Environmental Engineering - AI Data Trainer
About this role
About the Role We're partnering with the world's leading AI research labs to make AI smarter in complex scientific domains — and we need environmental engineers to help get it right. As an AI Data Trainer, you'll stress-test cutting-edge language models on real environmental engineering challenges, expose their blind spots, and help build systems that reason accurately about the problems that matter most to our planet. This is a fully remote, flexible contract role. You set your hours and work on your own schedule. - 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, air dispersion modeling, and Life Cycle Assessments (LCA) - Author Gold-Standard Solutions — Develop rigorous, step-by-step technical solutions — including chemical dosage calculations, hydraulic flow models, and pollutant dispersion analyses — that serve as benchmark responses for AI evaluation - Audit AI Outputs — Review AI-generated remediation plans, environmental impact statements, and engineering calculations for technical accuracy, regulatory compliance (EPA, ISO 14001), and safety - Sharpen AI Reasoning — Identify flaws in model logic — such as incorrect stoichiometry, faulty unit conversions, or failure to account for secondary environmental impacts — and deliver structured feedback to improve how the model thinks - Work Across Core Domains — Apply expertise in water and wastewater treatment, air quality management, EHS compliance, and solid or hazardous waste management Who You Are - Advanced Degree — Master's (pursuing or completed) or PhD in Environmental Engineering, Civil Engineering with an environmental focus, or a closely related discipline - Domain Expert — Strong foundational knowledge in at least one core area: aquatic chemistry, wastewater process design, air quality engineering, or hazardous waste remediation - Precise Communicator — Able to explain complex ecological and engineering concepts clearly and concisely in writing - Detail-Oriented — High accuracy when checking unit conversions (e.g., mg/L to ppm), chemical equations, mass balances, and regulatory logic - No prior AI experience required — we'll get you up to speed Nice to Have - Prior experience with data annotation, data quality, or AI evaluation workflows - Familiarity with environmental modeling software (e.g., AERMOD, SWMM, GoldSim) - Experience writing technical reports or environmental impact assessments Why Join Us - Work on cutting-edge AI projects alongside top AI research teams and labs - Fully remote and flexible — work when and where it suits you - Freelance perks: autonomy, variety, and collaboration with experts across the globe - Gain rare, hands-on exposure to how advanced large language models are trained and evaluated - Meaningful work — your expertise directly improves how AI handles real-world environmental challenges - Potential for ongoing work and contract extension
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