Paul Wanjama

Key Skills

Software

Labelbox

iMerit

CVAT

Remotasks

Telus

Roboflow

Top Subject Matter

General AI/NLP

Legal Services & Contract Review

Regulatory Compliance & Risk Analysis

Top Data Types

Image

Text

Video

Top Task Types

Bounding Box

Text Generation

Prompt Response Writing SFT

Data Collection

Fine Tuning

Freelancer Overview

My data annotation and training dataset experience spans over three years now. Currently, I am employed as a Data Annotator and Content Specialist for TELUS International AI, where I analyze and annotate training datasets for their machine learning algorithms. My responsibilities include assessing and annotating text content about context, tone, and intent. As a content specialist, my expertise lies in evaluating the contents of the texts for relevance and clarity while following complex annotation rules with precision. The purpose of such assessments is to help improve the model by identifying patterns. Previously, I worked for Remotask, where I participated in large-scale AI training projects by analyzing and evaluating datasets, transcribing them into more usable formats, and making annotations. One of my main tasks was analyzing structured and unstructured data to assess its relevance and accuracy for AI training. I was highly productive while maintaining top-quality work. My key strengths are a good understanding of natural language, attention to detail, and quick adaptation to changing requirements.

Labeling Experience

Data Annotator / Content Specialist

TelusTextClassification

In this role, I analyzed and annotated text and visual datasets for machine learning model training focused on context, tone, and intent. I evaluated content to ensure clarity, relevance, and accurate alignment with user intent. I applied complex annotation guidelines and refined datasets for enhanced AI understanding. • Performed high-volume annotation with strict quality assurance. • Improved dataset usability for AI training. • Ensured logical consistency and context in annotations. • Used annotation and review processes tailored for diverse data types.

In this role, I analyzed and annotated text and visual datasets for machine learning model training focused on context, tone, and intent. I evaluated content to ensure clarity, relevance, and accurate alignment with user intent. I applied complex annotation guidelines and refined datasets for enhanced AI understanding. • Performed high-volume annotation with strict quality assurance. • Improved dataset usability for AI training. • Ensured logical consistency and context in annotations. • Used annotation and review processes tailored for diverse data types.

2024 - Present

Data Collection & Annotation Specialist

RemotasksTextClassification

As a Data Collection & Annotation Specialist, I performed large-scale data labeling, transcription, and content evaluation for multiple AI projects. I assessed structured and semi-structured text data for relevance and accuracy, supporting various AI models. I interpreted data using fast-paced, guideline-driven processes to maintain quality and productivity benchmarks. • Reviewed search results and social media content for AI training. • Adapted to evolving annotation standards and project requirements. • Supported AI model evaluation with accurate data labeling. • Worked on multiple high-volume data annotation tasks.

As a Data Collection & Annotation Specialist, I performed large-scale data labeling, transcription, and content evaluation for multiple AI projects. I assessed structured and semi-structured text data for relevance and accuracy, supporting various AI models. I interpreted data using fast-paced, guideline-driven processes to maintain quality and productivity benchmarks. • Reviewed search results and social media content for AI training. • Adapted to evolving annotation standards and project requirements. • Supported AI model evaluation with accurate data labeling. • Worked on multiple high-volume data annotation tasks.

2022 - 2023

Education

Work History