Overview
Environmental Engineering – AI Data Trainer Jobs in Vancouver, British Columbia, Canada at Alignerr
Title: Environmental Engineering – AI Data Trainer
Company: Alignerr
Location: Vancouver, British Columbia, Canada
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, 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
