Data Annotation Specialist - E-Commerce (Bali Placement)

Join Teleperformance as a Data Annotation Specialist in our vibrant Bali office and play a key role in enhancing e-commerce data accuracy and quality. This is a unique opportunity to work with cutting-edge annotation tools and contribute to projects that power AI-driven e-commerce solutions. As a Data Annotation Specialist, you will be responsible for annotating and validating large datasets to ensure high-quality training data for machine learning models. You will work with a diverse range of e-commerce data, including product images, customer reviews, and transaction histories, using advanced annotation tools like Labelbox or Prodigy.

At Teleperformance, we are committed to fostering a collaborative and innovative work environment. Our Bali office is not just a place of work but a hub of creativity and growth. You will have the chance to work on projects that directly impact the e-commerce industry, helping to improve the accuracy and efficiency of AI systems. This role is perfect for someone who is passionate about data and wants to make a tangible impact in the world of AI and e-commerce.

📋 Tanggung Jawab Pekerjaan

• Annotate and validate large datasets of e-commerce data, including product images, customer reviews, and transaction histories.
• Use advanced annotation tools like Labelbox or Prodigy to ensure high-quality training data for machine learning models.
• Collaborate with data scientists and AI engineers to understand project requirements and deliver accurate annotations.
• Participate in quality assurance processes to maintain the integrity and consistency of annotated data.
• Provide feedback on annotation guidelines and processes to improve efficiency and accuracy.
• Stay updated with the latest trends and technologies in data annotation and AI.
• Contribute to the continuous improvement of data annotation processes within the team.
• Ensure compliance with data privacy and security regulations.

🎓 Kualifikasi & Syarat

• Bachelor's degree in Computer Science, Data Science, or a related field.
• Minimum of 2 years of experience in data annotation or a related role.
• Proficient in using annotation tools like Labelbox or Prodigy.
• Strong attention to detail and accuracy in data annotation tasks.
• Good understanding of e-commerce data and AI applications.
• Excellent communication and collaboration skills.
• Ability to work independently and meet deadlines.
• Familiarity with data privacy and security best practices.

🛠️ Keahlian

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