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- Tasks: Analyse linguistic data and conduct quality checks while collaborating with tech teams.
- Company: Leading AI training data company with a focus on innovation.
- Benefits: Dynamic work environment and opportunities for career growth.
- Why this job: Join a cutting-edge team and make an impact in AI evaluation.
- Qualifications: Degree in linguistics or related field, experience with Python and structured data.
- Other info: Full-time role with a vibrant culture and growth potential.
The predicted salary is between 30000 - 42000 £ per year.
A leading AI training data company is seeking a Computational Linguist (English UK) to analyze and interpret linguistic data. The ideal candidate will hold a degree in linguistics or a related field and have experience with structured data formats and Python.
Key responsibilities include:
- Conducting quality checks
- Annotating content
- Collaborating with technical teams
This full-time role offers a dynamic work environment and opportunities for career growth.
Computational Linguist (UK English): Data-Driven AI Evaluation employer: Appen
Contact Detail:
Appen Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Computational Linguist (UK English): Data-Driven AI Evaluation
✨Tip Number 1
Network like a pro! Reach out to professionals in the AI and linguistics fields on LinkedIn. Join relevant groups and engage in discussions to get your name out there.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your work with structured data formats and Python. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on common questions related to computational linguistics. Practice explaining your past projects and how they relate to the role you're applying for.
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to submit your application and stand out from the crowd. Plus, we love seeing candidates who take that extra step.
We think you need these skills to ace Computational Linguist (UK English): Data-Driven AI Evaluation
Some tips for your application 🫡
Show Off Your Linguistic Skills: Make sure to highlight your degree in linguistics or any related field in your application. We want to see how your background aligns with the role, so don’t hold back on showcasing your knowledge and experience!
Get Technical: Since we’re looking for someone with experience in structured data formats and Python, be sure to mention any relevant projects or skills you have in these areas. A little technical flair can go a long way in making your application stand out!
Quality Matters: As part of your application, consider including examples of your previous work that demonstrate your attention to detail and ability to conduct quality checks. We love seeing how you ensure high standards in your work!
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. Don’t miss out!
How to prepare for a job interview at Appen
✨Know Your Linguistics
Brush up on your linguistics knowledge and be ready to discuss key concepts. Make sure you can explain how your degree and experience relate to the role, especially in terms of analysing and interpreting linguistic data.
✨Showcase Your Technical Skills
Be prepared to talk about your experience with structured data formats and Python. Consider bringing examples of past projects where you've used these skills, as this will demonstrate your practical knowledge and problem-solving abilities.
✨Understand the Company’s Mission
Research the company and its role in AI training data. Understanding their goals and how they evaluate data will help you align your answers with their needs, showing that you're genuinely interested in contributing to their success.
✨Prepare for Collaboration Questions
Since the role involves working with technical teams, think of examples from your past experiences where you've successfully collaborated. Be ready to discuss how you handle feedback and work within a team to achieve common goals.
