Environmental Engineering – AI Data Trainer About The Role What if your environmental engineering expertise could help shape how the world's most advanced AI thinks about water treatment, air quality, and hazardous waste remediation? At Alignerr, we partner with leading AI research labs to build smarter, safer AI models — and we need domain experts like you to make it happen. As an Environmental Engineering AI Data Trainer, you'll stress-test cutting-edge language models, expose their blind spots, and help train them to reason correctly across complex environmental systems.

This is a fully remote, versatile contract role where your technical depth directly influences the quality of next-generation AI.

Organization: Alignerr

Type: Hourly Contract

Location: Remote

Commitment: 10–40 hours/week What You'll Do Design Challenging Problems — Develop advanced environmental engineering scenarios across contaminant transport, mass balance in treatment systems, hydrology, LCA, and more

Author Gold-Standard Solutions — Write rigorous, step-by-step technical solutions — from chemical dosage calculations to hydraulic flow models — that serve as the benchmark for AI responses

Audit AI Outputs — Critically evaluate AI-generated remediation plans, environmental impact statements, and engineering calculations for technical accuracy, safety, and regulatory compliance (EPA, ISO 14001, etc.)





Sharpen AI Reasoning — Identify flawed logic in AI responses — such as incorrect stoichiometry, missing secondary impacts, or improper unit conversions — and provide structured feedback to improve how models think 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 at least one of: aquatic chemistry, wastewater process design, air quality engineering, or hazardous waste remediation

Able to communicate complex technical concepts clearly and precisely in writing

Detail-oriented — you catch unit conversion errors, broken stoichiometry, and regulatory gaps that others miss

No prior AI or data annotation experience required Nice to Have Experience with data annotation, data quality review, or evaluation frameworks

Familiarity with environmental modeling software (e.g., AERMOD, EPANET, SimaPro) Why Join Us Work at the frontier of AI development alongside top research teams

Fully remote and asynchronous — work when and where it suits you

Freelance flexibility with the potential for ongoing contract work

Rare opportunity to apply deep technical expertise in a high-impact, non-traditional role

Contribute to AI systems that will reason about real-world environmental challenges

📌 Environmental Engineering - AI Data Trainer (Mumbai)
🏢 Alignerr
📍 Mumbai