Sustainability And ESG AI Evaluation Analyst

OpenTrain AI, Inc.; United States; Remote; USD 91,000 - 129,000; Part time

Job summary

OpenTrain AI, Inc. seeks a Sustainability and ESG AI Evaluation Analyst for remote, contract-based work in the United States. The role involves reviewing AI-generated sustainability and ESG content, providing expert feedback, and producing structured analyses and data outputs.

You may also forecast prices and draft power purchase agreement documents as projects require. The position is part-time, remote, with flexible, asynchronous scheduling and a requirement of 20+ hours per week.

Qualifications

• Two+ years of experience in sustainability, ESG, or environmental compliance.
• Hands-on experience with Persefoni, GaBi, EPA eGGRT, or VelocityEHS.
• Equivalent energy/industrial sector experience is relevant.
• Fluent in English with strong written communication skills.

Responsibilities

• Review AI-generated sustainability, ESG, carbon accounting, and environmental compliance content.
• Provide clear expert feedback on professional sustainability workflows.
• Produce analytical work and structured data outputs using professional tools and methods.
• Build price forecast models when assigned to an active project.
• Develop power purchase agreement documentation when assigned to an active project.
• Maintain clear written records in an asynchronous research setting.

Job description

Sustainability And ESG AI Evaluation Analyst

Review AI-generated sustainability and ESG content using professional experience in carbon accounting, GHG reporting, and environmental compliance. This remote US contract role pays up to $80 per hour and offers flexible, asynchronous project work.

Remote Hourly · $80/hr

$80/hr

Compensation

Contract, part-time

Engagement

Remote

Location

Posted

Open to applicants in

United States

The work

You will evaluate AI-generated content against real sustainability, ESG, carbon accounting, and environmental compliance practices. Your feedback will help AI systems better understand professional sustainability workflows.

You may also produce analytical work and structured data outputs, build price forecast models, and develop power purchase agreement documentation when assigned to a project. The work is independent and requires careful written documentation.

• Review AI-generated sustainability, ESG, carbon accounting, and environmental compliance content.
• Give clear expert feedback on professional sustainability workflows.
• Produce analytical work and structured data outputs using professional tools and methods.
• Build price forecast models when assigned to an active project.
• Develop power purchase agreement documentation when assigned to an active project.
• Maintain clear written records in an asynchronous research setting.

What it pays and takes

This is remote, project-based contract work for candidates in the United States.

• Pay: Up to $80 per hour.
• Schedule: Flexible and asynchronous, with a 20+ hour weekly time requirement.
• Location: Open to candidates in the United States.
• Language: Fluent in English with strong written communication skills.
• Experience: At least two years in sustainability, ESG, or environmental compliance.
• Relevant roles include Sustainability Manager, ESG Analyst, Carbon Accounting Manager, GHG Inventory Lead, Environmental Compliance Manager, or EHS Manager.
• Equivalent experience in the energy or industrial sector is also relevant.
• Hands-on experience with at least one of Persefoni, GaBi, EPA eGGRT, or VelocityEHS.
• Helpful experience includes carbon accounting, GHG inventories, environmental compliance programs, price forecasting, or power purchase agreement documentation.
• Strong attention to detail and the ability to work independently.

About AI training work

AI training work is the human side of building artificial intelligence. People review model responses, evaluate information, and prepare structured examples so AI systems can improve; professional knowledge matters when the work requires accurate judgment in a specialized field.