Environmental Engineering - AI Data Trainer
Posted 1 day ago by Alignerr
Negotiable
Undetermined
Remote
United Kingdom
Summary: The role of Environmental Engineering – AI Data Trainer involves leveraging expertise in environmental engineering to train and enhance AI models. Candidates will design complex environmental challenges, author technical solutions, audit AI outputs for accuracy, and refine AI reasoning. This position offers the flexibility of remote work and the opportunity to contribute to advanced AI projects at the intersection of environmental science and technology.
Key Responsibilities:
- 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
Key Skills:
- 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 (nice to have)
- Familiarity with environmental modeling software (e.g., AERMOD, SWMM, GoldSim) (nice to have)
- Background in EHS compliance or environmental impact assessment (nice to have)
Salary (Rate): £60.00 hourly
City: undetermined
Country: United Kingdom
Working Arrangements: remote
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
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
What You'll Do
- 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
Who You Are
- 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
Nice to Have
- Experience with data annotation, data quality, or evaluation systems
- Familiarity with environmental modeling software (e.g., AERMOD, SWMM, GoldSim)
- Background in EHS compliance or environmental impact assessment
Why Join Us
- 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