Environmental Engineering, AI Data Trainer
Alignerr
Mumbai, Maharashtra, IndiaFresher1h agovia LinkedIn
About the Role
Alignerr partners with leading AI research labs to build smarter, safer AI models. As an Environmental Engineering AI Data Trainer, you will stress-test cutting-edge language models, expose their blind spots, and help train them to reason correctly across complex environmental systems.
- Organization: Alignerr
- Type: Hourly Contract
- Location: Remote
- Commitment: 10–40 hours/week
Key Responsibilities
- Design advanced environmental engineering scenarios across contaminant transport, mass balance in treatment systems, hydrology, LCA, and more.
- Write rigorous, step-by-step technical solutions—from chemical dosage calculations to hydraulic flow models—that serve as the benchmark for AI responses.
- Critically evaluate AI-generated remediation plans, environmental impact statements, and engineering calculations for technical accuracy, safety, and regulatory compliance (e.g., EPA, ISO 14001).
- Identify flawed logic in AI responses (e.g., incorrect stoichiometry, missing secondary impacts, improper unit conversions) and provide structured feedback to improve model reasoning.
Requirements & Tech Stack
- 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.
- Ability to communicate complex technical concepts clearly and precisely in writing.
- Detail-oriented.
- 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).