About Intellismith Intellismith, founded in 2019, is a dynamic HR service and technology startup. Our mission is to tackle India’s employability challenges head-on. We specialize in scaling talent acquisition and technology resource outsourcing. Also, as an IBM and Microsoft Business Partner, we leverage industry-leading solutions to enhance and diversify our offerings. As we chart our growth trajectory, we’re transitioning from a service-centric model to a product-focused company. Our journey involves building a cutting-edge skilling platform to empower Indian youth with domain-specific training, making them job-ready for the competitive market. Why Join Intellismith? Impactful Mission: Be part of a forward-thinking organisation committed to solving employability challenges. Your work directly contributes to bridging the skills gap and transforming lives. Innovation and Growth: Contribute to our exciting transition from services to products. Shape the future of our skilling platform and impact Indian youth positively. Collaborative Environment: Work alongside talented professionals across multiple locations. Our diverse teams foster creativity and learning. Entrepreneurial Spirit: Intellismith encourages fresh ideas and entrepreneurial thinking. Your voice matters here. As a leading outsourcing partners, we are hiring a Data Annotator to work on a project for our client, which is the largest provider of telecoms and mobile money services in 14 countries spanning Sub-Saharan, Central, and Western Africa. Purpose: A Data Annotator/Labeler will be responsible for creating high-quality labeled datasets used for various analytical purposes. This role involves working with multiple data types including images, text, audio to prepare structured datasets according to project guidelines. The work supports the development of data-driven solutions across multiple industries and applications. Job Details Experience required- 3-5 years of experience in data annotation. CTC Bracket - Competitive and commensurate with experience Qualification- BE / B Tech / MCA / BCA / MTech. Location - Gurugram (WFO - 5 days) Notice Period: Immediate to 15 days (Candidates with notice period of less than 30 days are preferred) Mandatory Skills: Must have experience of Annotation tools Must have experience of Excel for data entry & reporting Required Skills: Strong attention to detail and consistency in labeling tasks Proficiency with Excel for data entry and reporting Excellent judgment skills for establishing and maintaining quality standards Experience with basic data annotation tools and platforms Ability to follow detailed guidelines while maintaining efficiency Visual analysis capabilities for image-based work Good listening skills for audio processing tasks when required Good communication skills for clarifying requirements and reporting issues Ability to maintain focus during repetitive tasks while ensuring quality Responsibilities: Review and label various types of data according to established guidelines Process images through detailed visual inspection, comparison, and categorization Identify visual elements, objects, or features within images based on project criteria Evaluate image quality and apply appropriate quality benchmarks Perform structured data entry and organization tasks using Excel and other tools Apply judgment skills to maintain quality standards across processes Analyze text data for relevant patterns, topics, or characteristics Create classification schemas for organizing related data points Extract key information from documents and structured sources Complete annotation tasks with high accuracy while meeting productivity targets Preferred qualifications: Previous experience in data annotation, data entry, or related fields 3-5 years Familiarity with different annotation methodologies (bounding boxes, semantic segmentation, etc.) Basic understanding of machine learning concepts and data applications Background in quality assurance or data validation #DataAnnotation #CVAT #Annotator #Labeling #immediatejoiners #Career #Jobopportunity Show more Show less