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 engineers to make it happen. Your deep technical knowledge will directly shape how AI understands and reasons through complex environmental problems, from wastewater treatment to hazardous waste remediation.
This is a rare opportunity to apply your graduate-level expertise in a cutting-edge AI context, working flexibly and remotely on your own schedule.
- 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 plants, hydrology, and Life Cycle Assessments (LCA)
- Author Gold-Standard Solutions — Develop rigorous, step-by-step technical solutions covering chemical dosage calculations, hydraulic flow models, and pollutant dispersion simulations that serve as benchmark responses
- Audit AI Outputs — Evaluate AI-generated remediation plans, environmental impact statements, and mathematical models for technical accuracy, safety, and regulatory compliance (EPA, ISO 14001, and more)
- Improve AI Reasoning — Identify flaws in AI logic — such as incorrect stoichiometry in biological processes or failure to account for secondary environmental impacts — and deliver structured feedback that sharpens model performance
- Work independently and asynchronously on your own schedule
Who You Are
- Pursuing or holding a Master's or PhD in Environmental Engineering, Civil Engineering (with an 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 engineering and ecological concepts clearly and precisely in writing
- Detail-oriented — comfortable checking unit conversions, chemical equations, and regulatory compliance logic with high accuracy
- Self-motivated and reliable when working independently
- No prior AI experience required
Nice to Have
- Experience with data annotation, data quality, or evaluation workflows
- Familiarity with environmental modeling software (e.g., AERMOD, SWMM, EPA tools)
- Background in EHS compliance or environmental policy
Why Join Us
- Work on cutting-edge AI projects alongside top-tier research labs
- Fully remote and flexible — set your own hours and workload
- Contribute meaningful domain expertise that shapes how AI handles real-world environmental challenges
- Freelance perks: autonomy, variety, and global collaboration
- Potential for ongoing work and contract extension
