Job
Description
About The Role: As a Subject Matter Expert (SME) in Data Annotation, you will play a critical role in ensuring the highest quality of data labelling across various projects. Technical and Domain expert Mentor annotation teams Establish annotation guidelines Conduct quality audits Support client and internal teams with domain-specific insights. Tools Experience Expected: CVAT, Amazon SageMaker, BasicAI, LabelStudio, SuperAnnotate, Loft, Cogito, Roboflow, Slicer3D, Mindkosh, Kognic, Praat Annotation Expertise Areas: Image, Video: Bounding Box, Polygon, Semantic Segmentation, Keypoints 3D Point Cloud: LiDAR Annotation, 3D Cuboids, Semantic Segmentation Audio Annotation: Speech, Noise Labelling, Transcription Text Annotation: NER, Sentiment Analysis, Intent Detection, NLP tasks Exposure to LLMs and Generative AI data annotation tasks (prompt generation, evaluation) Key Responsibilities: Act as a Subject Matter Expert to guide annotation standards, processes, and best practices. Create, refine, and maintain detailed annotation guidelines and ensure adherence across teams. Conduct quality audits and reviews to maintain high annotation accuracy and consistency. Provide domain-specific training to Data Annotators and Team Leads. Collaborate closely with Project Managers, Data Scientists, and Engineering teams for dataset quality assurance. Resolve complex annotation issues and edge cases with data-centric solutions. Stay current with advancements in AI/ML and annotation technologies and apply innovative methods. Support pre-sales and client discussions as an annotation domain expert, when required. Key Performance Indicators (KPIs): Annotation quality and consistency across projects Successful training and upskilling of annotation teams Timely resolution of annotation queries and technical challenges Documentation of guidelines, standards Client satisfaction on annotation quality benchmarks Qualifications: Bachelor's or master's degree in a relevant field (Computer Science, AI/ML, Data Science, Linguistics, Engineering, etc.) 3–6 years of hands-on experience in data annotation, with exposure to multiple domains (vision, audio, text, 3D). Deep understanding of annotation processes, tool expertise, and quality standards. Prior experience in quality control, QA audits, or SME role in annotation projects. Strong communication skills to deliver training, documentation, and client presentations. Familiarity with AI/ML workflows, data preprocessing, and dataset management concepts is highly desirable. Work Location: In-person (Salem, Tamil Nadu) Schedule: Day Shift Monday to Saturday Weekend availability required Supplemental Pay: Overtime pays Performance bonus Shift allowance Yearly bonus INTERVIEW TYPE: Walkin(293/4, MG Rd, New Fairlands, Salem-636016) Contact:9489979523(HR) Walkin timings: 22nd May,2025(2.30pm-6pm),23rd May,2025(9.00am-6pm) Job Type: Full-time Pay: ₹25,000.00 - ₹30,000.00 per month Schedule: Day shift Experience: data annotation: 2 years (Preferred) Work Location: In person
