Create expert evaluation examples for testing how AI models judge chemical process design and safety. You will use practical chemical engineering knowledge to assess whether proposed processes are technically sound, safe, and feasible at scale.
- Write realistic process scenarios, from mass balances through safety reviews.
- Prepare reference answers that explain the process and safety reasoning behind each decision.
- Grade model responses for technical accuracy and process safety.
- Identify designs that seem plausible but would be unsafe or infeasible at scale.
- Document your reasoning clearly so technical decisions can be reviewed and used in evaluation data.
What it pays and takes
- Pay: $100 to $130 per hour, paid weekly.
- Work: Ongoing independent-contractor projects; fully remote and asynchronous, with no fixed hours and a minimum commitment of 10 hours per week.
- Location: Remote; open to candidates in eligible countries.
- Education and experience: A degree in chemical engineering or a closely related field, plus at least two years of process, plant, or product engineering experience.
- Expertise: Demonstrated depth in process design, process safety, or scale-up.
- Communication: Clear written English and the ability to explain technical process decisions.
- Helpful background: Professional engineering licensure or process safety certification; experience with Aspen Plus, HYSYS, or similar process simulation tools; or regulated-industry experience in pharmaceutical or petrochemical work.
How it works
Apply on OpenTrain with your resume, then complete the application on the hiring site.
About AI training work
AI training work uses human-created examples and reviews to help build and evaluate artificial intelligence. OpenTrain helps people find and apply for AI training and data-labeling work; this project relies on chemical engineering expertise to assess whether AI responses are accurate and safe.