Environmental Engineering - AI Data Trainer
Seattle, WA
Contract
Remote
1 month ago
About the role
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. As an AI Data Trainer, your domain expertise will directly shape how AI understands and reasons through complex environmental engineering problems, from contaminant transport to regulatory compliance.
This is a rare opportunity to sit at the intersection of environmental science and cutting-edge artificial intelligence — no prior AI experience required.
What You'll Do
Who You Are
Nice to Have
Why Join Us
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. As an AI Data Trainer, your domain expertise will directly shape how AI understands and reasons through complex environmental engineering problems, from contaminant transport to regulatory compliance.
This is a rare opportunity to sit at the intersection of environmental science and cutting-edge artificial intelligence — no prior AI experience required.
- Organization: Alignerr
- Type: Hourly Contract
- Location: Remote
- Commitment: 10–40 hours/week
What You'll Do
- Design Advanced Technical Problems — Craft challenging, real-world environmental engineering scenarios across domains including contaminant transport, mass balance in treatment plants, hydrology, and Life Cycle Assessments (LCA)
- Author Ground-Truth Solutions — Develop rigorous, step-by-step reference solutions — including chemical dosage calculations, hydraulic flow models, and pollutant dispersion simulations — that serve as the gold standard for AI responses
- Audit AI Outputs — Critically evaluate AI-generated remediation plans, environmental impact statements, and mathematical proofs for technical accuracy, safety, and adherence to regulatory standards (EPA, ISO 14001, and others)
- Refine AI Reasoning — Identify logical errors in AI responses — such as incorrect stoichiometry in biological treatment processes or failure to account for secondary environmental impacts — and provide structured feedback to improve model performance
- Work Independently — Complete task-based assignments on a flexible, asynchronous schedule that fits your life
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 core areas: aquatic chemistry, wastewater process design, air quality engineering, or hazardous waste remediation
- Able to communicate complex technical and ecological concepts clearly and precisely in writing
- Detail-oriented — confident checking unit conversions (mg/L to ppm), balancing chemical equations, and verifying regulatory compliance logic
- Self-motivated and comfortable working independently on analytical tasks
- No prior AI experience required
Nice to Have
- Experience with data annotation, data quality review, or evaluation workflows
- Familiarity with environmental modeling software (e.g., AERMOD, SWMM, EPANET)
- Background in EHS compliance, environmental permitting, or regulatory frameworks
Why Join Us
- Work on cutting-edge AI projects with top research labs and organizations at the forefront of AI development
- Fully remote and flexible — work on your own schedule, from anywhere
- Freelance perks: autonomy, variety, and global collaboration
- Apply your environmental engineering expertise in a meaningful new context
- Potential for ongoing work and contract extension
Skills
Education and TrainingTechnology, Information and Internet