Yousuf Valakkulam

Key Skills

Software

Appen

Clickworker

Data Annotation Tech

Deep Systems

Mindrift

Other

Top Subject Matter

LLM Evaluation in Malayalam, English and Arabic

Multimodal Labelling

SFT

Top Data Types

Audio

Document

Image

Top Task Types

Audio Recording

Classification

Data Collection

Emotion Recognition

Fine Tuning

Freelancer Overview

I am an experienced AI Data Trainer and Annotation Specialist with a strong track record across leading platforms such as Mindrift, Outlier, Aligner, Invisible Technologies, and Appen. My expertise spans data labeling, LLM evaluation, TAU (Tool–Agent–User) assessments, quality assurance (QA), taxonomy mapping, instruction-following evaluation, and multilingual annotation. I work extensively with text, audio, and image datasets, producing high-quality, guideline-aligned annotations that directly support the development of accurate, safe, and reliable AI models. With deep linguistic proficiency in Malayalam, Arabic, and English, I bring cultural insight and precision that significantly enhances multilingual AI performance. What sets me apart is my ability to handle complex, large-scale datasets with exceptional consistency and analytical depth. I specialize in evaluating model outputs, detecting reasoning gaps, ensuring safety compliance, and improving dataset structuring for NLP, search relevance, classification, and generative AI tasks. My strong understanding of LLM behaviour, combined with my experience across multiple high-standard AI projects, enables me to deliver data that improves model alignment, reduces hallucination, and enhances overall AI accuracy and reliability.

Labeling Experience

Datat Labeling

ClickworkerImageBounding BoxPolygon

Labelled and annotated data in Appen, Clickworker and Invisible.

Labelled and annotated data in Appen, Clickworker and Invisible.

2022

Education

Work History