
Pre-construction Manager - Energy AI
Listing checked October 19, 2026 · pay as published by Handshake AI
Key details
- Pay
- Up to $85/hr
- Location
- RemoteUnited States
- Job type
- Part-Time
- Posted
- April 25, 2026
Overview
Handshake AI seeks energy professionals to shape how AI models handle project development and cost estimation tasks. You will review AI-generated answers, flag mistakes, and create reference examples that reflect real pre-construction, solar design, and estimation work. Bluebeam Revu, RSMeans, and Aurora Solar are the tools you may bring into that review process. The engagement runs as a remote, part-time project with an asynchronous schedule and no minimum hour requirement. No background in AI is necessary, only hands-on energy industry experience.
What You'll Do7
- Review AI-generated responses for energy project estimation, pre-construction planning, and solar design accuracy.
- Write expert examples and reference notes that show correct cost estimation and project development steps.
- Check outputs against real-world workflows using tools such as Bluebeam Revu, RSMeans, or Aurora Solar.
- Identify gaps, errors, and unclear reasoning in AI answers and explain how to fix them.
- Submit feedback that helps research teams improve model understanding of construction and energy concepts.
- Coordinate with AI researchers through written updates and no fixed meeting schedule.
- Track assigned tasks and complete them within active project timelines.
Requirements6
- 2+ years of professional experience in energy project estimation, pre-construction, or solar design.
- Background as an Estimator, Project Engineer, Pre-construction Manager, Solar Design Engineer, or similar energy industry role.
- Hands-on use of at least one tool from this list: Bluebeam Revu, RSMeans, Aurora Solar.
- Clear written communication that explains technical energy concepts to a research audience.
- Strong attention to detail when comparing AI outputs with accepted industry practices.
- Ability to manage tasks on an asynchronous schedule and work without direct supervision.
Who Should Apply
The ideal candidate has at least two years in energy estimation, pre-construction, or solar design and can point to real projects where they used Bluebeam Revu, RSMeans, or Aurora Solar. You should enjoy writing short, precise critiques of technical content and feel comfortable setting your own hours across a part-time project. This role fits people who want project-based AI training work alongside a current job or consulting practice. Candidates often score low when they list general construction experience without showing estimation, pre-construction, or solar design depth. Another common miss is applying with no hands-on use of the named tools or with no sample of written technical feedback.
Salary Insight
The listing states compensation up to $85.00 per hour. That upper rate reflects the specialized energy estimation, pre-construction, or solar design background the project needs. Your exact pay depends on the active project, your experience level, and how many hours you take on. Most contributors work about 5 to 20 hours each week during an active project, so earnings vary with the hours you choose.
Pay and demand for AI Training roles
Market estimates from live NearSkill listings — separate from this job's published terms.
This role · as published
Up to $85/hr
Taken from the listing itself.
Typical pay · estimated
$70/hour
Median of 1,246 similar roles that publish pay · 300 publish only a top rate; those count at the rate they gave
Most AI Training roles pay $40–$95 per hour. This role's pay falls inside that range.
Rates shown per hour. Yearly and monthly pay converted; one-time fees and non-USD pay are not included.
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Most requested skills · share of roles
- ai evaluation14%
- llm evaluation12%
- data annotation12%
- ai training12%
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