Energy Professional AI Training Evaluator

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

Job summary

OpenTrain AI, Inc. seeks an Energy Professional AI Training Evaluator to leverage real energy industry knowledge in creating training data and assessing AI responses for accuracy and relevance.

This remote, part-time role requires 4+ years in energy sectors such as reservoir, utility, renewable, or regulatory work. The position offers 20+ hours per week, pay up to $80 per hour, and requires professional fluency in English and the ability to work independently in a flexible schedule across the

Qualifications

• Four or more years of professional energy industry experience.
• Ability to evaluate AI-generated content for accuracy and relevance.
• Excellent written communication and attention to detail.
• Comfort working independently in a remote, asynchronous environment.

Responsibilities

• Create expert training data using energy tools, workflows, and professional experience.
• Evaluate AI-generated responses for accuracy, relevance, and real-world energy practices.
• Use professional judgment on reservoir simulation, AFE preparation, meter data validation, and load forecasting.
• Review energy workflows such as emissions reporting, rate cases, and renewable generation forecasting.
• Write clear feedback and maintain high attention to detail while working remotely.

Skills

Energy domain expertise

Independent remote work

Strong written communication

Professional judgment

Tools

Reservoir simulation

AFE preparation

Meter data validation

Load forecasting

Job description

Energy Professional AI Training Evaluator

Use professional energy experience to create training data and evaluate AI-generated responses for accuracy across real industry workflows. This remote opportunity pays up to $80 per hour and is open to candidates in the United States.

Remote Hourly · $80/hr

$80/hr

Compensation

Contract, part-time

Engagement

Remote

Location

Posted

Open to applicants in

United States

The work

You will use practical energy industry knowledge to create training data, review AI-generated content, and explain whether responses are accurate, relevant, and aligned with real-world practice. The work is remote and can draw on energy engineering, utility, renewable, regulatory, market, and operational experience.

• Create expert training data using energy tools, workflows, and professional experience.
• Evaluate AI-generated responses for accuracy, relevance, and real-world energy practices.
• Use professional judgment on reservoir simulation, AFE preparation, meter data validation, and load forecasting.
• Review workflows involving emissions reporting, predictive maintenance, rate case filing, and renewable generation forecasting.
• Write clear feedback, work independently, and maintain close attention to detail.

What it pays and takes

This is ongoing, project-based contract work that can be completed alongside other commitments.

• Pay: Up to $80 per hour.
• Work arrangement: Part-time contract work with a flexible, asynchronous schedule.
• Time requirement: 20+ hours per week.
• Location: Remote work open to candidates in the United States.
• Language: Professional fluency in English.
• Experience: At least four years of professional energy industry experience.
• Relevant backgrounds include reservoir, drilling, production, plant performance, reliability, utility, regulatory, renewable generation, environmental, power market, electrical, and field service work.
• Skills: Hands-on familiarity with energy workflows, tools, or operating practices, plus strong written communication and careful judgment.
• Work style: Ability to work independently in a remote, asynchronous environment.

About AI training work

OpenTrain helps people find and build careers in AI training and data labeling. AI training work uses human expertise to create examples and review model responses, so professionals with real industry knowledge can help AI systems produce more accurate and useful results.