Ifedimma Kingsley

Key Skills

Software

Other

Telus

Top Subject Matter

Search relevance

text classification

AI model fine-tuning

Top Data Types

Text

Audio

Image

Document

Top Task Types

Classification

Transcription

Bounding Box

Freelancer Overview

Data Annotator (Text & Search Evaluation) - Atlas Capture. Brings 7+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include Internal, Proprietary Tooling, and Other. Education includes Bachelor of Engineering, Nnamdi Azikwe University, Awka (2024). AI-training focus includes data types such as Text, Audio, and Image and labeling workflows including Classification, Transcription, and Evaluation.

Labeling Experience

Data Annotator (Text & Search Evaluation) - Atlas Capture

TextClassification

As a Data Annotator for text and search evaluation, I performed classification, relevance judgments, and detailed data annotation on large text datasets for AI training. My work focused on accurately interpreting and applying complex task guidelines to ensure high-quality outputs for search intent assessment. I analyzed and evaluated text relevance, consistency, and user intent contribution to improve overall model performance. • Applied structured classification and relevance metrics for text data. • Interpreted user intent for search queries and annotated results accordingly. • Maintained accuracy standards on large volumes of annotation tasks. • Ensured annotation consistency and quality throughout all project assignments.

As a Data Annotator for text and search evaluation, I performed classification, relevance judgments, and detailed data annotation on large text datasets for AI training. My work focused on accurately interpreting and applying complex task guidelines to ensure high-quality outputs for search intent assessment. I analyzed and evaluated text relevance, consistency, and user intent contribution to improve overall model performance. • Applied structured classification and relevance metrics for text data. • Interpreted user intent for search queries and annotated results accordingly. • Maintained accuracy standards on large volumes of annotation tasks. • Ensured annotation consistency and quality throughout all project assignments.

2025 - Present

Audio Transcriptionist - Polly (Siri) - Apple Contractor

OtherAudioTranscription

As an Audio Transcriptionist for Siri at Polly (Apple Contractor), I transcribed and annotated voice assistant audio samples to improve speech recognition and AI understanding. The role required strict adherence to linguistic guidelines and the accurate conversion of diverse voice data into structured textual form. I supported Siri’s model enhancement by providing detailed annotations for nuanced speech phenomena. • Transcribed varied audio samples for AI model improvement. • Applied linguistic standards and corrected transcripts for accuracy. • Reviewed and ensured consistency in large-scale audio datasets. • Contributed to the advancement of AI voice assistant capabilities.

As an Audio Transcriptionist for Siri at Polly (Apple Contractor), I transcribed and annotated voice assistant audio samples to improve speech recognition and AI understanding. The role required strict adherence to linguistic guidelines and the accurate conversion of diverse voice data into structured textual form. I supported Siri’s model enhancement by providing detailed annotations for nuanced speech phenomena. • Transcribed varied audio samples for AI model improvement. • Applied linguistic standards and corrected transcripts for accuracy. • Reviewed and ensured consistency in large-scale audio datasets. • Contributed to the advancement of AI voice assistant capabilities.

2025 - 2025

Digital Data Reviewer - Outlier

OtherText

As a Digital Data Reviewer, I assessed structured and unstructured AI model outputs for quality, correctness, and behavioral integrity. I evaluated AI-generated text responses using multi-faceted scoring rubrics to ensure alignment with user prompts and quality benchmarks. The work directly supported quality assurance pipelines in AI and machine learning development. • Reviewed and rated AI model outputs for accuracy and relevance. • Applied evaluation metrics to a variety of data types and formats. • Ensured consistency and reliability in task delivery and reporting. • Supported machine learning model improvement through targeted feedback.

As a Digital Data Reviewer, I assessed structured and unstructured AI model outputs for quality, correctness, and behavioral integrity. I evaluated AI-generated text responses using multi-faceted scoring rubrics to ensure alignment with user prompts and quality benchmarks. The work directly supported quality assurance pipelines in AI and machine learning development. • Reviewed and rated AI model outputs for accuracy and relevance. • Applied evaluation metrics to a variety of data types and formats. • Ensured consistency and reliability in task delivery and reporting. • Supported machine learning model improvement through targeted feedback.

2024 - 2025

AI Data Evaluator - Remote Contract - Telus International

TelusText

I served as an AI Data Evaluator reviewing AI-generated content such as search results and system responses for relevance, intent alignment, and usefulness. My responsibilities included multi-metric classification and scoring of text-based AI outputs to identify issues and drive model enhancements. Quality and consistency were maintained across extensive repetitive labeling and evaluation tasks. • Evaluated AI responses and search content using established metrics. • Identified low-quality outputs and intent mismatches for correction. • Supported continuous improvement of AI models via labeling feedback. • Maintained high accuracy for large, quality-sensitive evaluation volumes.

I served as an AI Data Evaluator reviewing AI-generated content such as search results and system responses for relevance, intent alignment, and usefulness. My responsibilities included multi-metric classification and scoring of text-based AI outputs to identify issues and drive model enhancements. Quality and consistency were maintained across extensive repetitive labeling and evaluation tasks. • Evaluated AI responses and search content using established metrics. • Identified low-quality outputs and intent mismatches for correction. • Supported continuous improvement of AI models via labeling feedback. • Maintained high accuracy for large, quality-sensitive evaluation volumes.

2021 - 2023

Image Annotator - RWS

OtherImageBounding Box

As an Image Annotator for RWS, I labeled image datasets using bounding boxes, tags, and attributes to support computer vision training. The role demanded meticulous object identification, scene classification, and adherence to detailed visual annotation protocols. My work enhanced dataset reliability and computer vision model performance. • Drew bounding boxes and tagged objects in image data. • Classified scenes and features per guideline specifics. • Maintained annotation quality across large-scale image volumes. • Reviewed and corrected errors to optimize dataset utility.

As an Image Annotator for RWS, I labeled image datasets using bounding boxes, tags, and attributes to support computer vision training. The role demanded meticulous object identification, scene classification, and adherence to detailed visual annotation protocols. My work enhanced dataset reliability and computer vision model performance. • Drew bounding boxes and tagged objects in image data. • Classified scenes and features per guideline specifics. • Maintained annotation quality across large-scale image volumes. • Reviewed and corrected errors to optimize dataset utility.

2020 - 2020

Education

Work History