AI Trainer (Hardware & Engineering)

Remote • Contract • via micro1

About this role

Pay: $60 to $120/hour equivalent, paid per accepted task

Location: Global, fully remote

Job Type: Contractor

Time Commitment: 15+ hours per week

Schedule: Flexible

micro1 is looking for Hardware and Engineering professionals with prior professional AI-training or model-evaluation experience to support a project focused on improving advanced AI systems.

You will use your engineering expertise to create challenging technical tasks, evaluate model-generated work, identify failures, and establish objective standards for correct solutions. This role is intended for candidates who have already completed substantive AI-training work.

What You’ll Work On

• Create realistic engineering tasks involving design, analysis, simulation, testing, manufacturing, debugging, or system integration.
• Develop task instructions, reproducible environments, reference solutions, and evaluation criteria.
• Evaluate model-generated calculations, code, simulations, analyses, and technical deliverables.
• Identify invalid assumptions, incorrect results, integration failures, or reproducibility issues.

Required Qualifications

• Prior paid experience training, evaluating, benchmarking, or improving AI systems.
• Strong practical proficiency with Python or comparable engineering scripting.
• Hands-on expertise in at least one relevant hardware or engineering domain.
• Experience using relevant engineering software, command-line tools, scripting interfaces, configuration files, or programmatic APIs.

Relevant domains may include:

• Mechanical and aerospace engineering
• Electrical and computer engineering
• Electronics, embedded systems, FPGA, or ASIC design
• Civil and structural engineering
• Chemical and process engineering
• Manufacturing and industrial engineering
• Robotics and controls
• Materials engineering
• Energy systems
• Medical devices and biomedical engineering

Public Proof of Skill

Strong applicants should provide evidence such as:

• Designs taken into production
• Simulations validated against test data
• Complex engineering failures personally diagnosed
• Patents, publications, or technical reports
• Open-source hardware or engineering-software contributions
• Engineering competition results
• Public schematics, PCB designs, RTL, simulations, test systems, scripts, or technical projects

Confidential employer or customer materials should not be shared.

Preferred Qualifications

• Experience creating AI-training tasks, reference solutions, rubrics, graders, or benchmark problems.
• Experience reviewing other AI trainers’ technical submissions.
• A master’s degree, PhD, or substantial professional experience in a relevant engineering discipline.
• Experience with verification and validation, testing, failure analysis, or technical quality assurance.
• Experience with long-horizon or agentic AI evaluations.
• Availability to begin immediately.

Application Process

• Submit your application, AI-training experience, engineering specialization, and public technical evidence.
• Complete an AI interview containing technical and integrity checks.
• Complete a hiring-manager review.
• If selected, complete project onboarding and begin your first assigned task.

Compensation

• Compensation is output-based. Experts are paid for tasks that meet project specifications and quality requirements. Task availability and completion time may vary.

Key skills

• Hardware
• Aerodynamics
• Mechanical Engineering
• Electrical Engineering
• AI Training

Details

• Pay: $60 to $120/hr
• Company: micro1
• Location: Remote
• Eligible locations: Bangladesh, Hong Kong, India, Indonesia, Japan, Kazakhstan and 52 more
• Platform: micro1