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- Tasks: Categorise, annotate, transcribe, and create content in Mongolian.
- Company: Join Sigma AI, a leading global tech company in AI.
- Benefits: Vibrant work environment with collaboration and growth opportunities.
- Other info: Experience in data annotation is a plus.
- Why this job: Make an impact in AI while using your language skills.
- Qualifications: Native or bilingual Mongolian speaker fluent in English; basic computer skills required.
The predicted salary is between 30000 - 40000 £ per year.
Sigma AI is looking for a qualified candidate to join their linguistic projects in Greater London, UK. The role requires a native or bilingual Mongolian speaker who is fluent in English.
Responsibilities include:
- Categorization
- Annotation
- Transcription
- Content creation
Candidates should possess basic computer skills, and experience in data annotation is a plus. This opportunity involves working within a leading global technology company specialized in AI, offering a vibrant and collaborative environment.
Mongolian Language Data Annotations — London employer: Sigma AI
Contact Detail:
Sigma AI Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Mongolian Language Data Annotations — London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those already working at Sigma AI. 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 language skills and understanding the basics of data annotation. We want to show them you’re not just a native speaker but also someone who knows the ropes!
✨Tip Number 3
Show off your passion for AI and technology! Research Sigma AI and be ready to discuss how your skills can contribute to their projects. It’s all about making that connection between your experience and their needs.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we’ve got loads of resources to help you ace the process.
We think you need these skills to ace Mongolian Language Data Annotations — London
Some tips for your application 🫡
Show Off Your Language Skills: Make sure to highlight your proficiency in both Mongolian and English. We want to see how fluent you are, so don’t hold back on showcasing your language abilities in your application!
Tailor Your Experience: If you've got any experience in data annotation or similar tasks, let us know! We love seeing relevant skills, so be sure to mention any projects or roles that relate to categorization, transcription, or content creation.
Keep It Clear and Concise: When writing your application, clarity is key. We appreciate straightforward communication, so keep your sentences clear and to the point. Avoid jargon unless it’s relevant to the role!
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 this exciting opportunity with Sigma AI!
How to prepare for a job interview at Sigma AI
✨Know Your Language Inside Out
As a native or bilingual Mongolian speaker, make sure you brush up on your language skills. Be prepared to demonstrate your fluency in both Mongolian and English during the interview. Practise common phrases and terminology related to data annotation to show your expertise.
✨Familiarise Yourself with Data Annotation
Since experience in data annotation is a plus, take some time to understand the basics of the process. Research common tools and techniques used in the industry. Being able to discuss these during your interview will show that you're proactive and genuinely interested in the role.
✨Showcase Your Computer Skills
Basic computer skills are essential for this position. Make sure you can confidently navigate software and tools relevant to data annotation. If you have any experience with specific programmes, be ready to talk about them and how you've used them in the past.
✨Emphasise Collaboration and Teamwork
Sigma AI values a vibrant and collaborative environment, so highlight any previous experiences where you've worked effectively in a team. Share examples of how you contributed to group projects or helped colleagues, as this will demonstrate that you can thrive in their work culture.