Chemistry Masters

Alignerr Corp.; Christchurch; Remote; GBP 28,000 - 55,000; Part time

Benefits offered by this job

Fully remote

Flexible schedule

Freelance contract

Job summary

Alignerr Corp. is seeking chemistry experts for an AI data trainer role. Work remotely on an hourly contract to design advanced chemistry problems, develop clear step-by-step solutions, and evaluate AI reasoning with rigorous scientific criteria.

Ideal candidates hold a Master's in Chemistry or related field, possess strong analytical writing skills, and thrive working independently with flexible, asynchronous hours. 10–40 hours/week available.

Qualifications

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

Responsibilities

• Design challenging, advanced chemistry problems to test AI performance across domains.
• Develop clear, step-by-step solutions with rigorous logic and reasoning.
• Evaluate AI-generated outputs for scientific accuracy and depth.
• Collaborate with researchers to refine evaluation benchmarks for undergraduate to Master’s level chemistry.
• Provide structured, actionable feedback to improve AI model performance.

Skills

Chemistry knowledge

Analytical writing

Independent work

Attention to detail

Education

Master's degree in Chemistry or related field

Job description

About The Role

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 — and we need people with deep chemistry knowledge to make these models smarter, more accurate, and genuinely useful in scientific domains.

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. At Alignerr, we partner with the world's leading AI research labs — and we need people with deep chemistry knowledge to make these models smarter, more accurate, and genuinely useful in scientific domains.

Your expertise in chemistry will directly shape how AI reasons through complex problems — from reaction mechanisms to biochemical pathways. No AI background needed. Just strong chemistry fundamentals and a sharp analytical mind.

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

What You'll Do

• Design challenging, advanced chemistry problems to rigorously test AI performance across domains including chemical engineering, biochemistry, and physical chemistry
• Develop clear, step-by-step solutions with rigorous logic and well-structured reasoning
• Evaluate AI-generated outputs for scientific accuracy, depth, and quality of reasoning
• Collaborate with researchers to refine evaluation benchmarks spanning undergraduate to Master's-level chemistry
• Provide structured, actionable feedback that directly improves AI model performance

Who You Are

• Pursuing or holding a Master's degree in Chemistry, Chemical Engineering, Biochemistry, or a closely related field
• Strong problem-solving skills across advanced chemistry domains
• Able to communicate complex scientific concepts clearly and precisely in writing
• Detail-oriented with a systematic, analytical approach
• 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 workflows
• Familiarity with how large language models work
• Background spanning multiple chemistry subfields

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
• Direct engagement with industry-leading large language models
• Potential for ongoing work and contract renewal