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Meter Data Analyst (Energy Billing)

Use your utility metering, energy billing, and customer operations experience to create AI training data and review model responses. This remote, flexible contract role pays up to $85 per hour.

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OpenTrain AI

Generative AI & RLHF

Remote Hourly · $85/hr

$85/hr

Compensation

Contract, part-time

Engagement

Remote

Location

Nov 7, 2026

Posted

Open to applicants in

United States

The work

You will help improve AI systems by creating training data based on real utility metering, billing, and customer operations work. You will also review AI-generated responses and give clear written feedback.

The work is independent and asynchronous. Projects become available over time, so you may contribute alongside other commitments.

  • Create expert training data based on utility metering, billing, and customer operations workflows.
  • Review AI-generated content for accuracy, relevance, and fit with real energy industry practices.
  • Use workplace tools and utility processes to provide practical written feedback.
  • Work independently on active AI training projects.

What it pays and takes

The work is fully remote and flexible.

  • Pay: Up to $85 per hour.
  • Work type: Part-time contract work.
  • Time: 20+ hours per week.
  • Location: Open to candidates in the United States.
  • Language: Professional fluency in English.
  • Experience: At least two years in utility metering, customer operations, energy billing, energy accounting, or a related energy function.
  • Relevant backgrounds include Meter Data Analyst, Customer Operations Analyst, Billing Analyst, Energy Accountant, or an equivalent energy industry role.
  • Tools: Hands-on experience with one or more of Oracle MDM, Oracle CC&B, SAP, or Power BI.
  • Strong written communication, attention to detail, and ability to work independently.
  • Previous AI experience is not required.

How it works

Apply on OpenTrain with your resume, then complete the application on the hiring site.

About AI training work

AI training work uses human judgment to create examples and review AI responses so models become more accurate and useful. People with practical industry experience are paid to help assess whether AI output matches real workplace standards.

Requirements

  • Languages: English

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