Environmental Engineering - AI Data Trainer
About this role
About the Role We're looking for environmental engineering professionals to help train and improve cutting-edge AI models. Your domain expertise will directly shape how AI understands and reasons through complex environmental challenges — from contaminant transport to regulatory compliance. This is a unique opportunity to apply your technical knowledge in a new way, working at the intersection of environmental science and artificial intelligence. - Organization: Alignerr - Type: Hourly Contract - Location: Remote - Commitment: 10–40 hours/week What You'll Do - Design Complex Problems — Develop advanced environmental engineering challenges spanning contaminant transport, mass balance in treatment systems, hydrology, and Life Cycle Assessments (LCA) - Author Ground-Truth Solutions — Write rigorous, step-by-step technical solutions — including chemical dosage calculations, hydraulic flow models, and pollutant dispersion simulations — that serve as gold-standard reference responses - Audit AI Outputs — Evaluate AI-generated remediation plans, environmental impact statements, and mathematical reasoning for technical accuracy, safety, and regulatory compliance (EPA, ISO 14001, and others) - Refine AI Reasoning — Identify logical errors such as incorrect stoichiometry in biological processes or overlooked secondary environmental impacts, then provide structured feedback to improve how the model thinks - Work independently and asynchronously on your own schedule 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 one or more of: aquatic chemistry, wastewater process design, air quality engineering, or hazardous waste remediation - Skilled at communicating complex technical concepts clearly and precisely in writing - Detail-oriented — you catch unit conversion errors (mg/L vs. ppm), flawed chemical equations, and gaps in regulatory logic - No prior AI experience required Nice to Have - Experience with data annotation, quality evaluation, or technical review workflows - Familiarity with environmental modeling software (e.g., AERMOD, SWMM, EPANET) - Background in EHS compliance or environmental impact assessment Why Join Us - Work on cutting-edge AI projects alongside top research labs and AI teams - Fully remote and flexible — work on your own schedule, from anywhere - Freelance autonomy with meaningful, intellectually engaging work - Directly influence how AI handles real-world environmental and engineering problems - Potential for ongoing work and contract extension
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