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 candidate will audit AI-generated outputs for accuracy and provide feedback to improve AI reasoning.

Requirements

Candidates should have a Master's or PhD in Environmental Engineering or a related field, with strong knowledge in areas like aquatic chemistry and air quality engineering. Clear communication skills and attention to detail are essential, while 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