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Mechanical Engineer

Remote / Online - Candidates ideally in
Seattle, King County, Washington, 98127, USA
Listing for: Harrison Consulting Solutions
Remote/Work from Home position
Listed on 2026-07-19
Job specializations:
  • Engineering
    Mechanical Engineer
Job Description & How to Apply Below

AI Data Lab – Mechanical Engineer (Micro1)

Job Type: Contractor

Location:

Remote

Rate: $20-50 per task

Job Summary:

Apply your mechanical engineering 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 AI experience required – domain knowledge is what matters.

  • Analyze technical documents and extract key information relevant to your domain expertise.
  • Generate, review, and refine questions and solutions based on real‑world mechanical engineering scenarios.
  • Collaborate with multidisciplinary teams to ensure accuracy and depth of data and analysis.
  • Provide detailed written and verbal feedback on document clarity, technical accuracy, and effectiveness.
  • Apply advanced subject‑matter knowledge to evaluate and solve complex engineering problems.
  • Work independently, managing your time to deliver high‑quality outputs with minimal supervision.
  • Contribute to the continuous improvement of data quality and project processes.
  • 2‑6 years of professional or academic experience in mechanical engineering or a closely related field.
  • Strong reading comprehension skills and proven ability to analyze and interpret technical documents.
  • Exceptional English communication skills, both written and verbal.
  • Demonstrated experience in creating or evaluating technical content such as reports, studies, or problem sets.
  • Ability to work independently and efficiently with excellent self‑management.
  • High attention to detail and commitment to data accuracy.
  • Experience interfacing with technical documentation and performing analytical tasks.
  • Advanced degree (Master’s or PhD) in Mechanical Engineering, Chemistry, Physics, or Biology.
  • Previous experience contributing to interdisciplinary or research‑driven projects.
  • Familiarity with data‑driven analysis or training data preparation.
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