Chemical Engineering Quality Assurance Lead

The Work

You will review AI-generated chemical engineering content and trainer or QA submissions. The work covers technical explanations, process calculations, mass and energy balances, reaction engineering, separation processes, process control, diagrams, and problem-solving workflows.

You will also help keep remote contributors aligned with project standards by giving clear written feedback, sharing guideline updates, supporting onboarding, tracking quality trends, and improving review workflows. There is no immediate project; this role supports future opportunities through the expert network.

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

What It Pays and Takes

This is a remote, part-time contractor role focused on candidates in the United States. Strong English communication is required so you can provide clear technical feedback.

• Pay: Up to $105 per hour.
• Time: 20 or more hours per week.
• Location: Remote, with a United States hiring focus.
• Work type: Contractor and part-time.
• Education: Degree in chemical engineering or a closely related engineering field.
• Experience: At least 3 years in chemical engineering, process work, safety, technical review, or teaching.
• Expertise: Mass and energy balances, thermodynamics, fluid mechanics, heat and mass transfer, reaction engineering, separation processes, process control, transport phenomena, and process design.
• Review skills: Experience evaluating technical work against detailed rubrics.
• Tools: Familiarity with remote collaboration tools; experience with Aspen Plus, Aspen HYSYS, MATLAB, Python, CHEMCAD, COMSOL, PFDs, P&IDs, Excel modeling, or process safety documentation is helpful.
• Helpful background: Leading or supporting remote teams of trainers, reviewers, technical writers, or QAs.
• Helpful background: AI training, data annotation, large language models, prompt or response evaluation, technical content QA, or rubric-based LLM evaluation.

How It Works

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

About AI Training Work

AI training is the human work behind systems that generate answers and solve problems. Experts review examples, check reasoning, and give feedback so models learn to produce more accurate and safer results.