Chemistry Subject Matter Expert - AI Content Specialist

Alignerr Corp.

Greater London

Remote

GBP 55,000 - 83,000

Part time

3 hours ago
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Benefits offered by this job

Autonomy
Flexible schedule
Meaningful scientific contribution

Job summary

Alignerr Corp. is seeking a Chemistry Subject Matter Expert (AI Training) to design challenging chemistry problems and develop clear, rigorous solutions for improving AI models.

This remote, hourly contract role suits candidates pursuing or who have completed a Master’s in Chemistry or related fields. You will evaluate AI outputs and collaborate with researchers across undergraduate to Master’s topics, providing precise feedback to refine benchmarks and model performance.

Qualifications

  • Master's degree or higher in Chemistry, Chemical Engineering, Biochemistry, or a closely related field.
  • Strong analytical and problem-solving skills across advanced chemistry domains.
  • Ability to communicate complex scientific concepts clearly in writing.
  • Detail-oriented with a systematic approach to evaluating quality and accuracy.
  • Self-motivated and comfortable working independently and asynchronously.

Responsibilities

  • Design rigorous, advanced chemistry problems to test AI performance across domains.
  • Develop clear, step-by-step solutions with sound scientific reasoning.
  • Evaluate AI-generated outputs for accuracy and depth of reasoning.
  • Collaborate with researchers to refine benchmarks from undergraduate to Master's level.
  • Provide structured, high-quality feedback to improve AI model performance.

Skills

Analytical thinking
Problem solving
Written communication
Attention to detail
Self-motivation
Independent work

Education

Master's degree in Chemistry
Master's degree in Chemical Engineering
Master's degree in Biochemistry

Tools

AI research tools
Data annotation tools

Job description

Chemistry Subject Matter Expert (AI Training)

We're looking for chemistry experts to help train and improve the next generation of AI models. Your deep scientific knowledge will directly shape how AI reasons through complex chemistry problems — from undergraduate fundamentals to advanced graduate-level concepts.

This is a unique opportunity to contribute to cutting-edge AI research without leaving your home. Whether you're currently pursuing your Master's or have already completed it, your expertise is exactly what's needed.

About The Role
  • Organization: Alignerr
  • Type: Hourly Contract
  • Location: Remote
  • Commitment: 10–40 hours/week
What You'll Do
  • Design rigorous, advanced chemistry problems to test and challenge AI performance across domains like chemical engineering, biochemistry, and physical chemistry
  • Develop clear, step-by-step solutions that demonstrate sound scientific reasoning
  • Evaluate AI-generated outputs for accuracy, logical consistency, and depth of reasoning
  • Collaborate with researchers to refine and improve benchmarks spanning undergraduate to Master's-level chemistry topics
  • Provide structured, high-quality feedback that directly improves AI 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 analytical and problem-solving skills across advanced chemistry domains
  • Able to communicate complex scientific concepts clearly and precisely in writing
  • Detail-oriented with a systematic approach to evaluating quality and accuracy
  • Self-motivated and comfortable working independently and asynchronously
  • No prior AI experience required
Nice to Have
  • Experience with data annotation, data quality assessment, or evaluation workflows
  • Familiarity with large language models or AI research tools
  • Background spanning multiple chemistry sub-disciplines
Why Join Us
  • Work on impactful AI projects in collaboration with world-leading research labs
  • Fully remote and flexible — work on your schedule, from anywhere
  • Freelance perks: autonomy, variety, and the satisfaction of meaningful scientific contribution
  • Direct engagement with state-of-the-art large language models
  • Potential for ongoing work and contract renewal
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