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Energy Industry Professional for AI Training

Up to $85/hr (depending on the project)

RemotePart-timetechnology
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About this role

Role Overview

Energy Accountants use their utility billing, metering, and customer operations expertise to evaluate AI-generated outputs and develop expert training data that reflect real utility workflows and customer data management practices. This is project-based, hourly contract work you can perform remotely alongside other commitments.

Key Responsibilities
  • Evaluate AI-generated responses for accuracy, relevance, and alignment with utility workflows.
  • Create expert-level training data based on hands-on knowledge of metering, billing, and customer operations.
  • Provide clear, written feedback and examples that help AI systems better represent utility processes and customer data management.
Qualifications
  • At least 2 years of professional experience in utility metering, customer operations, or related energy functions.
  • Relevant roles include Meter Data Analyst, Customer Ops Analyst, Billing Analyst, Energy Accountant, or equivalent positions in the energy industry.
  • Hands-on experience with one or more of the following tools: Oracle MDM, Oracle CC&B, SAP, Power BI.
  • Strong written communication skills, attention to detail, and the ability to work independently and asynchronously with research teams.
  • No prior AI experience required.
Work Terms
  • Engagement type, part time, hourly contract.
  • Fully remote, flexible asynchronous schedule with no minimum hour requirement.
  • Typical contributor commitment when participating in an active project is about 5 to 20 hours per week.
  • Placement on projects depends on current project needs, with consideration for future projects as they become available.
Compensation

Up to $85/hr (depending on the project)

Application Process
  • Create a profile and complete the initial registration steps.
  • Verify your identity as part of eligibility confirmation.
  • Complete onboarding for projects that match your background and skills.
  • Accept tasks for active projects, submit evaluations and training data, and begin earning for completed work.

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