At a Glance
- Tasks: Annotate and evaluate data to enhance AI content and localisation.
- Company: Leading tech company in London with a focus on innovation.
- Benefits: Flexible hours, competitive pay, and a collaborative work culture.
- Other info: Join a dynamic team and grow your career in tech.
- Why this job: Be part of shaping the future of AI while using your language skills.
- Qualifications: Native or bilingual French speaker, fluent in English, basic computer skills.
The predicted salary is between 30000 - 40000 £ per year.
A leading technology company in London is looking for a French Linguistic Projects professional to work on data annotation, transcription, and evaluation.
Candidates should be native or bilingual in French and fluent in English. Basic computer skills are necessary, while experience in data annotation is preferred.
Join us to shape the future of Artificial Intelligence in a collaborative environment.
French Data Annotator – AI Content & Localization (London) employer: Sigma AI
At Sigma AI, we pride ourselves on being an excellent employer by offering flexible working hours and the freedom to work from anywhere, making it ideal for those seeking a balanced lifestyle. Our inclusive work culture fosters collaboration and innovation, while providing opportunities for personal and professional growth in the dynamic field of data annotation and linguistics. Join us to be part of a forward-thinking team that values your contributions and supports your development.
StudySmarter Expert Advice🤫
We think this is how you could land French Data Annotator – AI Content & Localization (London)
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those already working at the company you're eyeing. A friendly chat can sometimes lead to insider tips or even a referral!
✨Tip Number 2
Prepare for the interview by brushing up on your data annotation skills. Familiarise yourself with common tools and techniques used in the field. We want you to feel confident and ready to impress!
✨Tip Number 3
Showcase your passion for AI and language! During interviews, share your thoughts on how data annotation impacts AI development. This will demonstrate your enthusiasm and understanding of the role.
✨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 that extra step to connect with us directly.
We think you need these skills to ace French Data Annotator – AI Content & Localization (London)
Some tips for your application 🫡
Show Off Your Language Skills:Since we're looking for someone who's native or bilingual in French, make sure to highlight your language proficiency. Use examples from your experience that showcase your fluency in both French and English.
Tailor Your Application:Don’t just send a generic CV! We want to see how your skills and experiences align with the role of a French Data Annotator. Mention any relevant projects or experiences in data annotation or transcription that you've worked on.
Keep It Professional Yet Personal:While we love a friendly tone, remember to keep it professional. Share a bit about yourself and why you're excited about this role, but also ensure your application is polished and free of errors.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Sigma AI
✨Brush Up on Your French
Since the role requires a strong command of French, make sure to practice your language skills before the interview. Be prepared to demonstrate your fluency in both spoken and written French, as you may be asked to translate or annotate sample texts.
✨Know Your Data Annotation Basics
Familiarise yourself with data annotation tools and techniques. Even if you don’t have extensive experience, showing that you understand the basics will impress the interviewers. Consider reviewing common practices in data annotation to discuss during your interview.
✨Showcase Your Tech Savvy
Basic computer skills are a must, so be ready to talk about your experience with various software and tools. If you’ve used any specific data annotation platforms, mention them! This shows you’re proactive and ready to hit the ground running.
✨Emphasise Collaboration Skills
This role is in a collaborative environment, so highlight your ability to work well with others. Share examples from past experiences where you successfully collaborated on projects, especially in linguistics or tech-related fields. It’ll show you’re a team player!
