Mercor - STEM Expert, application via RippleMatch at RippleMatch Opportunities
Austin, Texas, United States -
Full Time


Start Date

Immediate

Expiry Date

16 Feb, 26

Salary

90.0

Posted On

18 Nov, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Research, STEM Expertise, Fact-Checking, Analytical Skills, Technical Writing, Large Language Models, Mathematics, Collaboration, Attention to Detail, Communication Skills

Industry

technology;Information and Internet

Description
This role is with Mercor. Mercor uses RippleMatch 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 Experts 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
Responsibilities
Evaluate and critique AI-generated responses in STEM-related subjects and conduct fact-checking and research validation. Provide structured written feedback to improve the model’s understanding and communication of technical topics.
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