Environmental Engineering —

- AI Data Trainer

About The Role

We're looking for environmental engineering professionals to help train and improve cutting-edge AI models. Your domain expertise will directly shape how AI understands and reasons through complex environmental challenges — from contaminant transport to regulatory compliance.

This is a unique opportunity to apply your technical knowledge in a recent way, working at the intersection of environmental science and artificial intelligence.

- Organization: Alignerr
- Type: Hourly Contract
- Location: Remote
- Commitment: 10–40 hours/week

What You'll Do

- Design Complex Problems —
- Develop advanced environmental engineering challenges spanning contaminant transport, mass balance in treatment systems, hydrology, and Life Cycle Assessments (LCA)
- Author Ground-Truth Solutions —
- Write rigorous, step-by-step technical solutions — including chemical dosage calculations, hydraulic flow models, and pollutant dispersion simulations — that serve as gold-standard reference responses
- Audit AI Outputs —
- Evaluate AI-generated remediation plans, environmental impact statements, and mathematical reasoning for technical accuracy, safety, and regulatory compliance (EPA, ISO 14001, and others)
- Refine AI Reasoning —




- Identify logical errors such as incorrect stoichiometry in biological processes or overlooked secondary environmental impacts, then provide structured feedback to improve how the model thinks
- Work independently and asynchronously on your own schedule

Who You Are

- Pursuing or holding a Master's or PhD in Environmental Engineering, Civil Engineering (environmental focus), or a closely related field
- Strong foundational knowledge in one or more of: aquatic chemistry, wastewater process design, air quality engineering, or hazardous waste remediation
- Skilled at communicating complex technical concepts clearly and precisely in writing
- Detail-oriented — you catch unit conversion errors (mg/L vs. ppm), flawed chemical equations, and gaps in regulatory logic
- No prior AI experience required

Nice to Have

- Experience with data annotation, quality evaluation, or technical review workflows
- Familiarity with environmental modeling software (e.g., AERMOD, SWMM, EPANET)
- Background in EHS compliance or environmental impact assessment

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, from anywhere
- Freelance autonomy with meaningful, intellectually engaging work
- Directly influence how AI handles real-world environmental and engineering problems
- Potential for ongoing work and contract extension

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