knowledge. Combining generative AI-powered search, deep research capabilities, intelligent agents and automations, and comprehensive business intelligence, Quick Suite serves tens of thousands of users. Our platform processes thousands of queries monthly, helping teams make faster, data-driven decisions while maintaining enterprise-grade security and governance. From natural language interactions with complex datasets to automated workflows and custom AI agents, Quick Suite is redefining workplace productivity at unprecedented scale.
 
 
 We are seeking a Data Scientist II to join our Quick Data team, focusing on evaluation and benchmarking data development for Quick Suite features, with particular emphasis on Research and other generative AI capabilities. Our mission is to engineer high-quality datasets that are essential to the success of Amazon Quick Suite. From human evaluations and Responsible AI safeguards to Retrieval-Augmented Generation and beyond, our work ensures that Generative AI is enterprise-ready, safe, and effective for users at scale.
 
 
 As part of our diverse team&mdash;including data scientists, engineers, language engineers, linguists, and program managers&mdash;you will collaborate closely with science, engineering, and product teams. We are driven by customer obsession and a commitment to excellence.
 
 
 Key job responsibilities
 
 
 In this role, you will leverage data-centric AI principles to assess the impact of data on model performance and the broader machine learning pipeline. You will apply Generative AI techniques to evaluate how well our data represents human language and conduct experiments to measure downstream interactions.
 
 
 
 Specific Responsibilities Include
 
 
 
 <ul>
 <li>
 Design and develop comprehensive evaluation and benchmarking datasets for Quick Suite AI-powered features
 </li>
 <li>
 Leverage LLMs for synthetic data corpora generation; data evaluation and quality assessment using LLM-as-a-judge settings
 </li>
 <li>
 Create ground truth datasets with high-quality question-answer pairs across diverse domains and use cases
 </li>
 <li>
 Lead human annotation initiatives and model evaluation audits to ensure data quality and relevance
 </li>
 <li>
 Develop and refine annotation guidelines and quality frameworks for evaluation tasks
 </li>
 <li>
 Conduct statistical analysis to measure model performance, identify failure patterns, and guide improvement strategies
 </li>
 <li>
 Collaborate with ML scientists and engineers to translate evaluation insights into actionable product improvements
 </li>
 <li>
 Build scalable data pipelines and tools to support continuous evaluation and benchmarking efforts
 </li>
 <li>
 Contribute to Responsible AI initiatives by developing safety and fairness evaluation datasets
 
 
 </li>
 </ul>
 
 About The Team
 
 
 
 Why AWS?
 
 
 Amazon Web Services (AWS) is the world&rsquo;s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating &mdash; that&rsquo;s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
 
 
 Inclusive Team Culture
 
 
 Here at AWS, it&rsquo;s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness.
 
 
 Mentorship &amp; Career Growth
 
 
 We&rsquo;re continuously raising our performance bar as we strive to become Earth&rsquo;s Best Employer. That&rsquo;s why you&rsquo;ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
 
 
 Work/Life Balance
 
 
 We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there&rsquo;s nothing we can&rsquo;t achieve in the cloud.
 
 
 Hybrid Work
 
 
 We value innovation and recognize this sometimes requires uninterrupted time to focus on a build. We also value in-person collaboration and time spent face-to-face. Our team affords employees options to work in the office every day or in a flexible, hybrid work model near one of our U.S. Amazon offices.
 
 
 
 Basic Qualifications
 
 
 
 <ul>
 <li>
 2+ years of data scientist experience
 </li>
 <li>
 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
 </li>
 <li>
 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience
 </li>
 <li>
 1+ years of working with or evaluating AI systems experience
 </li>
 <li>
 1+ years of creating or contributing to mathematical textbooks, research papers, or educational content experience
 </li>
 <li>
 Master's degree in Science, Technology, Engineering, or Mathematics (STEM), or experience working in Science, Technology, Engineering, or Mathematics (STEM)
 </li>
 <li>
 Experience applying theoretical models in an applied environment
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Ph.D. in Science, Technology, Engineering, or Mathematics (STEM)
 </li>
 <li>
 Knowledge of machine learning concepts and their application to reasoning and problem-solving
 </li>
 <li>
 Experience in a ML or data scientist role with a large technology company
 </li>
 <li>
 Experience in defining and creating benchmarks for assessing GenAI model performance
 </li>
 <li>
 Experience working on multi-team, cross-disciplinary projects
 </li>
 <li>
 Experience applying quantitative analysis to solve business problems and making data-driven business decisions
 </li>
 <li>
 Experience effectively communicating complex concepts through written and verbal communication
 
 
 </li>
 </ul>
 Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
 
 
 Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company&rsquo;s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
 
 
 Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.
 
 
 The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
 
 
 USA, CA, Santa Clara - 157,300.00 - 212,800.00 USD annually
 
 
 USA, NY, New York - 153,400.00 - 207,500.00 USD annually
 
 
 USA, WA, Seattle - 136,000.00 - 184,000.00 USD annually
 
 
 
 
 Company
 
 - Amazon Development Center U.S., Inc.
 
 
 Job ID: A10411927
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