David Kabundi

Key Skills

Software

CVAT

Mercor

Roboflow

Other

Data Annotation Tech

Labelbox

Lionbridge

Micro1

Mindrift

OneForma

OpenCV AI Kit (OAK)

Internal/Proprietary Tooling

Supervisely

Scale AI

Toloka

Top Subject Matter

Object Detection

Computer Vision

Image Classification

Top Data Types

Audio

Computer Code Programming

Image

Text

Video

Document

Top Task Types

Classification

Computer Programming/Coding

Entity (NER) Classification

Evaluation/Rating

Object Detection

Question Answering

Red Teaming

Data Collection

Audio Recording

Action Recognition

Bounding Box

Tracking

Freelancer Overview

Image Annotation Specialist. Brings 7+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include CVAT, Scale AI, and Toloka. AI-training focus includes data types such as Image and Text and labeling workflows including Bounding Box, Classification, and Entity (NER) Classification.

Labeling Experience

Computer Vision Image Annotation Specialist

RoboflowImageBounding BoxPolygon

Perform detailed image annotation for PPE computer vision model training using Roboflow, including bounding box, polygon, and segmentation labeling for object detection and classification tasks. Ensure pixel-level accuracy, consistent application of labeling guidelines, and high-quality dataset preparation across varied PPE scenarios. Conduct evaluation and QA checks to verify annotation consistency, resolve ambiguous edge cases, and maintain dataset integrity. Contribute to model improvement by delivering clean, structured, and production-ready image datasets.

Perform detailed image annotation for PPE computer vision model training using Roboflow, including bounding box, polygon, and segmentation labeling for object detection and classification tasks. Ensure pixel-level accuracy, consistent application of labeling guidelines, and high-quality dataset preparation across varied PPE scenarios. Conduct evaluation and QA checks to verify annotation consistency, resolve ambiguous edge cases, and maintain dataset integrity. Contribute to model improvement by delivering clean, structured, and production-ready image datasets.

2025 - Present

AI Data Verification & NLP Annotation Specialist

MercorTextEntity Ner ClassificationClassification

Performed advanced text prompt annotation and rubric-based evaluation for AI model training at Mercor. Labeled and classified text according to structured rubrics, assessed intents, and evaluated model outputs for correctness, coherence, and adherence to instruction guidelines. Applied judgment to resolve ambiguous cases, verify alignment with evaluation criteria, and ensure consistent interpretation across tasks. Executed QA reviews to maintain data quality standards and contributed to high-integrity datasets used for LLM training and refinement.

Performed advanced text prompt annotation and rubric-based evaluation for AI model training at Mercor. Labeled and classified text according to structured rubrics, assessed intents, and evaluated model outputs for correctness, coherence, and adherence to instruction guidelines. Applied judgment to resolve ambiguous cases, verify alignment with evaluation criteria, and ensure consistent interpretation across tasks. Executed QA reviews to maintain data quality standards and contributed to high-integrity datasets used for LLM training and refinement.

2025 - Present

API Integration & Data Workflow Structuring

TextComputer Programming Coding

Designed and implemented API-driven data workflows for structured data ingestion, processing, and validation using Python. Built REST-style endpoints to handle JSON payloads, ensuring consistent data exchange between systems. Managed request/response cycles, validated input data against defined schemas, and structured outputs for downstream applications. Developed API endpoints for data ingestion and transformation Processed and validated JSON payloads to ensure schema consistency Implemented HTTP methods (GET, POST) for structured data operations Designed workflows for reliable data transfer between systems Ensured clean, reproducible outputs for integration with downstream pipelines

Designed and implemented API-driven data workflows for structured data ingestion, processing, and validation using Python. Built REST-style endpoints to handle JSON payloads, ensuring consistent data exchange between systems. Managed request/response cycles, validated input data against defined schemas, and structured outputs for downstream applications. Developed API endpoints for data ingestion and transformation Processed and validated JSON payloads to ensure schema consistency Implemented HTTP methods (GET, POST) for structured data operations Designed workflows for reliable data transfer between systems Ensured clean, reproducible outputs for integration with downstream pipelines

2024 - Present

Advanced Video Annotation Specialist (Sports Analytics)

OtherVideoSegmentationClassification

Annotated full-length NBA games for high-precision action recognition and temporal segmentation. Identified and timestamped specific player movements such as backsteps, jumps, impacts, and defensive transitions using frame-accurate review of game footage. Performed player tracking, event classification, and movement analysis to support computer vision model training. Maintained strict timing alignment with in-game clocks and delivered consistent, high-quality annotations under tight turnaround times.

Annotated full-length NBA games for high-precision action recognition and temporal segmentation. Identified and timestamped specific player movements such as backsteps, jumps, impacts, and defensive transitions using frame-accurate review of game footage. Performed player tracking, event classification, and movement analysis to support computer vision model training. Maintained strict timing alignment with in-game clocks and delivered consistent, high-quality annotations under tight turnaround times.

2024 - Present

Multimodal Computer Vision Annotator

Scale AIImageBounding BoxClassification

Executed high-precision image annotation for large-scale machine learning datasets using bounding boxes, polygons, segmentation masks, and object detection workflows. Ensured spatial accuracy and consistent label interpretation across high-volume datasets by strictly following annotation guidelines and schema requirements. Performed evaluation and rating tasks to identify labeling errors, resolve inconsistencies, and maintain high dataset integrity for computer vision model training and benchmarking.

Executed high-precision image annotation for large-scale machine learning datasets using bounding boxes, polygons, segmentation masks, and object detection workflows. Ensured spatial accuracy and consistent label interpretation across high-volume datasets by strictly following annotation guidelines and schema requirements. Performed evaluation and rating tasks to identify labeling errors, resolve inconsistencies, and maintain high dataset integrity for computer vision model training and benchmarking.

2023 - 2024

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Education

Work History