Drilling Superintendent for AI Model Evaluation

Drilling Superintendents apply hands-on drilling and well planning expertise to evaluate AI-generated drilling content and produce expert training data that improves AI understanding of drilling workflows, well operations, and energy data systems. This is a project-based, flexible engagement you can perform alongside other commitments.

• Use field and operational experience with drilling and completions to review AI-generated responses for technical accuracy and practical relevance.
• Create expert-level training examples and annotations that reflect real drilling workflows, well planning decisions, and equipment use.
• Provide detailed feedback on model outputs to help AI systems better represent drilling procedures and energy industry practices.
• Work independently, delivering clear written assessments and corrections to AI research teams in an asynchronous format.

• Minimum 2 years of professional experience in drilling, completions, or related energy operations.
• Relevant roles include Drilling Engineer, Completions Engineer, Well Cost Analyst, Drilling Superintendent, or equivalent positions in the energy sector.
• Hands-on experience with one or more of the following tools: WellView, SAP, ComboCurve, AVEVA PI.
• Strong written communication skills, high attention to detail, and the ability to work independently and asynchronously with distributed teams.
• No prior AI or machine learning experience required; practical industry experience is the primary qualification.

• Location: Fully remote.
• Employment type: Part time, project-based engagement.
• Schedule: Flexible, asynchronous; there is no minimum hour requirement.
• Typical commitment when participating in an active project is approximately 5 to 20 hours per week.
• Placement on projects depends on current project needs; contributors may be considered for future projects as they become available.

Up to $85/hr (depending on the project)

• Open to professionals with the stated industry experience and tool familiarity.
• No specific work authorization text provided; applicants should ensure they are eligible to accept paid, remote contract work under the laws and regulations that apply to them.

To apply, create an account and complete the identity verification step. After verification, opt into relevant projects and complete any required onboarding for those projects. Once onboarded, begin assigned tasks and receive payment according to the project terms.