Environmental Engineering - AI Data Trainer

Environmental Engineering – AI Data Trainer

About The Role

AI is increasingly being used to reason through complex environmental challenges — but it needs expert guidance to get it right. We're looking for environmental engineers to help train and improve advanced AI models by stress-testing their knowledge, identifying gaps, and building the gold-standard solutions that make these systems smarter and safer.

This is a unique opportunity to apply your deep technical expertise in a new frontier: shaping how the next generation of AI understands water treatment, air quality, waste management, and environmental compliance.

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

What You'll Do

• Design Expert-Level Problems — Develop complex, domain-specific challenges spanning contaminant transport, wastewater process design, hydrology, pollutant dispersion, and Life Cycle Assessments (LCA)
• Author Gold-Standard Solutions — Write rigorous, step-by-step technical solutions — including chemical dosage calculations, hydraulic flow models, and mass balance analyses — that serve as the benchmark for AI responses
• Audit AI Outputs — Evaluate AI-generated remediation plans, environmental impact statements, and engineering calculations for technical accuracy, regulatory adherence (EPA, ISO 14001), and safety
• Improve AI Reasoning — Identify logical errors in AI thinking — such as incorrect stoichiometry, flawed hydraulic assumptions, or failure to account for secondary environmental impacts — and provide structured, expert feedback
• Work Independently — Complete task-based assignments on your own schedule, with full flexibility over when and how much you work

Who You Are

• Advanced Degree in Environmental Engineering, Civil Engineering (with environmental focus), or a closely related field — Master's (pursuing or completed) or PhD
• Deep Domain Knowledge in one or more of: aquatic chemistry, wastewater process design, air quality engineering, hazardous waste remediation, or EHS compliance
• Strong Analytical Writer — able to communicate complex engineering concepts clearly and precisely in written form
• Detail-Oriented — comfortable checking unit conversions (mg/L, ppm, etc.), chemical equations, and regulatory logic with a high degree of precision
• No prior AI experience required — if you know environmental engineering, we'll handle the rest

Nice to Have

• Experience with data annotation, data labeling, or evaluation systems
• Familiarity with environmental modeling software (e.g., AERMOD, SWMM, GoldSim)
• Background in EHS consulting, regulatory compliance, or environmental impact assessment

Why Join Us

• Work on cutting-edge AI projects alongside world-leading AI research teams
• Fully remote and flexible — work on your own schedule, from anywhere
• Freelance autonomy: you choose your hours and workload (10–40 hrs/week)
• Apply your expertise to meaningful work that shapes how AI understands the natural world
• Potential for ongoing work and contract extension as projects grow