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 accurate AI — and we need environmental engineers to help get there. As an AI Data Trainer, you'll stress-test cutting-edge language models on real-world environmental engineering challenges, expose their blind spots, and help shape how AI reasons through complex technical problems. This is a rare opportunity to apply your domain expertise in a brand-new way — from anywhere in the world, on your own schedule. * Organization: Alignerr * Type: Hourly Contract * Location: Remote * Commitment: 10–40 hours/week What You'll Do * Design Advanced Technical Problems — Create challenging environmental engineering scenarios spanning contaminant transport, mass balance in treatment plants, hydrology, pollutant dispersion, and Life Cycle Assessments (LCA) * Author Gold-Standard Solutions — Develop rigorous, step-by-step solutions including chemical dosage calculations, hydraulic flow models, and simulation outputs that serve as reference benchmarks for AI training * Audit AI Outputs — Evaluate AI-generated remediation plans, environmental impact statements, and technical calculations for accuracy, safety, and regulatory compliance (EPA, ISO 14001, and more) * Refine AI Reasoning — Identify logical errors such as incorrect stoichiometry, flawed dispersion modeling, or missed secondary environmental impacts, and provide structured feedback to improve model performance * Work Independently — Complete task-based assignments asynchronously on your own schedule Who You Are * Holds or is pursuing a Master's or PhD in Environmental Engineering, Civil Engineering (environmental focus), or a closely related field * Strong foundational knowledge in one or more core areas: aquatic chemistry, wastewater process design, air quality engineering, or hazardous waste remediation * Able to communicate complex technical concepts clearly and precisely in writing * High attention to detail — comfortable catching unit conversion errors (e.g., mg/L to ppm), verifying chemical equations, and checking regulatory compliance logic * Self-motivated and reliable in a remote, async work environment * No prior AI experience required Nice to Have * Experience with data annotation, quality evaluation, or technical review workflows * Familiarity with environmental modeling software (e.g., AERMOD, SWMM, or similar) * Background in EHS compliance or regulatory affairs Why Join Us * Work on cutting-edge AI projects with top research labs and make a direct impact on how AI handles environmental science * Fully remote and flexible — work when and where it suits you * Freelance autonomy with the structure and support of a global team * Engage with intellectually stimulating, domain-specific challenges that go beyond typical consulting or industry work * Potential for ongoing work and contract extension