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AI training & evaluation

Maintenance Planner

Handshake AI

You’ll draw on your hands-on experience with asset management, maintenance planning, and grid operations to evaluate AI-generated content and provide feedback that helps AI better understand maintenance…

Work arrangement & location
Remote

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Hours
5–20 hours per week

Employer description and requirements

Overview

Handshake is looking for energy industry professionals to support AI research through flexible, hourly contract work. This is not a traditional job. You’ll draw on your hands-on experience with asset management, maintenance planning, and grid operations to evaluate AI-generated content and provide feedback that helps AI better understand maintenance workflows and reliability engineering practices.

This is an ongoing, project-based opportunity you can take on alongside anything else you have going on.

Details

  • This project involves using your professional experience and hands-on knowledge of the tools you use in your daily work to create expert-level training data and evaluate AI-generated responses for accuracy and relevance. No prior AI experience required.
  • Fully remote with a flexible, asynchronous schedule and no minimum hour requirement; most contributors work approximately 5–20 hours per week when participating in an active project.
  • Placement depends on current project needs, with opportunities to be considered for future projects as they become available.

Qualifications

  • At least 2 years of professional experience in asset management, maintenance reliability, or grid operations, in roles such as:
    • Maintenance Planner or Reliability Engineer
    • Outage Coordinator or Distribution Ops Analyst
    • Or equivalent roles in the energy industry
  • Hands-on experience with one or more of the following tools:
    • IBM Maximo
    • Oracle OMS
    • AVEVA PI
    • ArcGIS
  • Strong written communication skills, attention to detail, and the ability to work independently and asynchronously with AI research teams.