Environmental Engineering - AI Data Trainer
About this role
About the Role We partner with the world's leading AI research teams and labs to build and train cutting-edge AI models. Now we're looking for environmental engineering experts to help us make those models smarter, safer, and more technically rigorous. Your domain knowledge — in water treatment, air quality, hazardous waste, and beyond — will directly shape how AI reasons through complex environmental problems. This is a rare opportunity to apply your graduate-level expertise in a high-impact, flexible freelance role at the frontier of AI development. - Organization: Alignerr - Type: Hourly Contract - Location: Remote - Commitment: 10–40 hours/week What You'll Do - Design Advanced Problems — Craft technically rigorous environmental engineering challenges spanning contaminant transport, mass balance in treatment plants, hydrology, Life Cycle Assessments (LCA), and more - Author Gold-Standard Solutions — Develop step-by-step reference solutions including chemical dosage calculations, hydraulic flow models, and pollutant dispersion simulations that serve as benchmarks for AI outputs - Audit AI Responses — Evaluate AI-generated remediation plans, environmental impact statements, and technical calculations for accuracy, safety, and regulatory compliance (EPA, ISO 14001, and similar standards) - Sharpen AI Reasoning — Identify logical flaws in AI outputs — such as incorrect stoichiometry in biological processes or missing secondary environmental impacts — and provide structured feedback to improve model performance - Work on Your Schedule — Complete assignments independently and asynchronously, with full flexibility over when and how much you work Who You Are - Pursuing or completed a Master's or PhD in Environmental Engineering, Civil Engineering (environmental focus), or a closely related field - Strong foundational expertise in one or more core areas: aquatic chemistry, wastewater process design, air quality engineering, or hazardous waste remediation - Able to communicate complex technical and ecological concepts clearly in writing - Precise and detail-oriented — especially when it comes to unit conversions, chemical equations, and regulatory compliance logic - No prior AI experience required — we'll get you up to speed Nice to Have - Experience with data annotation, quality evaluation, or technical review workflows - Familiarity with environmental modeling software (e.g., AERMOD, SWMM, EPA models) - Background in EHS compliance or environmental consulting Why Join Us - Work on cutting-edge AI projects with top research labs and organizations - Fully remote and flexible — work on your own schedule, from anywhere - Freelance autonomy with the variety of meaningful, intellectually stimulating work - Make a real impact — your expertise helps ensure AI gets environmental engineering right - Potential for ongoing work and contract extension
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