Environmental Engineering - AI Data Trainer

**Environmental Engineering — AI Data Trainer** **About The Role** We're looking for environmental engineering specialists to help train and improve advanced AI models. Your technical expertise will directly shape how AI understands and reasons through complex environmental challenges — from water treatment and air quality to hazardous waste remediation and regulatory compliance. This is a unique opportunity to apply your hard\-earned domain knowledge in a cutting\-edge AI context, working flexibly and remotely on your own schedule. * Organization: Alignerr * Type: Hourly Contract * Location: Remote * Commitment: 10–40 hours/week **What You'll Do** * Design Complex Problems — Develop advanced environmental engineering scenarios spanning contaminant transport, mass balance in treatment plants, hydrology, and Life Cycle Assessments (LCA) * 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 the gold standard for AI responses * Audit AI Outputs — Evaluate AI\-generated remediation plans, environmental impact statements, and mathematical reasoning for technical accuracy, safety, and regulatory compliance (EPA, ISO 14001, and similar frameworks) * Improve AI Reasoning — Identify logical errors in AI outputs — such as incorrect stoichiometry in biological processes or failure to account for secondary environmental impacts — and provide structured, actionable feedback **Who You Are** * Currently pursuing or holding a Master's or PhD in Environmental Engineering, Civil Engineering (with environmental focus), or a closely related field * Strong foundational knowledge in one or more of: aquatic chemistry, wastewater process design, air quality engineering, or hazardous waste remediation * Able to communicate complex ecological and engineering concepts clearly and precisely in writing * Meticulous attention to detail — unit conversions, chemical equations, and regulatory compliance logic are second nature to you * No prior AI experience required — we'll guide you through everything **Nice to Have** * Prior experience with data annotation, quality evaluation, or technical review workflows * Familiarity with environmental modeling software (e.g., AERMOD, SWMM, EPA tools) **Why Join Us** * Work on cutting\-edge AI projects with leading AI research labs and teams * Fully remote and flexible — work on your own schedule, anywhere * Freelance perks: autonomy, variety, and global collaboration * Make a meaningful impact — your expertise helps AI reason more accurately about real\-world environmental challenges * Potential for ongoing work and contract extension