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About the Role
Mercor is committing $5 million to fund safety research, focusing on critical areas like misalignment, sandbox escape, evaluation awareness, interpretability, oversight and control, and red-teaming methodology. This grant supports researcher hours, API credits, and stipends for event attendance, aiming to address the safety challenges of frontier AI deployment.
Responsibilities
- Conduct research in AI safety, focusing on areas such as misalignment, sandbox escape, evaluation awareness, interpretability, oversight and control, and red-teaming methodology.
- Publish research findings in the form of a paper, open dataset, public methodology, or tool.
- Utilize provided funding for researcher time, API credits, and event attendance.
- Leverage Mercor's expert network for human grading, red-teaming, and annotation, where applicable.
- Access Mercor's internal evaluation infrastructure, subject to review.
- Engage with Mercor's network of researchers across frontier labs and academia.
Requirements
- Submit an Expression of Interest, including a one- or two-page document detailing your team, background, research accomplishments, proposed research project, and expected outputs/impact with timelines and resource requirements.
- Have a specific, well-scoped research question.
- Be an independent researcher, academic, PhD student, or small team.
- Possess a background in ML, CS, statistics, or an adjacent field (measurement, psychometrics, HCI, security, social science).
- Experience with agentic evaluation, RL environments, adversarial ML, or systems security is a plus.
Skills
- AI Safety Research
- Misalignment
- Sandbox Escape
- Evaluation Awareness
- Interpretability
- Oversight and Control
- Red-teaming Methodology
- Machine Learning
- Computer Science
- Statistics
- Measurement
- Psychometrics
- Human-Computer Interaction (HCI)
- Security
- Social Science
- Agentic Evaluation
- RL Environments
- Adversarial ML
- Systems Security
Location
- San Francisco
- New York City
- London
Work Type
- In-person
Experience Level
- Independent researchers
- Academics
- PhD students
- Small teams
Education Level
- PhD
Benefits
- Funding for researcher time
- API credits
- Stipends for event and conference attendance
- Access to Mercor's expert network
- Access to Mercor's internal evaluation infrastructure
- Introductions to Mercor's network of researchers
About the Company
- Mercor is a leading AI data company organizing human intelligence to power the AI economy.
- We build the layer between human expertise and frontier models.
- Millions of domain experts are paid over $4 million per day to train frontier AI models.
- Mercor's APEX benchmark family measures AI's real-world impact on professional work.
- Mercor Enterprise brings this infrastructure to Fortune 500 companies to capture how their best people work and translate that expertise into agents.
- Mercor is creating a new category of work where expertise powers AI advancement.
- We are a profitable Series C company valued at $10 billion.