
Energy Billing Analyst - AI Training Project
Listing checked September 18, 2026 · pay as published by Handshake AI
Overview
Handshake AI hires energy industry professionals for project-based AI research work. You will use your background in utility metering, energy billing, and customer operations to review AI-generated answers and build expert training data. The project needs no prior AI experience. You choose your hours on a remote, async schedule, and most contributors log about 5 to 20 hours per week when a project is active. Placement follows current project needs, with chances to join future work.
What You'll Do6
- 1Review AI-written responses about utility billing, meter data, and account management, then mark errors and missing context.
- 2Create reference examples that show how Oracle MDM, Oracle CC&B, SAP, and Power BI support routine energy workflows.
- 3Score AI output for accuracy against real billing rules, rate structures, and customer data practices.
- 4Write clear feedback that explains why an answer fails or passes for energy industry use.
- 5Flag gaps in AI understanding of meter-to-cash processes and customer operations tasks.
- 6Work through assigned evaluation tasks on your own schedule and submit them by project deadlines.
Requirements5
- 1At least 2 years of professional experience in utility metering, customer operations, or a related energy function.
- 2Background in a role such as Meter Data Analyst, Customer Ops Analyst, Billing Analyst, Energy Accountant, or an equivalent energy industry position.
- 3Hands-on use of at least one tool: Oracle MDM, Oracle CC&B, SAP, or Power BI.
- 4Strong written communication that turns technical billing details into precise evaluation notes.
- 5Attention to detail and the ability to work on your own with AI research teams.
Who Should Apply
Energy billing and meter data specialists with at least two years in utility metering or customer operations will fit this project best. You may know Oracle CC&B, SAP, or Power BI from real billing cycles, account reviews, or meter data tasks, and you can explain those workflows in writing. The role suits people who want part-time, remote project work alongside another job or study. Candidates without direct utility billing or customer ops experience often score low. Reviewers often reject applications that list tools only as coursework or general familiarity. A weak written sample or vague examples of your billing work also hurt your fit.
Salary Insight
Handshake AI lists pay up to $85.00 per hour for this fellowship. That rate sits near the top of part-time AI training work and fits specialists who bring direct experience with Oracle MDM, Oracle CC&B, or SAP. Actual project hours vary, and the source does not promise a set amount each week.
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Most Machine Learning & AI roles pay $55–$100 per hour. This role's pay falls inside that range.
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Compensation
Up to $85/hr
Required Skills
Application Tip
Lead with the exact systems you touch at work. Name Oracle MDM, Oracle CC&B, SAP, and Power BI where true, then add one concrete billing or meter data problem you solved and how you documented it. A short writing sample that shows precise error spotting can raise your fit score more than a general resume summary.
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Your resume is scanned against this role’s requirements to check qualification fit.
2Screened before the employer sees it
Only profiles that clear screening are passed on.
3Outcome by email
We notify you at the address on your resume once the screening is reviewed.
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