Environmental Engineering – AI Data Trainer

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, adaptable 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

📌 Environmental Engineering (Vancouver)
🏢 Alignerr
📍 Vancouver