Environmental Engineering - AI Data Trainer

Role responsibilities

As an AI Data Trainer, you will design complex environmental engineering problems and author gold-standard solutions that serve as references 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 closely related field, with strong foundational knowledge in core areas like aquatic chemistry and air quality engineering. Meticulous attention to detail and the ability to communicate complex concepts clearly are essential, though prior AI experience is not required.

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