Remote AI Training Engineer - Contract, High-Impact Tasks

micro1; United States; Remote; USD 83,000 - 165,000; Part time

Job summary

micro1 is seeking Computational Engineers with AI-training or model-evaluation experience to support a project focused on improving advanced AI systems. You will use your engineering expertise and programming skills to create challenging technical tasks, evaluate model-generated code and analyses, identify failures, and establish objective standards for correct solutions.

The role is contract-based, fully remote, with a time commitment of 15+ hours per week and flexible scheduling.

Qualifications

• Prior paid experience training, evaluating, benchmarking, or improving AI systems on engineering or technical tasks.
• Deep expertise in at least one relevant engineering specialization.
• Strong programming or scripting ability, with Python strongly preferred.
• Hands-on experience using computational methods for engineering analysis, simulation, modeling, optimization, testing, automation, or data processing.
• Experience creating or validating technical results with clear and reproducible answers.

Responsibilities

• Create realistic computational engineering tasks that challenge advanced AI models.
• Develop task instructions, reproducible environments, reference solutions, and evaluation criteria.
• Evaluate model-generated code, calculations, simulations, designs, analyses, and technical deliverables.

Skills

Hardware

Aerodynamics

Mechanical Engineering

Electrical Engineering

AI Training

Programming Skills

Job description

micro1 is seeking Computational Engineers with AI-training or model-evaluation experience to support a project focused on improving advanced AI systems. You will use your engineering expertise and programming skills to create challenging technical tasks, evaluate model-generated code and analyses, identify failures, and establish objective standards for correct solutions.

The role is contract-based, fully remote, with a time commitment of 15+ hours per week and flexible scheduling.