Chemical Engineering Specialist - Freelance AI Trainer Project
Agency - United States of America
Posted Jun 7, 2026
Benefits
- Parental leave
- Not verified
- Non-birth-parent leave
- Not verified
- Family-building benefits
-
- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
- Not verified
- Relocation assistance
- Not verified
- Childcare support
- Not verified
- Learning budget
- Not verified
- Verification
- Not verified
- Salary
- $8-$65/hr From the posting source checked Jun 20, 2026
- 401(k) match
- Not verified
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Market context
- U.S. role benchmark (BLS OEWS)
- $116,543 U.S. median for this role
- Projected growth (BLS Employment Projections)
- +9.8% - Much faster than average
35% below the BLS role benchmark for software engineering aggregate.
Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.
Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.
Role
Schedule
- Shift type
- Not verified
- Weekend work
- Not verified
Company
- Company stage
- Growth-stage From the posting source checked Jun 20, 2026
Application
- Cover letter
- Not verified
- Assessment
- Not verified
- Deadline
- Not stated
Where they hire
State eligibility is not yet verified.
About this role
Chemical Engineering Specialist - Freelance AI Trainer Project United States of America Are you a chemical engineering expert eager to shape the future of AI? Large‑scale language models are evolving from clever chatbots into powerful engines of scientific discovery. With high‑quality training data, tomorrow's AI can democratize world‑class education, keep pace with cutting‑edge research, and streamline lab and industrial processes for engineers everywhere. That training data begins with you-we need your expertise to help power the next generation of AI. We're looking for chemical engineering specialists who live and breathe thermodynamics, reaction engineering, process design, transport phenomena, chemical kinetics, catalysis, materials science, and biochemical engineering. You'll challenge advanced language models on topics like reactor optimization, heat and mass transfer, fluid mechanics, phase equilibria, process safety, separation processes, polymer science, and industrial process control-documenting every failure mode so we can harden model reasoning. On a typical day, you will converse with the model on real-world engineering scenarios and theoretical chemical engineering questions, verify factual accuracy and logical soundness, capture reproducible error traces, and suggest improvements to our prompt engineering and evaluation metrics. A PhD in chemical engineering or a closely related engineering field is ideal; peer-reviewed publications, process simulations, lab-scale or pilot-plant experience, or industry work with tools like Aspen Plus or COMSOL signal fit. Clear, metacognitive communication-“showing your work”-is essential. Ready to turn your chemical engineering expertise into the knowledge base for tomorrow's AI? Apply today and start teaching the model that will teach the world. We offer a pay
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