Alignerr
Environmental Engineering - AI Data Trainer
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Environmental Engineering - AI Data Trainer
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
- Life Cycle Assessments (LCA)
- Author Gold-Standard Solutions — Develop rigorous, step-by-step technical solutions — including:
- Chemical dosage calculations
- Hydraulic flow models
- Pollutant dispersion analyses — serving as benchmark responses for AI evaluation
- Audit AI Outputs — Review AI-generated:
- Remediation plans
- Environmental impact statements
- 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
- Failure to account for secondary environmental impacts — and deliver structured feedback to improve model reasoning
- Work Across Core Domains — Apply expertise in:
- Water and wastewater treatment
- Air quality management
- EHS compliance
- Solid or hazardous waste management
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Who You Are
Requirements
- 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
- Hazardous waste remediation
- Precise Communicator — Ability 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
- Regulatory logic
- No prior AI experience required — we'll get you up to speed
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Nice to Have
- Prior experience with:
- Data annotation
- Data quality
- AI evaluation workflows
- Familiarity with environmental modeling software (e.g., AERMOD, SWMM, GoldSim)
- Experience writing:
- Technical reports
- 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
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
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