Chemistry Masters

Alignerr Corp.; City of Edinburgh; Remote; GBP 21,000 - 41,000; Part time

Benefits offered by this job

Fully remote

Flexible schedule

Contract extension potential

Job summary

Alignerr is seeking a Chemistry Masters – AI Data Trainer to design advanced chemistry problems, craft rigorous step-by-step solutions, and evaluate AI outputs. This remote hourly contract role offers flexible scheduling and collaboration with research teams across disciplines.

You’ll contribute to benchmarks from undergraduate to Masters-level chemistry topics and provide written feedback to improve AI model reasoning, with strong emphasis on clarity and precision.

Qualifications

• Pursuing or completed a Master's degree in Chemistry, Chemical Engineering, Biochemistry, or a closely related field.
• Strong scientific reasoning and problem-solving across advanced chemistry domains.
• Ability to write clearly and precisely in writing.
• Detail-oriented with a systematic approach to evaluation.
• Able to work independently and asynchronously.
• No prior AI experience required.

Responsibilities

• Design advanced chemistry problems to test AI reasoning across domains such as chemical engineering, biochemistry, thermodynamics, and organic chemistry.
• Develop detailed, step-by-step solutions with clear and rigorous scientific logic.
• Evaluate AI-generated outputs for accuracy, depth, and quality of reasoning.
• Collaborate with researchers to develop benchmarks spanning undergraduate to Master's-level chemistry topics.
• Provide structured written feedback that helps researchers identify gaps and improve model performance.

Skills

Chemical reasoning

Problem solving

Written communication

Detail oriented

Independent work

Education

Master's degree in Chemistry

Master's degree in Chemical Engineering

Master's degree in Biochemistry

Related field

Job description

Chemistry Masters – AI Data Trainer

We’re looking for chemistry experts to help train and improve the next generation of AI models. At Alignerr, we partner with the world’s leading AI research labs to build smarter, more scientifically rigorous AI systems — and we need people with deep chemistry knowledge to make it happen.

About The Role

If you hold or are pursuing a Master's degree in Chemistry, Chemical Engineering, Biochemistry, or a related field, this is your chance to directly influence how AI reasons through complex scientific problems — all from wherever you work best.

• Organization: Alignerr
• Type: Hourly Contract
• Location: Remote
• Commitment: 10–40 hours/week

What You’ll Do

• Design advanced chemistry problems to rigorously test AI reasoning across domains such as chemical engineering, biochemistry, thermodynamics, and organic chemistry
• Develop detailed, step-by-step solutions with clear and rigorous scientific logic
• Evaluate AI-generated outputs for accuracy, depth, and quality of reasoning
• Collaborate with researchers to develop and refine benchmarks spanning undergraduate to Master's-level chemistry topics
• Provide structured written feedback that helps researchers identify gaps and improve model performance

Who You Are

• Currently pursuing or have completed a Master's degree in Chemistry, Chemical Engineering, Biochemistry, or a closely related field
• Strong scientific reasoning and problem‑solving skills across advanced chemistry domains
• Able to communicate complex concepts clearly and precisely in writing
• Detail‑oriented with a systematic approach to evaluating quality
• Self‑motivated and comfortable working independently and asynchronously
• No prior AI experience required

Nice to Have

• Experience with data annotation, data quality review, or evaluation systems
• Familiarity with large language models or AI research workflows
• Background spanning multiple chemistry sub‑disciplines

Why Join Us

• Work on cutting‑edge AI projects with top research labs and directly shape how AI understands science
• Fully remote and flexible — work on your own schedule, from anywhere
• Freelance perks: high autonomy, variety of tasks, and global collaboration
• Meaningful work that advances the quality and reliability of AI in scientific domains
• Potential for ongoing work and contract extension