About the Company
NTT DATA UK is a leading global IT innovator and trusted partner, delivering business and technology consulting, industry solutions, digital transformation, and managed services. With a commitment to enhancing clients’ competitiveness and accelerating digital change, we leverage our global presence and local expertise to create value for businesses across various sectors. We pride ourselves on fostering an inclusive and innovative environment where talent can thrive and contribute to shaping the future of technology.
Job Description
Are you meticulous, tech-savvy, and eager to kickstart a career in the rapidly growing field of AI and machine learning? NTT DATA UK is looking for enthusiastic WFH Data Labeling Trainees to join our innovative team. This is a fantastic entry-level opportunity to contribute to cutting-edge AI development, working 100% remotely from the comfort of your home. We provide comprehensive training, equipping you with the skills needed to accurately label and annotate diverse datasets, supporting the development and refinement of advanced AI models. If you have a keen eye for detail and a desire to learn, we want to hear from you!
Key Responsibilities
- Accurately label and annotate various types of data (e.g., images, text, audio, video) according to specific project guidelines.
- Ensure the quality and consistency of labeled data to meet project standards.
- Participate in training sessions to understand new tools, guidelines, and project requirements.
- Provide feedback on labeling tools and processes to enhance efficiency and accuracy.
- Maintain high levels of productivity and meet daily/weekly labeling targets.
- Collaborate with team members and project leads through remote communication channels.
Required Skills
- Excellent attention to detail and strong observational skills.
- Proficiency in using a computer and basic software applications.
- Reliable high-speed internet connection and a suitable home office setup.
- Strong English comprehension and communication skills.
- Self-motivated and able to work independently in a remote environment.
- Eagerness to learn new concepts and adapt to evolving guidelines.
Preferred Qualifications
- Familiarity with data annotation tools or previous experience in data entry.
- Basic understanding of AI, machine learning, or computer vision concepts.
- Experience with multiple languages (e.g., European languages) is a plus.
- A degree or coursework in a related field (e.g., Computer Science, Linguistics, Data Science).
Perks & Benefits
- 100% remote work flexibility, saving commute time and costs.
- Comprehensive paid training and ongoing support.
- Opportunity to work on cutting-edge AI and machine learning projects.
- Clear pathways for career growth and development within a global tech leader.
- Competitive trainee salary with performance incentives.
- Access to a supportive and collaborative virtual team environment.
How to Apply
If you are interested in this position, please click the "Apply Now" button below. To ensure your application is properly considered, please prepare the following:
- An up-to-date Resume or CV
- A brief cover letter summarizing your experience and motivation
Applications are reviewed on a rolling basis. Only shortlisted candidates will be contacted for an interview.
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