Remote Utility Technician - AI Training Evaluator (Part-Time)

OpenTrain AI, Inc.; United States; Remote; USD 97,000 - 138,000; Part time

Job summary

OpenTrain AI, Inc. is seeking a Utility Technician AI Response Evaluator to join our remote, part-time contractor team in the United States. Bring four years in utility field operations and a knack for clear written feedback to help improve real-world technician workflows.

You will create training data, evaluate AI-generated responses for accuracy and relevance, and review utility content against practical practices. No AI-labeling experience required, just solid field expertise.

Qualifications

• At least four years in utility field operations, metering, or infrastructure maintenance.
• Hands-on experience with meter installation and testing, distribution maintenance, outage response, or substation operations.
• Familiarity with AMI platforms, SCADA, Oracle MDM, IBM Maximo, or ArcGIS.
• Strong written communication and ability to work independently in a remote, asynchronous setting.
• Prior AI or data-labeling experience is not required.

Responsibilities

• Create training data based on utility field experience and operational tools.
• Evaluate AI-generated responses for technical accuracy, relevance, and alignment with real utility practices.
• Apply knowledge of meter installation and testing, distribution maintenance, outage response, or substation operations.
• Give clear written feedback and review utility-related content carefully.

Skills

Utility field experience

Strong written communication

Independent remote work

AMI platforms familiarity

SCADA familiarity

Geospatial tools familiarity

Tools

AMI platforms

SCADA

Oracle MDM

IBM Maximo

ArcGIS

Job description

OpenTrain AI, Inc. is seeking a Utility Technician AI Response Evaluator to join our remote, part-time contractor team in the United States. Bring four years in utility field operations and a knack for clear written feedback to help improve real-world technician workflows.

You will create training data, evaluate AI-generated responses for accuracy and relevance, and review utility content against practical practices. No AI-labeling experience required, just solid field expertise.