Denis K.

Key Skills

Software

Labelbox

CVAT

Other

Top Subject Matter

Computer vision (autonomous vehicles and related domains)

Autonomous vehicles dataset annotation

E-commerce product classification and tagging

Top Data Types

Image

Document

Text

Top Task Types

Segmentation

Object Detection

Entity (NER) Classification

Freelancer Overview

Data Labeling Specialist (DataAnnotation Solutions). Brings 4+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Labelbox, CVAT, and Other. Education includes Bachelor of Science, University of Nairobi (2021). AI-training focus includes data types such as Image and Document and labeling workflows including Segmentation, Object Detection, and Entity (NER) Classification.

Labeling Experience

Data Labeling Specialist (DataAnnotation Solutions)

LabelboxImageSegmentation

Annotated 15,000+ images using bounding box and polygon segmentation for computer vision model training. Maintained a 99.5% labeling accuracy rate through thorough quality checks and strict adherence to detailed annotation guidelines. Classified and processed text documents in parallel to support dataset preparation for downstream ML tasks. • Used Labelbox and CVAT across multiple concurrent projects • Performed label consistency verification and inter-annotator agreement support via QA collaboration • Flagged ambiguous or mislabeled data and provided feedback to improve annotation guidelines • Resolved labeling disputes with the QA team to ensure dataset consistency

2023 - Present

Image Annotation Contractor (Computer Vision AI Company)

OtherImageObject Detection

Annotated 8,000+ images for an autonomous vehicle dataset using precise bounding box and segmentation techniques. Completed projects ahead of schedule while maintaining high accuracy standards and following complex annotation specifications. Conducted quality reviews on peer annotations and provided constructive feedback to improve labeling outcomes. • Labeled pedestrians, vehicles, traffic signs, and road hazards • Applied guideline-driven precision for bounding boxes and segmentation boundaries • Performed peer QA reviews and feedback loops • Supported dataset quality by ensuring compliance with detailed instructions

2023 - 2023

Data Entry & Classification Associate (Digital Content Services Ltd)

OtherDocumentEntity (NER) Classification

Classified and tagged 5,000+ e-commerce product images to support search and recommendation algorithms. Performed data entry and validation with 98.7% accuracy across multiple spreadsheets and systems. Identified and flagged data inconsistencies and errors for correction while maintaining organized documentation and strict data management protocols. • Tagged products into categories for downstream retrieval use cases • Validated labeled records across spreadsheets and systems • Reported inconsistencies to improve overall dataset quality • Maintained structured documentation and adhered to data handling procedures

2022 - 2023

Education

Work History