Kabila Ngimba

Key Skills

Software

Appen

Clickworker

CloudFactory

iMerit

Labelbox

Mercor

OneForma

Sama

Scale AI

SuperAnnotate

Telus

Data Annotation Tech

Top Subject Matter

No subject matter listed

Top Data Types

Image

Text

Video

Top Task Types

Audio Recording

Object Detection

Prompt + Response Writing (SFT)

Text Generation

Translation/Localization

Freelancer Overview

I am an experienced AI training and data labeling specialist with a strong background in computer science, language processing, and visual data annotation. Over the years, I have contributed to projects involving image, video, text, and audio data preparation for machine learning models. My expertise covers data classification, transcription, translation, and model evaluation, ensuring high-quality datasets that improve AI performance. I am skilled in tools and workflows used for large-scale labeling, model fine-tuning, and human-in-the-loop systems. With a focus on accuracy, consistency, and confidentiality, I bring both technical understanding and linguistic precision to every project. My goal is to support the development of intelligent systems that understand human language, vision, and context more effectively.

Labeling Experience

LLM Prompt Evaluation and Response Rating for AI Text Models

Data Annotation TechTextClassificationQuestion Answering

Contributed to evaluating and improving large language model outputs by rating AI-generated text responses based on accuracy, relevance, and contextual understanding. Tasks included classifying answers, providing qualitative feedback, and annotating prompt-response pairs for supervised fine-tuning. Ensured consistency by following strict guidelines and reviewing outputs against benchmark standards. The project supported enhanced model performance in natural language understanding, question answering, and content generation applications.

Contributed to evaluating and improving large language model outputs by rating AI-generated text responses based on accuracy, relevance, and contextual understanding. Tasks included classifying answers, providing qualitative feedback, and annotating prompt-response pairs for supervised fine-tuning. Ensured consistency by following strict guidelines and reviewing outputs against benchmark standards. The project supported enhanced model performance in natural language understanding, question answering, and content generation applications.

2024

Image and Object Detection Labeling for Computer Vision Models

LabelboxImageBounding BoxSegmentation

Participated in a computer vision dataset labeling project focused on identifying, classifying, and segmenting multiple object types within images and videos. Tasks involved drawing precise bounding boxes and segmentation masks around items such as vehicles, people, plants, and retail products. Followed detailed labeling guidelines to ensure accuracy and consistency across thousands of samples. Conducted quality checks and revisions to meet project performance benchmarks exceeding 97% annotation precision. The labeled data was later used to train object detection and classification models for autonomous visual recognition systems.

Participated in a computer vision dataset labeling project focused on identifying, classifying, and segmenting multiple object types within images and videos. Tasks involved drawing precise bounding boxes and segmentation masks around items such as vehicles, people, plants, and retail products. Followed detailed labeling guidelines to ensure accuracy and consistency across thousands of samples. Conducted quality checks and revisions to meet project performance benchmarks exceeding 97% annotation precision. The labeled data was later used to train object detection and classification models for autonomous visual recognition systems.

2023

Multilingual Speech and Text Annotation for AI Voice Recognition

LabelboxAudioClassificationTranslation Localization

Worked on a large-scale multilingual data labeling project aimed at training and improving AI-based speech recognition and translation systems. Tasks included transcribing English and Swahili audio files, translating text segments, and classifying speech intents. Conducted quality assurance through peer reviews and adherence to strict accuracy standards above 98%. The project enhanced model accuracy and fluency in bilingual speech-to-text applications while maintaining linguistic consistency and data integrity across datasets.

Worked on a large-scale multilingual data labeling project aimed at training and improving AI-based speech recognition and translation systems. Tasks included transcribing English and Swahili audio files, translating text segments, and classifying speech intents. Conducted quality assurance through peer reviews and adherence to strict accuracy standards above 98%. The project enhanced model accuracy and fluency in bilingual speech-to-text applications while maintaining linguistic consistency and data integrity across datasets.

2023

Education

Work History