Environmental Engineering — AI Data Trainer

About The Role

We're looking for environmental engineering experts to help train and improve cutting-edge AI models. Your domain knowledge will directly shape how AI reasons through complex problems in water treatment, air quality, waste management, and environmental compliance — making a real impact on how the next generation of AI understands our planet.

This is a fully remote, flexible contract role. You set your schedule and work on your own terms.

- 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, mass balance in treatment plants, hydrology, and Life Cycle Assessments (LCA) to stress-test AI reasoning

- Author Gold-Standard Solutions — Write rigorous, step-by-step technical solutions — including chemical dosage calculations, hydraulic flow models, and pollutant dispersion simulations — that serve as reference benchmarks for AI training

- Technical Auditing — Evaluate AI-generated remediation plans, environmental impact statements, and mathematical proofs for accuracy, safety, and regulatory compliance (EPA, ISO 14001, and related standards)





- Refine AI Reasoning — Identify logical flaws such as incorrect stoichiometry in biological processes or overlooked secondary environmental impacts, and provide structured feedback that directly improves model performance

- Work Asynchronously — Complete task-based assignments independently 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

- Able to communicate complex engineering and ecological concepts clearly in writing

- High attention to detail — especially with unit conversions (e.g., mg/L to ppm), chemical equations, and regulatory logic

- No prior AI experience required

Nice to Have

- Experience with data annotation, data quality, or evaluation workflows

- Familiarity with environmental modeling software (e.g., AERMOD, SWMM, EPA tools)

- Background in EHS compliance or environmental impact assessment

Why Join Us

- Work on frontier AI projects in collaboration with leading AI research labs

- Fully remote and flexible — work when and where it suits you

- Freelance perks: autonomy, variety, and general collaboration

- Contribute to meaningful work that improves how AI understands environmental science

- Potential for ongoing work and contract extension

📌 Environmental Engineering - AI Data Trainer (Ciudad de México)
🏢 Alignerr
📍 Ciudad de México