Gideon T.

Key Skills

Software

Appen

Data Annotation Tech

Clickworker

Top Subject Matter

Natural language processing (NLP) and linguistic/contextual dataset labeling

NLP sentiment analysis and AI safety content moderation

Video understanding annotation and multimodal dataset QA

Top Data Types

Text

Video

Image

Document

Top Task Types

Classification

Emotion Recognition

Action Recognition

Freelancer Overview

Data Annotator — Atlas Capture (Remote). Brings 4+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Atlas Capture and Handshake. Education includes Bachelor of Education, Kenyatta University (2025) and Secondary School Qualification (KCSE) and Primary School Qualification (KCPE), Kenya National Examinations Council (2020). AI-training focus includes data types such as Text and Video and labeling workflows including Classification, Emotion Recognition, and Action Recognition.

Labeling Experience

Data Annotator — Atlas Capture (Remote)

TextClassification

Annotated and labeled complex datasets to support machine learning model training, with reported 95%+ accuracy on linguistic and contextual analysis tasks. Validated AI training data quality for NLP projects to improve model performance and reliability. Collaborated with data science teams to refine annotation guidelines and address complex edge-case scenarios. • Labeled dataset records for NLP linguistic/contextual tasks • Ensured 95%+ accuracy for annotation consistency • Processed 50+ data units per hour while meeting deadlines • Supported QA via dataset validation and guideline refinement

2024 - Present

Data Annotation Certification Training — Atlas Capture

VideoAction Recognition

Completed data labeling certification training on Atlas Capture covering multiple annotation methodologies. Practiced labeling for action-to-text workflows, and performed tasks aligned with image/video understanding concepts. Followed QA protocols intended to ensure dataset validity and label consistency. • Image classification, object detection, text categorization, and semantic segmentation • Action-to-text labeling for video content • QA protocols and data validation practices • Reported high-volume annotation throughput during training

2024 - 2024

Data Annotation Certification Training — Handshake

TextEmotion Recognition

Completed crowdsourced annotation training on Handshake, including micro-task execution for AI-related dataset preparation. Focused on NLP data preparation and sentiment analysis labeling for model readiness and moderation-oriented workflows. Applied content moderation concepts intended to support AI safety and consistent labeling output. • NLP data preparation for annotation workflows • Sentiment analysis labeling tasks • Content moderation labeling for AI safety • Crowdsourced micro-task execution training

2024 - 2024

Education

Work History