Environmental Engineering - AI Data Trainer

Environmental Engineering – AI Data Trainer About The Role We're partnering with the world's leading AI research labs to make AI smarter in complex scientific domains — and we need environmental engineers to help get it right. As an AI Data Trainer, you'll stress-test cutting-edge language models on real environmental engineering challenges, expose their blind spots, and help build systems that reason accurately about the problems that matter most to our planet. This is a fully remote, flexible contract role. You set your hours and work on your own schedule.

• Organization: Alignerr
• Type: Hourly Contract
• Location: Remote
• Commitment: 10–40 hours/week What You'll Do
• Design Challenging Problems — Craft advanced environmental engineering scenarios spanning contaminant transport, mass balance in treatment systems, hydrology, air dispersion modeling, and Life Cycle Assessments (LCA)
• Author Gold-Standard Solutions — Develop rigorous, step-by-step technical solutions — including chemical dosage calculations, hydraulic flow models, and pollutant dispersion analyses — that serve as benchmark responses for AI evaluation
• Audit AI Outputs — Review AI-generated remediation plans, environmental impact statements, and engineering calculations for technical accuracy, regulatory compliance (EPA, ISO 14001), and safety
• Sharpen AI Reasoning — Identify flaws in model logic — such as incorrect stoichiometry, faulty unit conversions, or failure to account for secondary environmental impacts — and deliver structured feedback to improve how the model thinks
• Work Across Core Domains — Apply expertise in water and wastewater treatment, air quality management, EHS compliance, and solid or hazardous waste management Who You Are
• Advanced Degree — Master's (pursuing or completed) or PhD in Environmental Engineering, Civil Engineering with an environmental focus, or a closely related discipline
• Domain Expert — Strong foundational knowledge in at least one core area: aquatic chemistry, wastewater process design, air quality engineering, or hazardous waste remediation
• Precise Communicator — Able to explain complex ecological and engineering concepts clearly and concisely in writing
• Detail-Oriented — High accuracy when checking unit conversions (e.g., mg/L to ppm), chemical equations, mass balances, and regulatory logic
• No prior AI experience required — we'll get you up to speed Nice to Have
• Prior experience with data annotation, data quality, or AI evaluation workflows
• Familiarity with environmental modeling software (e.g., AERMOD, SWMM, GoldSim)
• Experience writing technical reports or environmental impact assessments Why Join Us
• Work on cutting-edge AI projects alongside top AI research teams and labs
• Fully remote and flexible — work when and where it suits you
• Freelance perks: autonomy, variety, and collaboration with experts across the globe
• Gain rare, hands-on exposure to how advanced large language models are trained and evaluated
• Meaningful work — your expertise directly improves how AI handles real-world environmental challenges
• Potential for ongoing work and contract extension