Drilling/Production Engineer AI Evaluation

You will create training material and review AI-generated responses related to industrial operations, plant performance, and energy asset management. Your feedback will help assess whether technical content is accurate, relevant, and grounded in real operational workflows.

Before applying, review the duties and qualifications to make sure they match your experience as a Drilling/Production Engineer or in a related energy operations role.

• Create expert training data based on practical energy and industrial operations experience.
• Evaluate AI-generated responses for accuracy and relevance.
• Give clear feedback based on real-world workflows, plant performance, and energy asset management.
• Work independently and asynchronously with careful attention to detail and strong written communication.

What it pays and takes

This is a fully remote, part-time contractor role for candidates in the United States. Participation is flexible and project-based.

• Pay: up to $85 per hour.
• Time: 20 or more hours per week.
• Schedule: flexible and asynchronous, with no minimum hour requirement.
• Location: open to candidates in the United States.
• Language: professional fluency in English.
• Experience: at least two years in industrial operations, plant performance, energy asset management, or a related energy-industry role.
• Relevant backgrounds include Plant Performance Engineer, Reliability Engineer, SCADA Engineer, Drilling/Production Engineer, and Generation Asset Analyst.
• Tools: hands-on experience with one or more of AVEVA PI, WinCC, Oracle MDM, Power BI, or Bloomberg Terminal.
• Skills: strong written communication and the ability to assess technical content for accuracy and relevance.
• AI experience: no prior AI experience is required.

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 understand text, images, audio, and code. Experienced professionals help by creating examples and checking AI responses against the standards of their field.