Environmental Engineering - AI Data Trainer in Christchurch

Environmental Engineering – AI Data TrainerJoin to apply for the Environmental Engineering – AI Data Trainer role at Alignerr .

This role partners with leading AI research teams to build and train cutting‐edge AI models focused on environmental engineering. You\’ll design advanced problems, create rigorous ground‐truth solutions, audit AI‐generated remediation plans, and refine model reasoning across domains such as water and wastewater treatment, air quality management, EHS and compliance, and solid and hazardous waste management.

Base Pay Range$35.00/hr – $60.00/hr

LocationRemote

About The JobAt Alignerr, we partner with the world\’s leading AI research teams and labs to build and train cutting‐edge AI models. You\’ll challenge advanced language models on environmental topics, documenting every failure mode so we can harden model reasoning.

What You\’ll Do

Design complex environmental engineering problems across contaminant transport, mass balance in treatment plants, hydrology, and Life Cycle Assessments.

Create rigorous, step‐by‐step technical solutions—including chemical dosage calculations, hydraulic flow models, and pollutant dispersion simulations—to serve as golden responses.

Evaluate AI‐generated remediation plans, environmental impact statements, and mathematical proofs for technical accuracy, safety, and regulatory compliance (e.g., EPA, ISO 14001).

Identify logical fallacies in AI reasoning—such as incorrect stoichiometry in biological processes or missing secondary environmental impacts—and provide structured feedback.

Requirements

Advanced degree (Master\’s or PhD) in Environmental Engineering, Civil Engineering with an environmental focus, or a closely related field.

Strong foundational knowledge in aquatic chemistry, wastewater process design, air quality engineering, or hazardous waste remediation.

Excellent analytical writing and ability to communicate complex concepts clearly.

High attention to detail when checking unit conversions, chemical equations, and regulatory compliance logic.

No AI experience required.

Preferred

Prior experience with data annotation, data quality, or evaluation systems.

Familiarity with environmental modeling software.

Why Join Us

Competitive pay and flexible remote work.

Work with a team on cutting‐edge AI projects.

Exposure to advanced LLMs and their training processes.

Freelance perks: autonomy, flexibility, and global collaboration.

Potential for contract extension.

Application Process

Submit your resume.

Complete a short screening.

Project matching and onboarding.

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

Seniority LevelInternship

Employment TypeContract

Job FunctionManagement and Manufacturing

IndustriesTechnology, Information and Internet

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