Environmental Engineering - AI Data Trainer
Alignerr – Cambridge, England, United Kingdom – Remote – Hourly Contract – 10–40 hours/week
Base pay range: $35.00/hr – $60.00/hr.
About the job
At 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 topics such as water and wastewater treatment, air quality management, EHS and compliance, and solid and hazardous waste management—documenting every failure mode so we can harden model reasoning.
What you’ll do
* Develop complex environmental engineering problems across domains such as contaminant transport, mass balance in treatment plants, hydrology, and life cycle assessments.
* Author ground‑truth solutions with rigorous, step‑by‑step technical solutions, including chemical dosage calculations, hydraulic flow models, and pollutant dispersion simulations that serve as "golden responses."
* Technical auditing: evaluate AI‑generated remediation plans, environmental impact statements, and mathematical proofs for technical accuracy, safety, and regulatory compliance.
* Refine reasoning: identify logical fallacies in AI reasoning—such as incorrect stoichiometry in biological processes or failure to account for secondary environmental impacts—and provide structured feedback to improve the model’s thinking process.
Requirements
* Advanced degree (Masters or PhD) in Environmental Engineering, Civil Engineering with an environmental focus, or related field.
* Domain expertise in aquatic chemistry, wastewater process design, air quality engineering, or hazardous waste remediation.
* Analytical writing skills: communicate complex ecological and engineering concepts clearly.
* Attention to detail: precise unit conversions, chemical equations, and regulatory compliance.
* 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.
* Collaborate with a team on cutting‑edge AI projects.
* Exposure to advanced LLMs and their training.
* 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.
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