Production Engineer AI Training Evaluator

You will help improve AI systems used in subsurface workflows and reservoir engineering. The work involves applying practical energy-industry judgment to written AI responses and training data.

You will work independently and asynchronously, with careful attention to technical accuracy and clear written explanations.

• Review AI-generated responses about reservoir engineering, subsurface analysis, and production operations.
• Check whether responses reflect practical energy-industry workflows and technical knowledge.
• Create expert-level training data using your professional experience and familiarity with industry tools.
• Write feedback that identifies inaccuracies, missing information, and ways to improve AI-generated content.

What it pays and takes

This is an ongoing, project-based opportunity for independent contributors. The role is remote and open to candidates in the United States.

• Pay: Up to $85 per hour.
• Schedule: 20+ hours per week, with flexible asynchronous work.
• Location: Open to candidates in the United States.
• Language: Fluent in English.
• Experience: At least two years in reservoir engineering, subsurface analysis, production operations, or a comparable energy-industry role.
• Relevant backgrounds include Reservoir Engineer, Petrophysicist, Production Engineer, Reserves Analyst, or a similar position.
• Tools: Hands-on experience with one or more of Petrel, ARIES, Techlog, Avocet, and AVEVA PI.
• Skills: Strong written communication, clear technical judgment, independence, and careful attention to detail.

How it works

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

About AI training work

AI training is the human work behind systems that generate and evaluate content. Contributors review model outputs, create useful examples, and explain what is accurate or incorrect so AI systems can improve; professional expertise matters because it helps models handle specialized subjects more reliably.