Energy Industry Professional for AI Training

Customer Ops Analysts apply hands-on utility metering, customer operations, and energy billing system expertise to evaluate AI-generated content and produce expert training data that improves AI understanding of utility workflows and customer data management.

• Use your practical experience with utility metering, customer operations, and billing systems to review AI-generated responses for accuracy and relevance.
• Create expert-level training data and annotations based on real-world workflows and customer data practices.
• Provide clear, written feedback that helps research teams refine AI behavior and knowledge about utility operations.
• Work independently and asynchronously to meet project-specific guidance and quality standards.

• At least 2 years of professional experience in utility metering, customer operations, or related energy functions.
• Relevant roles include, but are not limited to, Meter Data Analyst, Customer Ops Analyst, Billing Analyst, or Energy Accountant, or equivalent positions within the energy industry.
• Hands-on experience with one or more of the following systems: Oracle MDM, Oracle CC&B, SAP, Power BI.
• Strong written communication skills, attention to detail, and the ability to work independently and asynchronously with research teams.
• No prior AI experience required.

• Part-time, hourly contract work with flexible, asynchronous scheduling.
• Fully remote, allowing you to participate alongside other commitments.
• No minimum hour requirement; most contributors work approximately 5 to 20 hours per week when assigned to an active project.
• Placement and active assignments depend on current project needs, with opportunities to be considered for future projects as they become available.

• Up to $85/hr (depending on the project).

• You must have the professional experience described in Qualifications to be considered.
• Application process overview: create an account on the engagement portal, complete identity verification, join onboarding for projects that match your background, then begin participating in assigned projects and earning for completed work.
• Because assignments are project-based, acceptance into an initial project does not guarantee continuous work, but you may be considered for additional projects over time.