Reservoir Engineer for AI Model Evaluation

Reservoir engineers apply subsurface, reservoir, and production operations expertise to evaluate AI-generated content and produce expert-level training data that improves AI understanding of reservoir engineering workflows.

• Use hands-on experience from reservoir engineering, subsurface analysis, and production operations to review AI-generated responses for technical accuracy and relevance.
• Create and annotate expert training data based on real-world workflows, models, and production scenarios.
• Provide clear, actionable feedback that helps refine AI outputs for subsurface tasks.
• Work asynchronously with AI research teams to complete review and annotation tasks on an hourly, contract basis.

• At least 2 years of professional experience in reservoir engineering, subsurface analysis, or production operations.
• Relevant roles include Reservoir Engineer, Petrophysicist, Production Engineer, Reserves Analyst, or equivalent positions in the energy industry.
• Hands-on experience with one or more of the following software tools: Spotfire, CMG, MBAL, FracPro, PVTi, WellView, Petrel.
• Strong written communication skills, attention to detail, and the ability to work independently and asynchronously with remote teams.
• No prior AI experience required.

• Engagement type: hourly contract work, part-time.
• Location: fully remote, work from anywhere.
• Schedule: flexible, asynchronous workflow with no minimum hour requirement; most contributors work approximately 5-20 hours per week when participating in an active project.
• This is an ongoing, project-based engagement you can take on alongside other commitments.
• Placement on specific projects depends on current project needs, with opportunities to be considered for future projects as they become available.

• Up to $80/hr (depending on the project)

• You must be able to work as an independent contractor and complete required identity verification before participating in projects.

• Create a candidate profile on the platform and supply the requested information.
• Complete an identity verification step so you can be assigned to projects.
• Review available project listings and join those that match your skills.
• Complete project-specific onboarding, then begin reviewing tasks and submitting work for payment.