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AI Trainer Jobs

Technical Problem Author (Multi-Domain)

micro1 · 100% remote · Contract · Posted

Pay
$60–110/hr
Location
Worldwide
Languages
English
Hours
Minimum weekly task submissions
Openings
47
Level
Expert
Apply for this position

Summary

Author advanced engineering problems and evaluate AI technical responses. Apply practical and theoretical engineering knowledge, clarify ambiguous problems, and provide structured feedback for AI training.

What you'll do

  • Author and evaluate advanced engineering problems.
  • Assess AI responses for technical correctness and engineering relevance.
  • Apply engineering judgment to design, analysis, and failure scenarios.
  • Troubleshoot complex issues and clarify ambiguous problem statements.
  • Provide structured feedback and clear explanations.
  • Collaborate remotely with technical experts.
  • Document insights and recommendations for model improvement.

Requirements

  • Preferred: relevant MS or PhD, or substantial industry experience.
  • Preferred industry alternative: 8+ years in aerodynamics, circuit design, or mechanical engineering; 5+ years in CAD/mechanical design.
  • Preferred: at least five years of hands-on technical experience.
  • Preferred: demonstrated technical problem authoring experience.
  • Preferred: publications, patents, awards, competition results, or committee service.
  • Professional English and strong written and verbal communication.
  • Preferred: familiarity with engineering tools relevant to the specialty.
  • Preferred: ability to work independently and meet remote project deadlines.

Skills

  • AutoCAD
  • Aerodynamics
  • Mechanical Engineering

Full description

Role Title: Technical Problem Author (Multi-Domain)


Role Type: Contractor


Location: Remote


micro1 is engaging Technical Problem Authors (Multi-Domain) to contribute to a customer's project focused on advancing the capabilities of AI technologies in engineering. In this role, you'll apply your 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 experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Author and evaluate advanced technical problems in your area of expertise, such as Aerodynamics, Materials Science, CAD/Mechanical Design, Circuit Design, or Mechanical Engineering.
  2. Review and assess AI-generated technical responses for correctness, accuracy, and engineering relevance.
  3. Apply practical engineering judgment to real-world design, analysis, and failure scenarios, along with theoretical problem contexts.
  4. Analyze and troubleshoot complex, domain-specific issues, identifying ambiguities and proposing clarifications in technical statements and conditions.
  5. Provide structured feedback and clear written and verbal explanations to support and enhance AI learning and reasoning capabilities.
  6. Collaborate remotely with a network of technical experts and project participants to deliver high-quality domain input.
  7. Document insights and recommendations to inform continuous model improvement and refinement of problem statements.


Preferred Qualifications

  1. Advanced degree (MS or PhD) in a relevant engineering discipline, or substantial industry experience (8+ years for Aerodynamics/Circuit Design/Mechanical Engineering; 5+ years for CAD/Mechanical Design).
  2. At least 5 years of hands-on technical experience in your domain, such as mechanical design, aerodynamic analysis, materials selection, or circuit/system development.
  3. Demonstrated track record in technical problem authoring (e.g., olympiad problem committees, licensure exam item writing, academic qualifying-exam authorship, standards committee roles, or technical competition leadership).
  4. Flagship publications, patents, or industry awards recognized within your field, or evidence of technical rigor through competition results or committee service.
  5. Professional-level English proficiency and exceptional written and verbal communication skills are essential.
  6. Familiarity with industry-standard engineering tools (e.g., AutoCAD, CAD suites, CFD/FEA software, EDA tools, or lab equipment) relevant to your specialty.
  7. Experience working independently and remotely, contributing high-quality deliverables within required project timelines.


Compensation Structure

Compensation is output-based; experts are paid per task that meets the project specifications. The time required to complete work may vary depending on the expert's experience and workflow. Minimum submission requirements apply. Experts must submit a minimum of tasks per week.


Start Timeline & Availability

We typically fill roles within 48 hours and are looking for experts ready to jump in right away. If selected, we expect you to start your first tasks within 24–48 hours of completing onboarding.

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