Alignerr
Environmental Engineering - AI Data Trainer
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Environmental Engineering - AI Data Trainer
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 — and we need environmental engineers to make it happen. As an AI Data Trainer, you’ll use your domain expertise to challenge, evaluate, and refine advanced language models on complex environmental engineering topics. Your technical knowledge directly shapes how AI reasons about real-world problems like contaminant transport, wastewater treatment, and regulatory compliance.
This is a fully remote, flexible contract role — work on your schedule, on problems that matter.
Organization: Alignerr Type: Hourly Contract Location: Remote Commitment: 10–40 hours/week
What You’ll Do
- Design Advanced Technical Problems — Craft challenging environmental engineering scenarios across domains including:
- Contaminant transport
- Mass balance in treatment systems
- Hydrology
- Life Cycle Assessments (LCA)
- Author Gold-Standard Solutions — Develop rigorous, step-by-step technical responses covering:
- Chemical dosage calculations
- Hydraulic flow models
- Pollutant dispersion simulations (as reference benchmarks)
- Audit AI Outputs — Critically evaluate AI-generated:
- Remediation plans
- Environmental impact statements
- Mathematical proofs For technical accuracy, safety, and compliance with standards such as:
- EPA regulations
- ISO 14001
- Sharpen AI Reasoning — Identify and correct logical errors, such as:
- Incorrect stoichiometry in biochemical processes
- Failure to account for secondary environmental impacts Provide structured feedback to improve model thinking.
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Who You Are
Strictly Essential:
- Advanced Degree — Master’s (pursuing/completed) or PhD in Environmental Engineering, Civil Engineering (with an environmental focus), or a closely related discipline.
- Deep Domain Knowledge — Strong expertise in at least one of:
- Aquatic chemistry
- Wastewater process design
- Air quality engineering
- Hazardous waste remediation
- Clear Technical Communicator — Able to explain complex engineering and ecological concepts precisely and concisely in writing.
- Precision-Oriented — Exceptional attention to detail when reviewing:
- Unit conversions
- Chemical equations
- Regulatory logic
- Numerical calculations
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Nice to Have:
- Prior experience with data annotation, data quality, or evaluation workflows
- Familiarity with environmental modelling software (e.g., AERMOD, SWMM, EPA tools)
- Experience writing technical reports or regulatory documentation
Why Join Us?
- Work on some of the most advanced AI projects in the world, alongside top research labs
- Fully remote, async role — structure your time to fit your needs
- Freelance autonomy, with opportunities to tackle highly intellectual, impactful problems
- Apply your expertise in a growing, high-impact field
- Potential for ongoing work and contract extension
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Jessica, London
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