Timothy Njeru

Key Skills

Software

Appen

Scale AI

Top Subject Matter

Natural Language Processing (NLP)

Top Data Types

Text

Top Task Types

Entity Ner Classification

Segmentation

Object Detection

Data Collection

Freelancer Overview

AI Training Specialist. Core strengths include Appen and Scale AI. Education includes Bachelor of Science, Multimedia University of Kenya (2024). AI-training focus includes data types such as Text and labeling workflows including Entity (NER) Classification.

Labeling Experience

AI Training Specialist

AppenTextEntity Ner Classification

As an AI Training Specialist at Crowdgen, I was responsible for annotating large text datasets for NLP model development. My primary duties included entity recognition, data validation, and performing quality reviews for AI training datasets. I collaborated closely with global remote teams to meet project milestones and objectives. • Conducted data annotation for natural language processing tasks • Executed quality checks to ensure training data accuracy • Utilized AI training platforms for efficient workflow • Provided detailed feedback for continuous process improvements

As an AI Training Specialist at Crowdgen, I was responsible for annotating large text datasets for NLP model development. My primary duties included entity recognition, data validation, and performing quality reviews for AI training datasets. I collaborated closely with global remote teams to meet project milestones and objectives. • Conducted data annotation for natural language processing tasks • Executed quality checks to ensure training data accuracy • Utilized AI training platforms for efficient workflow • Provided detailed feedback for continuous process improvements

2025 - 2026

Data Annotator

Scale AITextEntity Ner Classification

As a Data Annotator at CAtlas Capture, I contributed to various annotation projects focused on text data for machine learning purposes. My responsibilities included meticulously labeling entities and maintaining consistent annotation guidelines. I supported project team members in achieving high standards in dataset quality. • Labeled entities and attributes in AI training datasets • Participated in annotation guideline refinement • Reviewed dataset samples for completeness and accuracy • Engaged in discussions on annotation best practices

As a Data Annotator at CAtlas Capture, I contributed to various annotation projects focused on text data for machine learning purposes. My responsibilities included meticulously labeling entities and maintaining consistent annotation guidelines. I supported project team members in achieving high standards in dataset quality. • Labeled entities and attributes in AI training datasets • Participated in annotation guideline refinement • Reviewed dataset samples for completeness and accuracy • Engaged in discussions on annotation best practices

2025 - 2025

Education

Work History