Chemistry Master for AI Data Training (Remote, Flexible)

Alignerr; Sheffield (TX); Remote; USD 34,000 - 55,000; Part time

Job summary

Alignerr is seeking chemistry masters to train and improve AI models. You will design challenging chemistry problems and craft clear, rigorous solutions that demonstrate expert reasoning, across domains like chemical engineering, biochemistry, and physical chemistry.

Remote hourly contract, 10–40 hours/week. You will collaborate with researchers to build benchmarks from undergraduate to Master’s topics, provide constructive feedback, and help advance the frontier of scientific AI.

Qualifications

• Pursuing or holding a Master's degree in Chemistry or related field.
• Strong analytical and problem-solving abilities in advanced chemistry.
• Ability to communicate complex scientific concepts clearly in writing.
• Self-motivated, detail-oriented, and able to work independently.

Responsibilities

• Design advanced chemistry problems to challenge AI performance across domains like chemical engineering, biochemistry, and physical chemistry
• Develop clear, rigorous, step-by-step solutions that demonstrate expert-level reasoning
• Evaluate AI-generated outputs for scientific accuracy, logical consistency, and quality
• Collaborate with researchers to build and refine benchmarks spanning undergraduate through Master's-level chemistry topics
• Provide structured, constructive feedback that directly improves AI model performance

Skills

Analytical skills

Written communication

Attention to detail

Education

Master's degree in Chemistry

Master's degree in Chemical Engineering

Master's degree in Biochemistry

Master's or related field

Job description

Alignerr is seeking chemistry masters to train and improve AI models. You will design challenging chemistry problems and craft clear, rigorous solutions that demonstrate expert reasoning, across domains like chemical engineering, biochemistry, and physical chemistry.

Remote hourly contract, 10–40 hours/week. You will collaborate with researchers to build benchmarks from undergraduate to Master’s topics, provide constructive feedback, and help advance the frontier of scientific AI.