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- 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: Great opportunity for career growth in a dynamic environment.
- Why this job: Be part of shaping the future of AI while using your language skills.
- Qualifications: Native or bilingual French speaker with 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
Contact Detail:
Sigma AI Recruiting Team
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 in AI or data annotation. A friendly chat can open doors and give you insider info on job openings.
✨Tip Number 2
Prepare for interviews by brushing up on your French and English skills. Practice common interview questions and think about how your experience aligns with the role. Confidence is key!
✨Tip Number 3
Showcase your skills! If you have any relevant projects or experiences, be ready to discuss them. Bring examples of your work in data annotation or related fields to impress the hiring team.
✨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 are proactive and engaged with our platform.
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 linguistic abilities and how they relate to data annotation.
Tailor Your CV: Don’t just send a generic CV! We want to see how your skills and experiences align with the role. Focus on any relevant projects or tasks you've done that involve data annotation or transcription, and make it clear how they connect to what we do.
Keep It Clear and Concise: When writing your application, clarity is key. Use straightforward language and avoid jargon unless it's relevant. We appreciate a well-structured application that gets straight to the point while still showcasing your personality!
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 shows us you're keen to join our team!
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 concepts and tools. Even if you have limited experience, showing that you understand the process and its importance in AI will impress the interviewers. Consider reviewing common annotation techniques and examples relevant to the role.
✨Showcase Your Tech Savvy
Basic computer skills are a must, so be ready to discuss your proficiency with various software and tools. If you've used any specific data annotation platforms, mention them! Highlighting your ability to adapt to new technologies can set you apart from other candidates.
✨Emphasise Collaboration Skills
This position is in a collaborative environment, so be prepared to talk about your teamwork experiences. Share examples of how you've successfully worked with others on projects, especially in a linguistic or tech context, to show that you're a great fit for their team.