Environmental Engineering - AI Data Trainer

Alignerr; Atlanta (GA); À distance; USD 55 000 - 83 000; Temps partiel

Avantages offerts par ce poste

Fully remote

Flexible schedule

Résumé du poste

Alignerr Corp. is seeking an Environmental Engineering AI Data Trainer to help stress-test and benchmark AI models on environmental engineering problems. The role emphasizes developing advanced environmental scenarios, crafting expert‑level solutions, and auditing AI outputs for accuracy and regulatory compliance.

Fully remote, freelance, with flexible hours and a path to ongoing work. You will design challenging problems across contaminant transport, wastewater treatment, hydrology, and LCA,

Qualifications

• Holds or pursuing a Master's or PhD in Environmental Engineering or Civil Engineering (environmental focus).
• Strong foundational knowledge in aquatic chemistry, wastewater process design, air quality engineering, hazardous waste remediation, or environmental compliance.
• Precise and detail-oriented—catch unit conversion errors, chemical equation imbalances, regulatory inconsistencies.
• Able to communicate complex engineering concepts clearly and concisely in writing.
• Self‑motivated and comfortable working independently on technical tasks.

Responsabilités

• 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

Connaissances

Aquatic chemistry

Wastewater process design

Air quality engineering

Hazardous waste remediation

Environmental compliance

Formation

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

Outils

AERMOD

SWMM

MODFLOW

Description du poste

Environmental Engineering – AI Data Trainer

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.

About The Role

• 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