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- Aufgaben: Analyze language data, identify issues, and collaborate with international teams.
- Arbeitgeber: Join TELUS Digital, a leader in machine learning projects in Barcelona.
- Mitarbeitervorteile: Enjoy meal vouchers, private medical insurance, and discounts on gym memberships.
- Warum dieser Job: Be part of an innovative team improving AI systems while enjoying a positive work environment.
- Gewünschte Qualifikationen: Fluency in Danish, Swedish, Arabic, or Norwegian; background in linguistics preferred.
- Andere Informationen: Work onsite in a vibrant office with no overtime or weekend shifts.
Das voraussichtliche Gehalt liegt zwischen 36000 - 60000 € pro Jahr.
Description and Requirements
TELUS Digital is looking for Language Data Analysts in Barcelona, Spain to work onsite for a machine learning project! At the moment, we are looking for candidates with fluency in Danish, Swedish, Arabic or Norwegian.
Language Data Analysts will analyze data in a given language and identify potential issues. They will also collaborate with international testing teams and engineers to help reproduce issues and test features. Data obtained will be used to train and improve speech recognition and AI systems.
RESPONSIBILITIES:
- Linguistic data labelling.
- Analyzing language data in the given language and identifying potential issues and patterns.
- Collaborating with an international testing team and engineers to help reproduce issues and test features.
- Communicating with various departments.
SKILLS AND QUALIFICATIONS:
- Fluency in Danish, Arabic, Swedish or Norwegian.
- Preferred educational background: linguistics, literature or translation.
- Available to work onsite in Barcelona, Spain.
- Excellent reading, writing and comprehension skills in English; ability to understand and closely follow elaborate guidelines in English.
- In-depth knowledge of native culture and history, staying up to date with day-to-day news and happenings in the target country and regular use of the language required.
- Strong attention to detail and ability to meet project targets.
- Self-motivated and able to work as part of the team or independently.
- Good computer and software skills across different operating systems.
- Strong typing skills.
- Good organizational skills.
- Adaptable to changing environments.
WHAT WE OFFER:
- Meal vouchers
- Referral program with attractive bonuses
- Private medical insurance for employees and relatives
- Great office at a top location
- Positive international working environment (relaxing zones, terrace, kitchen)
- Discounts in gym memberships
- Career development opportunities
- No overtime or weekend work
- Continuous support and learning
- Access to counseling sessions
If this opportunity sounds appealing to you, apply now! Kindly attach your CV in English.
*Please note that only shortlisted candidates will be contacted. #J-18808-Ljbffr
Language Data Analyst Arbeitgeber: TELUS Digital -
Kontaktperson:
TELUS Digital - HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Language Data Analyst
✨Tip Number 1
Make sure to brush up on your language skills, especially in Danish, Swedish, Arabic, or Norwegian. Being fluent is crucial, so practice analyzing language data and identifying patterns to showcase your expertise.
✨Tip Number 2
Familiarize yourself with machine learning concepts and how they relate to language data analysis. Understanding the basics will help you communicate effectively with engineers and testing teams during the interview process.
✨Tip Number 3
Stay updated on current events and cultural happenings in the target country of your language. This knowledge will not only enhance your understanding but also demonstrate your commitment to the role and its requirements.
✨Tip Number 4
Highlight your attention to detail and organizational skills during any discussions. Be prepared to share examples of how you've successfully managed projects or tasks that required precision and focus.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Language Data Analyst
Tipps für deine Bewerbung 🫡
Understand the Role: Make sure to thoroughly read the job description for the Language Data Analyst position. Understand the responsibilities and required skills, especially the importance of fluency in Danish, Swedish, Arabic, or Norwegian.
Tailor Your CV: Customize your CV to highlight relevant experience and skills that align with the job requirements. Emphasize your linguistic background, attention to detail, and any previous experience in data analysis or collaboration with international teams.
Craft a Strong Cover Letter: Write a compelling cover letter that showcases your passion for language and technology. Mention your fluency in the required languages and how your skills can contribute to the machine learning project at TELUS Digital.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any grammatical errors or typos. Ensure that your documents are clear, concise, and professional, as attention to detail is crucial for this role.
Wie du dich auf ein Vorstellungsgespräch bei TELUS Digital - vorbereitest
✨Showcase Your Language Skills
Make sure to demonstrate your fluency in Danish, Swedish, Arabic, or Norwegian during the interview. Be prepared to discuss your experience with the language and how you stay updated with cultural and linguistic nuances.
✨Highlight Your Analytical Abilities
Since the role involves analyzing language data, be ready to provide examples of past experiences where you've successfully identified issues or patterns in data. This will show your potential employer that you have the analytical mindset they are looking for.
✨Emphasize Team Collaboration
The job requires collaboration with international teams, so share examples of how you've worked effectively in a team setting. Highlight your communication skills and ability to adapt to different working styles.
✨Prepare for Technical Questions
Familiarize yourself with the tools and software commonly used in data analysis. Be ready to discuss your computer skills and any relevant software experience, as this will demonstrate your readiness for the technical aspects of the role.
