Environmental Engineering - AI Data Trainer in Edinburgh
Environmental Engineering - AI Data Trainer

Environmental Engineering - AI Data Trainer in Edinburgh

Edinburgh Full-Time 26 - 44 ÂŁ / hour (est.) No home office possible
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At a Glance

  • Tasks: Design and evaluate advanced environmental engineering problems while training AI models.
  • Company: Join Alignerr, a leader in AI research collaboration.
  • Benefits: Earn $35-$60/hr with flexible remote work options.
  • Why this job: Make a real impact on AI and environmental solutions while developing your skills.
  • Qualifications: Background in environmental engineering and strong analytical skills.
  • Other info: Flexible hours with opportunities for growth in a cutting-edge field.

The predicted salary is between 26 - 44 ÂŁ per hour.

At Alignerr, we partner with the world’s leading AI research teams and labs to build and train cutting‑edge AI models. You’ll challenge advanced language models on topics such as water and wastewater treatment, air quality management, EHS and compliance, and solid and hazardous waste management—documenting every failure mode so we can harden model reasoning.

What You’ll Do

  • Develop Complex Problems: Design advanced environmental engineering problems across domains like contaminant transport, mass balance in treatment plants, hydrology, and Life Cycle Assessments (LCA).
  • Author Ground‑Truth Solutions: Create rigorous, step‑by‑step technical solutions, including chemical dosage calculations, hydraulic flow models, and pollutant dispersion simulations that serve as "golden responses."
  • Technical Auditing: Evaluate AI‑generated remediation plans, environmental impact statements, and mathematical proofs for technical accuracy, safety, and adherence to regulatory standards (e.g., EPA, ISO 14001).
  • Refine Reasoning: Identify logical fallacies in AI reasoning—such as incorrect stoichiometry in biological processes.

Environmental Engineering - AI Data Trainer in Edinburgh employer: Alignerr

Alignerr is an exceptional employer that fosters a collaborative and innovative work culture, allowing you to engage with leading AI research teams while working remotely from the beautiful city of Edinburgh. With competitive pay rates and flexible hours, we prioritise employee growth through continuous learning opportunities in the rapidly evolving field of environmental engineering, making it a rewarding place for those passionate about sustainability and technology.
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Contact Detail:

Alignerr Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Environmental Engineering - AI Data Trainer in Edinburgh

✨Tip Number 1

Network like a pro! Reach out to professionals in the environmental engineering field on LinkedIn or at industry events. We can’t stress enough how personal connections can open doors for you.

✨Tip Number 2

Prepare for interviews by practising common questions related to AI and environmental engineering. We recommend doing mock interviews with friends or using online platforms to boost your confidence.

✨Tip Number 3

Showcase your skills through a portfolio! If you’ve worked on relevant projects, compile them into a neat presentation. We love seeing practical examples of your expertise when you apply.

✨Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re always looking for passionate individuals who want to make a difference in AI and environmental engineering.

We think you need these skills to ace Environmental Engineering - AI Data Trainer in Edinburgh

Environmental Engineering
AI Model Training
Water and Wastewater Treatment
Air Quality Management
EHS and Compliance
Solid and Hazardous Waste Management
Contaminant Transport
Mass Balance Calculations
Hydrology
Life Cycle Assessments (LCA)
Technical Solution Authoring
Chemical Dosage Calculations
Hydraulic Flow Modelling
Pollutant Dispersion Simulations
Technical Auditing

Some tips for your application 🫡

Tailor Your Application: Make sure to customise your application for the Environmental Engineering - AI Data Trainer role. Highlight your relevant experience and skills that align with the job description, especially in areas like water treatment and environmental compliance.

Showcase Your Problem-Solving Skills: Since you'll be developing complex problems, it's crucial to demonstrate your analytical thinking. Include examples of past projects or challenges you've tackled that showcase your ability to design and solve intricate environmental engineering issues.

Be Clear and Concise: When writing your application, clarity is key! Use straightforward language and avoid jargon unless necessary. We want to see your thought process, so make it easy for us to follow your reasoning and conclusions.

Apply Through Our Website: We encourage you to submit your application through our website. This ensures that your application gets to the right people quickly and efficiently. Plus, it’s a great way to show your enthusiasm for joining our team!

How to prepare for a job interview at Alignerr

✨Know Your Stuff

Make sure you brush up on your environmental engineering knowledge, especially around topics like water treatment and air quality management. Familiarise yourself with the latest regulations and standards, as this will show that you're not just knowledgeable but also passionate about the field.

✨Showcase Your Problem-Solving Skills

Prepare to discuss complex problems you've tackled in the past. Think about how you approached them, the solutions you developed, and the outcomes. This is your chance to demonstrate your analytical skills and creativity, which are crucial for the role of an AI Data Trainer.

✨Be Ready to Discuss AI

Since you'll be working with AI models, it's important to understand how they function and their limitations. Brush up on AI concepts related to environmental engineering, and be prepared to discuss how you would evaluate and refine AI-generated solutions.

✨Ask Insightful Questions

Interviews are a two-way street, so come armed with questions that show your interest in the company and the role. Ask about their current projects, the team you'll be working with, or how they measure success in this position. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you.

Environmental Engineering - AI Data Trainer in Edinburgh
Alignerr
Location: Edinburgh

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