Reservoir Engineer

Up to $80/hr (varies by project) Apply now
  • Company: Handshake AI
  • Location: Remote
  • Type: Part-time · Flexible hours
  • Compensation: Up to $80/hr (varies by project)
  • Experience: Senior Level

About This Listing

AI Training Jobs curates remote AI training, evaluation, and expert annotation roles from vetted hiring platforms. This listing covers a part-time · flexible hours Reservoir Engineer role with Handshake AI (Remote). Listed compensation: Up to $80/hr (varies by project). Requirements and responsibilities below are summarized from the employer’s public listing; apply through the official link.

Position Summary

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 reservoir engineering, subsurface analysis, and production operations to evaluate AI-generated content and provide feedback that helps AI better understand subsurface workflows and reservoir engineering practices. This is an ongoing, project-based opportunity you can take on alongside anything else you have going on.

Core Responsibilities

  • 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.

Qualifications

  • Eligible degree levels: Bachelor's, Master's, Ph.D's, and Postdocs.
  • At least 2 years of professional experience in reservoir engineering, subsurface analysis, or production operations, in roles such as: Reservoir Engineer or Petrophysicist, Production Engineer or Reserves Analyst, Or equivalent roles in the energy industry.
  • Hands-on experience with one or more of the following tools: Spotfire, CMG, MBAL, FracPro, PVTi, WellView, Petrel.
  • Strong written communication skills, attention to detail, and the ability to work independently and asynchronously with AI research teams.

Details

  • 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.

Application Process

  • Sign up and create an account.
  • Verify your identity.
  • Join and onboard into relevant projects.
  • Start working and earning.

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