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 specialized technical domains — and we need environmental engineers to help get it right. As an Environmental Engineering AI Data Trainer, you'll stress-test advanced language models on complex, real-world problems across water treatment, air quality, hazardous waste, and environmental compliance. Your expertise will directly shape how the next generation of AI reasons through environmental engineering challenges. This is a rare opportunity to apply your deep technical knowledge in a flexible, remote freelance capacity — while contributing to some of the most impactful AI development happening today. - Organization: Alignerr - Type: Hourly Contract - Location: Remote - Commitment: 10–40 hours/week --- What You'll Do - Design Complex Problems — Craft advanced environmental engineering scenarios spanning contaminant transport, mass balance in treatment plants, hydrology, Life Cycle Assessments (LCA), and more - Author Gold-Standard Solutions — Write rigorous, step-by-step technical solutions — including chemical dosage calculations, hydraulic flow models, and pollutant dispersion simulations — that serve as benchmarks for AI responses - Audit AI Outputs — Critically evaluate AI-generated remediation plans, environmental impact statements, and mathematical proofs for technical accuracy, regulatory compliance, and safety - Sharpen AI Reasoning — Identify logical errors in AI outputs — such as incorrect stoichiometry, missing secondary impacts, or regulatory misapplications — and provide structured feedback to improve model reasoning --- Who You Are - Advanced Degree — Pursuing or holding a Master's or PhD in Environmental Engineering, Civil Engineering (environmental focus), or a closely related field - Domain Expertise — Strong foundational knowledge in areas such as aquatic chemistry, wastewater process design, air quality engineering, or hazardous waste remediation - Analytical Communicator — Able to explain complex ecological and engineering concepts clearly and precisely in writing - Detail-Oriented — Meticulous when checking unit conversions (e.g., mg/L to ppm), chemical equations, and regulatory compliance logic - No AI experience required — your engineering expertise is what matters Nice to Have - Prior experience with data annotation, quality evaluation, or review systems - Familiarity with environmental modeling software (e.g., SWMM, AERMOD, GoldSim) - Knowledge of regulatory frameworks such as EPA standards or ISO 14001 --- Why Join Us - Work on cutting-edge AI — Collaborate with top AI research teams on models that are shaping the future of technical reasoning - Fully remote and flexible — Work on your own schedule, from anywhere - Meaningful impact — Your expertise helps ensure AI gets environmental engineering right, with real-world consequences for safety and compliance - Freelance autonomy — Enjoy the independence of contract work with the backing of a global team - Potential for ongoing work — Strong contributors are considered for contract extensions and new projects
Application listings
Choose a source listing and check its country requirements.