Quasim Lateef

Key Skills

Software

Appen

Top Subject Matter

No subject matter listed

Top Data Types

Text

Top Label Types

Entity Ner Classification

Freelancer Overview

I am an experienced AI data annotation specialist and content evaluator with a proven track record supporting global projects on platforms like Appen, Humanatic, OneForma, and CrowdSurf. My expertise spans text, audio, and media data labeling, including generative language model training, ad quality and policy review, transcription, and subtitling. I excel at following complex guidelines, ensuring high accuracy, and adapting quickly to new tools and requirements. With strong attention to detail and a technical background in HTML, CSS, JavaScript, and basic Python, I am confident in my ability to deliver high-quality AI training data and support diverse annotation projects in natural language processing, content moderation, and media analysis.

Labeling Experience

Project Eve

AppenTextEntity Ner Classification

Annotated and evaluated text data to support training and improvement of generative language models Assessed language quality, relevance, coherence, and contextual accuracy. Followed detailed project guidelines to ensure consistency across annotations. Flagged edge cases and ambiguous outputs for further review

Annotated and evaluated text data to support training and improvement of generative language models Assessed language quality, relevance, coherence, and contextual accuracy. Followed detailed project guidelines to ensure consistency across annotations. Flagged edge cases and ambiguous outputs for further review

2023 - 2024

Education

Work History