Simulated Research Reviewer (MechE & Mat-Sci)

Mercor is hiring Mechanical Engineering and Materials Science experts to review simulated-research environments for a leading AI lab.

What You'll Do

You will evaluate simulated-research environments, each built around a seed (underlying simulator/dataset). For each environment you will review input data and 3+ agent trajectories — each trajectory is a different prompt posed against the same seed, together with the model's full response.

Your structured feedback covers:

• Trajectory Summarization — summarize what each agent did, how it reached its answer, and the scientific reasoning it used

• Problem Quality — rate whether the problem is a realistic scientific question requiring real scientific skills

• Construction Quality — assess context sufficiency, experiment utility, solvability, experiment selection importance, saturation/headroom, and scoring metric reasonableness

• Question Diversity — evaluate how diverse the prompts are within the environment

• Alternative Framing — suggest more natural or interesting task formulations for the same underlying simulator

Ideal Qualifications

• Degree: Master's or PhD in Mechanical Engineering, Materials Science, or a closely related field

• Research Experience: Hands-on experience with computational simulation, experimental design, or scientific computing

• Analytical Writing: Ability to provide clear, structured technical feedback

• Domain Depth: Strong command of core principles in your specialty area

Project Details

• Start Date: Immediate

• Duration: ~3 weeks (final delivery 6/26)

• Commitment: Part-time, flexible hours

• Pay: Hourly

Apply today to shape the next generation of AI research agents!

We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request.

Contract and Payment Terms

• You will be engaged as an independent contractor.
• This is a fully remote role that can be completed on your own schedule.
• Projects can be extended, shortened, or concluded early depending on needs and performance.
• Your work at Mercor will not involve access to confidential or proprietary information from any employer, client, or institution.
• Payments are weekly on Stripe or Wise based on services rendered.
• Please note: We are unable to support H1-B or STEM OPT candidates at this time.

About Mercor

Mercor partners with leading AI labs and enterprises to train frontier models using human expertise. You will work on projects that focus on training and enhancing AI systems. You will be paid competitively, collaborate with leading researchers, and help shape the next generation of AI systems in your area of expertise.