Chemical Engineer Quality Assurance Lead (QAL)

You will lead quality reviews for AI training projects focused on chemical engineering. You will assess technical explanations, process calculations, mass and energy balances, reaction engineering, separation processes, process control, diagrams, and problem-solving workflows.

The role combines detailed technical review with contributor support. You will provide written feedback, track recurring quality issues, communicate guideline updates, and help keep remote trainers and quality reviewers aligned.

• Review chemical engineering content and trainer or quality assurance submissions for correctness and consistency.
• Evaluate calculations, assumptions, units, and process logic against detailed project rubrics.
• Flag unsafe, misleading, or overconfident engineering recommendations.
• Share standards, guideline updates, and workflow changes with trainers and quality reviewers.
• Maintain style guides, FAQs, trackers, examples, honeypots, and onboarding materials.
• Support contributor onboarding and training calls.
• Identify recurring issues and propose improvements to quality workflows.

This is an expert-level, part-time contractor role focused on chemical engineering quality assurance. There is no immediate project, but future opportunities may be available through the expert network.

• Pay: Up to $105 per hour.
• Time: 20 or more hours per week.
• Location: Remote, with a hiring focus on candidates in the United States.
• Language: Strong English communication skills for clear technical feedback.
• Education: A degree in chemical engineering or a closely related engineering discipline.
• Experience: At least 3 years in relevant chemical engineering, process, safety, review, or teaching work.
• Knowledge of mass and energy balances, thermodynamics, fluid mechanics, heat transfer, mass transfer, reaction engineering, separation processes, process control, transport phenomena, and process design.
• Experience evaluating technical work against detailed rubrics.
• Familiarity with remote collaboration tools.
• Preferred experience with Aspen Plus, Aspen HYSYS, MATLAB, Python, CHEMCAD, COMSOL, PFDs, P&IDs, Excel modeling, or process safety documentation.
• Helpful background includes leading or supporting remote teams, technical writing, AI training, data annotation, large language model evaluation, technical content quality assurance, or rubric-based evaluation.

Apply on OpenTrain with your resume, then complete the application on the hiring site.

AI training is the human work used to improve artificial intelligence, including reviewing model responses and checking technical content. People with strong subject knowledge help models produce safer, clearer, and more accurate results.