Project Overview:
Join a growing community of professionals advancing the next wave of AI. As an AI Trainer, you’ll play a hands-on role by analyzing and providing feedback on data to improve LLM performance, helping ensure that the next generation of AI technology is accurate and trustworthy.
We are seeking a skilled Senior Mechanical / Industrial Engineer to work as a project consultant in our AI Labor Marketplace. This is not a full-time employment position — you will be engaged as an expert project consultant on a contract basis.
Location: U.S.-based experts only
Engagement: Part-time, project-based expert evaluation work
Work Type: Remote
Project Summary:
Design and evaluate realistic, domain-specific engineering scenarios (manufacturing, aerospace, automotive, supply chain) used to test and improve advanced AI models. Work includes prompt creation, synthetic artifact development, rubric design, model evaluation, and gold-standard response authoring.
Consultant Engagement Terms:
This is a project-based consultant role. Consultants will be paid on a per-project basis; hourly rates are estimates based on anticipated completion time. Consultants control their own schedule, provide their own tools, and may simultaneously provide services to other vendors/employers (subject to those vendors’ allowances).
Responsibilities:
Contributors will:
- Create realistic, single-turn engineering prompts reflecting day-to-day senior engineering work
- Develop synthetic supporting artifacts (process flows, quality data, equipment specs, schedules)
- Validate prompts against state-of-the-art AI models and revise as needed
- Define weighted, criteria-based evaluation rubrics
- Evaluate model outputs against expert reasoning expectations
- Draft gold-standard engineering responses with assumptions, risks, and next steps
Expected Outcomes:
- High-quality engineering prompts that challenge state of the art AI models
- Clear, repeatable rubrics for technical evaluation
- Expert-authored gold responses reflecting senior-level judgment
Qualifications:
- 10+ years of experience in Mechanical or Industrial Engineering
- Background in manufacturing, aerospace, automotive, or complex supply-chain operations
- Expertise in process improvement, quality analysis, and production systems
- Strong written communication and analytical reasoning skills
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