Environmental Engineering

Alignerr; New Zealand; Remote; NZD 55,000 - 83,000; Part time

Job summary

Alignerr Corp. is seeking an Environmental Engineering — AI Data Trainer to help stress-test models with advanced environmental scenarios. You will design complex problems, author detailed reference solutions, and audit AI outputs for regulatory compliance across EPA and ISO standards.

Remote, hourly contract with 10–40 hours per week. Applicants should hold or pursue a Master’s or PhD in environmental fields and demonstrate strong writing and analytical skills.

Qualifications

• Pursuing or holding a Master’s or PhD in Environmental Engineering, Civil Engineering (environmental focus), or a closely related discipline.
• Strong foundational knowledge in aquatic chemistry, wastewater process design, air quality engineering, or hazardous waste remediation.
• Able to communicate complex technical concepts clearly in writing.
• Meticulous about unit conversions and regulatory logic.
• Self-directed and comfortable with independent task-based assignments.

Responsibilities

• Design complex environmental engineering problems spanning contaminant transport, mass balances, hydrology, air dispersion, and LCA.
• Author ground-truth solutions with detailed calculations and models as benchmarks for AI evaluation.
• Audit AI outputs for technical accuracy, safety, and regulatory compliance (EPA, ISO 14001).
• Sharpen AI reasoning by documenting failures and providing corrective feedback.
• Work independently and manage tasks on your own schedule.

Skills

Environmental engineering

Water treatment

Air quality engineering

Regulatory compliance

Education

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

Job description

Environmental Engineering — AI Data Trainer

About The Role

We're partnering with the world's leading AI research teams to build smarter, more technically rigorous AI models — and we need environmental engineers to help get it right. This is a unique opportunity to apply your deep expertise in water treatment, air quality, remediation, and environmental compliance to a problem that matters: making sure AI reasons correctly about the physical and chemical world. You'll stress-test advanced language models, expose their blind spots, and help train the next generation of AI to think like an expert. If you've ever wanted to work at the cutting edge of AI without leaving your field, this is it.

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

What You'll Do

• Design Complex Problems — Create advanced environmental engineering challenges spanning contaminant transport, mass balances in treatment plants, hydrology, air dispersion modeling, and Life Cycle Assessments (LCA)
• Author Ground-Truth Solutions — Develop rigorous, step-by-step reference solutions including chemical dosage calculations, hydraulic flow models, and pollutant dispersion simulations that serve as the benchmark for AI evaluation
• Audit AI Outputs — Review AI-generated remediation plans, environmental impact statements, and engineering calculations for technical accuracy, safety, and regulatory compliance (EPA, ISO 14001, and others)
• Sharpen AI Reasoning — Identify and document model failures such as incorrect stoichiometry, flawed mass balance logic, or failure to account for secondary environmental impacts, then provide structured feedback to correct them
• Work Independently — Take ownership of tasks and complete them asynchronously on a schedule that works for you

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 of: aquatic chemistry, wastewater process design, air quality engineering, or hazardous waste remediation
• Able to communicate complex technical and ecological concepts clearly and precisely in writing
• Meticulous about unit conversions (mg/L to ppm, etc.), chemical equations, and regulatory logic
• Self-directed and comfortable working on independent, task-based assignments
• No prior AI experience required

Nice to Have

• Experience with data annotation, quality evaluation, or technical review processes
• Familiarity with environmental modeling software (e.g., AERMOD, SWMM, MODFLOW)
• Background in EHS compliance or environmental consulting

Why Join Us

• Work on genuinely interesting, intellectually demanding problems that push your expertise
• Fully remote and flexible — work when and where you choose
• Collaborate with a global team contributing to cutting-edge AI research
• Get hands-on exposure to how large language models are trained and evaluated
• Freelance autonomy with the opportunity for ongoing, extended engagement