Mercor - STEM Expert, via

Position: Mercor - STEM Expert, application via RippleMatch
Mercor - STEM Expert, application via Ripple Match

Join to apply for the Mercor - STEM Expert, application via Ripple Match role at Ripple Match

This role is with Mercor. Mercor uses Ripple Match to find top talent.

About the Role

Mercor is seeking a highly skilled Research and STEM Expert to join our AI evaluation and technical quality assurance team. In this role, you will analyze, evaluate, and fact‑check AI-generated outputs across scientific, mathematical, and technical domains — ensuring the highest standards of factual accuracy, logical reasoning, and clarity.

You will help improve the reasoning and reliability of cutting‑edge Large Language Models (LLMs) by providing structured feedback and expert judgment across diverse STEM fields. This position is ideal for individuals with strong academic training, analytical precision, and a passion for advancing AI alignment in research and science.

Key Responsibilities

• Evaluate and critique AI-generated responses in STEM-related subjects (e.g., computer science, mathematics, physics, biology, and engineering).

• Conduct fact-checking and research validation using reputable public and academic sources.

• Assess scientific explanations, calculations, and reasoning for correctness and clarity.

• Provide structured written feedback to improve the model's understanding and communication of technical topics.

• Collaborate with the AI quality team to improve annotation guidelines and maintain consistency across evaluations.

Minimum Requirements

• BS, MS, or PhD in a STEM domain (e.g., Computer Science, Mathematics, Biology, Physics, Engineering, etc.)

• English expert with excellent comprehension and communication skills

• Excellent at high school–level math

• Expert at fact-checking information across multiple domains (medical, legal, financial, technical, etc.) using trusted public sources

• Excellent writing skills and attention to detail

• Significant experience using Large Language Models (LLMs)

Preferred Qualifications

• Prior experience with RLHF annotation or AI model evaluation

• Research or professional experience involving data analysis, technical writing, or analytical reasoning

• Familiarity with academic research standards and citation practices

Role Details

• Type:
Part-time (approximately 20 hours/week)

•

Location:

Remote and asynchronous

•

Schedule:

Flexible working hours

Compensation

• Position:
Contractor role via Mercor

• Rate: $90/hour, based on expertise and domain experience

• Payments:
Weekly via Stripe Connect

Seniority level

• Entry level

Employment type

• Part-time

Job function

• Information Technology

Industries

• Technology, Information and Internet

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