Handshake AI
Handshake AIVerified listing
Remote

Renewable Energy Engineer (Remote, Part-Time)

80/hr
Remote
Posted September 18, 2026
Part-Time
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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

Aggregated

Typical 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

Typical rangeMedian payThis role

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

  • python
    17%
  • technical writing
    9%
  • llm evaluation
    8%
  • data annotation
    7%

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.

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Location

Typeremote
LocationRemote
Eligible countriesUnited States
This is a remote position

Compensation

$80/hr

Required Skills

renewable energy engineeringmicrogrid designasset performance analysishomer prosamge digital twinsolar engineeringdigital twin engineeringrenewable energy modelingai model evaluationtechnical writingenergy modeling

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.

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