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

Solid 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

📌 Environmental Engineering (Perth)
🏢 Alignerr
📍 Perth