Energy Project Estimation Expert for AI Training

Pre-construction Managers apply energy project estimation, construction planning, and solar design expertise to evaluate AI-generated content and produce expert-level training data that improves AI understanding of project development workflows and cost estimation practices.

• Use hands-on experience in energy project estimation, pre-construction planning, and solar system design to assess AI-produced responses for technical accuracy and real-world relevance.
• Provide detailed, task-level feedback that helps refine AI outputs and creates high-quality training data.
• Work with common industry tools and documentation to validate assumptions, cost inputs, scope definitions, and construction sequencing in AI examples.
• Communicate findings clearly in writing to research teams, highlighting errors, edge cases, and improvements.

• Minimum 2 years of professional experience in energy project estimation, pre-construction, or solar design.
• Relevant roles include Estimator, Project Engineer, Pre-construction Manager, Solar Design Engineer, or equivalent positions in the energy industry.
• Hands-on experience with one or more of the following tools: Bluebeam Revu, RSMeans, Aurora Solar.
• Strong written communication skills, high attention to detail, and the ability to work independently and asynchronously with AI research teams.
• No prior AI experience required.

• Location: Remote.
• Employment type: PART_TIME, hourly contract work.
• Schedule: fully remote, flexible and asynchronous, no minimum hour requirement.
• Typical commitment when engaged in an active project is approximately 5 to 20 hours per week.
• This is an ongoing, project-based engagement you can take on alongside other work; placement on specific projects depends on current project needs, with consideration for future opportunities as they arise.

Paid hourly, up to $85/hr (depending on the project).

• Create a profile and complete the required identity verification.
• Review and join onboarding for projects that match your skills and experience.
• Complete onboarding tasks for selected projects, then begin evaluating tasks and submitting feedback to earn payment.