Remote Environmental AI Data Trainer — Flexible Hours

Alignerr; Sheffield (TX); On-site; USD 14,000 - 55,000; Full time

Job summary

Alignerr is seeking an Environmental Engineering AI Data Trainer to design challenging environmental scenarios and craft gold-standard solutions. You will author technical explanations, perform contaminant transport and hydrology modeling, and ensure remediation plans meet regulatory standards.

Remote, hourly contract with flexible schedule for graduate-level environmental engineers. No prior AI experience required, and opportunities exist for ongoing collaboration with leading AI labs.

Qualifications

• Master's or PhD in Environmental Engineering or closely related field.
• Strong foundational knowledge in aquatic chemistry, wastewater design, air quality engineering, or hazardous waste remediation.
• Able to communicate complex engineering concepts clearly in writing.
• Meticulous attention to unit conversions, chemical equations, and regulatory logic.
• No prior AI experience required.

Responsibilities

• Design advanced environmental engineering problems across domains (contaminant transport, mass balance, hydrology, air quality, LCA).
• Author rigorous step-by-step solutions with quantitative calculations and models.
• Audit AI-generated remediation plans, impact statements, and calculations for accuracy and safety.
• Identify model errors and provide feedback to improve AI reasoning.

Skills

Technical writing

Environmental modeling

Data annotation

Attention to detail

Education

Master's degree in Environmental Engineering

PhD in Environmental Engineering

Tools

AERMOD

SWMM

Job description

Alignerr is seeking an Environmental Engineering AI Data Trainer to design challenging environmental scenarios and craft gold-standard solutions. You will author technical explanations, perform contaminant transport and hydrology modeling, and ensure remediation plans meet regulatory standards.

Remote, hourly contract with flexible schedule for graduate-level environmental engineers. No prior AI experience required, and opportunities exist for ongoing collaboration with leading AI labs.