John K.

Key Skills

Software

LabelImg

CVAT

Remotasks

Appen

Clickworker

iMerit

Top Subject Matter

Image classification for computer vision

Text annotation for NLP (sentiment analysis, NER)

Audio labeling for AI training

Top Data Types

Image

Text

Audio

Top Task Types

Classification

Entity (NER) Classification

Question Answering

Prompt + Response Writing (SFT)

Freelancer Overview

Data Annotator – Image Classification. Core strengths include LabelImg, CVAT, and Remotasks. Education includes Bachelor of Education, Murang’a University of Technology (2024). AI-training focus includes data types such as Image, Text, and Audio and labeling workflows including Classification and Entity (NER) Classification.

Labeling Experience

Data Annotator – Audio

RemotasksAudioClassification

Annotated and labeled audio datasets for various AI model training objectives. Ensured each audio segment was accurately tagged according to predefined criteria. Maintained thoroughness and consistency in labeling over a large volume of data. • Applied annotation tools on remote data collection platforms like Remotasks and Appen. • Categorized audio files based on task requirements and guidelines. • Validated labeled audio clips for integrity and correctness. • Supported iterative improvement of datasets through quality assurance reviews.

2019 - Present

Data Annotator – Text (NLP)

RemotasksTextEntity (NER) Classification

Annotated textual data for natural language processing tasks such as sentiment analysis and entity recognition. Improved the dataset quality to enhance AI model performance in text understanding. Ensured labeling consistency and accuracy throughout all project phases. • Used annotation platforms including Remotasks and Appen for NLP data tasks. • Followed specific project instructions and labeling guidelines for NER. • Performed dataset validation and cross-verification with team members. • Managed multiple text annotation projects under tight deadlines.

2019 - Present

Data Annotator – Image Classification

LabelImgImageClassification

Labeled and categorized image datasets to train AI models for computer vision applications. Maintained high accuracy and consistency standards across all annotation tasks. Followed strict guidelines and protocols to ensure data quality and reliability. • Used annotation tools like LabelImg and CVAT for labeling and dataset preparation. • Validated annotated images for accuracy and completeness before submission. • Collaborated remotely with project teams to meet deadlines. • Managed large-scale image datasets and implemented clear categorization.

2019 - Present

Education

Work History