Reservoir Engineer for AI Training

Create expert training data and review AI-generated content using your knowledge of reservoir engineering, subsurface analysis, and production operations.

• Judge AI responses for technical accuracy and relevance.
• Write clear feedback on technical content and its treatment of subsurface practices.
• Use your knowledge of engineering tools and everyday workflows to assess AI responses.
• Work independently and asynchronously with careful attention to detail.

What it pays and takes

• Pay: Up to $80 per hour.
• Work structure: Remote, project-based contract work with a flexible, asynchronous schedule.
• Typical workload: About 5 to 20 hours per week when participating in an active project.
• Location: Open to candidates in the United States.
• Background: Professional experience in reservoir engineering, subsurface analysis, production operations, or a related energy-industry role.
• Relevant roles include Reservoir Engineer, Petrophysicist, Production Engineer, or Reserves Analyst.
• Hands-on experience with at least one relevant tool, such as Spotfire, CMG, MBAL, FracPro, PVTi, WellView, or Petrel.
• Strong written communication, clear technical judgment, attention to detail, and the ability to work independently.
• Experience with several reservoir, production, petrophysics, or subsurface-analysis tools is helpful. Prior AI experience is not required.

How it works

Apply on OpenTrain with your resume, then complete the application on the hiring site.

About AI training work

AI training work involves creating and reviewing examples that help AI systems learn. Experienced professionals are paid to apply their field knowledge and judge whether AI responses are accurate and useful.