Mercor - STEM Expert, application via RippleMatch
Join to apply for the Mercor - STEM Expert, application via RippleMatch role at RippleMatch
Mercor - STEM Expert, application via RippleMatch
1 day ago Be among the first 25 applicants
Join to apply for the Mercor - STEM Expert, application via RippleMatch role at RippleMatch
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.
- 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)
- 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
- Type: Part-time (approximately 20 hours/week)
- Location: Remote and asynchronous
- Schedule: Flexible working hours
- Position: Contractor role via Mercor
- Rate: $90/hour, based on expertise and domain experience
- Payments: Weekly via Stripe Connect
Seniority level
Seniority level
Entry level
Employment type
Employment type
Part-time
Job function
Job function
Information TechnologyIndustries
Technology, Information and Internet
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