Environmental Engineering - AI Data Trainer

Environmental Engineering - AI Data Trainer 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.

Created: 2026-04-08