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Chemistry Subject Matter Expert - AI Content Specialist

  • ["Canada"]
  • Remote
  • Posted Jun 26, 2026
  • 1 position

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Employment type
Contract, Temporary
Experience level
Entry · 0+ years
Minimum education
Other education

Job summary

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…

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 to evaluate AI performance and develop solutions with scientific reasoning. Collaborate with researchers to improve benchmarks and provide feedback for AI systems.

Requirements

Candidates should be pursuing or hold a Master's degree in a relevant field and possess strong problem-solving abilities in advanced chemistry. Clear communication of complex concepts and attention to detail are essential.

Benefits

• Fully remote and flexible schedule • High autonomy and variety • Global collaboration opportunities • Potential for contract renewals

Listed skills

  • Évaluation · Preferred
  • Problem solving · Preferred
  • Organization · Preferred
  • Training · Preferred
  • Collaboration · Preferred
  • Attention to detail · Preferred
  • Detail-oriented · Preferred
  • Clear Communication · Preferred
  • Communication · Preferred
  • Accuracy · Preferred
  • Flexible · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

  • Chemistry
  • Chemical Engineering
  • Biochemistry
  • Problem-Solving
  • Scientific Reasoning
  • Feedback
  • Data Annotation
  • Evaluation Systems
  • Scientific Benchmarking
  • Academic Research