Job Description

Environmental Engineering — AI Data Trainer n

We're looking for environmental engineering professionals to help train and improve cutting-edge AI models. Your domain expertise will directly shape how AI understands and reasons through complex environmental challenges — from contaminant transport to regulatory compliance.

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This is a unique opportunity to apply your technical knowledge in a new way, working at the intersection of environmental science and artificial intelligence.

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- Organization: Alignerr
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- Type: Hourly Contract
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- Location: Remote
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- Commitment: 10–40 hours/week
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What You'll Do nn
- Design Complex Problems — Develop advanced environmental engineering challenges spanning contaminant transport, mass balance in treatment systems, hydrology, and Life Cycle Assessments (LCA)
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- Author Ground-Truth Solutions — Write rigorous, step-by-step technical solutions — including chemical dosage calculations, hydraulic flow models, and pollutant dispersion simulations — that serve as gold-standard reference responses
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- Audit AI Outputs — Evaluate AI-generated remediation plans, environmental impact statements, and mathematical reasoning for technical accuracy, safety, and regulatory compliance (EPA, ISO 14001, and others)
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- Refine AI Reasoning — Identify logical errors such as incorrect stoichiometry in biological processes or overlooked secondary environmental impacts,



then provide structured feedback to improve how the model thinks
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- Work independently and asynchronously on your own schedule
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Who You Are nn
- Pursuing or holding a Master's or PhD in Environmental Engineering, Civil Engineering (environmental focus), or a closely related field
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- Robust foundational knowledge in one or more of: aquatic chemistry, wastewater process design, air quality engineering, or hazardous waste remediation
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- Skilled at communicating complex technical concepts clearly and precisely in writing
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- Detail-oriented — you catch unit conversion errors (mg/L vs. ppm), flawed chemical equations, and gaps in regulatory logic
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- No prior AI experience required
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Nice to Have nn
- Experience with data annotation, quality evaluation, or technical review workflows
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- Familiarity with environmental modeling software (e.g., AERMOD, SWMM, EPANET)
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- Background in EHS compliance or environmental impact assessment
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Why Join Us nn
- Work on cutting-edge AI projects alongside top research labs and AI teams
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- Fully remote and flexible — work on your own schedule, from anywhere
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- Freelance autonomy with meaningful, intellectually engaging work
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- Directly influence how AI handles real-world environmental and engineering problems
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- Potential for ongoing work and contract extension
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📌 Environmental Engineering - AI Data Trainer (Newcastle)
🏢 Alignerr
📍 Newcastle