Environmental Engineering - AI Data Trainer
About this role
About the Role AI is advancing fast — but it still makes mistakes that only a real expert can catch. We're looking for environmental engineers to help train and evaluate cutting-edge AI models on complex technical topics like wastewater treatment, air quality management, hazardous waste remediation, and regulatory compliance. Your domain knowledge will directly shape how AI reasons through real-world environmental problems — making these systems safer, smarter, and more reliable for engineers and researchers worldwide. - Organization: Alignerr - Type: Hourly Contract - Location: Remote - Commitment: 10–40 hours/week --- What You'll Do - Design Challenging Problems — Develop advanced technical problems spanning contaminant transport, mass balance in treatment plants, hydrology, pollutant dispersion, and Life Cycle Assessments (LCA) - Author Gold-Standard Solutions — Write rigorous, step-by-step solutions — including chemical dosage calculations, hydraulic flow models, and remediation plans — that serve as benchmark responses for AI training - Audit AI Outputs — Evaluate AI-generated environmental impact statements, remediation plans, and engineering calculations for technical accuracy, regulatory compliance (EPA, ISO 14001), and safety - Improve AI Reasoning — Identify logical errors in AI outputs — such as incorrect stoichiometry, flawed hydraulic assumptions, or overlooked secondary environmental impacts — and provide structured feedback to improve model performance - Work Asynchronously — Complete tasks independently on a schedule that fits your life --- Who You Are - Advanced Degree in Environmental Engineering, Civil Engineering (with environmental focus), or a closely related field — Masters (pursuing or completed) or PhD - Strong Domain Knowledge in one or more areas: aquatic chemistry, wastewater process design, air quality engineering, solid/hazardous waste management, or environmental remediation - Precise and Detail-Oriented — Comfortable checking unit conversions, chemical equations, and regulatory logic with a high degree of accuracy - Clear Technical Writer — Able to explain complex engineering and ecological concepts in structured, well-reasoned written form - No prior AI experience required — we'll get you up to speed Nice to Have - Experience with data annotation, data quality review, or evaluation workflows - Familiarity with environmental modeling software (e.g., AERMOD, SWMM, MODFLOW) - Background in EHS compliance or environmental consulting --- Why Join Us - Use your expertise differently — apply your engineering knowledge to a growing field at the frontier of AI development - Fully remote and flexible — work from anywhere, on your own schedule - Meaningful impact — your feedback directly improves how AI handles real environmental engineering challenges - Collaborate globally — work alongside a diverse network of domain experts and AI researchers - Ongoing opportunity — strong performers are considered for contract extensions and additional projects
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