Salome K.

Key Skills

Software

No software listed

Top Subject Matter

Computer vision dataset annotation for machine learning training

Conversational AI and NLP data labeling for machine learning training

Legal Services & Contract Review

Top Data Types

Image

Text

Document

Top Task Types

Object Detection

Entity (NER) Classification

Freelancer Overview

AI Data Labeler & Freelance Annotator (Remote). Brings 2+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include N and A. AI-training focus includes data types such as Image and Text and labeling workflows including Object Detection and Entity (NER) Classification.

Labeling Experience

AI Data Labeler & Freelance Annotator (Remote)

TextEntity (NER) Classification

Provided text labeling for conversational AI and NLP model training tasks in a remote annotation role. Generated structured labels for textual inputs to improve downstream intent understanding and language processing quality. Followed project rules and identified edge cases to maintain labeling integrity. • Performed content moderation and text categorization tasks. • Completed intent labeling for chatbot and conversational AI training. • Ensured compliance with guideline requirements and quality benchmarks. • Collaborated with teams to adapt labeling to evolving standards and feedback.

2025 - Present

AI Data Labeler & Freelance Annotator (Remote)

ImageObject Detection

Served as an AI Data Labeler and freelance annotator for remote projects involving computer vision dataset creation and refinement. Applied consistent high-quality visual annotations to support training of machine learning models under strict guideline and quality benchmarks. Maintained accuracy and adaptability while responding to evolving project requirements and feedback loops. • Annotated complex visual datasets using bounding boxes and polygon-style delineation. • Produced semantic segmentation tags for thousands of images weekly. • Delivered 98%+ accuracy while handling large-scale labeling volumes. • Performed review and iteration with project teams based on feedback and updated standards.

2025 - Present

Work History