Environmental Engineering – AI Data Trainer

About the role

We are looking for environmental engineers to help train and evaluate advanced AI models that address water and wastewater treatment, air quality management, hazardous waste remediation, and environmental compliance. This fully remote, flexible contract role lets you work 10–40 hours per week on cutting‑edge AI projects.

Key responsibilities

• Design complex, domain‑specific engineering challenges covering contaminant transport, mass balance, hydrology, and life‑cycle assessments.
• Author rigorous, step‑by‑step ground‑truth solutions, including chemical dosage calculations, hydraulic flow models, and pollutant dispersion simulations.
• Audit AI‑generated remediation plans, impact statements, and mathematical proofs for technical accuracy, regulatory compliance (EPA, ISO 14001), and safety.
• Identify logical errors in AI reasoning and provide structured feedback to improve model performance.

Required profile

• Pursuing or holding a Master’s or PhD in Environmental Engineering, Civil Engineering with an environmental focus, or a closely related discipline.
• Strong knowledge in at least one area: aquatic chemistry, wastewater process design, air quality engineering, or hazardous waste remediation.
• Excellent written communication of complex technical concepts.
• Detail‑oriented with a focus on unit conversion, chemical equations, and regulatory logic.
• No prior AI experience required; training will be provided.

Required skills

• Aquatic chemistry
• Wastewater process design
• Air quality engineering
• Hazardous waste remediation
• Chemical dosage calculations
• Hydraulic flow modeling
• Pollutant dispersion simulation
• EPA regulatory compliance
• ISO 14001 compliance
• SWMM, AERMOD, EPA modeling software
• Data annotation and quality assurance
• Evaluation workflow experience

What we offer

• Fully remote, asynchronous work schedule.
• Freelance autonomy with exposure to large‑language‑model training.
• Potential for ongoing contracts and extensions.
• Collaboration with world‑leading AI research labs.