
Renewable Energy Engineer (Remote, Part-Time)
Listing checked September 18, 2026 · pay as published by Handshake AI
Overview
Handshake AI hires experienced renewable energy and microgrid engineers for a fellowship-style, part-time contract that improves how AI models handle real engineering tasks. You will use your background in renewable energy modeling, microgrid design, or asset performance to create expert training questions and judge AI-generated answers. The project runs on an ongoing, flexible basis, so you can schedule tasks around your current job without a minimum hour requirement. Your written feedback helps models learn what accurate renewable energy engineering work looks like.
What You'll Do5
- 1Create expert-level training questions and scenarios that reflect real renewable energy and microgrid engineering workflows.
- 2Evaluate AI-generated responses for technical accuracy against established modeling and design practices.
- 3Write structured feedback that points out errors, missing context, and weak reasoning in model outputs.
- 4Use knowledge of HOMER Pro, SAM, or GE Digital Twin to ground scenarios in practical engineering decisions.
- 5Complete assigned tasks on your own schedule without a minimum hourly commitment.
Requirements5
- 1At least 2 years of professional experience in renewable energy engineering, microgrid design, or asset performance.
- 2Work history in a role such as Microgrid Engineer, Renewable Energy Engineer, Solar Engineer, or Digital Twin Engineer.
- 3Hands-on use of one or more tools: HOMER Pro, SAM, or GE Digital Twin.
- 4Strong written communication and close attention to detail.
- 5Ability to complete work in a remote, asynchronous setting with little direct supervision.
Who Should Apply
The ideal candidate brings at least two years of professional renewable energy or microgrid engineering experience and has used HOMER Pro, SAM, or GE Digital Twin in real projects. Engineers who can explain modeling choices and critique AI answers with clear technical reasoning will do well. The role fits people who want flexible, project-based work alongside another job, not someone seeking a permanent staff position with set hours. Candidates often score low when they list only academic coursework in renewable energy or when their feedback stays general and lacks specific engineering detail. If you have never applied the named tools at work, your fit is weak.
Salary Insight
The role pays $80.00 per hour. For part-time AI training work in specialized engineering fields, this rate sits at the high end for expert contributors and reflects the need for hands-on renewable energy and microgrid experience. Because the project is task-based, total earnings depend on how many tasks you complete and how many projects Handshake AI assigns.
Pay and demand for Energy & Power Generation roles
AggregatedTypical pay
$75/hour
This role
$80/hr
Most Energy & Power Generation roles pay $55–$100 per hour. This role's pay falls inside that range.
Based on 522 similar roles that publish pay · 91 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
- 580
- Listed in last 30 days
- 261
- Remote
- 97%
Hiring most right now: micro1 (264) · Mercor (80) · SME Careers (60)
Most requested skills · share of roles
- python17%
- technical writing9%
- llm evaluation8%
- data annotation7%
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
$80/hr
Required Skills
Application Tip
Lead with your hands-on tool use. Name the exact platforms you have worked with, such as HOMER Pro, SAM, or GE Digital Twin, and describe one real microgrid or renewable asset project where you built or reviewed a model. Quantify the system size, generation mix, or performance outcome when possible, because reviewers look for practical engineering depth and clear written analysis.
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
VerifiedRenewable Energy Markets Analyst - Remote
Handshake AI hires renewable energy and environmental markets professionals for part-time contract work that supports AI research. You will produce expert outputs such as renewable generation performance reports, forecast models, and REC verification records. The work runs as an ongoing fellowship with no fixed schedule or minimum hours, so you can fit tasks around your current role. Tasks rely on tools like WREGIS and AVEVA PI, and your completed work becomes part of AI training data for energy industry 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 Project Engineer - Remote Part-Time
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.

Handshake AI
VerifiedPower Systems Engineer - Remote Part-Time
Handshake AI hires experienced power systems engineers for a part-time fellowship that supports AI research. The work centers on judging AI-generated answers in areas such as microgrids, high-voltage equipment, and protection and control. You design realistic engineering problems and assess calculations, assumptions, and recommendations for technical accuracy and safety. The project runs on an ongoing basis, so you set your own hours and complete tasks at your own pace.

Handshake AI
VerifiedReliability Engineer - Remote Energy AI Project
Handshake AI seeks energy professionals to join a remote, part-time fellowship that brings real operations knowledge into AI research. You review AI-generated answers, flag errors, and craft expert training data using your own experience with plant performance, industrial operations, or energy asset management. The schedule is async, and most contributors log 5 to 20 hours per week during active projects. You do not need prior AI experience. The project runs as long as client needs continue, and strong contributors may get picked for later assignments.

Handshake AI
VerifiedEnergy Auditor - Remote AI Content Review
Handshake AI seeks experienced building energy and auditing professionals for a fellowship built around part-time contract work that supports AI research. You will use your background in building energy modeling, energy auditing, and performance benchmarking to test AI-generated answers against real-world workflows. The project keeps going, so you can keep your current job and contribute on your own schedule. Your feedback helps models grasp how audits, modeling runs, and benchmarks work in practice.


