Environmental Engineering - AI Data Trainer

Environmental Engineering – AI Data Trainer About The Role

We're looking for environmental engineering experts to help train and improve cutting-edge AI models. Your deep technical knowledge — from water treatment to air quality to hazardous waste remediation — will directly shape how AI reasons through complex environmental problems.

This is a unique opportunity to work at the intersection of environmental science and artificial intelligence, contributing to some of the most advanced language models being built today.

• Organization:
  Alignerr
• Type:
  Hourly Contract
• Location:
  
  Remote
• Commitment: 10–40 hours/week

• Design Complex Problems — Create advanced environmental engineering challenges spanning contaminant transport, mass balance in treatment plants, hydrology, and Life Cycle Assessments (LCA) to stress-test AI reasoning
• 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 reference-quality "golden responses"
• Audit AI Outputs — Evaluate AI-generated remediation plans, environmental impact statements, and mathematical proofs for technical accuracy, regulatory compliance (EPA, ISO 14001), and safety
• Refine AI Reasoning — Identify logical errors such as incorrect stoichiometry in biological processes or failure to account for secondary environmental impacts, and provide structured feedback to improve model quality
• Work Independently — Complete task-based assignments on your own schedule with full remote flexibility

• Pursuing or holding a Master's or PhD in Environmental Engineering, Civil Engineering (with environmental focus), or a closely related field
• Strong foundational knowledge in at least one core area: aquatic chemistry, wastewater process design, air quality engineering, or hazardous waste remediation
• Able to communicate complex engineering and ecological concepts clearly and precisely in writing
• High attention to detail — especially for unit conversions, chemical equations, and regulatory compliance logic
• Self-motivated and comfortable working independently on technical tasks
• No prior AI experience required

• Experience with data annotation, data quality, or evaluation systems
• Familiarity with environmental modeling software (e.g., AERMOD, SWMM, Gold Sim)
• Background in EHS compliance or environmental impact assessment

• Work on cutting-edge AI projects in collaboration with world-leading AI research labs
• Fully remote and flexible — work on your own schedule, from anywhere
• Freelance perks: autonomy, variety, and global collaboration
• Apply your domain expertise in a new and growing field
• Contribute to meaningful work that improves how AI handles real-world environmental challenges
• Potential for ongoing work and contract extension