Reliability Engineer, Energy AI Evaluation

OpenTrain AI, Inc.; United States; Remote; USD 70,000 - 117,000; Part time

Job summary

OpenTrain AI, Inc. is seeking a Reliability Engineer for an Energy AI Evaluation project.

This remote contract targets professionals with experience in energy operations, plant performance, and reliability engineering to create training data and evaluate AI responses. You will work up to 85 USD per hour, 20+ hours per week, open to candidates in the United States, with English fluency and independence in an asynchronous team environment, using tools such as AVEVA PI, WinCC, Oracle MDM, Power BI,

Qualifications

• At least two years of professional experience in industrial operations, plant performance, energy asset management, or a similar role.
• Strong written communication and attention to detail.
• Ability to work independently with asynchronous teams.

Responsibilities

• Create training data based on professional experience in industrial operations, plant performance, or energy asset management.
• Evaluate AI-generated responses for accuracy and relevance.
• Apply knowledge of AVEVA PI, WinCC, Oracle MDM, Power BI, or Bloomberg Terminal.
• Provide clear feedback and work independently with an asynchronous team.

Skills

Reliability engineering

Energy operations

Plant performance

Tools

AVEVA PI

WinCC

Oracle MDM

Power BI

Bloomberg Terminal

Job description

Reliability Engineer, Energy AI Evaluation

Use your reliability or energy operations experience to create training data and evaluate AI responses for accuracy. This remote contract offers up to $85 per hour and requires at least 20 hours per week.

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 that need to understand industrial operations, plant performance, and energy asset management. The work involves creating expert training data and reviewing AI-generated content against real-world energy operations practices.

• Create training data based on professional experience in industrial operations, plant performance, or energy asset management.
• Evaluate AI-generated responses for accuracy, relevance, and fit with energy operations and performance engineering practices.
• Use practical knowledge of tools such as AVEVA PI, WinCC, Oracle MDM, Power BI, or Bloomberg Terminal.
• Write clear feedback and make careful decisions while working independently with an asynchronous team.

What it pays and takes

This is a remote, project-based contract role that can be done alongside other commitments. Previous AI experience is not required.

• Pay: Up to $85 per hour.
• Time: 20+ hours per week.
• Location: Open to candidates in the United States.
• Language: Professional fluency in English.
• Experience: At least two years of professional experience in industrial operations, plant performance, energy asset management, or a comparable energy-industry role.
• Relevant backgrounds include Plant Performance Engineer, Reliability Engineer, SCADA Engineer, Drilling or Production Engineer, Generation Asset Analyst, or a similar position.
• Hands-on experience with at least one of AVEVA PI, WinCC, Oracle MDM, Power BI, and Bloomberg Terminal.
• Strong written communication, attention to detail, and the ability to work independently.