Environmental Engineering - AI Data Trainer

Denver

* Location: Remote **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 like 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. **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 like 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: Masters (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: The 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.*