Yunnaan K.

Key Skills

Software

Other

CVAT

Data Annotation Tech

iMerit

Micro1

Top Subject Matter

Machine learning datasets (text/image/video)

Video object tracking/bounding box annotation

Laboratory data documentation

Top Data Types

Text

Video

Image

Top Task Types

Entity (NER) Classification

Tracking

Diagnosis

Bounding Box

Classification

Text Generation

RLHF

Text Summarization

Transcription

Data Collection

Point/Key Point

Segmentation

Object Detection

Question Answering

Evaluation/Rating

Freelancer Overview

Freelance Data Annotator. Brings 5+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other, N, and A. Education includes Bachelor of Science (Honours), University of Jos (2023) and Diploma in Computer Applications, Goavpanje Computer College (2021). AI-training focus includes data types such as Text, Video, and Medical and labeling workflows including Entity (NER) Classification, Tracking, and Diagnosis.

Labeling Experience

Freelance Video Annotator

OtherVideoTracking

Freelanced as a video annotator focusing on bounding boxes and object tracking for video datasets. Delivered frame-by-frame annotations with attention to temporal consistency across large collections. Collaborated with stated annotation guidelines to maintain high-quality outputs suitable for model development.• Used bounding boxes and object tracking techniques for video datasets• Ensured frame-by-frame accuracy and consistency across large sequences• Followed project guidelines to maintain standardized annotation quality• Maintained precision across multiple frames for downstream training

2025 - 2025

Freelance Data Annotator

OtherTextEntity (NER) Classification

Freelanced as a data annotator to support machine learning dataset creation and downstream model training. Labeled textual data and maintained consistency with project guidelines to ensure reliable learning signals. Performed verification checks to catch errors that could reduce dataset quality.• Annotated and labeled datasets including text, images, and video for ML use cases• Ensured labeled outputs met accuracy, completeness, and consistency standards• Identified and corrected labeling errors to improve dataset quality• Reviewed annotations for guideline adherence and quality assurance

2025 - 2025

Laboratory Analyst (SIWES) — Jos University Teaching Hospital

Diagnosis

Supported data documentation and structured record keeping through laboratory analyses requiring accurate data handling and compliance with procedures. While not explicitly described as AI labeling, the work involved careful creation and validation of detailed results that could be used as labeled inputs for analysis workflows. Maintained high accuracy and standard documentation practices.• Conducted detailed laboratory analyses with high accuracy and documentation standards• Maintained structured records and ensured compliance with procedures• Emphasized data integrity and correctness during documentation• Produced reliable, well-documented outputs for institutional use

2023 - 2023

Education

Work History