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Listed salary
USD 40+ / hourlySalary published on this job listing.
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- Extracted from this visible public job listing
Role summary by JobGrid
Chemistry Expert - AI Trainer (Ecuador) at anyone-ai: Remote, Ecuador; USD 40+ / hourly. This listing is part of JobGrid's Remote AI jobs from public company career pages. JobGrid adds normalized role facts, source context, and a path to the employer application page so candidates can compare the listing before applying.
- Location and workplace: Remote, Ecuador
- Employer salary shown on the listing: USD 40+ / hourly
- Source freshness: checked by JobGrid on 2026-05-29.
- Application path: candidates continue to the employer application page with non-personal referral tags.
Location: Remote
Type: Contract / Part-time
Commitment: 20 hours per week
Compensation: Up to 40 USD / hr
Project duration: 2 months, with potential extension
Availability: Immediate start
About the role
We create high-quality STEM training data for frontier AI models that is directly used in training and evaluation workflows at leading AI labs.
We are looking for experts in Chemistry to design advanced, deterministic problems with exactly one verifiable correct answer. These problems should challenge modern AI systems with deep reasoning, domain knowledge, and computational rigor.
Projects may include computational chemistry, physical chemistry, analytical chemistry, chemical engineering-adjacent workflows, and chemistry tasks requiring specialized software tools.
What you’ll do
Design difficult chemistry problems that reflect real scientific workflows
Create deterministic tasks with one correct answer and full verified solutions
Develop reasoning-intensive and computationally grounded problems
Use Python and, where appropriate, domain-specific chemistry tools or simulation packages
Ensure all tasks are reproducible, technically precise, and clearly documented
Write concise and rigorous technical explanations in English
What we’re looking for
Bachelor's, Master’s or PhD in Chemistry or a related field
Research or industry experience involving computational or quantitative chemistry workflows
Strong Python skills; familiarity with scientific libraries
Strong understanding of modeling, numerical approaches, and chemical reasoning
Ability to design original, difficult problems that go beyond textbook recall
Excellent attention to detail and clear technical writing
Nice to have
Experience with computational chemistry, cheminformatics, spectroscopy analysis, molecular modeling, or specialized chemistry software
Experience with professional chemistry workflows involving simulation or data analysis tools
Experience creating technical evaluation content