Nkatha

Key Skills

Software

CVAT

Label Studio

Labelbox

Roboflow

Supervisely

Scale AI

Encord

Dataloop

Other

Top Subject Matter

Computer Vision

Natural Language Processing

Object Detection

Top Data Types

Image

Video

Audio

Text

Document

Top Task Types

Bounding Box

Polygon

Segmentation

Point/Key Point

Tracking

Object Detection

Classification

Transcription

Freelancer Overview

AI Training Specialist (ABC AI Solutions, Remote) — image/video/audio/text annotation and dataset QA. Core strengths include CVAT, Label Studio, and Labelbox. Education includes Bachelor of Science, N/A. AI-training focus includes data types such as Image, Video, and Audio and labeling workflows including Bounding Box, Polygon, and Segmentation.

Labeling Experience

AI Training Specialist (ABC AI Solutions, Remote) — image/video/audio/text annotation and dataset QA

CVATImageBounding BoxPolygon

Annotated image, video, audio, and text datasets for computer vision and natural language processing projects. Produced bounding boxes, polygons, semantic segmentation masks, and keypoint annotations for object detection models. Performed object tracking across video sequences and prepared YOLO-compatible datasets to match project specifications. • Created semantic segmentation and keypoint labels aligned to guideline requirements • Conducted data quality assurance reviews to maintain accuracy above benchmarks • Documented edge cases and resolved annotation challenges with AI engineers and project managers • Delivered labeled datasets meeting productivity and quality targets

2023 - Present

AI Data Quality Associate (Smart Vision Africa) — annotation review and dataset validation

OtherImageClassification

Reviewed annotated datasets to verify completeness, consistency, and accuracy against client guidelines and quality standards. Assisted with image classification and metadata verification tasks to ensure labeled outputs met project requirements. Escalated complex annotation cases for technical review and supported continuous improvement through detailed documentation and feedback. • Checked annotation outputs against client instructions and quality thresholds • Supported image classification and metadata verification • Escalated edge cases requiring higher-level technical assessment • Provided documentation and feedback to refine labeling processes

2022 - 2022

Data Annotation Specialist (Vision Data Technologies, Remote) — large-scale image/video/audio labeling and QA

OtherImageObject DetectionClassification

Annotated thousands of images for computer vision tasks including object detection and classification. Labeled video datasets using object tracking techniques across multiple frames and annotated speech/audio datasets for ASR systems. Validated completed annotations for completeness, consistency, and guideline compliance before delivery. • Labeled video sequences to support frame-based tracking labels • Annotated audio/speech content for automatic speech recognition targets • Performed validation checks and corrected inconsistencies • Supported dataset cleaning, quality control, and guideline refinement with reporting

2022 - 2022

Education

Work History