Chemistry Subject Matter Expert - AI Content Specialist
- Canada
- Remote
- Posted Oct 7, 2026
- 1 position
- Employment type
- Contract
- Experience level
- Entry, Junior · 0+ years
- Minimum education
- Master’s degree
- Posting language
- English
- Working hours
- 40 hours per week
- Seniority
- Entry level
This job has expired
This position at Alignerr is no longer accepting applications. The original posting remains below for reference.
Expired Oct 8, 2026
Original job posting
Design advanced chemistry problems and develop clear, step-by-step solutions to test AI performance across chemistry domains. Evaluate AI-generated responses, provide structured feedback, and collaborate with researchers to improve scientific benchmarks.
Job details
Chemistry Subject Matter Expert (AI Training) About The Role We're looking for chemistry experts to help train and evaluate the next generation of AI models. At Alignerr, we partner with the world's leading AI research labs — and we need scientists like you to ensure these models reason accurately about chemistry. Your knowledge of advanced chemistry will directly shape how AI understands and solves complex scientific problems. No AI experience required — your domain expertise is what matters. 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 such as chemical engineering, biochemistry, and organic chemistry Develop clear, step-by-step solutions with well-structured scientific reasoning Evaluate AI-generated outputs for accuracy, logical consistency, and depth of understanding Collaborate with researchers to refine and improve benchmarks spanning undergraduate through Master's-level chemistry topics Provide structured written feedback that helps AI systems reason better about science Who You Are Currently pursuing or holding a Master's degree (or higher) in Chemistry, Chemical Engineering, Biochemistry, or a closely related field Strong problem-solving ability across advanced chemistry domains Able to explain complex scientific concepts clearly and precisely in writing Detail-oriented and comfortable working independently and asynchronously No prior AI or data annotation experience required Nice to Have Experience with data annotation, data quality review, or evaluation systems Familiarity with scientific benchmarking or academic research workflows 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: high autonomy, variety, and global collaboration Directly influence how AI models understand and communicate science Potential for ongoing work and contract renewals
What you’ll do
Design advanced chemistry problems and develop clear, step-by-step solutions to test AI performance across chemistry domains. Evaluate AI-generated responses, provide structured feedback, and collaborate with researchers to improve scientific benchmarks.
Requirements
Applicants must be pursuing or hold a master's degree or higher in Chemistry, Chemical Engineering, Biochemistry, or a closely related field. They should have strong problem-solving skills across advanced chemistry topics, communicate scientific concepts clearly in writing, and be detail-oriented and comfortable working independently.
Benefits
- Flexible Schedule
- Remote Work
- High Autonomy
- Global Collaboration
- Potential for Ongoing Work and Contract Renewals
Listed skills
- written communication · Preferred
- Problem solving · Preferred
Other relevant skills
Identified from the job description. Confirm important requirements above.
- Advanced Chemistry
- Chemical Engineering
- Biochemistry
- Organic Chemistry
- Problem-Solving
- Scientific Reasoning
- Written Communication
- AI Output Evaluation
- Accuracy Assessment
- Logical Consistency
- Benchmark Development
- Data Annotation
- Data Quality Review
- Independent Work
- Asynchronous Collaboration
Job areas
- Science & Research
- Education
- Technology
- Engineering
- Data & Analytics
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