Production Engineer - Remote AI Fellowship
Listing checked September 18, 2026 · pay as published by Handshake AI
Overview
Handshake AI seeks production engineers and related energy specialists to review AI-generated material and shape training data for models used in subsurface work. You will apply hands-on knowledge of reservoir engineering, subsurface analysis, and production operations to judge whether AI responses match real industry practice. The engagement runs as a part-time fellowship with remote, asynchronous hours, so you can fit it around another role. No AI background is necessary, and active projects ask for about 5 to 20 hours per week.
What You'll Do8
- 1Evaluate AI-generated answers for accuracy and relevance using your experience in reservoir engineering, subsurface analysis, or production operations.
- 2Create expert training examples from daily workflows and the tools you know.
- 3Give structured feedback that helps AI systems grasp subsurface processes and reservoir engineering methods.
- 4Compare AI output against accepted industry practices and flag errors, gaps, or misleading claims.
- 5Use software such as Petrel, ARIES, Techlog, Avocet, or AVEVA PI to ground reviews in real data and operations.
- 6Work with AI research teams on an asynchronous schedule and respond to project instructions when a project is active.
- 7Track project tasks and meet deadlines with little supervision.
- 8Maintain attention to detail across written evaluations and data entries.
Requirements8
- 12+ years professional experience in reservoir engineering, subsurface analysis, or production operations.
- 2Background in roles like reservoir engineer, petrophysicist, production engineer, reserves analyst, or similar energy positions.
- 3Hands-on use of at least one tool: Petrel, ARIES, Techlog, Avocet, or AVEVA PI.
- 4Strong written communication for explaining technical judgments to AI research teams.
- 5Detail-oriented approach when reviewing AI responses and training data.
- 6Ability to work on your own schedule and with minimal supervision.
- 7No prior AI experience needed.
- 8Comfort 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.
Salary Insight
The fellowship pays up to $85.00 per hour, with the final rate tied to the project and your experience. For part-time AI training work in specialized energy fields, that rate sits near the top of the range and matches contributors with several years of hands-on reservoir or production work. Because hours depend on active projects, total earnings vary.
Pay and demand for Machine Learning & AI roles
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up to $85/hr
Most Machine Learning & AI roles pay $55–$100 per hour. This role's pay falls inside that range.
Based on 510 similar roles that publish pay · 90 publish only a top rate; those count at the rate they gave
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Compensation
Up to $85/hr
Required Skills
Application Tip
Name the exact tools you use, such as Petrel, ARIES, Techlog, Avocet, or AVEVA PI, and tie each one to a task you performed, for example building a reservoir model or reconciling production data. That concrete detail matters more than broad claims about energy experience.
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