Remote AI Training Evaluator for STEM Professors

OpenTrain AI, Inc.

United States

Remote

USD 170,000 - 243,000

Part time

29 hours ago
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Benefits offered by this job

Remote work
Flexible hours
Competitive pay

Job summary

OpenTrain AI, Inc. is seeking experts in Mathematics, Chemistry, Biology, Physics, or Engineering to contribute to AI training data and evaluation.

This remote, asynchronous contractor role pays up to $150 per hour and requires 20+ hours per week, with work-year-round opportunities in the United States. You will assess AI responses for accuracy and clarity, craft expert prompts, and establish evaluation criteria based on your academic expertise.

Qualifications

  • Requires current or emeritus professor status in Mathematics, Chemistry, Biology, Physics, or Engineering.
  • More than five peer‑reviewed publications; at least one published in 2025 or 2026.
  • H-index > 20 and > 2,000 total citations.
  • Eligibility: valid employment authorization.
  • Remote, flexible, project-based contract work for US-based candidates.
  • Strong English and written communication; ability to explain complex concepts clearly.

Responsibilities

  • Write prompts grounded in your discipline.
  • Evaluate AI-generated responses for accuracy and relevance.
  • Research topics related to your expertise with AI assistance.
  • Create clear task instructions and evaluation criteria.
  • Produce training data reflecting rigorous academic standards.

Skills

Fluent English
Strong written communication
Ability to explain complex ideas

Education

Professor in Mathematics/Chemistry/Biology/Physics/Engineering

Job description

OpenTrain AI, Inc. is seeking experts in Mathematics, Chemistry, Biology, Physics, or Engineering to contribute to AI training data and evaluation.

This remote, asynchronous contractor role pays up to $150 per hour and requires 20+ hours per week, with work-year-round opportunities in the United States. You will assess AI responses for accuracy and clarity, craft expert prompts, and establish evaluation criteria based on your academic expertise.

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