Well Cost Analyst for AI Training

You will help improve AI systems that handle drilling operations, well planning, and energy data systems. The work uses your professional judgment to assess whether AI-generated content is accurate, relevant, and useful.

The listing focuses on drilling operations AI review. Review the stated duties and qualifications before applying to confirm they match your experience.

• Create expert-level training data using experience in drilling, completions, well planning, or related energy operations.
• Review AI-generated responses for accuracy and relevance in drilling workflows and energy data systems.
• Write clear feedback that helps AI handle energy industry practices and operational concepts.
• Work independently in an asynchronous setting.

What it pays and takes

This is ongoing, project-based contract work that can be completed remotely alongside other commitments. The role is open to candidates in the United States and requires professional fluency in English.

• Pay: Up to $85 per hour.
• Work setting: Remote and asynchronous, with flexible participation.
• Experience: At least two years in drilling, completions, or related energy operations.
• Background: Drilling engineer, completions engineer, well cost analyst, drilling superintendent, or equivalent energy professional.
• Tools: Hands-on experience with one or more of WellView, SAP, ComboCurve, and AVEVA PI.
• Skills: Strong written communication, attention to detail, and the ability to work independently.

How it works

OpenTrain is where people find AI training and data-labeling work, which helps build AI systems using human-created examples and reviews. To apply for this role, submit your resume on OpenTrain and then complete the application on the hiring site.

• Apply on OpenTrain with your resume.
• Continue the application on the hiring site.

About AI training work

AI training is the human work behind systems that generate and evaluate text, answers, and other content. Experienced professionals are paid to judge technical responses because their industry knowledge helps make AI outputs more accurate and useful.