5.0 - 10.0 years

8 - 10 Lacs

Chennai

Work from Office

Job Overview: We are seeking a highly detail-oriented and experienced Data Annotation Specialist to join our AI/ML team. The ideal candidate will have a solid background in labeling multimodal data (image, text, video, audio) for machine learning applications and a proven ability to maintain high-quality annotation standards. This role requires a mix of technical proficiency, domain awareness, and strong quality assurance capabilities. Key Responsibilities: Annotate image, text, video, and multimodal datasets for AI/ML model training. Perform object detection, classification, and tagging in visual data. Conduct text annotation for intent detection, sentiment analysis, and named entity recognition (NER). Execute video annotation for activity recognition and event labeling. Apply quality assurance (QA) standards across annotation tasks and provide feedback to maintain consistency. Use industry-standard annotation tools such as Labelbox, CVAT, Prodigy, AWS SageMaker Ground Truth, and Scale AI platforms. Interpret and implement complex annotation guidelines with minimal supervision. Collaborate with cross-functional teams to refine annotation schema and ensure data readiness for model training pipelines. Required Qualifications: 5+ years of hands-on experience in data labeling/annotation across multiple data types. Proficiency with annotation platforms including (but not limited to) Labelbox, CVAT, Prodigy, and AWS Ground Truth . Strong attention to detail with the ability to maintain accuracy in repetitive tasks. Familiarity with QA processes in the data annotation lifecycle. Basic understanding of machine learning workflows and data preparation. Experience working with complex annotation guidelines and adapting to evolving task requirements. Preferred Qualifications: Domain knowledge in Natural Language Processing (NLP), Computer Vision , or Speech Recognition . Experience with scripting languages like Python for data preprocessing, automation, or QA validation. Prior experience in leading annotation teams or managing projects with distributed contributors. Familiarity with agile project management tools such as Jira or Asana. Soft Skills: Excellent verbal and written communication skills. Strong collaboration mindset, capable of working with interdisciplinary teams. Ability to work independently , manage multiple tasks, and prioritize effectively. Proactive problem-solver with a keen eye for process optimization.

Posted 4 days ago

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