Engineering Lead AI Work Evaluator

You will use your experience leading engineering projects to assess AI-generated work. Your feedback will help improve how AI systems handle engineering planning, analysis, and delivery.

• Write project briefs that define scope, workstreams, inputs, and expected deliverables for engineering projects lasting weeks or months.
• Create rubrics that assess the complete set of project deliverables.
• Review multi-step AI-generated engineering work for technical accuracy, completeness, and practical alignment.
• Explain evaluation decisions in structured written feedback that can improve AI model performance.
• Complete project tasks remotely and work independently at your own pace.

• Pay: Up to $195 per hour.
• Time: 20+ hours per week. The work is part-time and flexible, with no set schedule or minimum hour requirement.
• Location: Open to candidates in the United States.
• Language: Professional fluency in English and strong written communication are required.
• Experience: At least 10 years of professional engineering experience in industry.
• Hands-on background: At least 5 years of engineering work involving design, analysis, testing, building, or commissioning.
• Leadership: At least 3 years leading engineering work as a team lead, manager, director, project lead, or program lead.
• Engineering background: Experience in electrical, mechanical, civil, structural, industrial, chemical, controls, aerospace, biomedical, piping, MEP, or technically focused construction engineering.
• You must be able to explain complex engineering concepts clearly, pay close attention to detail, and work independently in a remote, asynchronous setting.
• Helpful experience includes specifications, test plans, standard operating procedures, white papers, regulatory filings, bills of materials, verification and validation, commissioning, quality assurance, vendor coordination, regulated industries, AI training, or prompt writing.

Apply on OpenTrain with your resume, then complete the application on the hiring site. Before applying, review the duties and qualifications to make sure they fit your experience.

AI training is the human work behind artificial intelligence, including reviewing model outputs and writing clear feedback. People with deep engineering experience are needed when AI-generated work must be judged against real professional standards.