Note: The job is a remote job and is open to candidates in USA. GigFinder.ai is engaging Mechanical Engineering Technicians to support a customer project developing advanced AI benchmarks. The role involves creating realistic technician workflow tasks, technical datasets, solution pathways, grading rubrics, and detailed documentation based on laboratory, testing, and production scenarios.
Responsibilities
- 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
Skills
- 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
Benefits
- Remote work arrangement
- Output-based compensation: experts are paid per task that meets the project specifications
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