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Chemistry AI Training Reviewer

Job in Brazil, Clay County, Indiana, 47834, USA
Listing for: OpenTrain AI, Inc.
Part Time, Apprenticeship/Internship position
Listed on 2026-10-12
Job specializations:
  • IT/Tech
    AI Evaluation, Data Annotation/ AI Labeling
Salary/Wage Range or Industry Benchmark: 30 - 70 USD Hourly USD 30.00 70.00 HOUR
Job Description & How to Apply Below
The work

As a Chemistry AI Training Reviewer, you will help improve how AI handles chemistry questions. You will work with text responses and judge whether answers are accurate, clear, relevant, and faithful to the prompt.

You will assess both the final answer and the reasoning behind it, then explain what is correct or needs improvement. Your feedback will help improve model accuracy, fluency, and contextual relevance.

  • Review AI-generated chemistry answers for accuracy, clarity, and adherence to the prompt.
  • Find errors in calculations, methods, chemical facts, and conceptual understanding.
  • Write clear chemical explanations and strong model solutions.
  • Rate and compare multiple AI responses for correctness and reasoning quality.
  • Fact-check chemical information and evaluate step-by-step problem solving.
What it pays and takes

This is a part-time contractor role for an expert in chemistry or a related field. Strong written English is required because the work involves explaining and evaluating technical answers.

  • Pay: $30-$70 USD per hour.
  • Time: 20+ hours per week.
  • Location:

    Open to contractors in Brazil, Germany, India, and the United States.
  • Language:
    English.
  • Education:

    MS or PhD in Chemistry or a related field.
  • Knowledge:
    Chemical reactions, stoichiometry, organic mechanisms, analytical methods, and physical or quantum chemistry.
  • Preferred background:
    Research, analytical writing, debate, programming, or chemistry.
  • Helpful experience:
    Data labeling, RLHF, or AI model evaluation.
  • Engagement:
    Contractor and part-time.
About AI training work

AI training is the human work behind better artificial intelligence. People review model answers, check facts, write examples, and rate responses so systems learn to be more accurate and useful; specialists are paid for applying their knowledge to this work.

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