Environmental Engineering - AI Data Trainer

Role responsibilities

As an AI Data Trainer, you will design advanced technical problems in environmental engineering and author ground-truth solutions that serve as benchmarks for AI responses. You will also audit AI outputs for accuracy and refine AI reasoning by providing structured feedback.

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 of environmental engineering. No prior AI experience is required, but familiarity with data annotation and environmental modeling software is a plus.

Key skills

Environmental Engineering, Contaminant Transport, Regulatory Compliance, Aquatic Chemistry, Wastewater Process Design, Air Quality Engineering, Hazardous Waste Remediation, Technical Writing, Data Annotation, Environmental Modeling Software, EHS Compliance, Environmental Permitting, Regulatory Frameworks, Analytical Skills, Problem Solving, Attention to Detail

Keywords

Environmental Engineering, AI, Data Trainer, Contaminant Transport, Regulatory Compliance, Aquatic Chemistry, Wastewater Process Design, Air Quality Engineering, Hazardous Waste Remediation, Technical Writing, Data Annotation, Environmental Modeling Software, EHS Compliance, Environmental Permitting, Regulatory Frameworks, Analytical Skills, Problem Solving