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- Tasks: Design and deliver AI tools to enhance legal content efficiency.
- Company: Global information provider with a focus on innovation.
- Benefits: Generous holiday allowances and flexible working options.
- Why this job: Join a dynamic team and revolutionise the legal industry with AI.
- Qualifications: Experience in Python programming and familiarity with AI technologies.
- Other info: Collaborate with lawyers and product teams for impactful solutions.
The predicted salary is between 36000 - 60000 £ per year.
A global information provider is seeking a Legal Content AI Engineer to lead the design and delivery of AI tools for legal content teams. The ideal candidate will work closely with lawyers and product teams to enhance efficiency through innovative solutions. This role requires experience in programming languages such as Python and familiarity with AI technologies. Benefits include generous holiday allowances and flexible working options.
Remote AI Engineer for Legal Content & Automation employer: RELX
Contact Detail:
RELX Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote AI Engineer for Legal Content & Automation
✨Tip Number 1
Network like a pro! Reach out to professionals in the legal tech space on LinkedIn or attend relevant webinars. We can’t stress enough how personal connections can open doors for you.
✨Tip Number 2
Showcase your skills! Create a portfolio that highlights your AI projects, especially those related to legal content. We want to see your coding prowess in Python and any innovative solutions you've developed.
✨Tip Number 3
Prepare for interviews by brushing up on common AI and legal tech questions. We recommend practising with a friend or using mock interview platforms to build your confidence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Remote AI Engineer for Legal Content & Automation
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with programming languages like Python and any AI technologies you've worked with. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about legal content and how you can bring innovative solutions to our team. Let us know what excites you about this role and why you’d be a great fit.
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled challenges in previous roles, especially those related to AI and legal content. We love seeing candidates who can think outside the box and come up with creative solutions!
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 get all the latest updates from us. Plus, it’s super easy!
How to prepare for a job interview at RELX
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI technologies and how they apply to legal content. Be ready to discuss specific tools or projects you've worked on that demonstrate your expertise in programming languages like Python.
✨Understand the Legal Landscape
Familiarise yourself with the legal industry and the challenges it faces. This will help you speak intelligently about how AI can enhance efficiency for legal teams, showing that you understand both the tech and the context.
✨Prepare for Technical Questions
Expect some technical questions during the interview. Practice coding problems or scenarios related to AI and legal content automation. Being able to solve a problem on the spot can really impress your interviewers.
✨Show Your Collaborative Spirit
Since you'll be working closely with lawyers and product teams, highlight your teamwork skills. Share examples of past collaborations where you successfully integrated feedback from non-technical stakeholders into your projects.
