Environmental Engineering - AI Data Trainer
About the role
We're partnering with the world's leading AI research labs to make AI smarter, safer, and more technically rigorous — and we need environmental engineers to make it happen. As an AI Data Trainer, you'll put your deep domain knowledge to work stress-testing and improving advanced AI models on topics like water treatment, air quality, contaminant transport, and environmental compliance. Your expertise becomes the benchmark that future AI systems are trained against.
Responsibilities
- Design Complex Problems — Craft advanced environmental engineering challenges spanning contaminant transport, mass balance in treatment systems, hydrology, Life Cycle Assessments (LCA), and more
- Author Gold-Standard Solutions — Write rigorous, step-by-step technical solutions — including chemical dosage calculations, hydraulic flow models, and pollutant dispersion analyses — that serve as the definitive reference for AI training
- Audit AI Outputs — Evaluate AI-generated remediation plans, environmental impact statements, and technical analyses for accuracy, safety, and regulatory compliance (EPA, ISO 14001, and beyond)
- Sharpen AI Reasoning — Identify flaws in AI logic — incorrect stoichiometry, overlooked secondary impacts, regulatory misinterpretations — and provide structured feedback to improve how models think through problems
Requirements
Holds or is pursuing a Master's or PhD in Environmental Engineering, Civil Engineering (environmental focus), or a closely related field
Strong foundational knowledge in one or more core areas: aquatic chemistry, wastewater process design, air quality engineering, or hazardous waste remediation
Able to communicate complex technical concepts clearly and precisely in writing
Meticulous attention to detail — unit conversions, chemical equations, and regulatory logic matter here
Qualifications
No prior AI experience required — we'll get you up to speed
Skills
Nice to Have
Experience with data annotation, quality review, or evaluation workflows
Familiarity with environmental modeling software (e.g., AERMOD, SWMM, or similar)
Background in EHS compliance or environmental consulting
Benefits
Full remote and async — work when and where it suits you
Freelance flexibility with the potential for ongoing, extended contracts
Pay
Hourly Contract
Schedule
Flexible freelance contract — work on your own schedule, as much or as little as fits your life