Alignerr
Environmental Engineering - AI Data Trainer
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Environmental Engineering – AI Data Trainer
About The Role
We're partnering with the world's leading AI research labs to build smarter, more accurate AI models — and we need environmental engineering experts to make it happen. Your deep domain knowledge will directly shape how AI understands and reasons through complex environmental challenges, from contaminant transport to regulatory compliance.
This is a rare opportunity to sit at the intersection of environmental science and cutting-edge AI — working remotely on your own schedule while leaving a lasting impact on how next-generation models think.
Organization: Alignerr
Type: Hourly Contract
Location: Remote
Commitment: 10–40 hours/week
What You'll Do
- Design Complex Problems — Craft advanced environmental engineering challenges across domains including contaminant transport, mass balance in treatment plants, hydrology, and Life Cycle Assessments (LCA)
- Author Ground-Truth Solutions — Develop rigorous, step-by-step technical solutions — chemical dosage calculations, hydraulic flow models, pollutant dispersion simulations — that serve as gold-standard reference answers
- Audit AI Outputs — Critically evaluate AI-generated remediation plans, environmental impact statements, and mathematical proofs for technical accuracy, safety, and regulatory adherence (EPA, ISO 14001, and more)
- Improve AI Reasoning — Identify logical failures in AI responses — such as incorrect stoichiometry in biological processes or overlooked secondary environmental impacts — and provide structured feedback that sharpens model thinking
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Who You Are
- Advanced Degree: Master's (pursuing or completed) or PhD in Environmental Engineering, Civil Engineering with an environmental focus, or a closely related field
- Domain Expertise: Strong foundational knowledge in aquatic chemistry, wastewater process design, air quality engineering, or hazardous waste remediation
- Strong Analytical Writer: Able to explain complex ecological and engineering concepts clearly and precisely in written form
- Detail-Oriented: High precision when checking unit conversions, chemical equations, and regulatory compliance logic
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No prior AI experience required — if you know environmental engineering, we'll handle the rest
Nice to Have
- Prior experience with data annotation, data quality, or evaluation systems
- Familiarity with environmental modeling software (e.g., AERMOD, SWMM, GoldSim)
- Experience with EHS compliance frameworks or environmental impact assessment
Why Join Us
- Work on genuinely cutting-edge AI projects alongside top research teams
- Fully remote and flexible — work when and where it suits you
- Freelance perks: autonomy, variety, and global collaboration
- Gain rare, firsthand exposure to how large language models are trained and evaluated
- Potential for ongoing work and contract extension
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