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Energy Auditor for AI Training

Use your building energy auditing or modeling experience to evaluate AI-generated content and complete practical project tasks remotely. Pay is up to $80 per hour, with about 5 to 20 hours weekly during active projects and no minimum hours.

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OpenTrain AI

Generative AI & RLHF

Remote Hourly · $80/hr

$80/hr

Compensation

Contract

Engagement

Remote

Location

Nov 7, 2026

Posted

Open to applicants in

United States

The work

Apply your professional building energy experience to practical project tasks and reviews of AI-generated content.

  • Produce analytical work and data outputs using tools and workflows from your professional practice.
  • Complete structured building energy tasks, including price forecast models and power purchase agreement documentation.
  • Assess AI-generated building energy content against professional standards and provide clear, useful feedback.

What it pays and takes

  • Pay: Up to $80 per hour.
  • Hours: No minimum. During active projects, contributors typically work about 5 to 20 hours per week.
  • Work arrangement: Ongoing, project-based contract work that is fully remote, flexible, and asynchronous. Project participation depends on current needs, with consideration for future projects.
  • Location: Open to candidates in the United States.
  • Experience: At least two years in building energy management, auditing, or modeling. Relevant backgrounds include energy auditing, building energy modeling, HVAC energy engineering, commissioning, LEED energy modeling, or ENERGY STAR work.
  • Tools: Hands-on experience with EPA Portfolio Manager or eQUEST.
  • Skills: Ability to work independently and asynchronously, with strong written communication and attention to detail. Fluent in English.

How it works

Apply on OpenTrain with your resume, then complete the application on the hiring site.

About AI training work

AI training work involves people reviewing and improving AI outputs with examples and feedback. Building energy expertise helps improve how AI handles real-world energy workflows and practices.

Requirements

  • Languages: English

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