Emmanuel Chinonye

Key Skills

Software

Scale AI

Label Studio

Remotasks

Telus

Labelbox

Top Subject Matter

Scientific and Industrial Data

Data Science & Technical Problem Solving

Medical and Healthcare Data

Top Data Types

Image

Text

Audio

Video

Top Task Types

Classification

Prompt + Response Writing (SFT)

Transcription

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Freelancer Overview

Senior Software Engineer — Data Annotation. Brings 9+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Scale AI, Internal, and Proprietary Tooling. Education includes Bachelor of Science, University of Hertfordshire (2019) and Certificate, University of Wolverhampton (2022). AI-training focus includes data types such as Image, Text, and Audio and labeling workflows including Classification, Evaluation, and Rating.

Labeling Experience

Senior Software Engineer — Data Annotation

Scale AIImageClassification

As a Senior Software Engineer specializing in Data Annotation, I performed high-accuracy annotation and QA on large-scale datasets. My work involved reviewing and correcting auto-annotated outputs and evaluating model outputs for correctness in scientific and industrial domains. I designed model evaluation scenarios and validated multi-step outputs for logical consistency. • Reviewed and corrected auto-annotations for missing labels and errors • Designed evaluation tasks to assess model reasoning and accuracy • Validated LLM outputs to identify hallucinations and misalignments • Ensured data quality and consistency through structured validation

As a Senior Software Engineer specializing in Data Annotation, I performed high-accuracy annotation and QA on large-scale datasets. My work involved reviewing and correcting auto-annotated outputs and evaluating model outputs for correctness in scientific and industrial domains. I designed model evaluation scenarios and validated multi-step outputs for logical consistency. • Reviewed and corrected auto-annotations for missing labels and errors • Designed evaluation tasks to assess model reasoning and accuracy • Validated LLM outputs to identify hallucinations and misalignments • Ensured data quality and consistency through structured validation

2022 - 2025

Speech & Text Data Annotator — Multiple Platforms

TelusAudioTranscription

As a Speech & Text Data Annotator for multiple platforms, I worked on annotating text and speech datasets. I conducted tasks such as NER, sentiment, intent labeling, and ASR QA for quality speech transcription. My efforts included speaker diarization and categorizing model errors for further improvements. • Performed NER, sentiment, and intent labeling • Conducted ASR quality assessment and validation • Executed speaker diarization for audio data • Categorized output errors for model refinement

As a Speech & Text Data Annotator for multiple platforms, I worked on annotating text and speech datasets. I conducted tasks such as NER, sentiment, intent labeling, and ASR QA for quality speech transcription. My efforts included speaker diarization and categorizing model errors for further improvements. • Performed NER, sentiment, and intent labeling • Conducted ASR quality assessment and validation • Executed speaker diarization for audio data • Categorized output errors for model refinement

2020 - 2023

AI Trainer & Data Labeler — Remotasks & DataAnnotation.tech

RemotasksTextPrompt Response Writing SFT

As an AI Trainer & Data Labeler at Remotasks & DataAnnotation.tech, I created structured datasets and SFT prompt-response pairs for LLM training. I performed annotation QA and flagged ambiguous or low-quality data for review. I designed and validated reproducible data annotation tasks using Python. • Generated prompt-response pairs for LLM fine-tuning • Performed thorough annotation QA on structured data • Flagged and refined ambiguous or unclear data points • Applied automated validation techniques to labeling tasks

As an AI Trainer & Data Labeler at Remotasks & DataAnnotation.tech, I created structured datasets and SFT prompt-response pairs for LLM training. I performed annotation QA and flagged ambiguous or low-quality data for review. I designed and validated reproducible data annotation tasks using Python. • Generated prompt-response pairs for LLM fine-tuning • Performed thorough annotation QA on structured data • Flagged and refined ambiguous or unclear data points • Applied automated validation techniques to labeling tasks

2021 - 2022

SYSTEM ADMINISTRATOR — Fred’s Ranch & Resort

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As a System Administrator at Fred’s Ranch & Resort, I evaluated AI-generated responses for data science and programming tasks. I conducted structured scoring and preference ranking using robust evaluation frameworks. I identified recurring model issues and delivered actionable quality feedback. • Designed reproducible AI evaluation tasks • Performed systematic preference ranking and QA • Applied statistical methods to validate annotation outcomes • Provided detailed feedback for model improvement

As a System Administrator at Fred’s Ranch & Resort, I evaluated AI-generated responses for data science and programming tasks. I conducted structured scoring and preference ranking using robust evaluation frameworks. I identified recurring model issues and delivered actionable quality feedback. • Designed reproducible AI evaluation tasks • Performed systematic preference ranking and QA • Applied statistical methods to validate annotation outcomes • Provided detailed feedback for model improvement

2021 - 2022

3D Video & Image Annotation Specialist — Labelbox

LabelboxVideoBounding Box

As a 3D Video & Image Annotation Specialist with Labelbox, I annotated image and video datasets using bounding boxes and segmentation tools. I performed meticulous frame-by-frame QA to ensure labeling consistency and accuracy in computer vision workflows. My contributions supported advanced object detection and related visual AI projects. • Created image/video annotations with bounding boxes and segmentation • Conducted thorough QA inspections on labeled data • Ensured consistency across video frames in annotation sets • Supported object detection and computer vision development

As a 3D Video & Image Annotation Specialist with Labelbox, I annotated image and video datasets using bounding boxes and segmentation tools. I performed meticulous frame-by-frame QA to ensure labeling consistency and accuracy in computer vision workflows. My contributions supported advanced object detection and related visual AI projects. • Created image/video annotations with bounding boxes and segmentation • Conducted thorough QA inspections on labeled data • Ensured consistency across video frames in annotation sets • Supported object detection and computer vision development

2020 - 2022

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Education

Work History