Environmental Engineering - AI Data Trainer

Alignerr Corp.; Atlanta (GA); Remote; USD 55,000 - 96,000; Part time

Job summary

Alignerr is seeking a skilled Environmental Engineer to join as an AI Data Trainer. You will craft advanced environmental scenarios, write ground-truth solutions, and audit AI outputs to ensure technical accuracy and regulatory compliance.

This remote, hourly contract offers flexible hours (10–40 per week) and the chance to influence how AI models understand environmental engineering challenges while staying in your field.

Qualifications

• Holds or is pursuing a Master’s or PhD in Environmental Engineering, Civil Engineering (environmental focus), or related discipline.
• Strong knowledge in aquatic chemistry, wastewater design, air quality engineering, hazardous waste remediation, or environmental compliance.
• Precise and detail-oriented; catches unit conversion errors and regulatory inconsistencies.
• Ability to clearly communicate complex engineering concepts in writing.
• Self-motivated and able to work independently on technical tasks.
• No prior AI experience required.

Responsibilities

• Design challenging environmental scenarios: contaminants transport, mass balance, hydrology, dispersion, LCA.
• Author expert‑level solutions: step-by-step calculations and models for AI training.
• Audit AI outputs for technical accuracy, safety, and regulatory compliance (EPA, ISO 14001).
• Sharpen AI reasoning by identifying errors and giving structured feedback.
• Work independently on task-based assignments, asynchronously.

Skills

Masters/PhD Environmental Eng

Civil Eng (environmental)

Regulatory knowledge

Writing skills

Attention to detail

Independent work

Education

Master's or PhD in Environmental Engineering

Civil Engineering (environmental)

Tools

AERMOD

SWMM

MODFLOW

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 — and we need environmental engineers to help get there. As an AI Data Trainer specializing in environmental engineering, you’ll stress-test advanced AI models on complex technical problems, expose their reasoning gaps, and help build systems that can think like a domain expert.

This is a fully remote, flexible contract role that lets you apply your deep technical knowledge in a new and impactful way — without leaving your field.

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

What You’ll Do

• Design Challenging Problems — Develop advanced environmental engineering scenarios spanning contaminant transport, mass balance in treatment plants, hydrology, pollutant dispersion, and Life Cycle Assessments (LCA)
• Author Expert-Level Solutions — Write rigorous, step-by-step technical solutions — including chemical dosage calculations, hydraulic flow models, and remediation plans — that serve as ground-truth benchmarks for AI training
• Audit AI Outputs — Evaluate AI-generated environmental impact statements, remediation strategies, and engineering calculations for technical accuracy, safety, and regulatory compliance (EPA, ISO 14001, and more)
• Sharpen AI Reasoning — Identify logical errors such as incorrect stoichiometry, flawed unit conversions, or failure to account for secondary environmental impacts, and provide structured feedback to improve model performance
• Work Independently — Complete task-based assignments asynchronously on a schedule that works for you

Who You Are

• Holds or is pursuing a Master’s or PhD in Environmental Engineering, Civil Engineering (environmental focus), or a closely related discipline
• Strong foundational knowledge in one or more core areas: aquatic chemistry, wastewater process design, air quality engineering, hazardous waste remediation, or environmental compliance
• Precise and detail-oriented — you catch unit conversion errors, chemical equation imbalances, and regulatory inconsistencies that others miss
• Able to communicate complex engineering concepts clearly and concisely in writing
• Self-motivated and comfortable working independently on technical tasks
• No prior AI experience required

Nice to Have

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

Why Join Us

• Work on cutting-edge AI projects alongside top AI research labs and teams
• Fully remote and flexible — set your own hours and work from anywhere
• Freelance perks: autonomy, variety, and the chance to collaborate with a global network of experts
• Gain firsthand exposure to how large language models (LLMs) are trained and evaluated
• Make a meaningful impact — your expertise directly improves how AI handles real-world environmental engineering challenges
• Potential for ongoing work and contract extension