Mechanical Engineering Technician | $30-$70/hr Remote
Overview
Remote role for a Mechanical Engineering Technician contributing to a customer project that builds advanced AI benchmarks. You’ll design realistic workflow tasks, source and assemble technical datasets from real lab or production settings, and guide AI evaluation with clear, data-driven recommendations. The work centers on test setup, instrumentation, data collection, and diagnosing failures, with a strong emphasis on precise documentation. Prior AI experience isn’t required; your mechanical engineering expertise is what matters. Instrumentation, data acquisition systems, and failure analysis are central to success in this role.
What You'll Do6
- 1Create authentic technician tasks that mirror real-world challenges, including configuring tests, setting up instruments, collecting data, and diagnosing failures.
- 2Gather and synthesize lab or production data into technical datasets such as logs, calibration records, sensor outputs, and failure reports.
- 3Interpret test results to propose actionable next steps and define correct solution paths.
- 4Develop a rigorous scoring rubric with 35+ items to assess instrumentation logic, data interpretation, and failure analysis for both AI and domain experts.
- 5Document procedures, observations, and diagnostic outcomes with clear, precise technical language.
- 6Ensure every evaluation task reflects real professional practice and avoids oversimplified examples.
Requirements7
- 1Minimum 4 years of hands-on mechanical engineering technology experience in lab, testing, or production settings.
- 2Associate degree or recognized trade credential in mechanical engineering technology or a related field.
- 3Extensive experience with instrumentation, sensors, data acquisition systems, and prototype testing workflows.
- 4Proven ability to document test procedures, results, and failure modes in technical detail.
- 5Strong data interpretation skills and the capability to diagnose equipment or process issues from complex datasets.
- 6 Familiarity with CSVs, spreadsheets, PDFs, and similar documentation formats.
- 7Ability to work independently on remote projects while delivering high-quality technical outputs.
Who Should Apply
The ideal candidate has at least four years of hands-on mechanical engineering technology experience and a solid background in instrumentation and data acquisition. They should be comfortable building real-world test workflows, documenting findings precisely, and contributing to remote, task-based work. This role may not suit someone who lacks lab or production experience, or who cannot meet the minimum weekly task submissions. Common fit concerns include limited experience with diagnostic data interpretation or weak documentation habits, which can lower scoring on the required rigor and realism of tasks.
Salary Insight
Pay is task-based and varies with the complexity of each submission; no fixed rate is listed here. Pay details are discussed after onboarding and task alignment.
Location
Required Skills
Application Tip
Highlight a specific lab or test project where you designed an instrumentation workflow and produced a detailed failure analysis report with sourced datasets.
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