Environmental Engineering - AI Data Trainer
About this role
About the Role AI is rapidly advancing into highly technical domains — and we need real experts to make sure it gets things right. We're looking for environmental engineers to help train and evaluate cutting-edge AI models on topics like water treatment, air quality management, and hazardous waste remediation. Your domain knowledge will directly shape how AI reasons through complex environmental problems — from contaminant transport to regulatory compliance. This is a rare opportunity to influence AI development from the inside, without leaving your field. - Organization: Alignerr - Type: Hourly Contract - Location: Remote - Commitment: 10–40 hours/week What You'll Do - Design Complex Problems — Craft advanced environmental engineering scenarios covering contaminant transport, mass balance in treatment plants, hydrology, Life Cycle Assessments (LCA), and more - 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 reference-quality benchmarks - Audit AI Outputs — Evaluate AI-generated remediation plans, environmental impact statements, and mathematical proofs for technical accuracy, regulatory adherence (EPA, ISO 14001), and safety - Improve AI Reasoning — Identify logical flaws in AI responses — such as incorrect stoichiometry in biological treatment processes or failure to account for secondary environmental impacts — and provide structured feedback to correct model behavior Who You Are - Pursuing or completed a Master's or PhD in Environmental Engineering, Civil Engineering (environmental focus), or a closely related discipline - Strong foundational expertise in at least one of: aquatic chemistry, wastewater process design, air quality engineering, or hazardous waste remediation - Able to communicate complex technical and ecological concepts clearly and precisely in writing - Detail-oriented with a high standard for accuracy — unit conversions, chemical equations, and regulatory logic all matter here - No prior AI experience required — your engineering knowledge is what we need Nice to Have - Experience with data annotation, quality assurance, or evaluation workflows - Familiarity with environmental modeling software (e.g., AERMOD, SWMM, or similar) - Background in EHS compliance or environmental consulting Why Join Us - Work on cutting-edge AI projects alongside leading AI research labs - Fully remote and flexible — work on your own schedule, 10 to 40 hours per week - Freelance perks: autonomy, variety, and global collaboration - Apply your technical expertise in a brand new way and expand your professional impact - Potential for ongoing work and contract extension
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