Environmental Engineering - AI Data Trainer
About this role
About the Role We're looking for environmental engineering experts to help train and improve cutting-edge AI models. Your deep technical knowledge — from water treatment to air quality to hazardous waste remediation — will directly shape how AI reasons through complex environmental problems. This is a unique opportunity to work at the intersection of environmental science and artificial intelligence, contributing to some of the most advanced language models being built today. - Organization: Alignerr - Type: Hourly Contract - Location: Remote - Commitment: 10–40 hours/week What You'll Do - Design Complex Problems — Create advanced environmental engineering challenges spanning contaminant transport, mass balance in treatment plants, hydrology, and Life Cycle Assessments (LCA) to stress-test AI reasoning - Author Ground-Truth Solutions — Develop rigorous, step-by-step technical solutions — including chemical dosage calculations, hydraulic flow models, and pollutant dispersion simulations — that serve as reference-quality "golden responses" - Audit AI Outputs — Evaluate AI-generated remediation plans, environmental impact statements, and mathematical proofs for technical accuracy, regulatory compliance (EPA, ISO 14001), and safety - Refine AI Reasoning — Identify logical errors such as incorrect stoichiometry in biological processes or failure to account for secondary environmental impacts, and provide structured feedback to improve model quality - Work Independently — Complete task-based assignments on your own schedule with full remote flexibility Who You Are - 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 at least one core area: aquatic chemistry, wastewater process design, air quality engineering, or hazardous waste remediation - Able to communicate complex engineering and ecological concepts clearly and precisely in writing - High attention to detail — especially for unit conversions, chemical equations, and regulatory compliance logic - Self-motivated and comfortable working independently on technical tasks - No prior AI experience required Nice to Have - Experience with data annotation, data quality, or evaluation systems - Familiarity with environmental modeling software (e.g., AERMOD, SWMM, GoldSim) - Background in EHS compliance or environmental impact assessment Why Join Us - Work on cutting-edge AI projects in collaboration with world-leading AI research labs - Fully remote and flexible — work on your own schedule, from anywhere - Freelance perks: autonomy, variety, and global collaboration - Apply your domain expertise in a new and growing field - Contribute to meaningful work that improves how AI handles real-world environmental challenges - Potential for ongoing work and contract extension
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