• Own and drive end-to-end UX research projects across multiple products and user segments • Design and execute mixed-method research (qualitative + quantitative) to understand user behavior, needs, and pain points • Translate research findings into clear, actionable recommendations for product, design, and business teams • Work closely with Product Managers, Designers, Analytics, and ML teams to shape hypotheses and validate product decisions • Integrate research into the product development lifecycle — from discovery to post-release evaluation • Identify opportunities to improve key product metrics (conversion, retention, engagement) through user insights • Present findings to stakeholders at different levels, influencing decisions with evidence rather than opinions • Contribute to building scalable research processes, frameworks, and tooling

Title: Researcher, Alignment Oversight Location: San Francisco Department: Research Compensation $250K – $445K • Offers Equity The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits. - Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts - Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit) - 401(k) retirement plan with employer match - Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks) - Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees - 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law) - Mental health and wellness support - Employer-paid basic life and disability coverage - Annual learning and development stipend to fuel your professional growth - Daily meals in our offices, and meal delivery credits as eligible - Relocation support for eligible employees - Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided. This role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions. Job Description: About the Team The Alignment Oversight team at OpenAI develops techniques for improving control, accountability, and alignment as AI systems become more capable and agentic. We also study how to learn from real-world deployments: using oversight data and human interventions to train future models to be more aligned, while preserving the effectiveness and independence of the oversight systems themselves. About the Role As a researcher on the Alignment team, you will design and run experiments that improve our ability to oversee increasingly capable models. You will work on hands-on model training, evaluation design, and research infrastructure, and translating promising oversight ideas into systems that can operate on real model traffic and real user workflows. This role combines longer-horizon research with shorter deployment sprints, with projects typically scoped around 3-6 month research timelines and aimed at directly improving future model behavior. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: - Design and implement alignment experiments focused on oversight systems for increasingly agentic AI models. - Deploy practical systems for action monitoring, red-teaming, and human-in-the-loop control. - Develop evaluations for alignment failure modes of the frontier models such as overeagerness, instruction following failures, covert actions, avoiding restrictions and scheming propensity. - Analyze deployment data to understand model failures, oversight gaps, and opportunities for training more aligned models. - Develop techniques for feeding oversight signals back into training while preserving the reliability and independence of the oversight process. - Produce externally publishable research when results advance the broader science of alignment. - Collaborate across research, product, security, safety, and engineering teams to turn alignment ideas into working systems. - Move quickly from research intuition to working experiments, prototypes, and evidence that can shape future models. You might thrive in this role if you: - Have strong hands-on experience training, evaluating, or debugging large ML models, especially LLMs. - Have experience with reinforcement learning, post-training, preference optimization, scalable oversight, model evaluation, or adjacent empirical ML research. - Have strong engineering execution and can turn ambiguous research ideas into reliable experiments, tools, training pipelines, and production-facing systems. - Have research intuitions for what experiments are likely to teach us something, while staying grounded in implementation details and empirical results. - Are a team player - willing to do a variety of tasks that move the team forward. - Enjoy fast-paced, collaborative research environments where priorities shift as models and evidence change. - See safety and usefulness as coupled goals. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link. OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

Role Description GiveWell is seeking exceptional Senior Researchers to join our Cross-Cutting team—which is responsible for tackling thorny methodological questions, pressure-testing our conclusions, and ensuring research quality as we scale. You'll work on problems that span all of GiveWell's grantmaking areas and shape how we think about cost-effectiveness, uncertainty, and impact. This role is ideal for researchers who thrive on variety and complexity: - Develop frameworks for comparing health interventions to poverty alleviation programs. - Design a "lookback" study to assess whether past grants achieved their intended impact. - Incorporate local field insights into cost-effectiveness models. As part of our research team, you will have an outsized influence on our funding decisions and help us save and improve lives on a global scale. Qualifications - Quantitatively-oriented advanced degrees. - Substantial relevant experience using empirical tools to make rigorous, evidence-based decisions. - 5-10 years of post-grad work experience preferred. Requirements - Ability to tackle hard research questions, such as: - Valuing averting a death versus improving health outcomes versus increasing income. - Estimating burden of disease when data sources contradict each other. - Setting cost-effectiveness bars over time amidst unpredictable funding. - Advising donors on timing for giving. - Accounting for uncertainty in cost-effectiveness estimates. - Modeling spillover effects between health programs and income. - Determining appropriate discount rates. - Assessing unintended consequences of grantmaking. - Verification and learning: - Evaluating whether grants achieve predicted outcomes. - Learning from intensive "lookbacks" on past grants. - Catching potential issues like caseload inflation and data reliability early. - Incorporating field insights and external feedback into research. - Designing M&E systems that accurately assess grant effectiveness. - Improving forecasting skills and accuracy. - Building research infrastructure: - Training new researchers to be productive quickly. - Exploring AI tools to reduce research time without sacrificing quality. - Simplifying cost-effectiveness models for routine grants. - Building field networks for accurate data. - Creating user-friendly databases for M&E data and findings. Benefits - Fully funded health, dental, vision, and life insurance (100% of premiums covered within the US). - Four weeks of paid time off per year. - 16 weeks of fully paid parental leave. - Ergonomic home workstations or coworking space memberships. - 403(b) retirement plan. Company Description GiveWell is dedicated to finding and funding outstanding giving opportunities in global health and development, sharing the full details of our analysis with everyone for free. Since 2007, we’ve directed over $2.6 billion to cost-effective programs and interventions. - Helped governments implement high-impact health programs. - Funded program delivery alongside strengthened monitoring and evaluation. - Sought to scope and scale promising interventions. - Tested assumptions through further research.

Role Description GiveWell is seeking a Senior Vaccination Researcher to help us direct tens of millions of dollars annually to the most cost-effective vaccination programs that we can find. You will have an outsized influence on our funding decisions and help us save and improve lives on a global scale. Our vaccination grantmaking is focused on increasing coverage of routine immunization in children under the age of two in areas with high burden of vaccine-preventable disease. This has included: - Supporting targeted outreach and mobile vaccination - Demand-side incentives - Support for malaria vaccine rollout In the future, we may expand into new areas such as: - Campaigns - Subsidizing vaccine procurement - Supply chain support - Surveillance and outbreak response - R&D for vaccines or vaccine delivery technology As a Senior Vaccination Researcher, you’ll create and lead ambitious research agendas related to our portfolios of work and answer complex questions that will inform GiveWell’s grantmaking decisions. What you might work on in your first year: - How should GiveWell’s portfolio of investments change in response to new technologies and shifts in government or funder resources and priorities? - What are the most promising opportunities for grant-making in areas such as surveillance and outbreak response and R&D for vaccines or vaccine delivery technology? - How can we improve our methods for evaluating the impact of programs on vaccination coverage? - What are the core differences between GiveWell's cost-effectiveness model and other vaccine cost-effectiveness models? - What is the best design for a study to improve available estimates of the impact of key childhood vaccines on disease-specific mortality or all-cause mortality? The Senior Vaccination Researcher will help shape a major annual grantmaking portfolio, own grant investigations end-to-end, and represent GiveWell to external counterparts. Qualifications - A quantitatively oriented advanced degree (e.g., in epidemiology, statistics, economics or related fields) - Substantial professional experience in the vaccination landscape (broadly defined) Requirements - Curiosity and willingness to interrogate others’ work - Ability to surface value judgments and strategic commitments - Strong communication skills regarding confidence levels - Ability to moderate directness and intensity in communication - Passion for solving complex problems - Constant assessment of team priorities Benefits - Fully funded health, dental, vision, and life insurance (100% of premiums within the US for you and any dependents) - Four weeks of paid time off per year, plus a one week organization-wide summer break - 16 weeks of fully paid parental leave - Ergonomic home workstations or coworking space memberships - 403(b) retirement plan Company Description GiveWell is dedicated to finding and funding outstanding giving opportunities in global health and development, sharing the full details of our analysis with everyone for free. Since 2007, we’ve directed over $2.6 billion to cost-effective programs and interventions. - GiveWell grants have helped governments implement high-impact health programs. - Funded program delivery alongside strengthened monitoring and evaluation. - Sought to scope and scale promising interventions. - Tested assumptions through further research.