Chemistry Subject Matter Expert - AI Content Specialist
Summary: The Chemistry Subject Matter Expert will evaluate and enhance AI systems focused on scientific content, specifically in chemistry. This role involves designing complex chemistry problems, developing solutions, and assessing AI outputs for accuracy and reasoning. The position is fully remote and offers flexible hours, allowing for independent work. Candidates will contribute to significant advancements in AI's understanding of chemistry through collaboration with leading research labs.
Key Responsibilities:
- Design advanced chemistry problems to rigorously test AI reasoning and performance across various chemistry domains.
- Develop clear, step-by-step solutions that demonstrate structured, logical thinking.
- Evaluate AI-generated outputs for scientific accuracy, depth of reasoning, and quality.
- Collaborate with researchers to refine and improve benchmarks spanning undergraduate through Masters-level chemistry topics.
- Work independently and asynchronously on your own schedule.
Key Skills:
- 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 the ability to provide structured, actionable feedback.
- Self-motivated and reliable when working independently.
- No prior AI experience required.
- Experience with data annotation, data quality assessment, or evaluation systems is a plus.
- Familiarity with AI or machine learning workflows is a plus.
- Background spanning multiple chemistry subdisciplines is a plus.
Salary (Rate): £28.00 hourly
City: Cambridge
Country: United Kingdom
Working Arrangements: remote
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
Chemistry Subject Matter Expert (AI Training)
About The Role
We're looking for chemistry experts to help evaluate and improve AI systems trained on scientific content. Your deep subject knowledge will directly shape how AI understands and reasons through complex chemistry problems — making a real impact on the next generation of large language models. Work with Alignerr, a trusted partner to the world's leading AI research labs, and contribute to projects that push the boundaries of what AI can do in science.
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 and performance across domains such as chemical engineering, biochemistry, and physical chemistry
- Develop clear, step-by-step solutions that demonstrate structured, logical thinking
- Evaluate AI-generated outputs for scientific accuracy, depth of reasoning, and quality
- Collaborate with researchers to refine and improve benchmarks spanning undergraduate through Masters-level chemistry topics
- Work independently and asynchronously on your own schedule
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 the ability to provide structured, actionable feedback
- Self-motivated and reliable when working independently
- No prior AI experience required
Nice to Have
- Experience with data annotation, data quality assessment, or evaluation systems
- Familiarity with AI or machine learning workflows
- Background spanning multiple chemistry subdisciplines
Why Join Us
- Work on cutting-edge AI projects with top-tier research labs
- Fully remote and flexible — work on your own schedule
- Freelance perks: autonomy, variety, and global collaboration
- Contribute to meaningful work that advances AI scientific reasoning
- Potential for ongoing work and contract extension
- Direct engagement with industry-leading large language models
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