Environmental Engineering - AI Data Trainer

Alignerr; Sydney; Remote; AUD 83,000 - 124,000; Part time

Job summary

Alignerr Corp. is seeking an Environmental Engineering AI Data Trainer to help shape how advanced AI systems understand real-world environmental challenges across water treatment, air quality, and hazardous waste remediation.

This remote role emphasizes deep domain expertise and precise written communication, with flexible hours (10–40 hours per week) and freelance autonomy. No AI background required; engineering mastery is what matters.

Qualifications

• Must have a Master's or PhD in Environmental Engineering, Civil Engineering (environmental focus), or equivalent.
• Strong foundational knowledge in aquatic chemistry, wastewater design, air quality engineering, or hazardous waste remediation.
• Excellent written communication and meticulous attention to detail.
• No prior AI experience required; engineering expertise is what matters.

Responsibilities

• Design complex engineering problems spanning contaminant transport, mass balance in treatment plants, hydrology, LCA, and more.
• Author gold-standard solutions with step-by-step calculations and models for AI training ground-truthing.
• Audit AI outputs for environmental impact statements, regulatory compliance, and safety.
• Sharpen AI reasoning by identifying failure modes and providing structured feedback to improve model thinking.

Skills

Environmental engineering knowledge

Technical writing clarity

Attention to detail

Education

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

Tools

AERMOD

SWMM

Visual MINTEQ

Job description

Environmental Engineering — AI Data Trainer

We're looking for environmental engineers to help train and improve advanced AI models on complex, real-world engineering problems. Your deep domain knowledge will directly shape how AI reasons through challenges in water treatment, air quality management, hazardous waste remediation, and environmental compliance — making a tangible impact on how the next generation of AI systems understands your field.

About The Role

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

What You'll Do

• Design Complex Engineering Problems — Craft advanced, multi-step challenges spanning contaminant transport, mass balance in treatment plants, 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 ground-truth benchmarks for AI training
• Audit AI Outputs — Critically evaluate AI-generated remediation plans, environmental impact statements, and mathematical proofs for technical accuracy, regulatory compliance, and safety
• Sharpen AI Reasoning — Identify specific failure modes in model logic — such as incorrect stoichiometry in biological treatment processes or missed secondary environmental impacts — and provide structured feedback that improves how the model thinks

Who You Are

• Pursuing or holding 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, or hazardous waste remediation
• Able to communicate complex engineering and ecological concepts clearly and precisely in written form
• Meticulous attention to detail — especially when checking unit conversions, chemical equations, and regulatory compliance logic
• No prior AI experience required — your engineering expertise is what matters

Nice to Have

• Experience with data annotation, data quality review, or evaluation systems
• Familiarity with environmental modeling software (e.g., AERMOD, SWMM, Visual MINTEQ)
• Working knowledge of EPA regulations, ISO 14001, or other environmental compliance frameworks

Why Join Us

• Work on cutting-edge AI projects alongside world-leading research labs
• Fully remote and async — work when and where it suits you
• Freelance autonomy with meaningful, intellectually engaging work
• Gain firsthand exposure to how large language models are built and trained
• Potential for ongoing work and contract extension