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We are looking for an Intermediate Data Annotator to join our team in Bangalore. In this role, you will go beyond simple data entry to act as a critical link in our Machine Learning pipeline. You will be responsible for high-precision labeling across multiple formats (text, image, and video) and will work closely with our Data Science and Analytics teams to refine the tools and processes that drive our AI models.
Job Responsibility:
High-Fidelity Annotation: Perform complex labeling and tagging of text, image, and video datasets using specialized internal software
Engineering Feedback Loop: Provide structured, constructive feedback to our engineers to improve the UX of our labeling tools and the efficiency of the data pipeline
Process Ownership: Maintain full ownership of assigned annotation tasks, ensuring high data integrity and quickly adapting to changes in audit requirements or labeling guidelines
Issue Documentation: Proactively identify and report bugs or inconsistencies within annotation documents and internal tools to the development team
Cross-Functional Collaboration: Interact with Data Scientists and Data Engineers to improve data curation strategies and ensure "gold standard" quality across all datasets
Requirements:
5+ years of professional experience in data annotation, data validation, or a high-volume QA environment
Excellent command of the English language (written and verbal) is essential for documenting edge cases and communicating with technical teams
Ability to maintain a high level of accuracy and attention to detail during repetitive, high-volume tasks
Comfortable navigating new software programs and providing technical feedback on tool functionality
A proactive, quality-focused professional who is reliable and can work independently within a contract framework
Strong ability to manage multiple annotation sets and keep documentation organized