Data Annotator

We are looking for a Data Annotator to label, categorize, and validate datasets used for AI, Machine Learning, and Generative AI applications. The candidate should have strong attention to detail and the ability to follow annotation guidelines accurately. Key Responsibilities Annotate and label text, images, audio, video, or other datasets based on project requirements. Review and validate annotated data for accuracy and consistency. Follow detailed annotation guidelines and project-specific instructions. Identify and correct errors, inconsistencies, and duplicate data. Perform data classification, categorization, tagging, and sentiment labeling. Support training datasets for Machine Learning, NLP, Computer Vision, and Generative AI models. Maintain high levels of accuracy and productivity while meeting project deadlines. Perform quality checks on completed annotation tasks. Escalate ambiguous or complex cases to the quality/team lead. Maintain confidentiality and follow data privacy and security guidelines. Collaborate with QA and project teams to improve annotation quality. Required Skills Good written and verbal communication skills. Strong attention to detail and analytical ability. Ability to understand and follow detailed instructions. Basic computer and MS Office/Google Workspace skills. Ability to work with repetitive tasks while maintaining accuracy. Good typing and data-handling skills. Ability to meet productivity and quality targets. Good to Have Experience in Data Annotation / Data Labeling / Content Moderation. Knowledge of AI, ML, NLP, or Generative AI concepts. Experience with annotation tools such as Label Studio, CVAT, Appen, Scale AI, or similar platforms. Experience annotating text, images, audio, or video datasets.