Designing environmental engineering scenarios, writing worked solutions and auditing AI remediation and compliance outputs. Suits environmental or civil engineers with graduate training who check units and calculations carefully.
Sobre a vaga
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.
- 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
- No AI experience required — your engineering expertise is what matters
- 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
Fonte oficial: alignerr.com. Os detalhes podem mudar; vale o que diz a página da plataforma.Algo errado com esta vaga? Avise a gente.
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