Environmental Management Scientist (AI Training) About the Role We're looking for experienced environmental management professionals to help evaluate and improve AI systems trained on sustainability, land-use planning, and environmental decision-making.
Environmental Engineering - AI Data Trainer
Remote (Global)
$35 – $60/hr
July 14, 2026
Job description
Environmental Engineering – AI Data Trainer
About the Role
We're partnering with the world's leading AI research labs to build smarter, more technically rigorous AI models — and we need environmental engineers to make it happen. Your domain expertise will directly shape how AI reasons through real-world problems in water treatment, air quality, hazardous waste, and environmental compliance.
This is a rare opportunity to sit at the intersection of environmental science and cutting-edge AI — without leaving your home office.
- 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, and Life Cycle Assessments (LCA) that push AI models to their limits
- Build Ground-Truth Solutions — Author rigorous, step-by-step technical solutions including chemical dosage calculations, hydraulic flow models, and pollutant dispersion simulations that serve as the benchmark for AI responses
- Audit AI Outputs — Evaluate AI-generated remediation plans, environmental impact statements, and mathematical reasoning for technical accuracy, safety, and regulatory compliance (e.g., EPA standards, ISO 14001)
- Sharpen AI Reasoning — Identify where AI goes wrong — incorrect stoichiometry, flawed mass balances, overlooked secondary impacts — and provide structured feedback that improves how models think through environmental problems
- Work Independently — Complete task-based assignments asynchronously on a schedule that fits your life
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 in writing
- Highly precise — comfortable checking unit conversions, chemical equations, and regulatory logic for errors
- No prior AI experience required — we'll bring you up to speed
Nice to Have
- Prior experience with data annotation, quality evaluation, or technical review workflows
- Familiarity with environmental modeling software (e.g., AERMOD, SWMM, or similar)
- Experience writing technical reports, environmental assessments, or academic research
Why Join Us
- Work on cutting-edge AI projects with top AI research labs and teams
- Fully remote and flexible — work on your own schedule, anywhere in the world
- Freelance autonomy: no meetings, no commute, no office politics
- Contribute to meaningful work that improves how AI handles real environmental challenges
- Gain direct exposure to how large language models are trained and evaluated
- Potential for ongoing work and contract extension
Compensation by region
Pay varies by where you're based. Each region below is open to applicants in that country only.
Available in 2 regions: pick your country on click.
Environmental Engineering – AI Data Trainer About the Role We're partnering with the world's leading AI research labs to build smarter, more technically rigorous AI models — and we need environmental engineers to make it happen. As an AI Data Trainer, your domain expertise…
Environmental Engineering – AI Data Trainer About the Role We're looking for environmental engineering experts to help train and improve advanced AI models on technically demanding topics. Your domain knowledge will directly shape how AI understands and reasons through…
Environmental Engineering – AI Data Trainer About the Role We're looking for environmental engineering experts to help train and improve advanced AI models. Your domain knowledge will directly shape how AI reasons through complex environmental problems — from contaminant…