You will help improve AI systems used in utility workflows. The work involves reviewing AI-generated content, creating training examples, and explaining whether responses are accurate and relevant.
You will work independently and asynchronously, using practical knowledge of utility metering, energy billing, customer operations, and customer data management.
- Evaluate AI-generated content and responses for accuracy and relevance in utility workflows.
- Create expert-level training data based on energy operations and billing practices.
- Write clear feedback about utility metering, billing systems, and customer data management.
- Assess practical workflows and responses using relevant enterprise or analytics tools.
- Work independently with careful attention to detail.
What it pays and takes
This is fully remote, flexible contract work for candidates in the United States. No prior AI experience is required.
- Pay: Up to $85 per hour.
- Hours: No minimum; contributors typically work about 5 to 20 hours per week during an active project.
- Location: Open to candidates in the United States.
- Language: Professional fluency in English.
- Experience: At least two years in utility metering, customer operations, energy billing, energy accounting, or a related energy function.
- Relevant backgrounds include Meter Data Analyst, Customer Ops Analyst, Billing Analyst, Energy Accountant, or an equivalent energy-industry role.
- Tools: Hands-on experience with one or more of Oracle MDM, Oracle CC&B, SAP, or Power BI.
- Skills: Strong written communication and the ability to judge and explain whether AI responses are accurate and relevant.
How it works
Apply on OpenTrain with your resume, then complete the application on the hiring site.
About AI training work
AI training is the human work behind systems that learn from examples, including reviewing responses and giving feedback. People with professional experience are valuable because they can judge whether AI outputs match real-world practices and standards.