Quantitative Finance Researcher
Build and review expert quantitative finance research tasks used to train and evaluate frontier AI models.
$85/hr
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.
Qualifications
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.
Sourced from Handshake AI · original listing · application link last checked 24 Aug 2026
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