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Strategic Project Lead - Physical Engineering

Project Management Full-time Permanent United States

Job details

Not specified Salary
United States Eligibility
Lead Experience
Full-time Employment

About this role

Role overview Lead technical projects that turn real-world physical engineering work into structured tasks, expert-reviewed data, and evaluations for AI training and assessment. The role calls for hands-on expertise in at least one engineering discipline and collaboration across customer, research, operations, and specialist teams. Leadership comes through technical judgment and influence rather than direct people management.

Responsibilities - Convert customer needs into realistic engineering tasks, data specifications, and measurable acceptance criteria. - Review source materials, assess feasibility, and create representative samples for project planning. - Develop multi-step tasks and reference solutions based on real engineering models, drawings, calculations, and specifications. - Lead pilots from sample creation and expert onboarding through quality review and customer acceptance. - Partner with operations to move projects into production while maintaining technical quality. - Build specialist contributor networks and work with research and tooling teams on verification methods and consistent evaluations.

Requirements - Bachelor’s degree or higher in mechanical, electrical, civil, structural, or a closely related engineering discipline. - At least 3–5 years of hands-on experience in a physical engineering field. - Practical experience with engineering tools and CAE workflows, including interpreting analyses and checking assumptions, constraints, and results. - Familiarity with technical materials such as CAD or BIM models, drawings, schematics, calculations, simulations, or specifications. - Experience leading technical projects from scoping and estimation through delivery, with direct involvement in the work. - Ability to evaluate engineering outputs, set quality standards, and communicate requirements clearly across teams.

Nice to have - A relevant master’s or doctoral degree. - Experience creating engineering data or evaluation tasks for AI training, benchmarking, or model assessment. - Familiarity with CAD/BIM interoperability, open engineering formats, or structured validation. - Experience coordinating distributed specialists or external engineering contributors.

Benefits and work setup The listing describes flexible ways of working, with tools, resources, and development opportunities. The work spans engineering domains and cross-functional teams.

Detected Nov 12, 2026
Last verified Nov 12, 2026

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