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.

• Time: 20+ hours per week. The work is part-time and flexible, with no set schedule or minimum hour requirement.
• 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.