Remote Environmental Engineer for AI Data Training

Alignerr Corp.; Atlanta (GA); Remote; USD 55,000 - 83,000; Part time

Benefits offered by this job

Fully remote

Flexible schedule

Job summary

Alignerr Corp. is seeking an Environmental Engineering AI Data Trainer to help stress-test and benchmark AI models on environmental engineering problems. The role emphasizes developing advanced environmental scenarios, crafting expert‑level solutions, and auditing AI outputs for accuracy and regulatory compliance.

Fully remote, freelance, with flexible hours and a path to ongoing work. You will design challenging problems across contaminant transport, wastewater treatment, hydrology, and LCA,

Qualifications

• Holds or pursuing a Master's or PhD in Environmental Engineering or Civil Engineering (environmental focus).
• Strong foundational knowledge in aquatic chemistry, wastewater process design, air quality engineering, hazardous waste remediation, or environmental compliance.
• Precise and detail-oriented—catch unit conversion errors, chemical equation imbalances, regulatory inconsistencies.
• Able to communicate complex engineering concepts clearly and concisely in writing.
• Self‑motivated and comfortable working independently on technical tasks.

Responsibilities

• Design Challenging Problems — Develop advanced environmental engineering scenarios spanning contaminant transport, mass balance in treatment plants, hydrology, pollutant dispersion, and Life Cycle Assessments (LCA)
• Author Expert‑Level Solutions — Write rigorous, step‑by‑step technical solutions — including chemical dosage calculations, hydraulic flow models, and remediation plans — that serve as ground‑truth benchmarks for AI training
• Audit AI Outputs — Evaluate AI-generated environmental impact statements, remediation strategies, and engineering calculations for technical accuracy, safety, and regulatory compliance (EPA, ISO 14001, and more)
• Sharpen AI Reasoning — Identify logical errors such as incorrect stoichiometry, flawed unit conversions, or failure to account for secondary environmental impacts, and provide structured feedback to improve model performance
• Work Independently — Complete task‑based assignments asynchronously on a schedule that works for you

Skills

Aquatic chemistry

Wastewater process design

Air quality engineering

Hazardous waste remediation

Environmental compliance

Education

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

Tools

AERMOD

SWMM

MODFLOW

Job description

Alignerr Corp. is seeking an Environmental Engineering AI Data Trainer to help stress-test and benchmark AI models on environmental engineering problems. The role emphasizes developing advanced environmental scenarios, crafting expert‑level solutions, and auditing AI outputs for accuracy and regulatory compliance.

Fully remote, freelance, with flexible hours and a path to ongoing work. You will design challenging problems across contaminant transport, wastewater treatment, hydrology, and LCA,