Energy Project Engineer - Remote Part-Time
Listing checked September 18, 2026 · pay as published by Handshake AI
Overview
Handshake AI hires energy industry professionals for project-based AI research. You use your work in energy project estimation, pre-construction, or solar design to build expert training data and review AI-generated answers. The project calls for hands-on knowledge of tools such as Bluebeam Revu, RSMeans, or Aurora Solar. Work happens remote with an asynchronous schedule, no minimum hours, and most contributors log 5 to 20 hours per week during active projects. No prior AI experience required.
What You'll Do6
- 1Review AI-generated content for accuracy, relevance, and alignment with energy project estimation, pre-construction, and solar design practices.
- 2Create expert-level training examples that show how energy professionals estimate costs, plan construction, and design solar systems.
- 3Apply daily tools such as Bluebeam Revu, RSMeans, and Aurora Solar to test and critique AI output.
- 4Write clear feedback that explains errors, gaps, and better answers for AI research teams.
- 5Compare AI responses against real project development workflows and industry cost estimation methods.
- 6Maintain written records of evaluations and training data for asynchronous project work.
Requirements6
- 1At least 2 years of professional experience in energy project estimation, pre-construction, or solar design.
- 2Background as an Estimator, Project Engineer, Pre-construction Manager, Solar Design Engineer, or a similar energy industry role.
- 3Hands-on use of one or more tools: Bluebeam Revu, RSMeans, or Aurora Solar.
- 4Strong written communication and close attention to detail.
- 5Ability to work on an asynchronous schedule with AI research teams and no direct supervision.
- 6No prior AI experience needed.
Who Should Apply
The role fits an energy estimator, project engineer, pre-construction manager, or solar design engineer with 2+ years in the field and hands-on use of Bluebeam Revu, RSMeans, or Aurora Solar. You should enjoy writing precise evaluations and working remote on your own schedule, since projects run on an asynchronous basis with 5 to 20 hours per week. Candidates who need a full-time schedule, daily team meetings, or a traditional permanent position will find this project a poor match. Applications often score low when they show no hands-on tool experience from the list or cannot document 2 years of energy project estimation, pre-construction, or solar design work. Weak written samples also hurt, because the task depends on clear, detailed feedback.
Salary Insight
Pay reaches $85.00 per hour at the top of the range for this project-based AI training work. That rate sits above many part-time remote research tasks and usually matches energy professionals with 2 or more years of domain experience plus hands-on tool skills. Handshake AI lists the role as per-hour contract work, so earnings depend on approved hours and active project availability.
Pay and demand for Energy & Power Generation roles
AggregatedTypical pay
$80/hour
This role
up to $85/hr
Most Energy & Power Generation roles pay $65–$96 per hour. This role's pay falls inside that range.
Based on 122 similar roles that publish pay · 18 publish only a top rate; those count at the rate they gave
Rates shown per hour. Yearly and monthly pay converted; one-time fees and non-USD pay are not included.
- Live similar roles
- 147
- Listed in last 30 days
- 94
- Remote
- 87%
Hiring most right now: micro1 (37) · Handshake AI (29) · Mercor (27)
Most requested skills · share of roles
- technical writing19%
- matlab11%
- python10%
- mechanical engineering10%
Figures from Energy & Power Generation roles live on NearSkill when this page loaded. A role can close before you apply, so check the listing itself.
Compare your resume against these rolesLocation
Compensation
Up to $85/hr
Required Skills
Application Tip
In your resume and application answers, name the exact tools you use from the list (Bluebeam Revu, RSMeans, Aurora Solar) and quantify your energy project estimation, pre-construction, or solar design work. For example, state the number of projects estimated, the dollar value of budgets you handled, or the size of solar systems you designed. That evidence helps reviewers see 2+ years of hands-on domain experience and raises your fit score.
See NearSkill jobs more often in your search
Application & verification flow
1Instant rubric match
Your resume is scanned against this role’s requirements to check qualification fit.
2Screened before the employer sees it
Only profiles that clear screening are passed on.
3Outcome by email
We notify you at the address on your resume once the screening is reviewed.
Similar open positions
Explore active roles that match your skills and interests.
Handshake AI
VerifiedEnergy Project Estimator - Remote Part-Time
Handshake AI seeks energy industry professionals for project-based AI research work. You will use your background in energy project estimation, construction planning, or solar design to review AI-generated responses and build expert training data. The role centers on judging whether model output matches real-world cost estimation and project development practices. The schedule stays async and remote, and most contributors put in about 5 to 20 hours each week while a project is active. You do not need prior AI experience.
Handshake AI
VerifiedSolar Design Engineer - Remote Part-Time
Handshake AI hires energy professionals to support AI research on a flexible hourly contract. You review AI-generated answers about solar design, pre-construction, and project estimation, then supply feedback that sharpens how models handle development workflows and cost data. The work draws on tools such as Aurora Solar, Bluebeam Revu, and RSMeans. You set a remote, async schedule with no minimum hours; most contributors log 5 to 20 hours each week during an active project. You do not need an AI background.
Handshake AI
VerifiedPre-construction Manager - Energy AI (Remote)
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.
Handshake AI
VerifiedEnergy Project Estimator - Remote Fellowship
Handshake AI seeks experienced energy estimation and solar design professionals for a part-time fellowship that feeds expert work into AI training data. You will produce cost estimates, plan reviews, and solar proposals with tools such as Bluebeam Revu, RSMeans, and Aurora Solar. The work runs as ongoing projects, so you can schedule tasks around a current job and complete them at your own pace. Each output helps build training environments for energy industry AI applications.
Handshake AI
VerifiedEnvironmental Analyst - Remote Part-Time
Handshake AI invites energy professionals into a fellowship that supports AI research through part-time, per-hour contract work. You review AI-generated answers and build training material tied to environmental assessment, GIS analysis, and renewable energy siting. Daily tools such as ArcGIS, Oracle MDM, and Aurora Solar inform how you judge accuracy, relevance, and geospatial data practices. The schedule stays remote and async, with no minimum hours, and most contributors put in 5 to 20 hours during an active project. This sits alongside other work because the engagement is project-based rather than a permanent role.
Handshake AI
VerifiedEnergy Professional - Remote AI Evaluation
Handshake AI hires energy specialists for project-based AI work, not a permanent role. You bring hands-on experience from oil and gas, power generation, utilities, renewables, or energy compliance and use it to judge AI-generated content. The job centers on reviewing model answers for accuracy and relevance, then explaining how real energy workflows operate in practice. No AI background is required. Work happens remote on an asynchronous schedule, with most contributors logging around 5 to 20 hours each week while a project is active.