Environmental Engineering - AI Data Trainer
Boston, MA
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 make AI smarter in specialized technical domains — and we need environmental engineers to help get it right.
As an Environmental Engineering AI Data Trainer, you'll stress-test advanced language models on complex, real-world problems across water treatment, air quality, hazardous waste, and environmental compliance. Your expertise will directly shape how the next generation of AI reasons through environmental engineering challenges.
This is a rare opportunity to apply your deep technical knowledge in a flexible, remote freelance capacity — while contributing to some of the most impactful AI development happening today.
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 make AI smarter in specialized technical domains — and we need environmental engineers to help get it right.
As an Environmental Engineering AI Data Trainer, you'll stress-test advanced language models on complex, real-world problems across water treatment, air quality, hazardous waste, and environmental compliance. Your expertise will directly shape how the next generation of AI reasons through environmental engineering challenges.
This is a rare opportunity to apply your deep technical knowledge in a flexible, remote freelance capacity — while contributing to some of the most impactful AI development happening today.
- Organization: Alignerr
- Type: Hourly Contract
- Location: Remote
- Commitment: 10–40 hours/week
What You'll Do
- Design Complex Problems — Craft advanced environmental engineering scenarios spanning contaminant transport, mass balance in treatment plants, hydrology, Life Cycle Assessments (LCA), and more
- 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 benchmarks for AI responses
- Audit AI Outputs — Critically evaluate AI-generated remediation plans, environmental impact statements, and mathematical proofs for technical accuracy, regulatory compliance, and safety
- Sharpen AI Reasoning — Identify logical errors in AI outputs — such as incorrect stoichiometry, missing secondary impacts, or regulatory misapplications — and provide structured feedback to improve model reasoning
Who You Are
- Advanced Degree — Pursuing or holding a Master's or PhD in Environmental Engineering, Civil Engineering (environmental focus), or a closely related field
- Domain Expertise — Strong foundational knowledge in areas such as aquatic chemistry, wastewater process design, air quality engineering, or hazardous waste remediation
- Analytical Communicator — Able to explain complex ecological and engineering concepts clearly and precisely in writing
- Detail-Oriented — Meticulous when checking unit conversions (e.g., mg/L to ppm), chemical equations, and regulatory compliance logic
- No AI experience required — your engineering expertise is what matters
Nice to Have
- Prior experience with data annotation, quality evaluation, or review systems
- Familiarity with environmental modeling software (e.g., SWMM, AERMOD, GoldSim)
- Knowledge of regulatory frameworks such as EPA standards or ISO 14001
Why Join Us
- Work on cutting-edge AI — Collaborate with top AI research teams on models that are shaping the future of technical reasoning
- Fully remote and flexible — Work on your own schedule, from anywhere
- Meaningful impact — Your expertise helps ensure AI gets environmental engineering right, with real-world consequences for safety and compliance
- Freelance autonomy — Enjoy the independence of contract work with the backing of a global team
- Potential for ongoing work — Strong contributors are considered for contract extensions and new projects
Skills
Education and TrainingTechnology, Information and Internet