At a Glance
- Tasks: Design advanced environmental engineering problems and evaluate AI-generated solutions.
- Company: Alignerr, a leader in AI research collaboration.
- Benefits: Earn $35–$60/hour with flexible remote work and freelance perks.
- Why this job: Join a cutting-edge team and make an impact on AI training.
- Qualifications: Master’s or PhD in Environmental Engineering or related field required.
- Other info: Opportunity for contract extension and global collaboration.
The predicted salary is between 28 - 48 ÂŁ per hour.
About The Job
At Alignerr, we partner with the world’s leading AI research teams and labs to build and train cutting‑edge AI models.
Location: Remote
Organization: Alignerr
Type: Hourly Contract
Compensation: $35–$60 /hour
Commitment: 10–40 hours/week
What You’ll Do
- Develop Complex Problems: Design advanced environmental engineering problems across domains such as 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 or failure to account for secondary environmental impacts—and provide structured feedback to improve the model’s "thinking" process.
Requirements
- Advanced Degree: Master’s (pursuing or completed) or PhD in Environmental Engineering, Civil Engineering (with an environmental focus), or a closely related field.
- Domain Expertise: Strong foundational knowledge in core areas such as aquatic chemistry, wastewater process design, air quality engineering, or hazardous waste remediation.
- Analytical Writing: Ability to communicate complex ecological and engineering concepts clearly and concisely in written form.
- Attention to Detail: High level of precision when checking unit conversions (e.g., mg/L to ppm), chemical equations, and regulatory compliance logic. No AI experience required.
Preferred
- Prior experience with data annotation, data quality, or evaluation systems.
- Familiarity with environmental modeling software.
Why Join Us
- Competitive pay and flexible remote work.
- Collaborate with a team working on cutting‑edge AI projects.
- Exposure to advanced LLMs and how they’re trained.
- Freelance perks: autonomy, flexibility, and global collaboration.
- Potential for contract extension.
Application Process (Takes 15‑20 min)
- Submit your resume
- Complete a short screening
- Project matching and onboarding
PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
Environmental Engineering - AI Data Trainer in Glasgow employer: Alignerr
Contact Detail:
Alignerr Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Environmental Engineering - AI Data Trainer in Glasgow
✨Tip Number 1
Network like a pro! Reach out to professionals in the environmental engineering field on LinkedIn or at industry events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to contaminant transport or hydrology. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on technical concepts relevant to the role. Be ready to discuss your analytical writing skills and how you ensure precision in your work—these are key for the Environmental Engineering - AI Data Trainer position.
✨Tip Number 4
Don’t forget to apply through our website! It’s quick and easy, and we review applications daily. Completing your AI interview and application steps promptly can really boost your chances of landing that contract.
We think you need these skills to ace Environmental Engineering - AI Data Trainer in Glasgow
Some tips for your application 🫡
Craft a Tailored Resume: Make sure your resume highlights your relevant experience in environmental engineering and any specific skills that align with the job description. We want to see how your background fits with what we're looking for!
Show Off Your Writing Skills: Since analytical writing is key for this role, include examples of your written work that demonstrate your ability to communicate complex concepts clearly. This is your chance to shine, so let us see your best writing!
Be Detail-Oriented: Pay close attention to the details in your application. Double-check for any typos or errors, especially in technical terms and unit conversions. We appreciate precision, and it shows you care about your work!
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Alignerr
✨Know Your Stuff
Make sure you brush up on your environmental engineering knowledge, especially in areas like contaminant transport and hydrology. Be ready to discuss specific problems you've solved or projects you've worked on that relate to the job description.
✨Showcase Your Writing Skills
Since analytical writing is key for this role, prepare to share examples of your written work. Whether it's a report, a research paper, or even a blog post, having something concrete to show can really set you apart.
✨Be Detail-Oriented
Pay attention to the little things! During the interview, demonstrate your precision by discussing how you ensure accuracy in your work, especially when it comes to unit conversions and regulatory compliance. This will highlight your attention to detail.
✨Ask Smart Questions
Prepare thoughtful questions about the company's AI projects and how they integrate environmental engineering. This shows your genuine interest in the role and helps you understand if it's the right fit for you.