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OpenTrain AIFor AI Companies

Mechanical Engineering Technician AI Training Specialist

Use your hands-on mechanical engineering technology expertise to create technician workflow tasks, technical datasets, and grading rubrics for advanced AI benchmarks. Remote contract work pays $30-$70 per hour for less than 20 hours per week.

OpenTrain AI

General Annotation

100% Remote Hourly · $30–$70/hr

$30–$70/hr

Compensation

Worldwide

Eligibility

Entry

Experience

Aug 12, 2026

Posted

Open worldwide

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About OpenTrain

OpenTrain AI is the hiring and contracting organization for this role. OpenTrain is the #1 platform for finding and building careers in AI training and data labeling, helping people discover projects, build a professional profile, and grow in a fast-moving industry. Creating an OpenTrain account is free.

About AI Training Work

AI training is the human side of building artificial intelligence. Subject-matter experts help prepare examples, evaluate model behavior, and define what accurate reasoning looks like. In this project, your mechanical engineering knowledge will help train AI systems to work through realistic engineering challenges.

  • Fully remote work that can fit around other commitments
  • Flexible part-time project with less than 20 hours per week
  • No prior AI experience required
  • Directly contribute to how advanced AI systems reason about engineering workflows

The Role

OpenTrain AI is recruiting a Mechanical Engineering Technician to contribute to a project designing advanced AI benchmarks. You will create authentic technician workflow tasks, construct technical datasets, and develop detailed grading rubrics that evaluate AI reasoning through real-world mechanical engineering challenges.

  • Employment type: Contractor and part-time
  • Experience level listed for the project: Entry level
  • Language: English
  • Location: Worldwide and remote
  • Schedule: Less than 20 hours per week

What You'll Do

You will translate practical lab, test, and production experience into precise training materials. Your work will involve documenting procedures and diagnostic reasoning clearly enough to support consistent evaluation of AI-generated solutions.

  • Design and author technician workflow tasks covering test setup, instrumentation, data collection, and failure diagnosis.
  • Source, synthesize, and construct technical datasets from test logs, calibration records, sensor outputs, and failure reports.
  • Define accurate solution pathways and develop grading rubrics containing 35 or more items.
  • Evaluate instrumentation logic, data interpretation, and failure analysis using the grading rubrics.
  • Document procedures, observations, and diagnostic findings with high precision.

Requirements

This role is intended for someone with substantial practical experience in mechanical engineering technology and related testing workflows. No previous experience working in AI training is required; your technical expertise is the foundation of the work.

  • At least 4 years of hands-on lab, test, or production experience in mechanical engineering technology
  • Associate degree or trade credential in mechanical engineering technology or a related field
  • Extensive experience with instrumentation, sensors, data acquisition systems, and prototype testing workflows
  • Strong analytical skills for interpreting complex datasets and diagnosing failures
  • Familiarity with technical documentation formats, including CSVs, spreadsheets, and PDFs
  • Ability to work independently on remote projects and meet high technical standards

Compensation And Project Details

Compensation is hourly and ranges from $30 to $70 USD based on experience and task complexity. Minimum submission requirements apply, and experts must complete a minimum number of tasks per week.

  • Hourly compensation: $30-$70 USD
  • Rate varies according to experience and task complexity
  • Minimum weekly task submissions are required

Why Join AI Training

AI training and data annotation are expanding ways to contribute to technology without moving into a traditional software role. Contributors use professional knowledge to shape how cutting-edge AI systems interpret information, solve problems, and respond to real-world situations.

  • Apply specialized mechanical engineering knowledge to emerging AI systems
  • Work remotely with a flexible, part-time commitment
  • Build experience in a rapidly growing technical field
  • Help define accurate standards for engineering reasoning and evaluation

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