Reservoir Engineer - AI Training Project

What You'll Do6

• Review AI-generated responses for accuracy, relevance, and sound engineering logic.
• Build expert training data that reflects real reservoir, subsurface, and production workflows.
• Apply hands-on tool knowledge from Petrel, ARIES, Techlog, Avocet, or AVEVA PI when judging outputs.
• Write clear feedback that explains why an answer misses, meets, or exceeds industry expectations.
• Check technical claims against reservoir engineering practices and production operations.
• Work on your own schedule and coordinate with AI research teams through written updates.

Requirements6

• At least 2 years of professional experience in reservoir engineering, subsurface analysis, or production operations.
• Background as a Reservoir Engineer, Petrophysicist, Production Engineer, Reserves Analyst, or a comparable energy industry role.
• Hands-on use of at least one tool among Petrel, ARIES, Techlog, Avocet, and AVEVA PI.
• Strong written communication and careful attention to technical detail.
• Ability to work on your own and with remote AI research teams across time zones.
• No prior AI experience needed.

Who Should Apply

Candidates who have at least two years in reservoir engineering, petrophysics, production engineering, or reserves analysis and who know Petrel, ARIES, Techlog, Avocet, or AVEVA PI fit the core profile. The role rewards clear writing and careful review of technical content. People who want a fixed full-time schedule or who need steady project flow may find this less suitable, because work depends on active projects and has no minimum hours. A common reason for low fit scores is listing general energy experience without showing hands-on tool use or specific reservoir workflows. Another is treating the task as simple labeling; the project expects expert judgment and detailed written feedback.

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