Environmental Engineering – AI Data Trainer About The Role We're partnering with the world's leading AI research labs to build smarter, safer AI — and we need environmental engineers to help get it right. As an AI Data Trainer, you'll stress-test advanced language models on complex environmental engineering problems, expose their weaknesses, and help shape how AI reasons through real-world technical challenges. This is a rare chance to apply your deep domain expertise in a high-impact, forward-looking role — without leaving your home office.

Organization: Alignerr

Type: Hourly Contract

Location: Remote

Commitment: 10–40 hours/week What You'll Do Design Complex Problems — Craft advanced environmental engineering challenges spanning contaminant transport, wastewater treatment mass balances, hydrology, air quality modeling, and Life Cycle Assessments (LCA)

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 definitive reference answers

Audit AI Outputs — Critically evaluate AI-generated remediation plans, environmental impact statements, and regulatory compliance analyses for technical accuracy and adherence to standards such as EPA regulations and ISO 14001

Refine AI Reasoning — Identify logical flaws in model responses (e.g., incorrect stoichiometry, overlooked secondary impacts) and provide structured,



expert feedback that directly improves how AI thinks through environmental problems Who You Are Pursuing or holding a Master's or PhD in Environmental Engineering, Civil Engineering (environmental focus), or a closely related discipline

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 and precisely in writing

Meticulous with unit conversions, chemical equations, and regulatory compliance logic

No prior AI experience required — your engineering expertise is what matters Nice to Have Experience with data annotation, data quality review, or evaluation systems

Familiarity with environmental modeling software (e.g., AERMOD, SWMM, or similar tools)

Background in EHS compliance or environmental consulting Why Join Us Work on cutting-edge AI projects alongside top research labs and AI teams

Fully remote and flexible — work on your own schedule, 10–40 hours per week

Gain hands-on exposure to how large language models (LLMs) are trained and evaluated

Freelance perks: autonomy, variety, and collaboration with a global network of experts

Meaningful work — your contributions directly improve how AI handles real-world environmental challenges

Potential for ongoing work and contract extension

📌 Environmental Engineering - AI Data Trainer (Edmonton)
🏢 Alignerr
📍 Edmonton