Environmental Engineering - AI Data Trainer

About the Role

We're partnering with the world's leading AI research labs to build smarter, more technically rigorous AI models — and we need environmental engineers to make it happen. Your domain expertise will directly shape how AI reasons through real-world problems in water treatment, air quality, hazardous waste, and environmental compliance.

This is a rare opportunity to sit at the intersection of environmental science and cutting-edge AI — without leaving your home office.

• Organization: Alignerr
• Type: Hourly Contract
• Location: Remote
• Commitment: 10–40 hours/week

What You'll Do

• Design Challenging Problems — Craft advanced environmental engineering scenarios spanning contaminant transport, mass balance in treatment systems, hydrology, and Life Cycle Assessments (LCA) that push AI models to their limits
• Build Ground-Truth Solutions — Author rigorous, step-by-step technical solutions including chemical dosage calculations, hydraulic flow models, and pollutant dispersion simulations that serve as the benchmark for AI responses
• Audit AI Outputs — Evaluate AI-generated remediation plans, environmental impact statements, and mathematical reasoning for technical accuracy, safety, and regulatory compliance (e.g., EPA standards, ISO 14001)
• Sharpen AI Reasoning — Identify where AI goes wrong — incorrect stoichiometry, flawed mass balances, overlooked secondary impacts — and provide structured feedback that improves how models think through environmental problems
• Work Independently — Complete task-based assignments asynchronously on a schedule that fits your life

Who You Are

• Pursuing or holding a Master's or PhD in Environmental Engineering, Civil Engineering (environmental focus), or a closely related discipline
• Strong foundational knowledge in one or more core areas: aquatic chemistry, wastewater process design, air quality engineering, or hazardous waste remediation
• Able to communicate complex technical and ecological concepts clearly in writing
• Highly precise — comfortable checking unit conversions, chemical equations, and regulatory logic for errors
• No prior AI experience required — we'll bring you up to speed

Nice to Have

• Prior experience with data annotation, quality evaluation, or technical review workflows
• Familiarity with environmental modeling software (e.g., AERMOD, SWMM, or similar)
• Experience writing technical reports, environmental assessments, or academic research

Why Join Us

• Work on cutting-edge AI projects with top AI research labs and teams
• Fully remote and flexible — work on your own schedule, anywhere in the world
• Freelance autonomy: no meetings, no commute, no office politics
• Contribute to meaningful work that improves how AI handles real environmental challenges
• Gain direct exposure to how large language models are trained and evaluated
• Potential for ongoing work and contract extension