Destiny Amahaotu

Key Skills

Software

Appen

Remotasks

Other

CVAT

Lionbridge

Mercor

Mindrift

Telus

Toloka

Micro1

Top Subject Matter

Text Domain Expertise

Image Domain Expertise

Video for ML/AI Model Training across Various Industries

Top Data Types

Text

Image

Audio

Video

Top Label Types

Classification

Object Detection

Entity Ner Classification

Segmentation

Transcription

Freelancer Overview

Freelance Data Annotator. Brings 5+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Appen, Remotasks, and DataForce. Education includes Bachelor of Engineering, Federal University of Technology Owerri (2025). AI-training focus includes data types such as Text, Image, and Audio and labeling workflows including Classification, Object Detection, and Entity (NER) Classification.

Labeling Experience

Data Annotator

TextEntity Ner Classification

Contributed to large multilingual annotation projects requiring high precision in text classification, entity tagging, and relevance rating. Worked on comprehensive data validation and collection workflows to ensure quality. Interacted with QA processes to refine and enhance annotation accuracy for diverse language corpora. • High linguistic accuracy achieved on large-scale projects • Performed entity tagging, text classification, and relevance ratings • Ensured compliance with client requirements • Collaborated remotely in distributed teams

Contributed to large multilingual annotation projects requiring high precision in text classification, entity tagging, and relevance rating. Worked on comprehensive data validation and collection workflows to ensure quality. Interacted with QA processes to refine and enhance annotation accuracy for diverse language corpora. • High linguistic accuracy achieved on large-scale projects • Performed entity tagging, text classification, and relevance ratings • Ensured compliance with client requirements • Collaborated remotely in distributed teams

2023 - Present

Data Annotator & AI Trainer

RemotasksImageObject Detection

Completed thousands of annotation tasks including object detection, image segmentation, bounding box labeling, and key-point annotation for computer vision models. Conducted speech-to-text transcription and annotation of audio datasets by labeling tone, intent, and speaker attributes. Performed NLP tasks such as Named Entity Recognition, sentiment analysis, and intent classification for high-quality AI training data. • Adapted to evolving annotation guidelines quickly • Participated in diverse annotation workflows: image, audio, text • Ensured consistent accuracy and met strict deadlines • Validated and assessed annotation outputs for quality

Completed thousands of annotation tasks including object detection, image segmentation, bounding box labeling, and key-point annotation for computer vision models. Conducted speech-to-text transcription and annotation of audio datasets by labeling tone, intent, and speaker attributes. Performed NLP tasks such as Named Entity Recognition, sentiment analysis, and intent classification for high-quality AI training data. • Adapted to evolving annotation guidelines quickly • Participated in diverse annotation workflows: image, audio, text • Ensured consistent accuracy and met strict deadlines • Validated and assessed annotation outputs for quality

2023 - Present

Freelance Data Annotator

AppenTextClassification

Labeled and categorized large-scale text, image, and video datasets for machine learning and AI model training across diverse industries. Ensured data accuracy and integrity through the application of detailed annotation guidelines and quality standards. Improved overall model precision by reviewing, correcting, and quality-assuring peer annotations in a high-volume environment. • Used platforms including Appen and Labelbox for text, image, and video labeling • Collaborated on annotation guideline clarifications globally • Maintained high contributor ratings via rigorous task completion • Managed autonomous project requirements in a remote setting

Labeled and categorized large-scale text, image, and video datasets for machine learning and AI model training across diverse industries. Ensured data accuracy and integrity through the application of detailed annotation guidelines and quality standards. Improved overall model precision by reviewing, correcting, and quality-assuring peer annotations in a high-volume environment. • Used platforms including Appen and Labelbox for text, image, and video labeling • Collaborated on annotation guideline clarifications globally • Maintained high contributor ratings via rigorous task completion • Managed autonomous project requirements in a remote setting

2023 - Present

Multi-Modal Content Evaluator

OtherAudio

Executed precision evaluation and annotation of audio and text content for AI training purposes, following detailed guidelines. Contributed to the development of conversational AI systems by ensuring dialogue quality and authentic language use. Adapted annotation methodologies to rapidly changing project requirements. • Focused on multi-modal text and audio evaluation • Supported dialogue system development • Contributed to consistent annotation quality • Adapted quickly to evolving annotation needs

Executed precision evaluation and annotation of audio and text content for AI training purposes, following detailed guidelines. Contributed to the development of conversational AI systems by ensuring dialogue quality and authentic language use. Adapted annotation methodologies to rapidly changing project requirements. • Focused on multi-modal text and audio evaluation • Supported dialogue system development • Contributed to consistent annotation quality • Adapted quickly to evolving annotation needs

2023 - 2024

AI Trainer & Data Annotator – Narrative & Conversational Content

OtherText

Annotated dialogue sequences, character interactions, and narrative content for conversational AI model training. Evaluated and assessed model responses on dialogue quality and coherence based on robust annotation rubrics. Ensured high annotation accuracy while handling complex, multi-layered conversational datasets. • Extensive focus on dialogue, narrative analysis • Collaborated on refining annotation rubrics • Evaluated narrative and interaction content for quality • Supported conversational AI model improvements

Annotated dialogue sequences, character interactions, and narrative content for conversational AI model training. Evaluated and assessed model responses on dialogue quality and coherence based on robust annotation rubrics. Ensured high annotation accuracy while handling complex, multi-layered conversational datasets. • Extensive focus on dialogue, narrative analysis • Collaborated on refining annotation rubrics • Evaluated narrative and interaction content for quality • Supported conversational AI model improvements

2023 - 2024

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Education

Work History