Researcher, Alignment CoT Monitorability

The role

You will design and run empirical studies of chain-of-thought monitorability across frontier reasoning models. You will investigate how training interventions influence monitorability and build evaluations to measure these questions.

What you will do

• Design and run empirical studies of chain-of-thought monitorability across frontier reasoning models and training settings.
• Build evaluations that measure whether monitors can reliably predict properties of interest.
• Investigate how various interventions improve or degrade monitorability.
• Analyze model behavior and turn observations into hypotheses, experiments, and recommendations.
• Translate research findings into practical monitoring and oversight approaches.
• Collaborate with researchers and engineers across model training, alignment evaluations, monitoring, and frontier-risk work.
• Produce externally publishable research.

Required qualifications

• Strong empirical ML expertise.
• Strong hands-on experience training, evaluating, or debugging large ML models, especially LLMs.

Nice to have

• Direct chain-of-thought interpretability experience
• Depth in alignment, interpretability, model behavior, empirical ML, or adjacent research

Benefits

• Relocation assistance

Before you apply

• Background checks for applicants will be administered in accordance with applicable law.

About the company

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity.