Pre-Construction Manager AI Training Reviewer

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

Benefits offered by this job

Remote work

Flexible schedule

Job summary

OpenTrain AI, Inc. in the United States is seeking experienced energy professionals to create training data for energy project estimation, pre-construction, and solar design practices. You will review AI-generated responses and provide clear feedback to help improve their accuracy and relevance.

This remote contract offers flexible hours (5–20 per week when active) and pay up to $85 per hour, depending on project and experience. Eligible candidates are based in the United States.

Qualifications

• At least two years in energy project estimation, pre-construction, solar design, or a comparable energy-industry role.
• Experience with one of Bluebeam Revu, RSMeans, or Aurora Solar.
• Strong written English and attention to detail.
• Ability to work independently.

Responsibilities

• Create training examples based on real energy project estimation, pre-construction, and solar design practices.
• Review AI-generated responses and give clear feedback to help improve accuracy and relevance.
• Work independently and collaborate asynchronously with AI research teams.

Skills

Energy estimation

Pre-construction

Solar design

AI feedback

Independent work

Strong written English

Tools

Bluebeam Revu

RSMeans

Aurora Solar

Job description

Use your energy project estimation, pre-construction, or solar design experience to create training examples and assess AI responses. Remote, flexible contract work pays up to $85 per hour, with about 5-20 hours a week during active projects.

Remote Hourly $85/hr

$85/hr

Compensation

Contract

Engagement

Remote

Location

Posted

Open to applicants in

United States

The work

Create training examples based on real energy project estimation, pre-construction, and solar design practices. Review AI-generated responses and give clear feedback to help improve their accuracy and relevance.

• Use your professional judgment to assess whether AI responses reflect accurate energy project development and cost-estimation workflows.
• Work independently and collaborate asynchronously with AI research teams.

What it pays and takes

• Pay: Up to $85 per hour, depending on the project and your experience.
• Hours: Flexible, with no minimum. Contributors commonly work about 5-20 hours per week when a project is active.
• Location: Remote; open to candidates in the United States.
• Experience: At least two years in energy project estimation, pre-construction, solar design, or a comparable energy-industry role.
• Hands-on experience with at least one of Bluebeam Revu, RSMeans, or Aurora Solar.
• Strong written English, careful attention to detail, and the ability to work independently.

About AI training work

AI training uses examples and human reviews to teach AI systems how to respond. Experienced energy professionals bring real project workflows and cost-estimation judgment to this work.

Review AI responses against US architecture, building, accessibility, energy, and fire codes using real construction documents. This remote contract offers flexible project-based work and pays up to $62.50 per hour.

Review and compare AI-generated responses using Singaporean Mandarin, explain your judgments in clear written feedback, and work remotely with no fixed schedule. Pay is up to $30 per hour.

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.

Use environmental, GIS, and renewable energy expertise to create training data and evaluate AI-generated content. This remote US role pays up to $85 per hour, with flexible asynchronous work of about 5 to 20 hours per week.

Use your utility metering, energy billing, and customer operations experience to evaluate AI responses and create training data remotely. This flexible contract work pays up to $85 per hour, with no minimum hours.