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 — and we need environmental engineers to help get there. As an AI Data Trainer, you'll stress-test cutting-edge language models on real-world environmental engineering challenges, expose their blind spots, and help shape how AI reasons through complex technical problems.
This is a rare opportunity to apply your domain expertise in a brand-new way — from anywhere in the world, on your own schedule.
- Organization: Alignerr
- Type: Hourly Contract
- Location: Remote
- Commitment: 10–40 hours/week
What You'll Do
- Design Advanced Technical Problems: Create challenging environmental engineering scenarios spanning contaminant transport, mass balance in treatment plants, hydrology, pollutant dispersion, and Life Cycle Assessments (LCA)
- Author Gold-Standard Solutions: Develop rigorous, step-by-step solutions including chemical dosage calculations, hydraulic flow models, and simulation outputs that serve as reference benchmarks for AI training
- Audit AI Outputs: Evaluate AI-generated remediation plans, environmental impact statements, and technical calculations for accuracy, safety, and regulatory compliance (EPA, ISO 14001, and more)
- Refine AI Reasoning: Identify logical errors such as incorrect stoichiometry, flawed dispersion modeling, or missed secondary environmental impacts, and provide structured feedback to improve model performance
- Work Independently: Complete task-based assignments asynchronously on your own schedule
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Who You Are
- Holds or is pursuing a Master's or PhD in Environmental Engineering, Civil Engineering (environmental focus), or a closely related field
- Strong foundational knowledge in one or more core areas: aquatic chemistry, wastewater process design, air quality engineering, or hazardous waste remediation
- Able to communicate complex technical concepts clearly and precisely in writing
- High attention to detail — comfortable catching unit conversion errors (e.g., mg/L to ppm), verifying chemical equations, and checking regulatory compliance logic
- Self-motivated and reliable in a remote, async work environment
- No prior AI experience required
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Nice to Have
- Experience with data annotation, quality evaluation, or technical review workflows
- Familiarity with environmental modeling software (e.g., AERMOD, SWMM, or similar)
- Background in EHS compliance or regulatory affairs
Why Join Us
- Work on cutting-edge AI projects with top research labs and make a direct impact on how AI handles environmental science
- Fully remote and flexible — work when and where it suits you
- Freelance autonomy with the structure and support of a global team
- Engage with intellectually stimulating, domain-specific challenges that go beyond typical consulting or industry work
- Potential for ongoing work and contract extension
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Jessica, London
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