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Mechanical And Aerospace Engineering Task Lead

Remote / Online - Candidates ideally in
Phoenix, Maricopa County, Arizona, 85001, USA
Listing for: OpenTrain AI, Inc.
Remote/Work from Home position
Listed on 2026-10-27
Job specializations:
  • Engineering
    AI Evaluation
  • Research/Development
    AI Evaluation
Salary/Wage Range or Industry Benchmark: 28000 - 50000 USD Yearly USD 28000.00 50000.00 YEAR
Job Description & How to Apply Below
The work

You will support AI training projects focused on mechanical and aerospace engineering simulation. The work uses engineering tasks, simulation files, reference solutions, and automated tests to help AI systems learn from expert review.

You will assess model outputs against project guidelines, record evidence-based decisions, and give clear written feedback. You will also help maintain consistent quality across repeated review tasks.

  • Evaluate model outputs using project rubrics.
  • Review source materials and model responses against detailed guidelines.
  • Explain your decisions clearly so feedback can improve model behavior.
  • Maintain consistent judgments and quality across review tasks.
What it pays and takes

This is a remote contractor role. Previous AI training experience is not required; strong knowledge of mechanical and aerospace engineering simulation is the main qualification.

  • Compensation:
    Set through the project budget shown for this role.
  • Time commitment: 20 or more hours per week.
  • Location:

    Open worldwide for remote work.
  • Language:
    Fluent English.
  • Experience level:
    Entry level; relevant professional or academic expertise in mechanical and aerospace engineering simulation is required.
  • Skills:

    Strong written communication, careful attention to detail, and the ability to follow detailed instructions and apply rubrics consistently.
  • Work style:
    Comfortable working independently on remote contractor tasks.
About AI training work

AI training is the human work behind artificial intelligence. Contributors review model responses, evaluate results, and provide clear feedback so AI systems can improve; subject-matter experts are needed when the work involves specialized engineering knowledge.

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