Environmental Engineering - AI Data Trainer

Role responsibilities

The role involves designing expert-level environmental engineering problems and authoring rigorous solutions to set benchmarks for AI responses. Additionally, the position includes auditing AI outputs for accuracy and providing feedback to improve AI reasoning.

Requirements

Candidates should have an advanced degree in Environmental Engineering or a related field, along with domain expertise in areas such as aquatic chemistry or air quality engineering. Strong analytical writing skills and attention to detail are essential, but prior AI experience is not required.

Key skills

Environmental Engineering, Water Treatment, Air Quality, Hazardous Waste, Analytical Writing, Attention to Detail, Chemical Calculations, Hydraulic Flow Models, Pollutant Dispersion, Data Annotation, Environmental Modeling Software, EPA Regulations, ISO 14001, Contaminant Transport, Mass Balance, Life Cycle Assessments

Keywords

Environmental Engineering, AI Models, Water Treatment, Air Quality, Hazardous Waste, Contaminant Transport, Mass Balance, Hydrology, Life Cycle Assessments, Chemical Dosage Calculations, Hydraulic Flow Models, Pollutant Dispersion Simulations, EPA Regulations, ISO 14001, Data Annotation, Environmental Modeling Software