At a Glance
- Tasks: Curate and manage data, focusing on categories like audiobooks and podcasts.
- Company: Join a forward-thinking team in a fully remote environment.
- Benefits: Flexible work hours, potential for contract extension, and a collaborative culture.
- Other info: Work with a diverse team across multiple time zones and enjoy asynchronous communication.
- Why this job: Be at the forefront of AI-related projects and shape internal knowledge management.
- Qualifications: Experience in data management and understanding of semantic standards required.
The predicted salary is between 40000 - 50000 £ per year.
Location: Fully Remote (Async)
Duration: 6 months (Strong potential for extension)
Start: ASAP
About the Role
We are looking for an Ontologist for a new, experimental role within our Platform Mission. Initially focusing on categories like audiobooks and podcast topics, you will quickly expand into AI-related work. Instead of media content, your focus will be on data and internal knowledge management. You will partner closely with engineers to structure internal domains like teams, projects, and strategies.
Team Environment
The team is fully remote and distributed across Pacific time, Dublin, Stockholm, and Amsterdam. We rely heavily on asynchronous communication (Slack and documentation), with meetings kept to overlapping hours.
Key Requirements
- Strong background in data and internal knowledge management (not media content).
- Deep understanding of semantic standards and frameworks (RDF, OWL, SKOS).
- Experience querying graph data using SPARQL.
- Ability to collaborate closely with engineers to build internal domains.
- Excellent interdisciplinary and asynchronous communication skills.
- Comfortable with ambiguity, testing new ideas, and learning on the go.
Data Curator - Ontologist employer: Randstad Technologies
As a fully remote employer, we offer a dynamic and flexible work environment that prioritises asynchronous communication, allowing you to thrive regardless of your location. Our culture fosters innovation and collaboration, providing ample opportunities for professional growth as you engage with cutting-edge projects in data and knowledge management. Join us to be part of a forward-thinking team that values creativity and adaptability, making meaningful contributions to the evolving landscape of AI.
StudySmarter Expert Advice🤫
We think this is how you could land Data Curator - Ontologist
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or other platforms. A friendly message can go a long way, and you never know who might have the inside scoop on job openings.
✨Tip Number 2
Show off your skills! Create a portfolio or a personal project that highlights your expertise in data management and semantic frameworks. This will give you an edge and show potential employers what you can bring to the table.
✨Tip Number 3
Prepare for those interviews! Research common questions related to ontology and data curation. Practise your responses, focusing on how your experience aligns with the role's requirements. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Data Curator - Ontologist
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter for the Ontologist role. Highlight your experience in data and internal knowledge management, and don’t forget to mention your familiarity with semantic standards like RDF and OWL. We want to see how your skills align with what we’re looking for!
Show Off Your Communication Skills:Since we rely on asynchronous communication, it’s crucial to demonstrate your ability to communicate effectively in writing. Use clear and concise language in your application, and maybe even share examples of how you’ve successfully collaborated remotely in the past.
Be Ready to Embrace Ambiguity:We love candidates who are comfortable with uncertainty and can adapt quickly. In your application, share experiences where you’ve tackled ambiguous situations or tested new ideas. This will show us that you’re a great fit for our experimental role!
Apply Through Our Website:We encourage you to submit your application through our website. It’s the best way for us to keep track of your application and ensure it gets the attention it deserves. Plus, it’s super easy and straightforward!
How to prepare for a job interview at Randstad Technologies
✨Know Your Data Inside Out
Make sure you brush up on your knowledge of data and internal knowledge management. Familiarise yourself with semantic standards like RDF, OWL, and SKOS. Being able to discuss these frameworks confidently will show that you’re the right fit for the role.
✨Show Off Your SPARQL Skills
Since querying graph data using SPARQL is a key requirement, practice some sample queries before the interview. Be ready to explain your thought process and how you would approach different data challenges. This will demonstrate your technical prowess.
✨Embrace Asynchronous Communication
Given the remote nature of the team, highlight your experience with asynchronous communication tools like Slack. Share examples of how you've successfully collaborated with teams across different time zones, as this will be crucial in this role.
✨Be Ready for Ambiguity
The role involves testing new ideas and learning on the go, so prepare to discuss how you handle uncertainty. Share past experiences where you thrived in ambiguous situations, showcasing your adaptability and problem-solving skills.
