About The Position

Handshake is recruiting First-Line Production and Operating Worker Supervisor Professionals to contribute to an hourly, temporary AI research project—but there’s no AI experience needed. In this program, you’ll leverage your professional experience to evaluate what AI models produce in your field, assess content related to your field of work, and deliver clear, structured feedback that strengthens the model’s understanding of your workplace tasks and language. The Handshake AI opportunity runs year-round, with project opportunities opening periodically across different areas of expertise. Details The position is remote and asynchronous; work independently from wherever you are. The hours are flexible, with no minimum commitment, but most average 5-20 hrs The work includes developing prompts for AI models that reflect your field, and then evaluating responses. You’ll learn new skills and contribute to how AI is used in your field Your placement into a project will be dependent on project availability—if you apply now and can’t work on this project, more will be available soon. Your real-world expertise will help train AI tools designed to upskill—not replace—the next generation of skilled trade workers.

Requirements

  • You have at least 4 years of professional experience in one or more of the following types of work.
  • The examples below reflect the types of real-world responsibilities that you might have had in your role that will give you the context needed to evaluate and train high-quality AI models
  • Supervise and coordinate the activities of production workers, ensuring compliance with safety and sanitation regulations while maintaining detailed records of attendance and hours worked.
  • Inspect materials and equipment for defects, analyze production data to meet goals, and collaborate with other supervisors to optimize operations and resolve worker issues.
  • You’re able to participate in asynchronous work in partnership with leading AI labs.

Responsibilities

  • Evaluate what AI models produce in your field
  • Assess content related to your field of work
  • Deliver clear, structured feedback that strengthens the model’s understanding of your workplace tasks and language
  • Develop prompts for AI models that reflect your field
  • Evaluate responses
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