At a Glance
- Tasks: Categorise, annotate, transcribe, and evaluate data for AI training.
- Company: Join Sigma.AI, a global leader in AI solutions.
- Benefits: Training provided, flexible hours, and a chance to work with cutting-edge technology.
- Other info: No prior experience needed; perfect for students looking to gain valuable skills.
- Why this job: Help shape the future of AI while working in a diverse team.
- Qualifications: Native Indonesian speaker, fluent in English, basic computer skills.
The predicted salary is between 22500 - 27500 £ per year.
Sigma.
AI is recruiting a data annotation role in London.
You will categorise, annotate, transcribe and evaluate data for AI training, including audio, video, images, and text.
This position is suitable for native Indonesian speakers who are fluent in English and have basic computer skills.
Join a global team and help shape AI solutions. Experience in data labeling is preferred but not required; training is provided.
Indonesian Linguistic Specialist — Data Annotation & Transcription in London employer: Sigma Group
Sigma AI is an exceptional employer, offering a vibrant work culture in the heart of Madrid, where diversity thrives with over a thousand team members from more than 100 countries. Employees benefit from a collaborative environment that fosters personal and professional growth, alongside opportunities to engage with cutting-edge AI projects for multinational clients. Join us to be part of a dynamic team that values proactivity, empathy, and integrity, ensuring a rewarding experience for both candidates and recruiters alike.
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We think this is how you could land Indonesian Linguistic Specialist — Data Annotation & Transcription in London
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We think you need these skills to ace Indonesian Linguistic Specialist — Data Annotation & Transcription in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
