
Customer Ops Analyst - Remote Energy AI Fellowship
Listing checked October 20, 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 seeks energy industry professionals for per-hour contract work that improves how AI systems understand utility operations. You will apply your background in utility metering, customer operations, and energy billing systems to review AI-generated responses and create expert training examples. The project runs on a flexible, asynchronous schedule, and most contributors log about 5 to 20 hours per week when a project is active. You do not need prior AI experience. The fellowship continues project by project rather than as a traditional full-time role.
What You'll Do7
- Review AI-written answers about utility metering, customer operations, and energy billing for factual accuracy and relevance.
- Produce training examples that show how experienced analysts handle customer data and billing workflows.
- Score or critique model output using your hands-on knowledge of Oracle MDM, Oracle CC&B, SAP, or Power BI.
- Flag errors, missing context, and unrealistic steps in AI responses tied to energy industry processes.
- Document your reasoning in clear written feedback that AI research teams can act on.
- Work on an asynchronous schedule with AI researchers and meet project-specific deadlines when assigned.
- Apply your tool experience to shape reference material for model improvement.
Requirements6
- At least 2 years of professional experience in utility metering, customer operations, or a related energy function.
- Background in roles such as Meter Data Analyst, Customer Ops Analyst, Billing Analyst, or Energy Accountant.
- Hands-on use of at least one tool from this list: Oracle MDM, Oracle CC&B, SAP, or Power BI.
- Strong written communication skills with a detail-oriented approach to reviewing data and documentation.
- Ability to work on your own and coordinate with AI research teams on an asynchronous schedule.
- No prior AI experience needed.
Who Should Apply
The ideal candidate has spent at least two years in utility metering, customer operations, billing, or energy accounting and can point to everyday use of Oracle MDM, Oracle CC&B, SAP, or Power BI. You should enjoy writing clear explanations about data workflows and catching errors in AI-generated content. This role fits someone who wants project-based, asynchronous work alongside another job or study. Candidates often score low when they list energy experience without naming the tools they used or when their writing samples lack specific examples from metering or billing work. If you need guaranteed hours each week, set shifts, or a permanent position, this fellowship will not meet those expectations.
Salary Insight
Handshake AI lists compensation up to $85.00 per hour. The rate reflects the specialized energy operations background required, and because the schedule has no minimum hours, your total earnings depend on how many hours you log while a project is active. You can confirm pay details for specific projects during onboarding.
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 1,169 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%
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