Environmental Engineering - AI Data Trainer

Role responsibilities

As an AI Data Trainer, you will design advanced technical problems in environmental engineering 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 be pursuing or holding a Master's or PhD in Environmental Engineering or a closely related field, with strong foundational knowledge in core areas. Detail-oriented individuals who can communicate complex concepts clearly and are self-motivated are preferred.

Key skills

Environmental Engineering, Contaminant Transport, Hazardous Waste Remediation, Aquatic Chemistry, Wastewater Process Design, Air Quality Engineering, Data Annotation, Data Quality Review, Environmental Modeling Software, Technical Writing, Regulatory Compliance, Chemical Calculations, Hydraulic Flow Models, Pollutant Dispersion Simulations, AI Evaluation, Problem Solving

Keywords

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