Chemistry Master’s AI Data Trainer — Remote

Alignerr Corp.

Dallas (TX)

Remote

USD 14,000 - 55,000

Part time

4 days ago
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Benefits offered by this job

Fully remote
Flexible schedule
Global collaboration

Job summary

Alignerr Corp. is seeking master's-qualified chemists to join as AI data trainers in a fully remote, hourly contract role.

You will design challenging chemistry problems, craft precise step-by-step solutions, and evaluate AI outputs to ensure accuracy and depth of reasoning. You’ll collaborate with researchers to refine benchmarks across undergraduate through Master’s-level topics and provide actionable feedback that helps AI models learn more effectively.

Qualifications

  • Currently pursuing or completed a Master’s in Chemistry, Chemical Engineering, Biochemistry, or related field.
  • Strong analytical and problem-solving skills across advanced chemistry domains.
  • Ability to clearly communicate complex scientific concepts in writing.
  • Detail-oriented with a systematic approach to evaluating quality.

Responsibilities

  • Design advanced chemistry problems to test AI reasoning across domains.
  • Develop clear, step-by-step solutions with scientific accuracy.
  • Evaluate AI outputs for correctness and depth of reasoning.
  • Collaborate with researchers to refine benchmarks across undergraduate to Master’s-level topics.
  • Provide actionable feedback shaping how AI models learn.

Skills

Analytical thinking
Problem solving
Scientific writing
Self-motivated

Education

Master's degree in Chemistry or related field

Job description

Alignerr Corp. is seeking master's-qualified chemists to join as AI data trainers in a fully remote, hourly contract role.

You will design challenging chemistry problems, craft precise step-by-step solutions, and evaluate AI outputs to ensure accuracy and depth of reasoning. You’ll collaborate with researchers to refine benchmarks across undergraduate through Master’s-level topics and provide actionable feedback that helps AI models learn more effectively.

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