STEM Research Scientist - Fully Remote | Upto $90/hr

mercor; United States; Remote; USD 83,000 - 124,000; Part time

Job summary

Mercor is seeking a STEM Researcher — Computational Fields for a remote contract. The position involves designing multi-step tasks, authoring solutions with Python and notebooks, and rigorously evaluating AI models to ensure solid reasoning.

Ideal candidates hold an MSc or PhD in a STEM field with 1+ years in research, and are proficient in Python-based analysis, experimental design, and Git/notebook environments. Compensation is $60–$90 per hour with a 35-hour weekly commitment.

Qualifications

• MSc or PhD in a STEM field or equivalent practical experience.
• 1+ years in an active research role.
• Experience with Python-based analysis, simulation, or data pipelines.
• Strong grounding in experimental design and hypothesis testing.
• Familiarity with Git, IDEs, and notebook environments.

Responsibilities

• Design tasks by turning everyday research skills into engaging, multi-step tasks.
• Author solutions using Python and notebooks, ensuring rigor and precision.
• Define criteria for sound scientific reasoning versus superficial reasoning.
• Evaluate models by reviewing attempts and identifying immediate mistakes.
• Work as a team to ensure consistent and accurate evaluations.

Skills

Python

Git

IDEs

Notebooks

Education

MSc or PhD in STEM

Tools

Git

Jupyter

IDEs

Job description

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: STEM Researcher — Computational Fields Type: Contract Compensation: $60–$90/hour Location: Remote Commitment: 35 hours/week

Role Responsibilities

• Design tasks by turning everyday research skills into engaging, multi-step tasks.
• Author solutions using Python and notebooks, ensuring rigor and precision.
• Define criteria for sound scientific reasoning versus superficial reasoning.
• Evaluate models by reviewing attempts and identifying immediate mistakes.
• Work as a team to ensure consistent and accurate evaluations.

Qualifications Must-Have

• MSc or PhD in a STEM field or equivalent practical experience.
• 1+ years in an active research role.
• Experience with Python -based analysis, simulation, or data pipelines.
• Strong grounding in experimental design and hypothesis testing.
• Familiarity with Git , IDEs , and notebook environments .

Preferred

• Experience in AI training , model evaluation, or benchmark/task authoring.
• High attention to detail and creativity in task design.

Originally posted on Himalayas