Data Labelling & Annotation Service — Up to 1,000 Records

I will label and annotate up to 1,000 data records for your machine learning and AI training dataset — including text annotation, text classification, sentiment analysis, named entity recognition (NER), image annotation, image classification, bounding boxes, and custom categorical labels based on your annotation guidelines.

Accurate data annotation and high-quality labeled datasets are essential for training reliable machine learning and AI models. I focus on consistent, precise annotation while following your labeling schema and project requirements, helping you build clean, structured, and production-ready training data.

The annotation process includes schema review and clarification, consistent label application, sample-based quality checking, documentation of ambiguous cases and resolution decisions, and delivery in your required format. I can provide annotated datasets in CSV, Excel, JSON, YOLO, or COCO format, depending on your project and machine learning workflow.

This service is ideal for AI developers, machine learning teams, data scientists, startups, and businesses that need reliable data labeling and annotation for NLP, computer vision, sentiment analysis, classification, and other AI/ML projects. An annotation quality report covering label distribution and flagged edge cases is also included.