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: AlignerrPosition: Environmental Engineering - AI Data TrainerType: Hourly ContractCompensation: $35–$60 /hourLocation: RemoteCommitment: 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.

#J-18808-Ljbffr