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 new 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
