Energy Accountant - Remote Part-Time Fellowship
Listing checked October 17, 2026 · pay as published by Handshake AI
Key details
- Pay
- Up to $85/hr
- Location
- RemoteUnited States
- Job type
- Part-Time
- Posted
- April 25, 2026
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
- Review AI-generated responses about utility metering, billing, and customer operations for factual accuracy.
- Compare model output with real industry practice and point out errors in tariffs, meter data, or account handling.
- Write clear reference answers and examples that show how energy accountants and analysts solve common problems.
- Label training data with correct terms from Oracle MDM, Oracle CC&B, SAP, and Power BI workflows.
- Score AI answers on relevance, completeness, and alignment with utility customer data management rules.
- Document feedback in written form so AI research teams can follow the reasoning behind each correction.
- Provide expert context on billing analyst and energy accountant tasks that models often misread.
Requirements6
- At least 2 years of hands-on work in utility metering, customer operations, or a related energy function.
- Background as a Meter Data Analyst, Customer Ops Analyst, Billing Analyst, Energy Accountant, or similar energy role.
- Direct use of one or more tools: Oracle MDM, Oracle CC&B, SAP, or Power BI.
- Clear writing skills and a sharp eye for detail when checking numbers, terms, and billing logic.
- Able to work on your own with remote AI research teams and manage tasks across time zones.
- No 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.
Pay and demand for AI Training roles
Market estimates from live NearSkill listings — separate from this job's published terms.
This role · as published
Up to $85/hr
Taken from the listing itself.
Typical pay · estimated
$68/hour
Median of 1,161 similar roles that publish pay · 299 publish only a top rate; those count at the rate they gave
Most AI Training roles pay $38–$95 per hour. This role's pay falls inside that range.
Rates shown per hour. Yearly and monthly pay converted; one-time fees and non-USD pay are not included.
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Most requested skills · share of roles
- ai evaluation15%
- llm evaluation13%
- data annotation13%
- ai training13%
Figures from AI Training roles live on NearSkill when this page loaded. A role can close before you apply, so check the listing itself.
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