Environmental Engineering - AI Data Trainer

Role responsibilities

The role involves designing challenging environmental engineering problems and building ground-truth solutions for AI models. Additionally, the candidate will audit AI outputs for accuracy and provide feedback to improve AI reasoning.

Requirements

Candidates should be pursuing or holding a Master's or PhD in Environmental Engineering or a related field, with strong knowledge in core areas of environmental science. Clear communication of complex concepts and precision in technical details are essential.

Key skills

Environmental Engineering, Aquatic Chemistry, Wastewater Process Design, Air Quality Engineering, Hazardous Waste Remediation, Technical Writing, Data Annotation, Quality Evaluation, Environmental Modeling Software, Chemical Dosage Calculations, Hydraulic Flow Models, Pollutant Dispersion Simulations, Regulatory Compliance, Life Cycle Assessments, Mass Balance, Contaminant Transport

Keywords

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