Tonny Blair

Key Skills

Software

Label Studio

Other

Remotasks

Top Subject Matter

Machine Learning/NLP/LLMs

Large Language Models/NLP

Machine Learning/NLP

Top Data Types

Text

Document

Top Task Types

Classification

Segmentation

Question Answering

Text Summarization

Transcription

Evaluation/Rating

Computer Programming/Coding

Data Collection

Function Calling

Freelancer Overview

Data Annotator / AI Data Specialist (TELUS International). Brings 4+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include Label Studio, Other, and Remotasks. Education includes Bachelor of Laws, Mount Kenya University (2024) and Certificate in Data Protection, Strathmore University (2023). AI-training focus includes data types such as Text and labeling workflows including Classification, Evaluation, and Rating.

Labeling Experience

Data Annotator / AI Data Specialist (TELUS International)

Label StudioTextClassification

As a Data Annotator/AI Data Specialist at TELUS International, I performed high-volume annotation and labeling of text data to support machine learning and LLM improvement projects. I applied detailed guidelines to classify, tag, and correct ambiguous or mislabeled content, while documenting edge cases to enhance consistency. My responsibilities also included running quality checks and escalating unclear instructions to relevant teams. • Supported supervised learning through consistent text classification • Conducted quality control and documented edge-case decisions • Maintained content confidentiality and handled sensitive data • Utilized Label Studio, Datasaur, and Doccano for annotation tasks

As a Data Annotator/AI Data Specialist at TELUS International, I performed high-volume annotation and labeling of text data to support machine learning and LLM improvement projects. I applied detailed guidelines to classify, tag, and correct ambiguous or mislabeled content, while documenting edge cases to enhance consistency. My responsibilities also included running quality checks and escalating unclear instructions to relevant teams. • Supported supervised learning through consistent text classification • Conducted quality control and documented edge-case decisions • Maintained content confidentiality and handled sensitive data • Utilized Label Studio, Datasaur, and Doccano for annotation tasks

2024 - 2025

AI Training Specialist / LLM Rater (Outlier)

OtherText

While working as an AI Training Specialist/LLM Rater at Outlier, I conducted rubric-based scoring and ranking of model responses for helpfulness, accuracy, and alignment with instructions. I wrote structured rationales for each rating and flagged policy risks, hallucinations, or unsupported claims. The role involved extensive comparative evaluation and feedback to improve model behaviors and project outcomes. • Rated and compared AI model outputs using strict guidelines • Identified and flagged quality and safety issues in LLM responses • Provided feedback on recurring error patterns for continuous QA • Used spreadsheets and rubric-based platforms for structured evaluations

While working as an AI Training Specialist/LLM Rater at Outlier, I conducted rubric-based scoring and ranking of model responses for helpfulness, accuracy, and alignment with instructions. I wrote structured rationales for each rating and flagged policy risks, hallucinations, or unsupported claims. The role involved extensive comparative evaluation and feedback to improve model behaviors and project outcomes. • Rated and compared AI model outputs using strict guidelines • Identified and flagged quality and safety issues in LLM responses • Provided feedback on recurring error patterns for continuous QA • Used spreadsheets and rubric-based platforms for structured evaluations

2023 - 2024

AI Training / Data Annotation Contributor (Remotasks)

RemotasksTextClassification

As an AI Training/Data Annotation Contributor at Remotasks, I performed structured annotation of text datasets to support machine learning model development. Tasks involved adhering to accurate labeling standards, maintaining detailed notes, and participating in regular task reviews and corrections. My work helped deliver high-quality labeled data for ML training pipelines. • Conducted annotation and evaluations under strict accuracy requirements • Followed SOP guidelines and produced reliable labels • Participated in team quality reviews to identify and fix errors • Used Remotasks platform for annotation and quality control

As an AI Training/Data Annotation Contributor at Remotasks, I performed structured annotation of text datasets to support machine learning model development. Tasks involved adhering to accurate labeling standards, maintaining detailed notes, and participating in regular task reviews and corrections. My work helped deliver high-quality labeled data for ML training pipelines. • Conducted annotation and evaluations under strict accuracy requirements • Followed SOP guidelines and produced reliable labels • Participated in team quality reviews to identify and fix errors • Used Remotasks platform for annotation and quality control

2022 - 2022

Education

Work History