Energy Accountant - Remote Part-Time Fellowship
Listing checked September 18, 2026 · pay as published by Handshake AI
Overview
Handshake AI invites energy professionals to join a flexible, hourly fellowship that improves how AI systems handle utility workflows and customer data. You'll apply firsthand knowledge of utility metering, customer operations, and energy billing systems to review AI-generated answers, flag mistakes, and craft expert training data. Projects run alongside your other commitments, with a remote async schedule and no minimum hours. Most contributors put in around 5 to 20 hours each week while a project is active. No AI background is needed, only real energy industry experience.
What You'll Do7
- 1Review AI-generated responses about utility metering, billing, and customer operations for factual accuracy.
- 2Compare model output with real industry practice and point out errors in tariffs, meter data, or account handling.
- 3Write clear reference answers and examples that show how energy accountants and analysts solve common problems.
- 4Label training data with correct terms from Oracle MDM, Oracle CC&B, SAP, and Power BI workflows.
- 5Score AI answers on relevance, completeness, and alignment with utility customer data management rules.
- 6Document feedback in written form so AI research teams can follow the reasoning behind each correction.
- 7Provide expert context on billing analyst and energy accountant tasks that models often misread.
Requirements6
- 1At least 2 years of hands-on work in utility metering, customer operations, or a related energy function.
- 2Background as a Meter Data Analyst, Customer Ops Analyst, Billing Analyst, Energy Accountant, or similar energy role.
- 3Direct use of one or more tools: Oracle MDM, Oracle CC&B, SAP, or Power BI.
- 4Clear writing skills and a sharp eye for detail when checking numbers, terms, and billing logic.
- 5Able to work on your own with remote AI research teams and manage tasks across time zones.
- 6No prior AI or machine learning experience needed.
Who Should Apply
The best fit is an energy professional with at least two years in utility metering, customer operations, billing, or energy accounting. You have used Oracle MDM, Oracle CC&B, SAP, or Power BI in daily work and can explain how those systems support customer data and billing tasks. Strong written feedback matters because AI research teams rely on your notes to correct model output. This role suits people who want project work on the side, not a full-time schedule or a structured office routine. Candidates often score lower when they have general finance experience but no utility metering or customer ops background, or when they name tools without showing real hands-on use. Another common miss is weak written detail: short comments with no examples of billing logic, meter data, or account handling.
Salary Insight
Pay reaches $85.00 per hour, and the rate depends on the project and your fit rather than a fixed annual salary. For part-time, project-based AI training work in specialized energy domains, that upper bound sits above many general data annotation rates and matches the premium placed on professionals who know utility billing and metering systems. The listing does not mention benefits or a full-time commitment, which fits the hourly project model.
Location
Compensation
Up to $85/hr
Required Skills
Application Tip
In your application, name the exact energy systems you have used, such as Oracle MDM, Oracle CC&B, SAP, or Power BI, and add one or two examples of billing, meter data, or customer ops work you handled. Quantify your experience, for example three years in utility metering or a portfolio of accounts in Oracle CC&B, because reviewers screen for direct tool use and at least two years in the domain. A short writing sample that explains a billing correction or meter data issue can also show the feedback quality this project needs.
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2Screened before the employer sees it
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3Outcome by email
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