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Handshake AI is seeking experienced energy industry professionals to support AI research through flexible, hourly contracts. This is an ongoing, project-based opportunity to contribute hands-on expertise in industrial operations, plant performance, and energy asset management.
You'll evaluate AI-generated content for accuracy and relevance, helping AI understand workflows and performance engineering practices, with a fully remote, asynchronous schedule.
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 industrial operations, plant performance, and energy asset management to evaluate AI-generated content and provide feedback that helps AI better understand operations workflows and performance engineering practices.
This is an ongoing, project-based opportunity you can take on alongside anything else you have going on.
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.
At least 2 years of professional experience in industrial operations, plant performance, or energy asset management, in roles such as:
Plant Performance Engineer or Reliability Engineer
SCADA Engineer or Drilling/Production Engineer
Generation Asset Analyst
Or equivalent roles in the energy industry
Hands-on experience with one or more of the following tools:
AVEVA PI
WinCC
Oracle MDM
Power BI
Bloomberg Terminal
Strong written communication skills, attention to detail, and the ability to work independently and asynchronously with AI research teams.