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Hardware Expert - Remote

Remote / Online - Candidates ideally in
New York, New York County, New York, 10261, USA
Listing for: YO AI Labs
Part Time, Remote/Work from Home position
Listed on 2026-10-21
Job specializations:
  • Engineering
    Systems Engineer
Salary/Wage Range or Industry Benchmark: 60 - 120 USD Hourly USD 60.00 120.00 HOUR
Job Description & How to Apply Below
Hardware Engineer - AI Training

Location: Global, Fully Remote
Job Type: Contractor (~15 hours per week)
Schedule: Flexible

Job Summary

We are seeking experienced Hardware Engineers to support AI training projects involving real-world engineering challenges, technical problem-solving, and validation. Candidates should have hands‑on experience solving complex engineering problems and using coding agents in their workflow.

Key Responsibilities
  • Develop realistic, technically rigorous hardware engineering problems.
  • Create reference solutions using calculations, simulations, scripts, or experimental methods.
  • Validate results using engineering tools and reproducible workflows.
  • Apply first-principles reasoning to troubleshoot failures and assess system performance.
  • Evaluate engineering solutions for accuracy, reliability, and practical feasibility.
Required Qualifications
  • Bachelor's, Master's, or PhD in Electrical, Mechanical, Aerospace, Mechatronics, Systems Engineering, Applied Physics, or a related field.
  • Significant professional or research experience in hardware engineering, product development, testing, validation, or failure analysis.
  • Demonstrated ownership of substantial engineering projects or technical problems.
  • Experience working with coding agents is mandatory.
  • Familiarity with tools such as Python, MATLAB, Simulink, SPICE, Julia, C/C++, or test automation platforms.
Selection Process
  • Submit an application and complete screening questions.
  • Complete an approximately 30‑minute AI interview.
  • Complete the hiring manager review.
  • Availability

    Candidates should be ready to start promptly, with the first task expected within 24-48 hours after onboarding.

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