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.

This is a fully remote, flexible contract role. Work on your own schedule, on problems that actually matter.

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

• 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

• 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

• 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

• 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