Environmental Engineering - AI Data Trainer

- Organization: Alignerr - Type: Hourly Contract - Location: Remote - Commitment: 10–40 hours/week

What You'll Do

* Design Challenging Problems — Develop advanced environmental engineering scenarios across contaminant transport, mass balance in treatment systems, hydrology, LCA, and more * Author Gold-Standard Solutions — Write rigorous, step-by-step technical solutions — from chemical dosage calculations to hydraulic flow models — that serve as the benchmark for AI responses * Audit AI Outputs — Critically evaluate AI-generated remediation plans, environmental impact statements, and engineering calculations for technical accuracy, safety, and regulatory compliance (EPA, ISO 14001, etc.) * Sharpen AI Reasoning — Identify flawed logic in AI responses — such as incorrect stoichiometry, missing secondary impacts, or improper unit conversions — and provide structured feedback to improve how models think

Who You Are

* Pursuing or holding a Master's or PhD in Environmental Engineering, Civil Engineering (environmental focus), or a closely related field * Strong foundational knowledge in at least one of: aquatic chemistry, wastewater process design, air quality engineering, or hazardous waste remediation * Able to communicate complex technical concepts clearly and precisely in writing * Detail-oriented — you catch unit conversion errors, broken stoichiometry, and regulatory gaps that others miss * No prior AI or data annotation experience required

Nice to Have

* Experience with data annotation, data quality review, or evaluation frameworks * Familiarity with environmental modeling software (e.g., AERMOD, EPANET, SimaPro)

Why Join Us

* Work at the frontier of AI development alongside top research teams * Fully remote and asynchronous — work when and where it suits you * Freelance flexibility with the potential for ongoing contract work * Rare opportunity to apply deep technical expertise in a high-impact, non-traditional role * Contribute to AI systems that will reason about real-world environmental challenges