Yusuf U.

Key Skills

Software

Labelbox

Scale AI

Data Annotation Tech

Remotasks

Mindrift

OneForma

Top Subject Matter

Nlp Domain Expertise

sentiment analysis

and text classification for AI training datasets

Top Data Types

Text

Image

Video

Audio

Document

Top Task Types

Bounding Box

Tracking

Transcription

Data Collection

Question Answering

Freelancer Overview

Freelance Data Annotator & Labeller (Independent Contractor — Remote) | Text classification, sentiment/content review, a. Brings 4+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include Labelbox and Scale AI. Education includes Bachelor of Science, Miva Open University (2027). AI-training focus includes data types such as Text, Image, and Video and labeling workflows including Entity (NER), Bounding Box, and Tracking.

Labeling Experience

Freelance Data Annotator & Labeller (Independent Contractor — Remote) | Sentiment analysis and content review evaluation

Scale AIText

Freelance content review work evaluated text and media for sentiment, toxicity, relevance, and intent to ensure reliable dataset labeling. The role required applying consistent evaluation criteria across large datasets and multiple annotation projects. QA activities included checking outputs for compliance and correcting issues to maintain labeling uniformity.• Reviewed and categorized content based on sentiment, toxicity, relevance, and intent criteria.• Ensured data quality and labeling consistency across large-scale datasets.• Conducted QA review to catch errors and inconsistencies before delivery.• Managed multiple concurrent labeling projects while meeting deadline and quality targets.

2023 - Present

Freelance Data Annotator & Labeller (Independent Contractor — Remote) | Audio transcription and labeling

LabelboxAudioTranscription

Freelance audio labeling included accurate transcription and metadata tagging to support speech recognition and NLP model development. Recordings were transcribed and labeled with speaker intent, tone, and content categories using high-precision annotation. Outputs were validated for correctness and consistency against labeling guidelines.• Transcribed audio recordings and generated time-aligned labeled text as required by projects.• Labeled speaker intent, tone, and content categories to enhance dataset utility.• Applied high-accuracy transcription standards to support speech and NLP training.• Performed QA validation to confirm label correctness and guideline adherence.

2023 - Present

Freelance Data Annotator & Labeller (Independent Contractor — Remote) | Video annotation

LabelboxVideoTracking

Freelance video annotation tasks supported AI training for autonomous systems and video understanding. Annotated and tagged video frames to identify and track objects, actions, and events while maintaining structured labeling outputs for model readiness. Emphasis was placed on reliable execution against complex guidelines and timely delivery.• Labeled and tagged video frames to identify objects, actions, and events.• Contributed frame-level labels to training datasets for AI video analysis projects.• Maintained consistent tracking across frames for stable ground truth.• Met tight deadlines while sustaining precision and label quality in remote workflows.

2023 - Present

Freelance Data Annotator & Labeller (Independent Contractor — Remote) | Image annotation and bounding box/polygon labeling

LabelboxImageBounding Box

Freelance computer-vision labeling responsibilities included image annotation for object detection and related recognition tasks. Work involved precise bounding box labeling along with complementary polygon segmentation and keypoint-style labeling to build ground truth for ML training. Quality assurance and guideline compliance were maintained for each delivered dataset.• Produced bounding boxes for objects to support object detection and recognition model training.• Created polygon segmentation and keypoint labels for detailed visual ground truth.• Ensured measurement and label consistency across images per project guidelines.• Verified annotations through QA and validation for accuracy prior to submission.

2023 - Present

Freelance Data Annotator & Labeller (Independent Contractor — Remote) | Text classification, sentiment/content review, and NER labeling

LabelboxText

Freelance data labeling work focused on annotating and classifying large volumes of text to support NLP and AI model training. Labels included sentiment, toxicity/toxicity-like attributes, relevance/intent, and named entities using structured labeling schemas. The work emphasized consistent guideline adherence, high accuracy, and dataset quality validation across multiple concurrent projects.• Annotated and classified thousands of text samples across multiple domains using detailed labeling guidelines.• Performed sentiment analysis and content evaluation to ensure consistency for large-scale datasets.• Applied named entity recognition (NER) and maintained annotation logs for quality and traceability.• Conducted quality assurance checks to identify and correct errors or inconsistencies before delivery.

2023 - Present

Education

Work History