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Mercor - STEM Expert, application via RippleMatch

Remote (San Antonio, TX) Part Time

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 analysistechnical 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