Environmental Engineering - AI Data Trainer
Posted Today by Alignerr
Negotiable
Undetermined
Remote
Christchurch, England, United Kingdom
Summary: The Environmental Engineering – AI Data Trainer role involves collaborating with leading AI research labs to enhance AI models through the application of environmental engineering expertise. Candidates will design complex technical problems, author solutions, audit AI outputs, and provide feedback to improve AI reasoning. This freelance position offers flexibility and the opportunity to work remotely while making a significant impact in the field. A strong background in environmental engineering is essential for success in this role.
Key Responsibilities:
- Design Complex Technical Problems — Develop advanced environmental engineering scenarios covering contaminant transport, mass balance in treatment systems, hydrology, Life Cycle Assessments (LCA), and more
- Author Gold-Standard Solutions — Write rigorous, step-by-step technical responses including chemical dosage calculations, hydraulic flow models, and pollutant dispersion simulations that serve as benchmark answers
- Audit AI-Generated Outputs — Evaluate AI-produced remediation plans, environmental impact statements, and mathematical reasoning for technical accuracy, safety, and regulatory compliance (EPA, ISO 14001, and more)
- Sharpen AI Reasoning — Identify logical errors such as incorrect stoichiometry in biological treatment processes or failure to account for secondary environmental impacts, and provide structured feedback to improve model performance
Key Skills:
- Advanced Degree: Master's (pursuing or completed) or PhD in Environmental Engineering, Civil Engineering with an environmental focus, or a closely related discipline
- Domain Expertise: Strong foundational knowledge in one or more areas — aquatic chemistry, wastewater process design, air quality engineering, or hazardous waste remediation
- Clear Technical Communicator: Ability to explain complex ecological and engineering concepts in precise, well-structured written form
- Detail-Oriented: High precision when checking unit conversions, chemical equations, and regulatory compliance logic
- No prior AI experience required — we'll get you up to speed
- Experience with data annotation, quality evaluation, or technical review workflows (nice to have)
- Familiarity with environmental modeling software (e.g., SWMM, AERMOD, EPA tools) (nice to have)
- Background in EHS compliance or environmental consulting (nice to have)
Salary (Rate): £35.00 hourly
City: Christchurch
Country: United Kingdom
Working Arrangements: remote
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
Environmental Engineering – AI Data Trainer
About The Role
We partner with the world's leading AI research labs to build smarter, more accurate AI models — and we need environmental engineers to help get there. Your deep technical knowledge of water treatment, air quality, and waste management will directly shape how the next generation of AI reasons through complex environmental problems. This is a rare opportunity to apply your graduate-level expertise in a high-impact, flexible freelance role — no office, no commute, just meaningful work on your own schedule.
Organization: Alignerr
Type: Hourly Contract
Location: Remote
Commitment: 10–40 hours/week
What You'll Do
- Design Complex Technical Problems — Develop advanced environmental engineering scenarios covering contaminant transport, mass balance in treatment systems, hydrology, Life Cycle Assessments (LCA), and more
- Author Gold-Standard Solutions — Write rigorous, step-by-step technical responses including chemical dosage calculations, hydraulic flow models, and pollutant dispersion simulations that serve as benchmark answers
- Audit AI-Generated Outputs — Evaluate AI-produced remediation plans, environmental impact statements, and mathematical reasoning for technical accuracy, safety, and regulatory compliance (EPA, ISO 14001, and more)
- Sharpen AI Reasoning — Identify logical errors such as incorrect stoichiometry in biological treatment processes or failure to account for secondary environmental impacts, and provide structured feedback to improve model performance
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 Expertise: Strong foundational knowledge in one or more areas — aquatic chemistry, wastewater process design, air quality engineering, or hazardous waste remediation
- Clear Technical Communicator: Ability to explain complex ecological and engineering concepts in precise, well-structured written form
- Detail-Oriented: High precision when checking unit conversions, chemical equations, and regulatory compliance logic
- No prior AI experience required — we'll get you up to speed
Nice to Have
- Experience with data annotation, quality evaluation, or technical review workflows
- Familiarity with environmental modeling software (e.g., SWMM, AERMOD, EPA tools)
- Background in EHS compliance or environmental consulting
Why Join Us
- Work on cutting-edge AI projects alongside world-class research teams
- Fully remote and flexible — work when and where it suits you
- Freelance autonomy with meaningful, intellectually stimulating work
- Make a real impact on how AI handles critical environmental and scientific topics
- Potential for ongoing work and contract extension