Environmental Engineering - AI Data Trainer

Role responsibilities

As an AI Data Trainer, you will design complex environmental engineering problems and author expert-level solutions that serve as benchmarks for AI training. You will also audit AI outputs for accuracy and provide feedback to enhance AI reasoning.

Requirements

Candidates should hold or be pursuing a Master's or PhD in Environmental Engineering or a closely related field, with strong knowledge in core areas of environmental engineering. Attention to detail and the ability to communicate complex concepts clearly are essential, while prior AI experience is not required.

Key skills

Environmental Engineering, Aquatic Chemistry, Wastewater Process Design, Air Quality Engineering, Hazardous Waste Remediation, Environmental Compliance, Technical Writing, Data Annotation, Data Quality, Technical Evaluation, Environmental Modeling Software, EHS Compliance, Regulatory Consulting, Environmental Auditing

Keywords

Environmental Engineering, AI Data Trainer, Contaminant Transport, Mass Balance, Hydrology, Pollutant Dispersion, Life Cycle Assessments, Chemical Dosage Calculations, Hydraulic Flow Models, Remediation Plans, AI Outputs, Environmental Impact Statements, Regulatory Compliance, EPA, ISO 14001, Data Annotation, Environmental Modeling Software