Environmental Engineering - AI Data Trainer

Role responsibilities

As an AI Data Trainer, you will design complex environmental engineering problems and author gold-standard solutions for AI training. You will also audit AI outputs for accuracy and provide feedback to improve AI reasoning.

Requirements

Candidates should hold or be pursuing a Master's or PhD in Environmental Engineering or a related field, with strong foundational knowledge in core areas. No prior AI experience is required, but attention to detail and clear communication of technical concepts are essential.

Key skills

Environmental Engineering, Water Treatment, Air Quality, Contaminant Transport, Environmental Compliance, Technical Writing, Attention to Detail, Data Annotation, Environmental Modeling Software, EHS Compliance, Environmental Consulting

Keywords

AI, Environmental Engineering, Water Treatment, Air Quality, Contaminant Transport, Environmental Compliance, Technical Solutions, Chemical Dosage Calculations, Hydraulic Flow Models, Pollutant Dispersion Analyses, EPA, ISO 14001, Data Annotation, Environmental Modeling Software, EHS Compliance, Environmental Consulting