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 current 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 (Wollongong)
🏢 Alignerr
📍 Wollongong