Meter Data Analyst - Remote AI Research Project
Listing checked September 18, 2026 · pay as published by Handshake AI
Overview
Handshake AI recruits energy industry specialists for project-based work that improves how AI systems handle utility data. You will use your background in utility metering, energy billing, and customer operations to review AI-generated responses and create reference examples. The role centers on tools you know from your work, including Oracle MDM, Oracle CC&B, SAP, and Power BI. Work happens remote and on your own schedule, with no minimum hours and most contributors putting in 5 to 20 hours per week during an active project. No prior AI experience is needed.
What You'll Do10
- 1Review AI-generated answers about utility metering, customer operations, and energy billing for factual accuracy.
- 2Create expert training examples that show correct utility workflows and customer data management.
- 3Evaluate AI output for relevance to energy industry tasks, including meter data analysis and billing processes.
- 4Flag errors, missing context, or flawed reasoning in AI responses.
- 5Apply hands-on knowledge of Oracle MDM, Oracle CC&B, SAP, or Power BI to judge whether AI content matches real system behavior.
- 6Write clear explanations that support your ratings and corrections.
- 7Follow project guidelines for style, scope, and data handling.
- 8Complete assigned review tasks within active project timelines.
- 9Coordinate with AI research teams through written updates and asynchronous channels.
- 10Contribute domain insight to improve model understanding of utility customer data.
Requirements7
- 1At least 2 years of professional experience in utility metering, customer operations, or a related energy function.
- 2Background in roles such as Meter Data Analyst, Customer Ops Analyst, Billing Analyst, Energy Accountant, or equivalent energy industry position.
- 3Hands-on experience with one or more of these tools: Oracle MDM, Oracle CC&B, SAP, Power BI.
- 4Strong written communication skills for explaining judgments and corrections.
- 5Attention to detail when checking data, billing records, and AI output.
- 6Ability to work on your own schedule and manage tasks without direct supervision.
- 7No previous AI experience required.
Who Should Apply
Energy professionals with at least two years in utility metering, customer operations, or energy billing will fit this project best. The role suits someone who has used Oracle MDM, Oracle CC&B, SAP, or Power BI in a real job and can explain how those systems work. Candidates who want a permanent full-time position, need constant team interaction, or have no energy industry background will find less value here. Applications often score low when the candidate lists energy tools but cannot show hands-on use, or when they lack the required two years in a relevant function. A clear writing sample that walks through a meter data or billing problem also helps separate strong applicants.
Salary Insight
The listing posts pay up to $85.00 per hour. That figure sits near the top of typical rates for project-based AI training work, and it matches an experienced energy specialist with direct utility metering or billing system knowledge. Pay is tied to active project hours, so your total depends on how many assignments you take. No other compensation details appear in the source.
Pay and demand for Machine Learning & AI roles
AggregatedTypical pay
$75/hour
This role
up to $85/hr
Most Machine Learning & AI roles pay $53–$100 per hour. This role's pay falls inside that range.
Based on 563 similar roles that publish pay · 98 publish only a top rate; those count at the rate they gave
Rates shown per hour. Yearly and monthly pay converted; one-time fees and non-USD pay are not included.
- Live similar roles
- 642
- Listed in last 30 days
- 291
- Remote
- 97%
Hiring most right now: micro1 (289) · Mercor (82) · SME Careers (64)
Most requested skills · share of roles
- python17%
- technical writing9%
- llm evaluation7%
- data annotation7%
Figures from Machine Learning & AI roles live on NearSkill when this page loaded. A role can close before you apply, so check the listing itself.
Compare your resume against these rolesLocation
Compensation
Up to $85/hr
Required Skills
Application Tip
Highlight the exact energy tools you have used hands-on, such as Oracle MDM, Oracle CC&B, SAP, or Power BI, and describe one project where you fixed a meter data or billing issue. Add numbers that prove your experience, like years in utility metering or the volume of customer accounts you handled. This detail helps reviewers match your profile to the project.
See NearSkill jobs more often in your search
Application & verification flow
1Instant rubric match
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.
Similar open positions
Explore active roles that match your skills and interests.
Handshake AI
VerifiedEnergy Billing Analyst - AI Training Project
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.
Handshake AI
VerifiedCustomer Ops Analyst - Remote Energy AI Fellowship
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.
Handshake AI
VerifiedEnergy Accountant - Remote Part-Time Fellowship
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.
Handshake AI
VerifiedEnergy Professional - Remote AI Evaluation
Handshake AI hires energy specialists for project-based AI work, not a permanent role. You bring hands-on experience from oil and gas, power generation, utilities, renewables, or energy compliance and use it to judge AI-generated content. The job centers on reviewing model answers for accuracy and relevance, then explaining how real energy workflows operate in practice. No AI background is required. Work happens remote on an asynchronous schedule, with most contributors logging around 5 to 20 hours each week while a project is active.
Handshake AI
VerifiedUtility Technician - Remote Part-Time Fellowship
Handshake AI seeks utility field professionals for project-based AI research work. You will apply hands-on experience with metering systems, distribution maintenance, and utility infrastructure to evaluate AI-generated material and produce expert training data. The role runs remote with an asynchronous schedule, and most contributors log 5 to 20 hours each week during active projects. No AI background is required. Your utility trade knowledge is the core qualification.
Handshake AI
VerifiedEnvironmental Analyst - Remote Part-Time
Handshake AI invites energy professionals into a fellowship that supports AI research through part-time, per-hour contract work. You review AI-generated answers and build training material tied to environmental assessment, GIS analysis, and renewable energy siting. Daily tools such as ArcGIS, Oracle MDM, and Aurora Solar inform how you judge accuracy, relevance, and geospatial data practices. The schedule stays remote and async, with no minimum hours, and most contributors put in 5 to 20 hours during an active project. This sits alongside other work because the engagement is project-based rather than a permanent role.