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- Tasks: Design advanced environmental engineering problems and create rigorous technical solutions.
- Company: Alignerr, a leader in AI research collaboration.
- Benefits: Competitive pay, flexible remote work, and potential for contract extension.
- Why this job: Join a team shaping the future of AI in environmental engineering.
- Qualifications: Masters or PhD in Environmental Engineering or related field required.
- Other info: Work with cutting-edge AI models and enjoy freelance perks.
The predicted salary is between 26 - 43 £ 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
Position: Environmental Engineering - AI Data Trainer
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 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 or failure to account for secondary environmental impacts—and provide structured feedback to improve the model's "thinking" process.
Requirements
- Advanced Degree: Masters (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: The 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 Birmingham employer: Alignerr
Contact Detail:
Alignerr Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Environmental Engineering - AI Data Trainer in Birmingham
✨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 common technical questions in environmental engineering. Practice explaining complex concepts clearly—this will help you shine when discussing your expertise with potential employers.
✨Tip Number 4
Don’t forget to apply through our website! It’s quick and easy, plus it ensures your application gets directly into the hands of our hiring team. We’re excited to see what you bring to the table!
We think you need these skills to ace Environmental Engineering - AI Data Trainer in Birmingham
Some tips for your application 🫡
Tailor Your Resume: Make sure your resume highlights your relevant experience in environmental engineering and any specific skills that match the job description. We want to see how your background aligns 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. We love seeing your thought process in action!
Be Detail-Oriented: Pay close attention to the details in your application. Double-check for any typos or errors, especially in technical terms. We appreciate precision and want to see that you do too!
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your materials and keep everything organised. Plus, it only takes 15-20 minutes!
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 mass balance. Be ready to discuss specific problems you've solved or projects you've worked on that relate to the job description.
✨Show Off Your Writing Skills
Since analytical writing is key for this role, prepare to showcase your ability to communicate complex ideas clearly. Bring examples of your written work, like reports or papers, that demonstrate your technical writing prowess.
✨Attention to Detail is Key
During the interview, highlight your meticulous nature. Discuss how you ensure accuracy in your work, whether it's checking unit conversions or ensuring compliance with regulations. This will show that you take precision seriously.
✨Prepare for Technical Questions
Expect questions that test your understanding of AI reasoning and environmental models. Think about potential logical fallacies in AI outputs and be ready to provide structured feedback. This will demonstrate your critical thinking skills and domain expertise.
