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 technically rigorous AI models—and we need environmental engineers to make it happen. Your domain expertise will directly shape how AI understands and reasons through complex environmental challenges, from contaminant transport to regulatory compliance.
This is a rare opportunity to apply your graduate-level engineering knowledge in an AI cutting-edge context—no prior AI experience needed.
- Organization: Alignerr
- Type: Hourly contract
- Location: Remote
- Commitment: 10–40 hours/week
What You'll Do
- Design complex problems: Craft advanced environmental engineering scenarios across domains including:
- Contaminant transport
- Mass balance in treatment plants
- Hydrology
- Life Cycle Assessments (LCA)
- Author gold-standard solutions: Develop rigorous, step-by-step technical solutions such as:
- Chemical dosage calculations
- Hydraulic flow models
- Pollutant dispersion simulations (These serve as definitive reference answers)
- Audit AI outputs: Evaluate AI-generated outputs such as:
- Remediation plans
- Environmental impact statements
- Technical proofs For accuracy, safety, and alignment with regulatory standards (EPA, ISO 14001, and more).
- Improve AI reasoning: Identify logical errors in AI responses—such as:
- Flawed stoichiometry in biological processes
- Missing secondary environmental impacts (Provide structured feedback to sharpen model thinking.)
- Work independently: Complete assignments asynchronously, on your own schedule with full flexibility.
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Who You Are
- Qualifications: Pursuing or holding a Master's or PhD in:
- Environmental Engineering
- Civil Engineering (with an environmental focus)
- (or a closely related field)
- Technical Knowledge: Strong foundational expertise in one or more core environmental sustainability areas, including:
- Aquatic chemistry
- Wastewater process design
- Air quality engineering
- Hazardous waste remediation
- Communication Skills: Able to clearly articulate complex technical and ecological concepts in writing.
- Attention to Detail: Precisely handle unit conversions, chemical equations, and regulatory compliance logic.
- No prior AI or data annotation experience required.
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Nice to Have
- Experience with data annotation, data quality assessment, or evaluation workflows.
- Familiarity with environmental software tools (e.g., AERMOD, SWMM, EPA tools).
- Background in EHS compliance or environmental impact assessment.
Why Join Us
- Work on meaningful AI projects with top research labs and scientists.
- Fully remote and flexible—work on your schedule, anywhere.
- Gain firsthand exposure to how advanced large language models (LLMs) are trained and evaluated.
- Freelance perks:
- Autonomy
- Variety
- Collaboration with a globally distributed team
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
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