Environmental Engineering - AI Data Trainer
About this role
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
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