HVAC Expert for AI Diagnostics and System Design

You will use practical HVAC service knowledge to create and assess scenarios that test how AI models handle diagnostics and system design.

• Create realistic service scenarios that move from symptoms through diagnosis and repair.
• Write reference answers explaining system behavior, charge selection, duct sizing, and sequence of operations.
• Review AI responses for technical accuracy, efficiency, and safety.
• Flag plausible but incorrect or dangerous recommendations, including advice that could damage a compressor or introduce carbon monoxide into a home.

• Remote, asynchronous contractor work; a commitment of at least 20 hours per week is required.
• Open to candidates in the countries listed for this role.
• Clear written English is required for documenting diagnostic reasoning.
• You must have EPA Section 608 certification, state HVAC licensing where required, and at least two years of field experience in installation, service, or controls.
• You need working knowledge of refrigeration cycles, airflow, and load calculation.
• Experience in residential service, commercial refrigeration, controls, heat pumps, geothermal, high-efficiency systems, or building automation is helpful. NATE certification is also helpful.
• Payment is made weekly through Stripe.

Apply on OpenTrain with your resume, then complete the application on the hiring site. OpenTrain is a free platform where people can find AI training work, build a profile, and apply to projects.

AI training work uses examples and reviews from people to help AI systems learn. HVAC experts contribute practical knowledge that helps assess whether a model’s technical advice is accurate and safe.