Mechanical Engineering Quality Assurance Lead

The work

You will review AI-generated mechanical engineering content and trainer quality assurance work. Your reviews will help identify technical errors, unclear reasoning, unsafe recommendations, and problems with project guidelines.

You will also give written feedback, share quality expectations, support onboarding, and help maintain consistent standards across remote technical teams.

• Review explanations, calculations, design recommendations, diagrams, and problem-solving steps.
• Check trainer and QA work against project guidelines and detailed rubrics.
• Assess technical accuracy, reasoning, standards awareness, formatting, unit consistency, and instruction-following.
• Identify flawed calculations, missing units, incomplete explanations, and unsafe or misleading engineering advice.
• Communicate workflow updates, review standards, and quality expectations to trainers and QAs.
• Support onboarding and maintain project documentation and quality processes.

What it pays and takes

This is a part-time contractor role for people with professional mechanical engineering experience and strong technical communication skills.

• Pay: $75 per hour.
• Time: 20+ hours per week.
• Location: United States.
• Language: Strong written and spoken English.
• Education: Degree in mechanical engineering, aerospace engineering, mechatronics, manufacturing engineering, or a closely related field.
• Experience: At least 3 years in mechanical engineering, product design, manufacturing, research and development, systems engineering, CAD, simulation, technical review, or engineering education.
• Knowledge: Mechanics, thermodynamics, fluid mechanics, heat transfer, machine design, materials, manufacturing processes, dynamics, statics, and engineering drawing interpretation.
• Preferred tools: CAD, FEA or CAE, MATLAB, Python, SolidWorks, AutoCAD, ANSYS, Fusion 360, or similar tools.
• Helpful experience: AI training, data annotation, prompt or response evaluation, technical content quality assurance, rubric-based language model evaluation, or remote team support.

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, solve problems, and make recommendations. Experienced engineers review examples and feedback so these systems become more accurate, clear, and safe.