Daniel Kimani

Key Skills

Software

Label Studio

Other

Top Subject Matter

Natural Language Processing (NLP) and AI Training

Speech Recognition and AI Training

Computer Vision for AI Model Development

Top Data Types

Text

Audio

Image

Top Task Types

Entity Ner Classification

Transcription

Classification

Freelancer Overview

AI Data Annotation & Data Collection Specialist. Core strengths include Label Studio and Other. Education includes High School Certificate, N/A (2020). AI-training focus includes data types such as Text, Audio, and Image and labeling workflows including Entity (NER) Classification, Transcription, and Classification.

Labeling Experience

AI Data Annotation & Data Collection Specialist

Label StudioImageClassification

I labeled and annotated image datasets used for AI training, adhering to precise annotation guidelines. Image classification tasks were performed to enable computer vision models for various applications. I ensured each dataset met quality assurance and data consistency standards. • Labeled and classified objects or regions within images. • Utilized data annotation tools for systematic image tagging. • Conducted quality control and validation on labeled images. • Delivered timely image annotation tasks for remote AI projects.

I labeled and annotated image datasets used for AI training, adhering to precise annotation guidelines. Image classification tasks were performed to enable computer vision models for various applications. I ensured each dataset met quality assurance and data consistency standards. • Labeled and classified objects or regions within images. • Utilized data annotation tools for systematic image tagging. • Conducted quality control and validation on labeled images. • Delivered timely image annotation tasks for remote AI projects.

2023 - Present

AI Data Annotation & Data Collection Specialist

OtherAudioTranscription

I performed accurate transcription of speech and audio recordings to create training data for AI speech recognition models. I maintained a high standard of transcription accuracy to ensure dataset quality. My work supported multilingual and high-volume audio transcription projects for machine learning development. • Transcribed speech data from English and Swahili audio sources. • Ensured high accuracy and consistency in transcriptions. • Organized transcribed files for inclusion in training datasets. • Validated and reviewed transcription output for quality assurance.

I performed accurate transcription of speech and audio recordings to create training data for AI speech recognition models. I maintained a high standard of transcription accuracy to ensure dataset quality. My work supported multilingual and high-volume audio transcription projects for machine learning development. • Transcribed speech data from English and Swahili audio sources. • Ensured high accuracy and consistency in transcriptions. • Organized transcribed files for inclusion in training datasets. • Validated and reviewed transcription output for quality assurance.

2023 - Present

AI Data Annotation & Data Collection Specialist

Label StudioTextEntity Ner Classification

As an AI Data Annotation & Data Collection Specialist, I labeled and annotated text datasets for AI model training projects. I ensured accuracy and consistency in the annotation process by following project-specific guidelines. My work contributed to the development of high-quality language datasets for natural language processing applications. • Labeled and classified entities in large-scale text corpora. • Adhered to detailed annotation guidelines and performed quality checks. • Supported multilingual dataset creation with translation tasks. • Delivered annotated datasets on deadline in remote environments.

As an AI Data Annotation & Data Collection Specialist, I labeled and annotated text datasets for AI model training projects. I ensured accuracy and consistency in the annotation process by following project-specific guidelines. My work contributed to the development of high-quality language datasets for natural language processing applications. • Labeled and classified entities in large-scale text corpora. • Adhered to detailed annotation guidelines and performed quality checks. • Supported multilingual dataset creation with translation tasks. • Delivered annotated datasets on deadline in remote environments.

2023 - Present

Education

Work History