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 integral collaboration
• Contribute to meaningful work that improves how AI understands environmental science
• Potential for ongoing work and contract extension

📌 Environmental Engineering (Ciudad de México)
🏢 Alignerr
📍 Ciudad de México