Remote Environmental Engineering AI Data Trainer

Alignerr Corp.; Cambridge; On-site; GBP 34,000 - 83,000; Full time

Benefits offered by this job

Fully remote

Flexible hours

Freelance contract opportunities

Job summary

Alignerr is seeking an Environmental Engineering — AI Data Trainer to shape how AI reasons about environmental challenges. You will design rigorous problems, author solution benchmarks, and audit AI outputs from remote locations, with flexible hours and the freedom to work asynchronously.

The role suits candidates with advanced degrees and strong domain knowledge in environmental engineering disciplines, ready to contribute to cutting-edge AI research while meeting project timelines.

Qualifications

• Must be pursuing or holding a Master’s or PhD in Environmental Engineering, Civil Engineering (env focus), or related field.
• Strong knowledge in aquatic chemistry, wastewater design, air quality engineering, hazardous waste remediation or EHS compliance.
• Excellent written communication of complex concepts.
• Precise with unit conversions, chemical equations, and regulatory frameworks.

Responsibilities

• Design advanced environmental engineering challenges spanning contaminant transport and lifecycle assessments.
• Author ground-truth solutions with detailed calculations and models.
• Audit AI outputs for accuracy, safety, and regulatory alignment (EPA, ISO 14001).
• Identify and feedback on reasoning flaws to improve AI performance.
• Work independently on task-based assignments on your schedule.

Skills

Aquatic chemistry

Wastewater design

Air quality engineering

Hazardous waste remediation

EHS compliance

Education

Master’s/PhD in Environmental Eng

Tools

AERMOD

SWMM

EPA tools

Job description

Alignerr is seeking an Environmental Engineering — AI Data Trainer to shape how AI reasons about environmental challenges. You will design rigorous problems, author solution benchmarks, and audit AI outputs from remote locations, with flexible hours and the freedom to work asynchronously.

The role suits candidates with advanced degrees and strong domain knowledge in environmental engineering disciplines, ready to contribute to cutting-edge AI research while meeting project timelines.