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.
Organization & Position Details
Company: 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
* Design advanced environmental engineering problems across domains such as contaminant transport, mass balance in treatment plants, hydrology, and Life Cycle Assessments (LCA).
* 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 (incorrect stoichiometry, failure to account for secondary impacts) and provide structured feedback to improve the model’s thinking process.
Requirements
* Advanced degree (Master’s or PhD) in Environmental Engineering, Civil Engineering (with an environmental focus), or a closely related field (pursuing or completed).
* Strong foundational knowledge in aquatic chemistry, wastewater process design, air quality engineering, or hazardous waste remediation.
* Excellent analytical writing skills, conveying complex concepts clearly and concisely.
* High attention to detail in unit conversions, chemical equations, and regulatory logic.
* No prior AI experience required.
Preferred
* Experience with data annotation, data quality, or evaluation systems.
* Familiarity with environmental modeling software.
Benefits
* Competitive pay and flexible remote work.
* Collaborate with a team working on cutting‑edge AI projects.
* Exposure to advanced LLMs and their training processes.
* Freelance perks: autonomy, flexibility, and global collaboration.
* Potential for contract extension.
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