Remote Environmental AI Data Trainer for Engineers

Alignerr Corp.; New Zealand; À distance; NZD 48 000 - 96 000; Temps partiel

Avantages offerts par ce poste

Fully remote and async work

Freelance perks: autonomy, variety, &%

Résumé du poste

Alignerr Corp. seeks Environmental Engineering — AI Data Trainer to guide and evaluate AI models on water treatment, air quality, and remediation topics. This fully remote, flexible contract role offers 10–40 hours per week and the chance to shape how AI reasons through real-world engineering challenges.

You will design complex problems, author benchmark solutions, and audit AI outputs for regulatory compliance and technical rigor. Strong writing and domain knowledge are essential.

Qualifications

• Must have advanced degree in environmental engineering or related field.
• Strong knowledge in aquatic chemistry, wastewater design, air quality, or remediation.
• Excellent written communication of complex concepts.

Responsabilités

• Design complex engineering problems for AI data training across environmental topics.
• Author ground-truth solutions with step-by-step technical detail and calculations.
• Audit AI outputs for regulatory compliance and technical accuracy.
• Provide feedback to improve model reasoning and reduce errors.

Connaissances

Environmental engineering

Aquatic chemistry

Wastewater design

Air quality engineering

Hazardous waste remediation

Technical writing

Formation

Master's or PhD in Environmental Engineering

Civil Engineering with environmental focus

Outils

SWMM

AERMOD

EPA models

Description du poste

Alignerr Corp. seeks Environmental Engineering — AI Data Trainer to guide and evaluate AI models on water treatment, air quality, and remediation topics. This fully remote, flexible contract role offers 10–40 hours per week and the chance to shape how AI reasons through real-world engineering challenges.

You will design complex problems, author benchmark solutions, and audit AI outputs for regulatory compliance and technical rigor. Strong writing and domain knowledge are essential.