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- Tasks: Transcribe and annotate data to support ethical AI development.
- Company: Join Sigma.AI, a leader in AI technology with a global presence.
- Benefits: Enjoy a collaborative work environment and opportunities for growth.
- Why this job: Be part of shaping the future of AI while enhancing your language skills.
- Qualifications: Native Lithuanian speaker with strong writing skills and attention to detail.
- Other info: Work in our vibrant London office and connect with like-minded individuals.
The predicted salary is between 24000 - 36000 £ per year.
Help shape the future of ethical AI. Sigma.AI is a world-leading technology company specializing in data collection and annotation for the development of Artificial Intelligence systems, with offices in Spain, the United States, and the United Kingdom. We are currently looking for native Lithuanian transcribers for a project in our London office.
Requirements:
- Good comprehension and written expression of Lithuanian language are essential, with no spelling mistakes.
- Computer skills at a user level.
- Attention to detail.
Valued skills:
- Experience in transcription or data annotation.
- Proficiency in other languages.
Lithuanian Linguistic Projects (London) employer: Sigma Group
Contact Detail:
Sigma Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lithuanian Linguistic Projects (London)
✨Tip Number 1
Familiarise yourself with the latest trends in AI and data annotation. Understanding the industry will not only help you during interviews but also show your genuine interest in the role.
✨Tip Number 2
Brush up on your Lithuanian language skills, especially in transcription. Practising with various texts can help you improve your comprehension and written expression, which are crucial for this position.
✨Tip Number 3
Network with professionals in the AI and linguistic fields. Attend relevant events or join online forums to connect with others who may have insights or tips about working at Sigma.AI.
✨Tip Number 4
Prepare for potential assessments by practising transcription tasks. This will help you demonstrate your attention to detail and computer skills, which are key requirements for the job.
We think you need these skills to ace Lithuanian Linguistic Projects (London)
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the job requirements for the Lithuanian Linguistic Projects position. Familiarise yourself with Sigma.AI and their focus on ethical AI to tailor your application accordingly.
Highlight Language Skills: Emphasise your proficiency in the Lithuanian language in your CV and cover letter. Mention any relevant experience in transcription or data annotation, as well as your attention to detail and computer skills.
Craft a Strong Cover Letter: Write a compelling cover letter that showcases your passion for AI and your understanding of the importance of ethical practices in technology. Use specific examples from your experience to demonstrate your suitability for the role.
Proofread Your Application: Ensure there are no spelling or grammatical errors in your application. A polished application reflects your attention to detail, which is crucial for this role. Consider asking a friend or using tools to help with proofreading.
How to prepare for a job interview at Sigma Group
✨Showcase Your Language Skills
Since the role requires a strong command of the Lithuanian language, be prepared to demonstrate your proficiency. You might be asked to transcribe a short passage or answer questions in Lithuanian, so brush up on your grammar and vocabulary beforehand.
✨Highlight Attention to Detail
Attention to detail is crucial for this position. During the interview, provide examples from your past experiences where your meticulous nature made a difference. This could be in transcription work or any other relevant tasks.
✨Familiarise Yourself with AI Concepts
Understanding the basics of AI and data annotation will give you an edge. Research Sigma.AI and their projects to show your enthusiasm and knowledge about the company’s mission and how you can contribute.
✨Prepare for Technical Questions
As the job requires computer skills, expect some technical questions. Be ready to discuss your experience with transcription software or any relevant tools. If you have experience in data annotation, make sure to mention it!
