AI Trainer (Hardware & Engineering)

Overview

micro1 is hiring Hardware and Engineering professionals with prior paid AI-training or model-evaluation experience for a project focused on improving advanced AI systems. The role is fully remote, with flexible scheduling and a time commitment of 15+ hours per week. Compensation is output-based and paid per accepted task.

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.

Requirements

• 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 engineering software, command-line tools, scripting interfaces, configuration files, or programmatic APIs.

Relevant Background Areas

• 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

• 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.

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

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

Compensation

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