About the Role
We're looking for environmental engineering experts to help train and improve cutting-edge AI models. Your domain knowledge will directly shape how AI reasons through complex problems in water treatment, air quality, waste management, and environmental compliance — making a real impact on how the next generation of AI understands our planet.
This is a fully remote, flexible contract role. You set your schedule and work on your own terms.
- Organization: Alignerr
- Type: Hourly Contract
- Location: Remote
- Commitment: 10–40 hours/week
What You'll Do
- Design Complex Problems — Craft advanced environmental engineering challenges spanning contaminant transport, mass balance in treatment plants, hydrology, and Life Cycle Assessments (LCA) to stress-test AI reasoning
- Author Gold-Standard Solutions — Write rigorous, step-by-step technical solutions — including chemical dosage calculations, hydraulic flow models, and pollutant dispersion simulations — that serve as reference benchmarks for AI training
- Technical Auditing — Evaluate AI-generated remediation plans, environmental impact statements, and mathematical proofs for accuracy, safety, and regulatory compliance (EPA, ISO 14001, and related standards)
- Refine AI Reasoning — Identify logical flaws such as incorrect stoichiometry in biological processes or overlooked secondary environmental impacts, and provide structured feedback that directly improves model performance
- Work Asynchronously — Complete task-based assignments independently on your own schedule
Who You Are
- Pursuing or holding a Master's or PhD in Environmental Engineering, Civil Engineering (environmental focus), or a closely related field
- Strong foundational knowledge in one or more of: aquatic chemistry, wastewater process design, air quality engineering, or hazardous waste remediation
- Able to communicate complex engineering and ecological concepts clearly in writing
- High attention to detail — especially with unit conversions (e.g., mg/L to ppm), chemical equations, and regulatory logic
- 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 impact assessment
Why Join Us
- Work on frontier AI projects in collaboration with leading AI research labs
- Fully remote and flexible — work when and where it suits you
- Freelance perks: autonomy, variety, and global collaboration
- Contribute to meaningful work that improves how AI understands environmental science
- Potential for ongoing work and contract extension