STEM Professor AI Training Evaluator

Remote, asynchronous AI training work for current and emeritus STEM professors in the United States. Create expert prompts and evaluate scientific AI responses for up to $150 per hour, with 20+ hours available weekly.

Remote Hourly · $150/hr

$150/hr

Compensation

Contract, part-time

Engagement

Remote

Location

Posted

Open to applicants in

United States

You will create expert-level training data and review large language model responses in your scientific or technical field. The work covers Mathematics, Chemistry, Biology, Physics, and Engineering and is project-based, with projects available throughout the year as they open.

You will use your research background to judge whether AI responses are accurate, relevant, and conceptually sound. You will also turn complex knowledge into clear instructions and evaluation standards.

• Write prompts grounded in your scientific or technical discipline.
• Evaluate AI-generated responses for accuracy, relevance, and conceptual understanding.
• Research topics related to your expertise with assistance from AI.
• Create clear task instructions and evaluation criteria.
• Produce training data that reflects rigorous academic standards.

This is fully remote, asynchronous contractor work with flexible hours. The role is open to candidates in the United States and requires fluent English, strong written communication, and the ability to explain complex ideas clearly.

• Pay:
  Up to $150 per hour.
• Availability: 20 or more hours per week.
• Schedule:
  
  Flexible and asynchronous.
• Work status:
  Project-based contractor work available year-round as projects become available.
• Location:
  
  Open to candidates in the United States.
• Eligibility:
  Valid employment authorization is required.
• Academic background:
  Current or emeritus assistant, associate, or full professor in Mathematics, Chemistry, Biology, Physics, or Engineering.
• Research record:
  More than five peer-reviewed publications, including at least one published in 2025 or 2026.
• Impact record:
  An H-index greater than 20 and more than 2,000 total citations.
• Communication:
  Strong written communication and the ability to explain complex concepts clearly.
• AI evaluation:
  Confidence judging whether AI systems understand and explain important concepts in your field.

AI training is the human work behind systems that learn from examples, including writing prompts and reviewing model responses. Open Train helps people find these projects, build a profile, and start applications, while experienced contributors bring the subject knowledge needed to assess specialized AI output.