Environmental Engineering - AI Data Trainer

Alignerr; Cambridge; On-site; GBP 55,000 - 83,000; Full time

Job summary

Alignerr is seeking an Environmental Engineering AI Data Trainer to challenge and refine advanced language models on environmental engineering problems. You’ll design rigorous challenges, author benchmark solutions, and audit AI outputs, all while working independently on a flexible remote schedule.

Ideal candidates hold a Master’s or PhD in environmental engineering or closely related fields and can communicate precise technical concepts in writing. No prior AI experience required.

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, hazardous waste remediation, or EHS compliance.
• Able to communicate complex technical and ecological concepts clearly and precisely in written form.
• Detail‑oriented with a high degree of precision for unit conversions, chemical equations, and regulatory frameworks.
• Self‑motivated and comfortable working independently in a remote environment.
• No prior AI experience required.

Responsibilities

• Design Advanced Problems — Develop technically rigorous environmental engineering challenges spanning contaminant transport, mass balance in treatment plants, hydrology, LCA, and more.
• Author Ground-Truth Solutions — Write detailed, step-by-step solutions including chemical dosage calculations, hydraulic flow models, and pollutant dispersion simulations that serve as benchmark responses.
• Audit AI Outputs — Evaluate AI-generated remediation plans, environmental impact statements, and technical analyses for accuracy, safety, and regulatory alignment.
• Improve AI Reasoning — Identify flaws in model reasoning and provide structured feedback to sharpen AI performance.
• Work Independently — Complete task-based assignments asynchronously on your own schedule.

Skills

Environmental engineering

Regulatory compliance

Hydrology

Education

Master's degree in Environmental Engineering

PhD in Environmental Engineering

Tools

AERMOD

SWMM

EPA tools

Job description

Environmental Engineering — AI Data Trainer

About The Role

We're partnering with the world's leading AI research labs to build smarter, more technically rigorous AI models — and we need environmental engineering experts to make it happen.

As an AI Data Trainer, you'll use your deep domain knowledge to challenge, test, and refine advanced language models on complex environmental engineering problems. From contaminant transport to regulatory compliance, your expertise will directly shape how AI reasons about some of the most important challenges facing our planet.

This is a unique opportunity to work at the intersection of environmental science and artificial intelligence — with full flexibility to work on your own schedule.

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

What You'll Do

• Design Advanced Problems — Develop technically rigorous environmental engineering challenges spanning contaminant transport, mass balance in treatment plants, hydrology, Life Cycle Assessments (LCA), and more
• Author Ground-Truth Solutions — Write detailed, step-by-step solutions including chemical dosage calculations, hydraulic flow models, and pollutant dispersion simulations that serve as benchmark responses
• Audit AI Outputs — Evaluate AI-generated remediation plans, environmental impact statements, and technical analyses for accuracy, safety, and alignment with regulatory standards (EPA, ISO 14001, and others)
• Improve AI Reasoning — Identify flaws in model reasoning — such as incorrect stoichiometry, faulty mass balances, or missed secondary environmental impacts — and provide structured feedback to sharpen AI performance
• Work Independently — Complete task-based assignments asynchronously on your own schedule

Who You Are

• Pursuing or holding a Master's or PhD in Environmental Engineering, Civil Engineering (with an environmental focus), or a closely related discipline
• Strong foundational knowledge in one or more core areas: aquatic chemistry, wastewater process design, air quality engineering, hazardous waste remediation, or EHS compliance
• Able to communicate complex technical and ecological concepts clearly and precisely in written form
• Detail-oriented with a high degree of precision when working with unit conversions, chemical equations, and regulatory frameworks
• Self-motivated and comfortable working independently in a remote environment
• No prior AI experience required

Nice to Have

• Experience with data annotation, quality evaluation, or technical writing
• Familiarity with environmental modeling software (e.g., AERMOD, SWMM, EPA tools)
• Background in environmental consulting, research, or regulatory work

Why Join Us

• Work on cutting-edge AI projects alongside top research labs
• Fully remote and flexible — set your own hours and work from anywhere
• Freelance autonomy with meaningful, intellectually stimulating workContribute to AI systems that will reason about real-world environmental challenges
• Potential for ongoing work and contract extension