Materials Science PhD - AI Evaluator

mercor - United States - original posting ->
Status
Open
Remote policy
Remote
Employment type
Not stated
Salary
Not stated
Categories
AI-Evaluation, Scientific-Computing, Materials-Science-Research, Research-Engineering, AI-Training-Data-Development, AI-Research-Evaluator, AI-Evaluation-Engineer, AI-ML-Evaluation-Specialist, AI-Evaluation-Specialist, AI-Evaluation-Analyst, AI-Evaluator, AI-Model-Evaluation-Specialist, ML-Evaluation-Engineer, AI-ML-Evaluator
Tech
dockerpythonremote-country
Source
himalayas
First observed
2026-08-29 11:34 UTC
Last seen
2026-08-29 11:34 UTC
Source claims posted
2026-08-29 09:55 UTC
Consecutive misses
1 of 10

What the posting says

About the job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Position: Material Science PhD Coding Experts

Type:Contract

Compensation:$70/hour

Location:Remote

Duration:6 weeks

Commitment:20+ hours/week

Role Responsibilities

Source material from published papers, Kaggle datasets, open-source repositories, or designed scenarios.

Write scientific prompts based on sourced input to challenge AI models.

Build grading criteria to define correct answers for scientific tasks.

Calibrate tasks against frontier models, ensuring tasks ship only when strong models fail more often than succeed.

Work independently and asynchronously to meet deadlines and improve AI model performance.

Qualifications

Must-Have

PhD in materials science, materials engineering, applied physics, chemistry, chemical engineering, or a closely related field.

Demonstrated depth in semiconductor materials and molecular modeling.

Working proficiency in Python, R, or another relevant programming language for scientific computing.

Comfortable with Git/GitHub and running code in Docker.

Preferred

Publications in peer-reviewed journals.

Prior scientific software or research engineering experience.

Start Date

Immediate

Interview Process

Upload your resume and application form.

A 25-minute conversational interview covering your background, experience, and motivations.

Follow up within a few days with next steps and onboarding.

Application Process (Takes 20–30 mins to complete)

Upload resume

AI interview based on your resume

Submit form

Resources & Support

For details about the interview process and platform information, please check:

For any help or support, reach out to:

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

Originally posted on Himalayas

Quality

Completeness: 65%

Not enough history yet to judge honesty signals.

Timeline

  1. *
    #436144 2026-08-29 11:34 UTC
    Published
  2. o
    #437341 2026-08-29 13:07 UTC
    Not seen
    Miss 1 in a row