Alawaye Khawassullah

Key Skills

Software

Remotasks

Toloka

Appen

Top Subject Matter

General AI/ML

AI Text Generation

AI Quality Assurance

Top Data Types

Text

Image

Document

Top Task Types

Classification

Freelancer Overview

Freelance AI Data Annotator & Evaluator. Brings 3+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Remotasks, Toloka, and Appen. Education includes Bachelor of Arts, University of Ilorin (2026). AI-training focus includes data types such as Text and labeling workflows including Evaluation, Rating, and Classification.

Labeling Experience

AI Quality Assurance & Content Review Project

Text

As part of the AI Quality Assurance & Content Review Project, I reviewed AI-generated outputs to ensure standard compliance and correctness. My responsibilities included identifying errors, inconsistencies, and areas for model improvement. I provided critical feedback that directly contributed to the refinement of AI systems. • Reviewed outputs for adherence to project standards • Detected and reported inconsistencies and quality issues • Suggested improvements based on trend analysis • Played an active role in enhancing output reliability

As part of the AI Quality Assurance & Content Review Project, I reviewed AI-generated outputs to ensure standard compliance and correctness. My responsibilities included identifying errors, inconsistencies, and areas for model improvement. I provided critical feedback that directly contributed to the refinement of AI systems. • Reviewed outputs for adherence to project standards • Detected and reported inconsistencies and quality issues • Suggested improvements based on trend analysis • Played an active role in enhancing output reliability

2025 - Present

Data Annotation & Content Labeling Project

AppenTextClassification

In the Data Annotation & Content Labeling Project, I performed comprehensive labeling of datasets across multiple modalities. My tasks focused on consistency and accuracy to facilitate the training of AI models. All labels provided were in accordance with detailed project guidelines and quality requirements. • Annotated and classified data in multiple formats • Maintained strict guideline adherence to support supervised learning • Enhanced dataset uniformity and precision • Supported machine learning pipelines with accurate labeled data

In the Data Annotation & Content Labeling Project, I performed comprehensive labeling of datasets across multiple modalities. My tasks focused on consistency and accuracy to facilitate the training of AI models. All labels provided were in accordance with detailed project guidelines and quality requirements. • Annotated and classified data in multiple formats • Maintained strict guideline adherence to support supervised learning • Enhanced dataset uniformity and precision • Supported machine learning pipelines with accurate labeled data

2025 - Present

AI Response Evaluation & Ranking Project

TolokaText

During the AI Response Evaluation & Ranking Project, I assessed AI-generated outputs on accuracy, relevance, and instruction-following. I provided structured justifications for each evaluation to impact dataset reliability and output quality. My focus was on maintaining consistency and improving the overall integrity of AI response datasets. • Evaluated AI model outputs for compliance and performance • Offered structured reasoning to justify ratings • Ensured adherence to rubric definitions and guidelines • Contributed to continuous improvement of AI system outputs

During the AI Response Evaluation & Ranking Project, I assessed AI-generated outputs on accuracy, relevance, and instruction-following. I provided structured justifications for each evaluation to impact dataset reliability and output quality. My focus was on maintaining consistency and improving the overall integrity of AI response datasets. • Evaluated AI model outputs for compliance and performance • Offered structured reasoning to justify ratings • Ensured adherence to rubric definitions and guidelines • Contributed to continuous improvement of AI system outputs

2025 - Present

Freelance AI Data Annotator & Evaluator

RemotasksText

As a Freelance AI Data Annotator & Evaluator, I annotated and labeled diverse datasets to support AI model training and refinement. My work involved strict adherence to guidelines and the evaluation of AI-generated responses for accuracy, relevance, and compliance. I consistently ensured data quality and improved reliability through focused feedback and issue identification. • Labeled large-scale datasets including text, audio, and image formats • Ranked and rated AI responses using detailed scoring rubrics • Identified guideline ambiguities and flagged edge cases to boost annotation quality • Authored clear rationales to support labels and enhance dataset consistency

As a Freelance AI Data Annotator & Evaluator, I annotated and labeled diverse datasets to support AI model training and refinement. My work involved strict adherence to guidelines and the evaluation of AI-generated responses for accuracy, relevance, and compliance. I consistently ensured data quality and improved reliability through focused feedback and issue identification. • Labeled large-scale datasets including text, audio, and image formats • Ranked and rated AI responses using detailed scoring rubrics • Identified guideline ambiguities and flagged edge cases to boost annotation quality • Authored clear rationales to support labels and enhance dataset consistency

2025 - Present

Education

Work History