Environmental Engineering - AI Data Trainer

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

Environmental Engineering — AI Data Trainer

About The Role

AI is rapidly advancing into highly technical domains — and we need real experts to make sure it gets things right. We're looking for environmental engineers to help train and evaluate cutting-edge AI models on topics like water treatment, air quality management, and hazardous waste remediation.

Your domain knowledge will directly shape how AI reasons through complex environmental problems — from contaminant transport to regulatory compliance. This is a rare opportunity to influence AI development from the inside, without leaving your field.

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

What You’ll Do

• Design Complex Problems — Craft advanced environmental engineering scenarios covering contaminant transport, mass balance in treatment plants, hydrology, Life Cycle Assessments (LCA), and more
• Author Ground-Truth Solutions — Write rigorous, step-by-step technical solutions — including chemical dosage calculations, hydraulic flow models, and pollutant dispersion simulations — that serve as reference-quality benchmarks
• Audit AI Outputs — Evaluate AI-generated remediation plans, environmental impact statements, and mathematical proofs for technical accuracy, regulatory adherence (EPA, ISO 14001), and safety
• Improve AI Reasoning — Identify logical flaws in AI responses — such as incorrect stoichiometry in biological treatment processes or failure to account for secondary environmental impacts — and provide structured feedback to correct model behavior

Who You Are

• Pursuing or completed a Master’s or PhD in Environmental Engineering, Civil Engineering (environmental focus), or a closely related discipline
• Strong foundational expertise in at least one of: aquatic chemistry, wastewater process design, air quality engineering, or hazardous waste remediation
• Able to communicate complex technical and ecological concepts clearly and precisely in writing
• Detail-oriented with a high standard for accuracy — unit conversions, chemical equations, and regulatory logic all matter here
• No prior AI experience required — your engineering knowledge is what we need

Nice to Have

• Experience with data annotation, quality assurance, 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 on cutting-edge AI projects alongside leading AI research labs
• Fully remote and flexible — work on your own schedule, 10 to 40 hours per week
• Freelance perks: autonomy, variety, and global collaboration
• Apply your technical expertise in a brand new way and expand your professional impact
• Potential for ongoing work and contract extension