Narendra Rewatkar

About Narendra Rewatkar

AI Data Annotation Specialist | 4 Years ExperienceSummary:Experienced AI Data Annotation Specialist with 4 years of hands-on expertise in labeling, tagging, and validating diverse datasets for Machine Learning and Artificial Intelligence projects. Skilled in delivering high-quality annotations across text, image, video, and audio data to enhance model performance and accuracy.Key Responsibilities:Executed data labeling and annotation tasks following project-specific guidelines for supervised learning models.Worked on diverse data types: image classification, object detection (bounding boxes, polygons, segmentation), text annotation (NER, sentiment analysis), and audio transcription.Ensured data quality and consistency through multi-level reviews, QA checks, and feedback loops.Collaborated with ML engineers and data scientists to refine annotation strategies and improve model outcomes.Utilized popular annotation tools such as Labelbox, CVAT, SuperAnnotate, RectLabel, and LabelImg.Contributed to AI projects in Computer Vision, NLP, Autonomous Driving, Healthcare, and E-commerce domains.Key Achievements:Maintained 98%+ annotation accuracy across multiple long-term projects.Trained and mentored new annotators to improve team efficiency and output quality.Supported dataset development for high-impact AI applications used in production environments.Skills:Image & Video Annotation | NLP Annotation | Data Quality Control | Labeling Tools | QA Process | Collaboration with ML Teams.

Experience

1. Data Annotator

   Biz-Tech Analytics

   Dec 2025 — Present · Nagpur, IN

   Annotated and labeled large-scale datasets including text, images, audio, and video for AI and machine learning models.• Evaluated AI-generated responses to improve accuracy, relevance, and safety of outputs.• Performed data cleaning, filtering, and preprocessing to ensure high-quality training datasets.• Followed detailed annotation guidelines and project-specific instructions with high precision.• Conducted quality assurance (QA) checks to maintain consistency and reduce errors in labeled data.• Reviewed peer annotations and provided feedback to improve overall team performance.• Worked on Natural Language Processing (NLP) tasks such as sentiment analysis, intent classification, and entity recognition.• Assisted in prompt evaluation and ranking for Large Language Models (LLMs).• Identified edge cases and reported inconsistencies to improve model training processes.• Maintained productivity targets while ensuring high accuracy and attention to detail.• Used annotation tools and platforms efficiently (e.g, labeling tools, spreadsheets, internal AI tools).• Collaborated with cross-functional teams including data scientists and project managers.• Adapted quickly to new project requirements, guidelines, and AI model updates.

Education

• Nagpur Institute of Technology, Katol road

  Bachelor of Engineering - BE, Computer Science and Engineering

  2015 — 2018