AI Trainer (Engineering Sciences)

Overview

micro1 is hiring Engineering professionals with prior AI-training or model-evaluation experience to help improve advanced AI systems. The work is fully remote, available globally, and paid per accepted task on an output-based basis. 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.
• Write task instructions, build reproducible environments, prepare reference solutions, and define evaluation criteria.
• Review model-generated calculations, code, simulations, analyses, and other technical deliverables.
• Spot invalid assumptions, incorrect outputs, integration failures, and reproducibility issues.

Requirements

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

Preferred Qualifications

• Experience creating AI-training tasks, reference solutions, rubrics, graders, or benchmark problems.
• Experience reviewing other AI trainers’ technical submissions.
• Background in 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 with technical and integrity checks.
• Complete a hiring manager review.
• If selected, complete project onboarding and begin assigned tasks.

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.

Confidential employer or customer materials should not be shared.

Compensation

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

Time commitment is 15+ hours per week, with a flexible schedule.