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.