Azhar Din

Detail-oriented AI Data Annotator and AI Trainer with strong English fluency (C1 level) and hands-on experience in data labeling, LLM annotation, and language-focused AI training tasks. Skilled in text, audio, and speech annotation, including transcription, translation, speaker segmentation, and language and accent identification. Experienced in training AI models by reviewing, validating, and correcting datasets to ensure high accuracy and consistency.

Proven ability to meet tight deadlines while maintaining quality standards across large-scale annotation and labeling projects.

AI Data Annotator / AI Trainer at CrowdGen (by Appen) | OneForma | Mercor (Present)

• Worked on AI training and LLM data annotation projects involving text, audio, and language-based datasets.
• Performed data labeling tasks such as text classification, intent tagging, entity annotation, and content evaluation.
• Completed audio and speech annotation, including transcription, speaker segmentation, and language/accent identification.
• Reviewed, validated, and corrected AI-generated outputs to improve model accuracy and reduce error rates.
• Followed strict annotation guidelines and quality benchmarks to ensure consistency across large-scale datasets.
• Delivered high-quality work under tight deadlines while maintaining accuracy and compliance with platform standards.
• Successfully passed platform qualification tests and adapted quickly to new project requirements and tools.

English Teacher (Middle School Level)

Taught non-native English learners (Grades 6–8)

• Developed strong listening skills by working with diverse accents and learner speech patterns.
• Enhanced learners' pronunciation, comprehension, and written accuracy.
• Gained enough experience, provided cooler environment and received education certificates

Bachelor's Degree in Humanities – Shah Abdul Latif University Khairpur Sindh Pakistan (2014)