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Environmental engineering - ai data trainer

Oxford
Permanent
Alignerr
Environmental
Posted: 29 January
Offer description

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.


Location

Remote


Organization

Alignerr | Position: Environmental Engineering - AI Data Trainer | Type: Hourly Contract | Compensation: $35–$60 /hour | Location: Remote | Commitment: 10–40 hours/week


What You’ll Do

* Develop Complex Problems: Design advanced environmental engineering problems across domains such as contaminant transport, mass balance in treatment plants, hydrology, and Life Cycle Assessments (LCA).
* Author Ground‑Truth Solutions: Create 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 adherence to regulatory standards (e.g., EPA, ISO 14001).
* 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: Master’s (pursuing or completed) or PhD in Environmental Engineering, Civil Engineering (with an environmental focus), or a closely related field.
* Domain Expertise: Strong foundational knowledge in core areas such as aquatic chemistry, wastewater process design, air quality engineering, or hazardous waste remediation.
* Analytical Writing: Ability to communicate complex ecological and engineering concepts clearly and concisely in written form.
* Attention to Detail: High level of precision when checking unit conversions (e.g., mg/L to ppm), 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.
* Collaborate with a team working on cutting‑edge AI projects.
* Exposure to advanced LLMs and how they’re trained.
* Freelance perks: autonomy, flexibility, and global collaboration.
* Potential for contract extension.


Application Process (Takes 15‑20 min)

* 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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