Environmental Engineer for AI Data Training (Remote)

Alignerr Corp.; Greater London; Remote; GBP 34,000 - 83,000; Part time

Benefits offered by this job

Autonomy

Global collaboration

Job summary

Alignerr is seeking environmental engineers to train and evaluate AI models on water treatment, air quality, and hazardous waste remediation. You will craft complex scenarios, write reference solutions, and audit AI outputs—all remotely as an hourly contractor.

This role leverages deep domain expertise to guide AI development from within the engineering field. This remote, part-time opportunity offers flexible hours (10–40 per week) and the chance to influence AI decisions while staying in your

Qualifications

• Pursuing or completed a Master’s or PhD in Environmental Engineering or closely related discipline.
• Strong expertise in at least one domain: aquatic chemistry, wastewater design, air quality, or hazardous waste remediation.
• Ability to communicate complex concepts clearly in writing.
• Detail-oriented with emphasis on unit conversions, chemical equations, and regulatory logic.
• No prior AI experience required; engineering knowledge is valued.

Responsibilities

• Design complex environmental engineering scenarios for AI training.
• Author rigorous step-by-step technical solutions and reference benchmarks.
• Audit AI outputs for technical accuracy and regulatory adherence.
• Provide structured feedback to improve AI reasoning and model behavior.

Skills

Environmental engineering knowledge

Data evaluation

Written communication

Education

Master’s or PhD in Environmental Engineering

Tools

AERMOD

SWMM

Job description

Alignerr is seeking environmental engineers to train and evaluate AI models on water treatment, air quality, and hazardous waste remediation. You will craft complex scenarios, write reference solutions, and audit AI outputs—all remotely as an hourly contractor.

This role leverages deep domain expertise to guide AI development from within the engineering field. This remote, part-time opportunity offers flexible hours (10–40 per week) and the chance to influence AI decisions while staying in your