Chemistry Masters
Job Description
Chemistry Masters – AI Data Trainer
About The Role
We're looking for chemistry experts to help train and improve the next generation of AI models. Your deep subject-matter knowledge will directly shape how AI understands, reasons through, and communicates complex chemistry — from undergraduate fundamentals to advanced graduate-level topics.
This is a fully remote, flexible contract role. No prior AI experience is required — just a strong chemistry background and the ability to think and communicate clearly.
About The Role
We're looking for chemistry experts to help train and improve the next generation of AI models. Your deep subject-matter knowledge will directly shape how AI understands, reasons through, and communicates complex chemistry — from undergraduate fundamentals to advanced graduate-level topics.
This is a fully remote, flexible contract role. No prior AI experience is required — just a strong chemistry background and the ability to think and communicate clearly.
- Organization: Alignerr
- Type: Hourly Contract
- Location: Remote
- Commitment: 10–40 hours/week
- Design challenging, advanced chemistry problems that rigorously test AI performance across domains such as chemical engineering, biochemistry, organic chemistry, and more
- Develop clear, detailed, step-by-step solutions with sound scientific reasoning
- Evaluate AI-generated responses for accuracy, depth, and quality of reasoning
- Collaborate with researchers to refine benchmarks and evaluation criteria spanning undergraduate through Master's-level chemistry
- Provide structured written feedback that helps improve AI outputs over time
- 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 commitment to accuracy and rigor
- Self-motivated and comfortable working independently and asynchronously
- No prior AI or data annotation experience required
- Experience with data annotation, data quality assessment, or evaluation systems
- Familiarity with large language models or AI research workflows
- Background spanning multiple chemistry subdisciplines
- Work on cutting-edge AI projects alongside top AI research labs
- Fully remote and flexible — set your own schedule and hours
- Freelance perks: autonomy, variety, and the ability to work from anywhere
- Direct, meaningful impact on how AI handles scientific reasoning
- Potential for ongoing work and contract renewal
More Info
Key Skills
Evaluation Systems
AI Research Workflows
Data Quality Assessment
Data Annotation
Large Language Models
About Company
Skills:
Python, VASP, gaussian, Chemistry expertise