Environmental Engineering - AI Data Trainer

Environmental Engineering – AI Data Trainer 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: AlignerrType: Hourly ContractLocation: RemoteCommitment: 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 limitsBuild 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 responsesAudit 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 problemsWork 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 disciplineStrong foundational knowledge in one or more core areas: aquatic chemistry, wastewater process design, air quality engineering, or hazardous waste remediationAble to communicate complex technical and ecological concepts clearly in writingHighly precise — comfortable checking unit conversions, chemical equations, and regulatory logic for errorsNo prior AI experience required — we'll bring you up to speed Nice to Have Prior experience with data annotation, quality evaluation, or technical review workflowsFamiliarity 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 teamsFully remote and flexible — work on your own schedule, anywhere in the worldFreelance autonomy: no meetings, no commute, no office politicsContribute to meaningful work that improves how AI handles real environmental challengesGain direct exposure to how large language models are trained and evaluatedPotential for ongoing work and contract extension