Environmental Engineering - AI Data Trainer
About this role
About the Role We're partnering with the world's leading AI research labs to build smarter, more technically rigorous AI models — and we need environmental engineers to make it happen. Your domain expertise will directly shape how AI reasons through real-world problems in water treatment, air quality, hazardous waste, and environmental compliance. This is a rare opportunity to sit at the intersection of environmental science and cutting-edge AI — without leaving your home office. - Organization: Alignerr - Type: Hourly Contract - Location: Remote - Commitment: 10–40 hours/week What You'll Do - Design Challenging Problems — Craft advanced environmental engineering scenarios spanning contaminant transport, mass balance in treatment systems, hydrology, and Life Cycle Assessments (LCA) that push AI models to their limits - Build Ground-Truth Solutions — Author rigorous, step-by-step technical solutions including chemical dosage calculations, hydraulic flow models, and pollutant dispersion simulations that serve as the benchmark for AI responses - Audit AI Outputs — Evaluate AI-generated remediation plans, environmental impact statements, and mathematical reasoning for technical accuracy, safety, and regulatory compliance (e.g., EPA standards, ISO 14001) - Sharpen AI Reasoning — Identify where AI goes wrong — incorrect stoichiometry, flawed mass balances, overlooked secondary impacts — and provide structured feedback that improves how models think through environmental problems - Work Independently — Complete task-based assignments asynchronously on a schedule that fits your life Who You Are - Pursuing or holding a Master's or PhD in Environmental Engineering, Civil Engineering (environmental focus), or a closely related discipline - 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 and ecological concepts clearly in writing - Highly precise — comfortable checking unit conversions, chemical equations, and regulatory logic for errors - No prior AI experience required — we'll bring you up to speed Nice to Have - Prior experience with data annotation, quality evaluation, or technical review workflows - Familiarity with environmental modeling software (e.g., AERMOD, SWMM, or similar) - Experience writing technical reports, environmental assessments, or academic research Why Join Us - Work on cutting-edge AI projects with top AI research labs and teams - Fully remote and flexible — work on your own schedule, anywhere in the world - Freelance autonomy: no meetings, no commute, no office politics - Contribute to meaningful work that improves how AI handles real environmental challenges - Gain direct exposure to how large language models are trained and evaluated - Potential for ongoing work and contract extension
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