Remote AI Data Trainer — Environmental Engineering

Alignerr Corp.; Auckland; Remote; NZD 61,000 - 98,000; Full time

Job summary

Alignerr is seeking an Environmental Engineering AI Data Trainer to help stress-test models on real-world environmental problems. Work remotely with flexible hours (10–40 hrs/week) and contribute domain expertise to craft gold-standard solutions that guide model reasoning.

You'll design challenging problems in contaminant transport, wastewater, air quality, and LCA; author grounded solutions; audit AI outputs for technical accuracy and regulatory compliance; and provide clear feedback to improve

Qualifications

• Pursuing or holding a Master’s or PhD in Environmental Engineering, Civil Engineering (environmental focus), or a closely related field.
• Strong foundational knowledge in aquatic chemistry, wastewater process design, air quality engineering, or hazardous waste remediation.
• Able to communicate complex technical concepts clearly in writing.
• Detail-oriented with precision in unit conversions, chemical equations, and regulatory logic.

Responsibilities

• Design Challenging Problems — Craft complex, domain-specific engineering scenarios spanning contaminant transport, mass balance in treatment plants, hydrology, air quality modeling, and LCA.
• Author Ground-Truth Solutions — Develop rigorous, step-by-step technical responses including calculations and models that benchmark AI outputs.
• Audit AI Responses — Critically evaluate AI-generated remediation plans, environmental impact statements, and proofs for accuracy and regulatory compliance.
• Improve AI Reasoning — Identify flaws in AI logic and deliver structured feedback to sharpen model performance.
• Work Independently — Manage your own schedule and contribute meaningfully on your own terms.

Skills

Data annotation

Independent work

Technical writing

Education

Master's or PhD in Environmental Engineering / Civil Engineering (environmental focus)

Tools

AERMOD

SWMM

SimaPro

Job description

Alignerr is seeking an Environmental Engineering AI Data Trainer to help stress-test models on real-world environmental problems. Work remotely with flexible hours (10–40 hrs/week) and contribute domain expertise to craft gold-standard solutions that guide model reasoning.

You'll design challenging problems in contaminant transport, wastewater, air quality, and LCA; author grounded solutions; audit AI outputs for technical accuracy and regulatory compliance; and provide clear feedback to improve