Environmental Engineering - AI Data Trainer
About this role
About the Role We're partnering with the world's leading AI research labs to build smarter, safer AI — and we need environmental engineers to help get it right. As an AI Data Trainer, you'll stress-test advanced language models on complex environmental engineering problems, expose their weaknesses, and help shape how AI reasons through real-world technical challenges. This is a rare opportunity to apply your deep domain expertise in a high-impact, forward-looking role — without leaving your home office. - Organization: Alignerr - Type: Hourly Contract - Location: Remote - Commitment: 10–40 hours/week What You'll Do - Design Complex Problems — Craft advanced environmental engineering challenges spanning contaminant transport, wastewater treatment mass balances, hydrology, air quality modeling, and Life Cycle Assessments (LCA) - Author Ground-Truth Solutions — Develop rigorous, step-by-step technical solutions — including chemical dosage calculations, hydraulic flow models, and pollutant dispersion simulations — that serve as definitive reference answers - Audit AI Outputs — Critically evaluate AI-generated remediation plans, environmental impact statements, and regulatory compliance analyses for technical accuracy and adherence to standards such as EPA regulations and ISO 14001 - Refine AI Reasoning — Identify logical flaws in model responses (e.g., incorrect stoichiometry, overlooked secondary impacts) and provide structured, expert feedback that directly improves how AI thinks through environmental problems Who You Are - Pursuing or holding a Master's or PhD in Environmental Engineering, Civil Engineering (environmental focus), or a closely related discipline - Strong foundational knowledge in one or more core areas: aquatic chemistry, wastewater process design, air quality engineering, or hazardous waste remediation - Able to communicate complex technical and ecological concepts clearly and precisely in writing - Meticulous with unit conversions, chemical equations, and regulatory compliance logic - No prior AI experience required — your engineering expertise is what matters Nice to Have - Experience with data annotation, data quality review, or evaluation systems - Familiarity with environmental modeling software (e.g., AERMOD, SWMM, or similar tools) - Background in EHS compliance or environmental consulting Why Join Us - Work on cutting-edge AI projects alongside top research labs and AI teams - Fully remote and flexible — work on your own schedule, 10–40 hours per week - Gain hands-on exposure to how large language models (LLMs) are trained and evaluated - Freelance perks: autonomy, variety, and collaboration with a global network of experts - Meaningful work — your contributions directly improve how AI handles real-world environmental challenges - Potential for ongoing work and contract extension
Application listings
Choose a source listing and check its country requirements.