Чётко очерченная исследовательская роль в передовой AI-компании даёт редкую возможность влиять на реальные модели и оценивать их воздействие; также указаны сильный пакет льгот и бюджет на обучение.
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Выше рынкаПередовой стекПонятные задачиБольшой охватСильный пакет льгот
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Hirify AI/Оригинал
TL;DR
Researcher (AI): Developing scalable training methods, evaluations, and reinforcement learning environments that improve frontier models' ability to understand human values and support long-term goals with an accent on difficult-to-verify outcomes, human feedback, and generalization. Focus on leading ambiguous research from problem definition through experiments and deployment, building 0→1 capabilities in education and mental health, and measuring AI's effects on human flourishing at billion-user scale.
Location: San Francisco, United States
Salary: $380K–$500K annually, plus equity, performance-related bonuses for eligible employees, and benefits.
Company
OpenAI is an AI research and deployment company developing general-purpose AI intended to benefit humanity.
What you will do
Develop scalable training methods across pretraining, reinforcement learning, and post-training to improve models' understanding of human values, support for user agency, and ability to help with long-term goals.
Lead research from open questions through success criteria, experiments, and integration into frontier models and shipped products.
Build reinforcement learning environments and evaluations for difficult-to-verify outcomes, including assessments grounded in human expertise and feedback.
Study whether model-behavior measures predict learning, wellbeing, and other long-term outcomes, and use the findings to guide training.
Build new 0→1 capabilities in human domains such as education and mental health and assess their impact on human flourishing at a scale of over one billion users.
Partner with product, engineering, partnerships, and domain experts to deploy methods, measure real-world effects, and improve models.
Requirements
Strong research record in pretraining or reinforcement learning/post-training, particularly in a hard-to-verify area, or strong LLM research skills combined with deep expertise in education, mental health, or a related human-benefit field.
Hands-on ability to turn ideas into rigorous experiments, write and debug code, and work directly with data and training infrastructure.
Ability to select consequential problems and actionable steps, including for ambiguous or unglamorous work.
Ability to assess whether capabilities will scale, generalize, and reach real-world use beyond papers or prototypes.
Ability to work across disciplines and identify the main bottlenecks to scaling impact in a multidisciplinary problem.
Deep commitment to improving people's lives through increasingly capable AI.
Culture & Benefits
Full-time, at-will employment with work based in San Francisco.
Medical, dental, and vision insurance for employees and families, with employer HSA contributions, plus FSA and dependent-care accounts.
401(k) plan with employer match, paid parental and medical/caregiver leave, paid time off, paid holidays, office closures, and sick or safe time.
Mental health support, life and disability coverage, and an annual learning and development stipend.
Daily office meals, eligible meal-delivery credits, relocation support for eligible employees, and additional taxable benefits such as donation matching and wellness stipends.
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