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Environmental Engineering - AI Data Trainer
Job description
Environmental Engineering – AI Data Trainer
About the Role
We partner with the world's leading AI research teams and labs to build and train cutting-edge AI models. Now we're looking for environmental engineering experts to help us make those models smarter, safer, and more technically rigorous.
Your domain knowledge — in water treatment, air quality, hazardous waste, and beyond — will directly shape how AI reasons through complex environmental problems. This is a rare opportunity to apply your graduate-level expertise in a high-impact, flexible freelance role at the frontier of AI development.
- Organization: Alignerr
- Type: Hourly Contract
- Location: Remote
- Commitment: 10–40 hours/week
What You'll Do
- Design Advanced Problems — Craft technically rigorous environmental engineering challenges spanning contaminant transport, mass balance in treatment plants, hydrology, Life Cycle Assessments (LCA), and more
- Author Gold-Standard Solutions — Develop step-by-step reference solutions including chemical dosage calculations, hydraulic flow models, and pollutant dispersion simulations that serve as benchmarks for AI outputs
- Audit AI Responses — Evaluate AI-generated remediation plans, environmental impact statements, and technical calculations for accuracy, safety, and regulatory compliance (EPA, ISO 14001, and similar standards)
- Sharpen AI Reasoning — Identify logical flaws in AI outputs — such as incorrect stoichiometry in biological processes or missing secondary environmental impacts — and provide structured feedback to improve model performance
- Work on Your Schedule — Complete assignments independently and asynchronously, with full flexibility over when and how much you work
Who You Are
- Pursuing or completed a Master's or PhD in Environmental Engineering, Civil Engineering (environmental focus), or a closely related field
- Strong foundational expertise 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
- Precise and detail-oriented — especially when it comes to unit conversions, chemical equations, and regulatory compliance logic
- No prior AI experience required — we'll get you up to speed
Nice to Have
- Experience with data annotation, quality evaluation, or technical review workflows
- Familiarity with environmental modeling software (e.g., AERMOD, SWMM, EPA models)
- Background in EHS compliance or environmental consulting
Why Join Us
- Work on cutting-edge AI projects with top research labs and organizations
- Fully remote and flexible — work on your own schedule, from anywhere
- Freelance autonomy with the variety of meaningful, intellectually stimulating work
- Make a real impact — your expertise helps ensure AI gets environmental engineering right
- Potential for ongoing work and contract extension
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