Environmental Engineering - AI Data Trainer

Environmental Engineering – AI Data Trainer About The Role We're looking for environmental engineering experts to help train and improve advanced AI models on technically demanding topics. Your domain knowledge will directly shape how AI understands and reasons through real-world environmental challenges — from contaminant transport to regulatory compliance. This is a fully remote, flexible contract role working with Alignerr, a company that partners with the world's leading AI research teams and labs. Organization: Alignerr Type: Hourly Contract Location: Remote Commitment: 10–40 hours/week What You'll Do Design Complex Engineering Problems — Develop advanced, multi-step problems spanning contaminant transport, mass balance in treatment plants, hydrology, Life Cycle Assessments (LCA), and more Author Ground-Truth Solutions — Write rigorous, step-by-step technical solutions — including chemical dosage calculations, hydraulic flow models, and pollutant dispersion simulations — that serve as benchmark responses for AI training Audit AI Outputs — Evaluate AI-generated remediation plans, environmental impact statements, and mathematical derivations for technical accuracy, safety, and regulatory compliance (EPA, ISO 14001, etc.) Refine AI Reasoning — Identify logical errors in AI reasoning — such as incorrect stoichiometry in biological treatment processes or failure to account for secondary environmental impacts — and provide structured feedback to improve model thinking 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 concepts clearly and precisely in written form Meticulous with unit conversions, chemical equations, and regulatory compliance logic Self-motivated and comfortable working independently and asynchronously No prior AI experience required Nice to Have Experience with data annotation, data quality review, or evaluation systems Familiarity with environmental modeling software (e.g., AERMOD, SWMM, WASP) Background in EHS compliance or environmental consulting Why Join Us Work on cutting-edge AI projects alongside top AI research labs Fully remote and flexible — work on your schedule, as much or as little as you want Freelance perks: autonomy, variety, and global collaboration Gain rare insight into how large language models are trained and evaluated Meaningful work that advances how AI handles critical environmental and scientific topics Potential for ongoing work and contract extension

The role involves designing complex engineering problems and authoring ground-truth solutions for AI training. Additionally, the candidate will audit AI outputs and refine AI reasoning to improve model accuracy.

Candidates should be pursuing or holding a Master's or PhD in Environmental Engineering or a closely related field, with strong foundational knowledge in relevant areas. Clear communication of complex engineering concepts and meticulous attention to detail are essential.

Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.

• Environmental Engineering
• AI Training
• Contaminant Transport
• Regulatory Compliance
• Aquatic Chemistry
• Wastewater Process Design
• Air Quality Engineering
• Hazardous Waste Remediation
• Technical Writing
• Data Annotation
• Environmental Modeling Software
• EHS Compliance
• Environmental Consulting

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