Paul G.

Key Skills

Software

Other

AWS SageMaker

Appen

Clickworker

CVAT

Labelbox

Remotasks

Scale AI

Top Subject Matter

AI data labeling and quality assurance for operational/analytical reporting

Multilingual NLP and multimodal AI training dataset labeling (Swahili-English)

Top Data Types

Image

Text

Video

Top Task Types

Segmentation

Object Detection

Question Answering

Evaluation/Rating

Data Collection

Prompt + Response Writing (SFT)

Transcription

Classification

Freelancer Overview

Data Specialist at Governors' Balloon Safaris (Data annotation, evaluation, QA). Brings 7+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal, Proprietary Tooling, and Other. Education includes Bachelor of Science, University of Nairobi (2017). AI-training focus includes data types such as Image and Text and labeling workflows including Evaluation, Rating, and Translation.

Labeling Experience

Freelance AI Data Analyst (Upwork & Fiverr)

OtherText

Delivered AI training data labeling and evaluation work for international clients across NLP, computer vision, and audio domains. Performed Swahili–English bilingual tasks including translation review, text classification, and content moderation for AI training datasets. Executed pairwise ranking and preference labeling to support RLHF pipelines and related model improvement efforts. • Translation review and localization for bilingual text datasets. • Text classification and content moderation labeling. • Pairwise ranking and preference labels for RLHF-style training. • Delivered object tagging/labeling across image, video, and audio content.

2024 - Present

Data Specialist at Governors' Balloon Safaris (Data annotation, evaluation, QA)

Image

Performed systematic data evaluation and quality assurance checks to maintain high accuracy for annotation-ready datasets. Annotated and labeled multiple content types to support internal data systems and downstream AI/ML workflows. Developed and maintained data pipelines in Python and SQL to improve annotation and validation throughput. • QA/validation to maintain accuracy rates above 98%. • Assisted with annotation guideline documentation and SOPs. • Ensured dataset consistency using evaluation procedures. • Supported team onboarding with written documentation.

2020 - 2024

Education

Work History