Environmental Engineering - AI Data Trainer
Posted 4 days ago by Alignerr
Negotiable
Undetermined
Remote
Birmingham, England, United Kingdom
Summary: The role of Environmental Engineering – AI Data Trainer involves collaborating with leading AI research labs to enhance AI's capabilities in environmental engineering. The position requires designing complex engineering scenarios, developing benchmark solutions, auditing AI outputs for accuracy, and providing feedback to improve AI reasoning. This is a fully remote, flexible contract role allowing for a commitment of 10–40 hours per week.
Key Responsibilities:
- 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.
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 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.
- Prior experience with data annotation, data quality, or AI evaluation workflows is a nice to have.
- Familiarity with environmental modeling software (e.g., AERMOD, SWMM, GoldSim) is a nice to have.
- Experience writing technical reports or environmental impact assessments is a nice to have.
Salary (Rate): £35.00/hr
City: Birmingham
Country: United Kingdom
Working Arrangements: remote
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
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