Environmental Engineering - AI Data Trainer
About this role
About the Role AI is rapidly advancing into highly specialized scientific domains — and it needs experts like you to get it right. We're looking for environmental engineers to help train and evaluate cutting-edge AI models on complex topics like water treatment, air quality, contaminant transport, and hazardous waste remediation. Your domain knowledge will directly shape how AI reasons through real-world environmental problems — improving accuracy, safety, and technical rigor across the models that millions of people will rely on. - Organization: Alignerr - Type: Hourly Contract - Location: Remote - Commitment: 10–40 hours/week What You'll Do - Design Advanced Technical Problems — Craft challenging environmental engineering scenarios across domains including contaminant transport, mass balance in treatment plants, hydrology, and Life Cycle Assessments (LCA) - Author Gold-Standard Solutions — Develop rigorous, step-by-step responses including chemical dosage calculations, hydraulic flow models, and pollutant dispersion simulations that serve as definitive reference answers - Audit AI-Generated Outputs — Critically evaluate AI-produced remediation plans, environmental impact statements, and regulatory analyses for technical accuracy, safety, and compliance with standards like EPA regulations and ISO 14001 - Refine AI Reasoning — Identify flaws in model logic — such as incorrect stoichiometry in biological processes or failure to account for secondary environmental impacts — and provide structured feedback to improve how the model thinks - Stress-Test Model Limits — Probe AI systems with edge cases and domain-specific challenges to expose weaknesses and drive meaningful improvements Who You Are - Holds or is pursuing a Master's or PhD in Environmental Engineering, Civil Engineering (with 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 and ecological concepts clearly in written form - Meticulous attention to detail — especially around unit conversions, chemical equations, and regulatory compliance logic - Self-motivated and comfortable working independently on an async, flexible schedule - No prior AI experience required Nice to Have - Experience with data annotation, data quality, or technical evaluation workflows - Familiarity with environmental modeling software (e.g., AERMOD, SWMM, EPA tools) - Background in EHS compliance or environmental consulting Why Join Us - Work on some of the most technically ambitious AI projects in the world - Fully remote and flexible — work on your own schedule, from anywhere - Freelance autonomy with the support of a collaborative global team - Contribute to meaningful work at the intersection of environmental science and AI - Potential for ongoing work and contract extension
Application listings
Choose a source listing and check its country requirements.