Environmental Engineering - AI Data Trainer

Alignerr Corp.; Wellington; Remote; NZD 55,000 - 110,000; Part time

Job summary

Alignerr is seeking environmental engineering experts to train AI models for water treatment, air quality, remediation and environmental compliance. Remote, hourly contract, 10-40 hours per week.

No prior AI experience needed; build real-world scenarios and ground-truth solutions that improve model accuracy. You will design advanced problems, develop robust engineering solutions, and audit AI outputs to ensure safety and regulatory alignment across EPA standards and ISO 14001.

Qualifications

• Pursuing or holding a Master's or PhD in Environmental Engineering, Civil Engineering (with environmental focus), or a closely related field.
• Strong foundational knowledge in aquatic chemistry, wastewater process design, air quality engineering, hazardous waste remediation, or EHS compliance.
• Able to communicate complex technical and ecological concepts clearly in writing.
• Detail-oriented - precise with unit conversions (e.g., mg/L to ppm), chemical equations, and regulatory logic.
• Self-motivated and able to work independently and asynchronously.
• No prior AI experience required.

Responsibilities

• Design Advanced Problems - Create challenging, real-world environmental engineering scenarios spanning contaminant transport, mass balance in treatment systems, hydrology, and Life Cycle Assessments (LCA)
• Author Ground-Truth Solutions - Develop rigorous, step-by-step technical responses including chemical dosage calculations, hydraulic flow models, and pollutant dispersion simulations that set the benchmark for AI answers
• Audit AI Outputs - Critically evaluate AI-generated remediation plans, environmental impact statements, and engineering calculations for technical accuracy, safety considerations, and regulatory compliance (e.g., EPA standards, ISO 14001)
• Refine AI Reasoning - Identify flaws in model logic — such as incorrect stoichiometry in biological treatment processes or missed secondary environmental impacts — and provide structured feedback to improve how the model "thinks"
• Improve Model Quality - Work directly on problems that make AI safer, smarter, and more reliable for environmental engineering applications

Skills

Aquatic chemistry

Wastewater design

Air quality engineering

Hazardous waste remediation

EHS compliance

Education

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

Tools

AERMOD

MODFLOW

SimaPro

Job description

Environmental Engineering - AI Data Trainer

About The Role

We're looking for environmental engineering experts to help train and improve the next generation of AI models. Your deep technical knowledge will directly shape how AI reasons through complex problems in water treatment, air quality, remediation, and environmental compliance - making a real-world impact on how AI handles one of the most critical domains in science and engineering.

This is a unique opportunity to sit at the intersection of environmental engineering and cutting-edge AI - no prior AI experience required.

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

What You'll Do

• Design Advanced Problems - Create challenging, real-world environmental engineering scenarios spanning contaminant transport, mass balance in treatment systems, hydrology, and Life Cycle Assessments (LCA)
• Author Ground-Truth Solutions - Develop rigorous, step-by-step technical responses including chemical dosage calculations, hydraulic flow models, and pollutant dispersion simulations that set the benchmark for AI answers
• Audit AI Outputs - Critically evaluate AI-generated remediation plans, environmental impact statements, and engineering calculations for technical accuracy, safety considerations, and regulatory compliance (e.g., EPA standards, ISO 14001)
• Refine AI Reasoning - Identify flaws in model logic — such as incorrect stoichiometry in biological treatment processes or missed secondary environmental impacts — and provide structured feedback to improve how the model "thinks"
• Improve Model Quality - Work directly on problems that make AI safer, smarter, and more reliable for environmental engineering applications

Who You Are

• Pursuing or holding a Master's or PhD in Environmental Engineering, Civil Engineering (with environmental focus), or a closely related field
• Strong foundational knowledge in one or more of: aquatic chemistry, wastewater process design, air quality engineering, hazardous waste remediation, or EHS compliance
• Able to communicate complex technical and ecological concepts clearly in writing
• Detail-oriented - precise when it comes to unit conversions (e.g., mg/L to ppm), chemical equations, and regulatory logic
• Self-motivated and comfortable working independently and asynchronously
• No prior AI experience required

Nice to Have

• Experience with data annotation, data quality review, or evaluation workflows
• Familiarity with environmental modeling software (e.g., AERMOD, MODFLOW, SimaPro)
• Background in environmental consulting, regulatory affairs, or academic research

Why Join Us

• Work on cutting-edge AI projects in partnership with top AI research labs
• Fully remote and flexible - work on your own schedule, 10-40 hours per week
• Freelance autonomy: choose your hours, work from anywhere, and collaborate globally
• Gain rare, first-hand exposure to how large language models are trained and evaluated
• Meaningful work that makes AI more accurate and trustworthy in high-stakes environmental domains
• Potential for ongoing work and contract extension