Environmental Engineering - AI Data Trainer

Role responsibilities

The role involves designing advanced technical problems in environmental engineering and authoring gold-standard solutions for AI models. Additionally, the position requires auditing AI-generated outputs and providing feedback to improve AI reasoning.

Requirements

Candidates should be pursuing or have completed a Master's or PhD in Environmental Engineering or a related field, with strong foundational knowledge in relevant areas. Attention to detail and the ability to communicate complex concepts clearly are essential, though prior AI experience is not required.

Key skills

Environmental Engineering, Aquatic Chemistry, Wastewater Process Design, Air Quality Engineering, Hazardous Waste Remediation, Technical Writing, Attention to Detail, Data Annotation, Environmental Modeling Software, EHS Compliance, Environmental Permitting

Keywords

Environmental Engineering, AI, Data Trainer, Contaminant Transport, Mass Balance, Hydrology, Air Quality Modeling, Life Cycle Assessments, Chemical Dosage Calculations, Hydraulic Flow Models, Pollutant Dispersion Simulations, EPA, ISO 14001, Data Annotation, Environmental Modeling Software, EHS Compliance, Environmental Permitting