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 adaptable — work when and where it suits you

Freelance perks: autonomy, variety, and global 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