Handshake is seeking energy industry professionals to support AI research through flexible, hourly contract work. The role involves evaluating AI-generated content and providing feedback to improve AI understanding of operations workflows. At least 2 years of professional experience in industrial operations, plant performance, or energy asset management is required.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Job Description
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 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.
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.
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- 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.
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