Renewable Energy Engineer AI Evaluation Role

OpenTrain AI, Inc.; United States; Remote; USD 91,000 - 129,000; Part time

Job summary

OpenTrain AI, Inc. is seeking a Renewable Energy Engineer for an AI evaluation role. This fully remote, part-time contract focuses on microgrids, modeling, and asset performance, with flexible hours and USA-based engagement.

You will create expert training data and review AI-generated content for technical accuracy, while working asynchronously with AI research teams. Previous AI experience is not required.

Qualifications

• At least two years in renewable energy engineering, microgrid design, asset performance, or equivalent energy-industry role.
• Background includes microgrid engineering, renewable energy engineering, solar engineering, renewable energy modeling, digital twin engineering, or asset performance management.
• Hands-on experience with HOMER Pro, SAM, or GE Digital Twin.
• Strong written communication, attention to detail, and ability to work independently.

Responsibilities

• Create expert training data based on renewable energy engineering practice and daily-use tools.
• Evaluate AI-generated responses for technical accuracy and relevance.
• Give clear feedback to improve how AI systems understand renewable energy workflows and industry practices.
• Apply practical knowledge of renewable energy modeling, microgrid design, and asset performance analysis.

Skills

Strong written communication

Attention to detail

Ability to work independently

Education

Master's degree or PhD

Tools

HOMER Pro

SAM

GE Digital Twin

Job description

Renewable Energy Engineer AI Evaluation Role

Use renewable energy engineering expertise to create training data and evaluate AI-generated content for technical accuracy. This fully remote contract offers up to $80 per hour with a flexible schedule and work focused on microgrids, modeling, and asset performance.

Remote Hourly · $80/hr

$80/hr

Compensation

Contract, part-time

Engagement

Remote

Location

Posted

Open to applicants in

United States

The work

You will help improve AI systems by creating expert training data and reviewing AI-generated content against real renewable energy engineering practice. Your work will focus on whether responses are accurate, relevant, and useful in real engineering workflows.

You will work independently and asynchronously with AI research teams. Previous AI experience is not required.

• Create expert training data based on renewable energy engineering practice and daily-use tools.


• Evaluate AI-generated responses for technical accuracy and relevance.


• Give clear feedback to improve how AI systems understand renewable energy workflows and industry practices.


• Apply practical knowledge of renewable energy modeling, microgrid design, and asset performance analysis.

What it pays and takes

This is fully remote, part-time contract work for candidates in the United States. The schedule is flexible and asynchronous, with a 20+ hour weekly time requirement.

• Pay: up to $80 per hour.


• Location: United States; fully remote.


• Schedule: flexible, asynchronous work with a 20+ hour weekly requirement.


• Experience: at least two years in renewable energy engineering, microgrid design, asset performance, or an equivalent energy-industry role.


• Relevant backgrounds include microgrid engineering, renewable energy engineering, solar engineering, renewable energy modeling, digital twin engineering, or asset performance management.


• Tools: hands-on experience with at least one of HOMER Pro, SAM, or GE Digital Twin.


• Skills: strong written communication, attention to detail, and the ability to work independently.


• Previous AI experience is not required.

About AI training work

AI training is the human work behind better artificial intelligence. People create examples and review model responses so AI systems can produce more accurate, useful results, and professionals are paid for applying valuable subject knowledge to that work..

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