Production Engineer AI Training Evaluator

OpenTrain AI, Inc.; United States; Remote; USD 97,000 - 138,000; Part time

Benefits offered by this job

Remote work

Hourly contract

Job summary

OpenTrain AI, Inc. is seeking an experienced reservoir engineer to review AI-generated content, create training data, and explain inaccuracies for a remote, US-based project.

You will work asynchronously, evaluating AI outputs on reservoir engineering, subsurface analysis, and production operations, and provide expert feedback to improve model performance. Requires at least two years in reservoir engineering or related energy roles; hands-on use of Petrel, ARIES, Techlog, Avocet, or AVEVA PI is

Qualifications

• Two+ years in reservoir engineering, subsurface analysis, production operations, or a related energy role.
• Experience reviewing AI-generated content for accuracy and relevance.
• Ability to write clear feedback and training data explanations.

Responsibilities

• Review AI-generated responses about reservoir engineering, subsurface analysis, and production operations.
• Check whether responses reflect practical energy workflows and technical knowledge.
• Create expert-level training data using professional experience and industry tools.
• Write feedback identifying inaccuracies, missing information, and ways to improve AI content.

Skills

Strong written communication

Independent work

Attention to detail

Technical judgment

Tools

Petrel

ARIES

Techlog

Avocet

AVEVA PI

Job description

Use your production or reservoir engineering experience to review AI-generated technical content, create training data, and explain inaccuracies. This remote US project pays up to $85 per hour with flexible, asynchronous work.

Remote Hourly · $85/hr

$85/hr

Compensation

Contract, part-time

Engagement

Remote

Location

Posted

Open to applicants in

United States

The work

You will help improve AI systems used in subsurface workflows and reservoir engineering. The work involves applying practical energy-industry judgment to written AI responses and training data.

You will work independently and asynchronously, with careful attention to technical accuracy and clear written explanations.

• Review AI-generated responses about reservoir engineering, subsurface analysis, and production operations.
• Check whether responses reflect practical energy-industry workflows and technical knowledge.
• Create expert-level training data using your professional experience and familiarity with industry tools.
• Write feedback that identifies inaccuracies, missing information, and ways to improve AI-generated content.

What it pays and takes

This is an ongoing, project-based opportunity for independent contributors. The role is remote and open to candidates in the United States.

• Pay: Up to $85 per hour.
• Schedule: 20+ hours per week, with flexible asynchronous work.
• Location: Open to candidates in the United States.
• Experience: At least two years in reservoir engineering, subsurface analysis, production operations, or a comparable energy-industry role.
• Relevant backgrounds include Reservoir Engineer, Petrophysicist, Production Engineer, Reserves Analyst, or a similar position.
• Tools: Hands-on experience with one or more of Petrel, ARIES, Techlog, Avocet, and AVEVA PI.
• Skills: Strong written communication, clear technical judgment, independence, and careful attention to detail.

About AI training work

AI training is the human work behind systems that generate and evaluate content. Contributors review model outputs, create useful examples, and explain what is accurate or incorrect so AI systems can improve; professional expertise matters because it helps models handle specialized subjects more reliably.