Environmental Engineering - AI Data Trainer

Environmental Engineering — AI Data Trainer About The Role AI is advancing fast — but it still makes mistakes that only a real expert can catch. We're looking for environmental engineers to help train and evaluate cutting-edge AI models on complex technical topics like wastewater treatment, air quality management, hazardous waste remediation, and regulatory compliance. Your domain knowledge will directly shape how AI reasons through real-world environmental problems — making these systems safer, smarter, and more reliable for engineers and researchers worldwide. Organization: AlignerrType: Hourly ContractLocation: RemoteCommitment: 10–40 hours/week What You'll Do Design Challenging Problems — Develop advanced technical problems spanning contaminant transport, mass balance in treatment plants, hydrology, pollutant dispersion, and Life Cycle Assessments (LCA)Author Gold-Standard Solutions — Write rigorous, step-by-step solutions — including chemical dosage calculations, hydraulic flow models, and remediation plans — that serve as benchmark responses for AI trainingAudit AI Outputs — Evaluate AI-generated environmental impact statements, remediation plans, and engineering calculations for technical accuracy, regulatory compliance (EPA, ISO 14001), and safetyImprove AI Reasoning — Identify logical errors in AI outputs — such as incorrect stoichiometry, flawed hydraulic assumptions, or overlooked secondary environmental impacts — and provide structured feedback to improve model performanceWork Asynchronously — Complete tasks independently on a schedule that fits your life Who You Are Advanced Degree in Environmental Engineering, Civil Engineering (with environmental focus), or a closely related field — Masters (pursuing or completed) or PhDStrong Domain Knowledge in one or more areas: aquatic chemistry, wastewater process design, air quality engineering, solid/hazardous waste management, or environmental remediationPrecise and Detail-Oriented — Comfortable checking unit conversions, chemical equations, and regulatory logic with a high degree of accuracyClear Technical Writer — Able to explain complex engineering and ecological concepts in structured, well-reasoned written formNo prior AI experience required — we'll get you up to speed Nice to Have Experience with data annotation, data quality review, or evaluation workflowsFamiliarity with environmental modeling software (e.g., AERMOD, SWMM, MODFLOW)Background in EHS compliance or environmental consulting Why Join Us Use your expertise differently — apply your engineering knowledge to a growing field at the frontier of AI developmentFully remote and flexible — work from anywhere, on your own scheduleMeaningful impact — your feedback directly improves how AI handles real environmental engineering challengesCollaborate globally — work alongside a diverse network of domain experts and AI researchersOngoing opportunity — strong performers are considered for contract extensions and additional projects