Our team is engaging Mechanical Engineering Technicians to contribute to a customer's project involving the development of advanced AI benchmarks. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.
Scope of Work
• Design and author authentic technician workflow tasks that reflect real-world challenges, including test setup, instrumentation, data collection, and failure diagnosis.
• Source, synthesize, and construct technical datasets (such as test logs, calibration records, sensor outputs, and failure reports) derived from actual lab or production scenarios.
• Define accurate solution pathways, including the interpretation of test data and informed next-step recommendations.
• Develop rigorous, 35+ item grading rubrics to evaluate technical skills in instrumentation logic, data interpretation, and failure analysis, usable by AI and domain experts alike.
• Document detailed technical procedures, observations, and diagnostic findings with high precision and clarity.
• Ensure all evaluation tasks meet the complexity and realism standards representative of professional practice, surpassing simplified textbook examples.
Preferred Qualifications
• Minimum 4 years of hands-on experience in lab, test, or production environments within mechanical engineering technology.
• Associate degree or recognized trade credential in mechanical engineering technology or related discipline.
• Extensive experience with instrumentation, sensors, data acquisition systems, and prototype testing workflows.
• Demonstrated ability to perform in-depth technical documentation of test procedures, outcomes, and failure modes.
• Strong analytical skills for interpreting complex datasets and diagnosing equipment or process failures.
• Familiarity with technical documentation formats, such as CSVs, spreadsheets, PDFs, and other relevant files.
• Comfort working independently, contributing to remote projects, and aligning deliverables with high technical standards.
Compensation Structure
Compensation is output-based; experts are paid per task that meets the project specifications. The time required to complete work may vary depending on the expert’s experience and workflow. Minimum submission requirements apply. Experts must submit a minimum of tasks per week.
Start Timeline & Availability
We typically fill roles within 48 hours and are looking for experts ready to jump in right away. If selected, we expect you to start your first tasks within 24–48 hours of completing onboarding.
Skills mentioned
Test setupData interpretationFailure diagnosis
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