Remote AI Data Trainer: Environmental Engineer

Alignerr Corp.; Miami (FL); Remoto; USD 55.000 - 110.000; Part-time

Vantaggi offerti da questo lavoro

Autonomy

Global collaboration

Fully remote work

Descrizione del lavoro

Alignerr is partnering with leading AI research teams to build smarter models in environmental engineering. As an AI Data Trainer, you will stress-test and improve how language models reason through environmental problems such as contaminant transport, wastewater treatment, and hazardous waste remediation.

This fully remote, flexible contract role lets you work on your own schedule (10–40 hours/week) while contributing to AI that supports engineers, researchers, and policymakers worldwide.

Competenze

• Pursuing or holding a Master's or PhD in Environmental Engineering or related field
• Strong knowledge in aquatic chemistry, wastewater design, air quality engineering, or hazardous waste remediation
• Ability to clearly communicate complex technical concepts in writing
• Detail-oriented with meticulous unit conversions and regulatory logic
• Self-motivated and capable of independent work on demanding tasks

Mansioni

• Design advanced environmental engineering scenarios for AI training
• Create gold-standard solutions with calculations, models, and benchmarks
• Audit AI outputs for accuracy, safety and regulatory compliance
• Provide feedback to improve AI reasoning and model performance

Conoscenze

Aquatic chemistry

Wastewater design

Air quality engineering

Hazardous waste remediation

Independent work

Written communication

Formazione

Master's or PhD in Environmental Engineering or related field

Strumenti

AERMOD

SWMM

Descrizione del lavoro

Alignerr is partnering with leading AI research teams to build smarter models in environmental engineering. As an AI Data Trainer, you will stress-test and improve how language models reason through environmental problems such as contaminant transport, wastewater treatment, and hazardous waste remediation.

This fully remote, flexible contract role lets you work on your own schedule (10–40 hours/week) while contributing to AI that supports engineers, researchers, and policymakers worldwide.