Phoebe Mbathi

Key Skills

Software

Telus

Mindrift

CloudFactory

Other

Top Subject Matter

AI data workflows

annotation training

Legal Services & Contract Review

Top Data Types

Text

Audio

Image

Document

Top Task Types

Transcription

Classification

Freelancer Overview

Digital Skills Trainer. Core strengths include Other. AI-training focus includes data types such as Text and labeling workflows including Classification.

Labeling Experience

AI Workflow Annotator & Data Quality Specialist

TelusText

Annotated and quality-assured large multilingual training datasets for NLP, LLM, and multimodal AI pipelines. Performed methodical, structured reviews to identify errors, inconsistencies, and missing labels, consistently maintaining high standards. Documented annotation edge cases and collaborated with QA to update labeling guidelines for ongoing projects. • Managed large annotation volumes with systematic frame-by-frame review. • Sustained 95–98% submission accuracy and 98% QA compliance. • Produced detailed edge-case documentation for ambiguous or atypical data points. • Incorporated team feedback to optimize and update project guidelines.

Annotated and quality-assured large multilingual training datasets for NLP, LLM, and multimodal AI pipelines. Performed methodical, structured reviews to identify errors, inconsistencies, and missing labels, consistently maintaining high standards. Documented annotation edge cases and collaborated with QA to update labeling guidelines for ongoing projects. • Managed large annotation volumes with systematic frame-by-frame review. • Sustained 95–98% submission accuracy and 98% QA compliance. • Produced detailed edge-case documentation for ambiguous or atypical data points. • Incorporated team feedback to optimize and update project guidelines.

2024 - Present

AI Training Mentor & Annotation Quality Lead

OtherImageClassification

Mentored and trained over 20 junior AI data contributors in annotation quality, edge-case management, and structured workflow best practices. Developed and led practical calibration sessions, improving cohort annotation accuracy by 35%. Created annotation training materials applicable to complex image quality assurance work. • Led team instruction in annotation standards and edge-case handling. • Composed written guides and best-practice documentation. • Delivered group calibration sessions for accuracy improvement. • Supported skill-building for industrial image annotation tasks.

Mentored and trained over 20 junior AI data contributors in annotation quality, edge-case management, and structured workflow best practices. Developed and led practical calibration sessions, improving cohort annotation accuracy by 35%. Created annotation training materials applicable to complex image quality assurance work. • Led team instruction in annotation standards and edge-case handling. • Composed written guides and best-practice documentation. • Delivered group calibration sessions for accuracy improvement. • Supported skill-building for industrial image annotation tasks.

2023 - Present

Freelance Annotation & Language Data Specialist

OtherTextTranscriptionClassification

Delivered annotation, transcription, and data labeling services as a freelance specialist on diverse client projects. Maintained high labeling standards, tight deadlines, and transparent, auditable annotation documentation. Supported downstream QA processes through detailed decision records and flagged ambiguities. • Worked self-directed in remote environments for various clients. • Provided comprehensive written reports on annotation outcomes. • Ensured quality and compliance in all delivered work. • Developed a reputation for reliability and detail-oriented execution.

Delivered annotation, transcription, and data labeling services as a freelance specialist on diverse client projects. Maintained high labeling standards, tight deadlines, and transparent, auditable annotation documentation. Supported downstream QA processes through detailed decision records and flagged ambiguities. • Worked self-directed in remote environments for various clients. • Provided comprehensive written reports on annotation outcomes. • Ensured quality and compliance in all delivered work. • Developed a reputation for reliability and detail-oriented execution.

2023 - Present

LLM Annotation Specialist & Quality Evaluator

MindriftText

Conducted LLM output evaluation, preference ranking, and multilingual annotation quality assurance. Identified subtle labeling errors, hallucinations, and structural inconsistencies in AI-generated outputs. Produced edge-case documentation to refine contributor guidelines and improve rubric clarity. • Achieved 98% QA compliance in English and Swahili tasks. • Evaluated outputs against strict rubrics to catch errors missed by automation. • Generated 50+ documentation entries per project cycle for ambiguous cases. • Flagged patterns to support rubric and process improvement across teams.

Conducted LLM output evaluation, preference ranking, and multilingual annotation quality assurance. Identified subtle labeling errors, hallucinations, and structural inconsistencies in AI-generated outputs. Produced edge-case documentation to refine contributor guidelines and improve rubric clarity. • Achieved 98% QA compliance in English and Swahili tasks. • Evaluated outputs against strict rubrics to catch errors missed by automation. • Generated 50+ documentation entries per project cycle for ambiguous cases. • Flagged patterns to support rubric and process improvement across teams.

2023 - 2023

Multimodal Data & AI Training Contributor

CloudfactoryAudioTranscription

Annotated multimodal datasets for voice assistant, ASR, and NLP model training projects under structured workflows. Applied speaker labeling, text classification, and frame-level linguistic analysis in quality-controlled environments. Maintained consistency and high accuracy across substantial annotation batch volumes. • Annotated audio and text data for AI training pipelines. • Utilized structured annotation workflows with escalation for ambiguity. • Participated in regular calibration checks to ensure label quality. • Maintained high accuracy and methodical precision over extended periods.

Annotated multimodal datasets for voice assistant, ASR, and NLP model training projects under structured workflows. Applied speaker labeling, text classification, and frame-level linguistic analysis in quality-controlled environments. Maintained consistency and high accuracy across substantial annotation batch volumes. • Annotated audio and text data for AI training pipelines. • Utilized structured annotation workflows with escalation for ambiguity. • Participated in regular calibration checks to ensure label quality. • Maintained high accuracy and methodical precision over extended periods.

2022 - 2022

Education

Work History