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!