Production Engineer - Remote AI Fellowship

What You'll Do8

• Evaluate AI-generated answers for accuracy and relevance using your experience in reservoir engineering, subsurface analysis, or production operations.
• Create expert training examples from daily workflows and the tools you know.
• Give structured feedback that helps AI systems grasp subsurface processes and reservoir engineering methods.
• Compare AI output against accepted industry practices and flag errors, gaps, or misleading claims.
• Use software such as Petrel, ARIES, Techlog, Avocet, or AVEVA PI to ground reviews in real data and operations.
• Work with AI research teams on an asynchronous schedule and respond to project instructions when a project is active.
• Track project tasks and meet deadlines with little supervision.
• Maintain attention to detail across written evaluations and data entries.

Requirements8

• 2+ years professional experience in reservoir engineering, subsurface analysis, or production operations.
• Background in roles like reservoir engineer, petrophysicist, production engineer, reserves analyst, or similar energy positions.
• Hands-on use of at least one tool: Petrel, ARIES, Techlog, Avocet, or AVEVA PI.
• Strong written communication for explaining technical judgments to AI research teams.
• Detail-oriented approach when reviewing AI responses and training data.
• Ability to work on your own schedule and with minimal supervision.
• No prior AI experience needed.
• Comfort with project-based, part-time schedules of about 5 to 20 hours per week.

Who Should Apply

The ideal candidate brings at least two years in reservoir engineering, subsurface analysis, or production operations, plus hands-on use of Petrel, ARIES, Techlog, Avocet, or AVEVA PI. You write precise technical English and can judge whether AI-generated content reflects real subsurface workflows. This fellowship fits someone who wants project-based work alongside a full-time energy job. Candidates with no industry experience or only classroom familiarity with the tools will find a poor match, and applicants often score low when they list software without describing specific workflows. People who need fixed weekly hours or a permanent position should look elsewhere.

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