Melita I.

Key Skills

Software

Label Studio

Top Subject Matter

Computer vision (retail and real-world imagery)

NLP (chatbot-related text annotation)

AI training data preparation (audio/video)

Top Data Types

Image

Text

Audio

Top Task Types

Bounding Box

Audio Recording

Entity (NER) Classification

Object Detection

Freelancer Overview

Data Annotation Specialist, DataLens (Remote). Brings 8+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include N and A. Education includes Master of Science, Northumbria University (2025) and Bachelor of Science, Northumbria University (2018). AI-training focus includes data types such as Image, Text, and Audio and labeling workflows including Bounding Box, Entity (NER), and Audio Recording.

Labeling Experience

Data Annotation Specialist, DataLens (Remote)

AudioTranscription

Annotated audio and video content to support AI training objectives. Produced labeled outputs aligned with project guidelines to enable model learning. Ensured accuracy while working independently in a remote environment. • Audio annotation for training data • Video annotation for training data • Followed strict labeling instructions • Maintained accuracy and consistency

2026 - Present

Data Annotation Specialist, DataLens (Remote)

TextEntity (NER) Classification

Labeled text data for AI training by extracting entities and assigning intent categories. Supported chatbot development through accurate, guideline-driven annotations. Verified consistency and quality of labeled outputs to meet project requirements. • Named Entity Recognition (NER) labeling • Intent classification for chatbot utterances • Applied labeling guidelines for consistency • Prepared text annotations for training datasets

2026 - Present

Data Annotation Specialist, DataLens (Remote)

ImageBounding Box

Performed computer vision image annotations for retail and real-world datasets using bounding boxes, polygon segmentation, and key point marking. Completed semantic and instance segmentation labeling to support downstream model training. Maintained high accuracy and consistency while adhering to strict project guidelines and deadlines. • Bounding box labeling for objects of interest • Polygon segmentation and key point marking • Semantic and instance segmentation for images • Ensured label quality per project specs

2026 - Present

Education

Work History