Environmental Engineering - AI Data Trainer

Alignerr Corp.; New York (NY); Remote; USD 69,000 - 138,000; Part time

Benefits offered by this job

Fully remote

Flexible hours

Freelance contract

Async work

Job summary

Alignerr seeks an Environmental Engineering — AI Data Trainer to stress-test and improve AI models on water treatment, air quality, and regulatory topics. This fully remote freelance role centers on crafting complex problems and authoring gold-standard solutions for AI training.

Ideal candidates hold a Master’s or PhD in Environmental or Civil Engineering and can clearly communicate technical concepts in writing.

Qualifications

• Holds or is pursuing a Master’s or PhD in Environmental Engineering, Civil Engineering (environmental focus), or a closely related field.
• Strong foundational knowledge in aquatic chemistry, wastewater process design, air quality engineering, or hazardous waste remediation.
• Able to communicate complex technical concepts clearly and precisely in writing.
• Meticulous attention to detail — unit conversions, chemical equations, and regulatory logic matter here.
• No prior AI experience required — we'll get you up to speed.

Responsibilities

• Design Complex Problems — Craft advanced environmental engineering challenges spanning contaminant transport, mass balance in treatment systems, hydrology, Life Cycle Assessments (LCA), and more
• Author Gold-Standard Solutions — Write rigorous, step-by-step technical solutions — including chemical dosage calculations, hydraulic flow models, and pollutant dispersion analyses — that serve as the definitive reference for AI training
• Audit AI Outputs — Evaluate AI-generated remediation plans, environmental impact statements, and technical analyses for accuracy, safety, and regulatory compliance (EPA, ISO 14001, and beyond)
• Sharpen AI Reasoning — Identify flaws in AI logic — incorrect stoichiometry, overlooked secondary impacts, regulatory misinterpretations — and provide structured feedback to improve how models think through problems

Skills

Aquatic chemistry

Wastewater design

Air quality engineering

Regulatory knowledge

Technical writing

Education

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

Tools

AERMOD

SWMM

Job description

Environmental Engineering — AI Data Trainer

About The Role

We're partnering with the world's leading AI research labs to make AI smarter, safer, and more technically rigorous — and we need environmental engineers to make it happen. As an AI Data Trainer, you'll put your deep domain knowledge to work stress-testing and improving advanced AI models on topics like water treatment, air quality, contaminant transport, and environmental compliance. Your expertise becomes the benchmark that future AI systems are trained against. This is a fully remote, flexible freelance contract — work on your own schedule, as much or as little as fits your life.

• Organization: Alignerr
• Type: Hourly Contract
• Location: Remote
• Commitment: 10–40 hours/week

What You'll Do

• Design Complex Problems — Craft advanced environmental engineering challenges spanning contaminant transport, mass balance in treatment systems, hydrology, Life Cycle Assessments (LCA), and more
• Author Gold-Standard Solutions — Write rigorous, step-by-step technical solutions — including chemical dosage calculations, hydraulic flow models, and pollutant dispersion analyses — that serve as the definitive reference for AI training
• Audit AI Outputs — Evaluate AI-generated remediation plans, environmental impact statements, and technical analyses for accuracy, safety, and regulatory compliance (EPA, ISO 14001, and beyond)
• Sharpen AI Reasoning — Identify flaws in AI logic — incorrect stoichiometry, overlooked secondary impacts, regulatory misinterpretations — and provide structured feedback to improve how models think through problems

Who You Are

• Holds or is pursuing a Master's or PhD in Environmental Engineering, Civil Engineering (environmental focus), or a closely related field
• Strong foundational knowledge in one or more core areas: aquatic chemistry, wastewater process design, air quality engineering, or hazardous waste remediation
• Able to communicate complex technical concepts clearly and precisely in writing
• Meticulous attention to detail — unit conversions, chemical equations, and regulatory logic matter here
• No prior AI experience required — we'll get you up to speed

Nice to Have

• Experience with data annotation, quality review, or evaluation workflows
• Familiarity with environmental modeling software (e.g., AERMOD, SWMM, or similar)
• Background in EHS compliance or environmental consulting

Why Join Us

• Work at the frontier of AI development alongside top research labs
• Fully remote and async — work when and where it suits you
• Freelance flexibility with the potential for ongoing, extended contracts
• Apply your technical expertise in a novel, high-impact way
• Join a global community of subject matter experts shaping the next generation of AI