Remote Environmental AI Data Trainer

Alignerr Corp.; Melbourne; Remote; AUD 83,000 - 124,000; Part time

Job summary

Alignerr is seeking Environmental Engineering professionals to train AI with domain-specific problems in water treatment, air quality, remediation and compliance. You will craft challenging issues, develop benchmark solutions including dosage and flow models, and assess AI outputs for accuracy and safety.

The role emphasizes independent work on an asynchronous schedule, with remote collaboration and potential for ongoing engagement. Master’s or PhD preferred.

Qualifications

• Master's or PhD in Environmental Engineering or Civil Engineering (environmental focus).
• Strong knowledge in aquatic chemistry, wastewater design, air quality engineering or hazardous waste remediation.
• Excellent written communication of complex technical concepts.
• Meticulous with unit conversions, chemical equations and regulatory logic.

Responsibilities

• Design Advanced Engineering Problems spanning contaminant transport, mass balance, hydrology and LCA.
• Author precise, step-by-step technical solutions for AI benchmarking.
• Audit AI outputs, remediation plans and regulatory compliance with EPA/ISO 14001 standards.
• Document logical failures and provide feedback to improve model reasoning.

Skills

aquatic chemistry

wastewater design

air quality engineering

hazardous waste remediation

Education

Master's or PhD in Environmental Engineering or Civil Engineering (environmental focus)

Tools

AERMOD

EPANET

Job description

Alignerr is seeking Environmental Engineering professionals to train AI with domain-specific problems in water treatment, air quality, remediation and compliance. You will craft challenging issues, develop benchmark solutions including dosage and flow models, and assess AI outputs for accuracy and safety.

The role emphasizes independent work on an asynchronous schedule, with remote collaboration and potential for ongoing engagement. Master’s or PhD preferred.