At a Glance
- Tasks: Label data and ensure quality for machine learning research projects.
- Company: Yellowcat, a dynamic company in the heart of London.
- Benefits: Earn £140 daily plus holiday allowance for your expertise.
- Other info: Temporary role with potential for extension; in-office position only.
- Why this job: Join a cutting-edge team and enhance your skills in a vibrant environment.
- Qualifications: Fluent in Polish and strong English communication skills required.
The predicted salary is between 33250 - 43607 £ per year.
Yellowcat is seeking a Linguist / Translator / Researcher for a temporary role in central London. This position is ideal for Polish language professionals with strong English skills. You will work with various data types and deliver quality labelled data.
The contract lasts 2 months with a possibility of extension and offers a daily rate of £140 + holiday allowance. This is an in-office position, five days a week, without remote work due to confidentiality concerns.
Polish Linguist & Data Labeller – ML Research (London) employer: Yellowcat
Yellowcat is an excellent employer that values linguistic expertise and offers a dynamic work environment in the heart of London. With competitive daily rates and a supportive culture, employees are encouraged to grow their skills while contributing to meaningful machine learning research. The collaborative atmosphere fosters professional development, making it an ideal place for Polish language professionals seeking rewarding opportunities.
StudySmarter Expert Advice🤫
We think this is how you could land Polish Linguist & Data Labeller – ML Research (London)
✨Tip Number 1
Network like a pro! Reach out to fellow linguists or professionals in the field on LinkedIn. A friendly chat can lead to insider info about job openings or even referrals.
✨Tip Number 2
Prepare for interviews by brushing up on your Polish and English skills. Practice common interview questions and think about how you can showcase your experience with data labelling.
✨Tip Number 3
Don’t just apply anywhere; focus on companies that align with your career goals. Check out our website for roles that suit your skills and interests, like the Polish Linguist position at Yellowcat!
✨Tip Number 4
Follow up after interviews! A quick thank-you email can keep you top of mind and show your enthusiasm for the role. It’s a small gesture that can make a big difference.
We think you need these skills to ace Polish Linguist & Data Labeller – ML Research (London)
Some tips for your application 🫡
Show Off Your Language Skills:Make sure to highlight your Polish and English language skills in your application. We want to see how you can bring your linguistic expertise to the table, so don’t hold back!
Tailor Your CV:Customise your CV to match the job description. We love seeing relevant experience, so if you've worked with data labelling or linguistics before, make it pop in your application!
Be Clear and Concise:When writing your cover letter, keep it straightforward and to the point. We appreciate clarity, so make sure you communicate why you're the perfect fit for this role without any fluff.
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. We can’t wait to hear from you!
How to prepare for a job interview at Yellowcat
✨Brush Up on Your Polish and English Skills
Make sure you're comfortable switching between Polish and English. Practise common phrases and terminology related to linguistics and data labelling, as you might be asked to demonstrate your language proficiency during the interview.
✨Know Your Data Types
Familiarise yourself with different types of data you might encounter in this role. Be prepared to discuss how you would approach labelling various data sets and any relevant experience you have in handling similar tasks.
✨Understand the Company’s Needs
Research Yellowcat and their projects. Knowing what they do and how your role fits into their goals will show that you're genuinely interested and can contribute effectively to their team.
✨Prepare Questions for Them
Think of insightful questions to ask about the role and the company culture. This not only shows your enthusiasm but also helps you determine if this is the right fit for you. Ask about the team you'll be working with or the tools they use for data labelling.
