Key Skills

Software

Appen

Clickworker

Labelbox

Mindrift

OneForma

Remotasks

Toloka

Other

Scale AI

Top Subject Matter

No subject matter listed

Top Data Types

Audio

Text

Video

Top Task Types

Audio Recording

Data Collection

Evaluation Rating

Prompt Response Writing SFT

RLHF

Freelancer Overview

I have extensive experience in data labeling and AI training workflows, including LLM (Large Language Model) evaluation and fine-tuning support. My background spans annotation for NLP, computer vision, and speech data, with particular strengths in evaluating model outputs for coherence, factuality, and safety—key metrics in LLM performance. I've contributed to projects involving prompt response scoring, relevance ranking, and instruction-tuning dataset creation. This includes tasks such as ranking multiple outputs, rewriting low-quality generations, and assessing adherence to alignment criteria across various use cases. Proficient in platforms such as Toloka, Outlier, Labelbox, Scale AI, and SuperAnnotate, I bring deep familiarity with industry-standard tools and quality control workflows. I’m recognized for maintaining high annotation accuracy and alignment with complex task guidelines, often serving as a quality lead or reviewer. My attention to detail, strong critical reasoning, and ability to adapt quickly to evolving annotation schemas allow me to deliver consistently high-quality training data. What sets me apart is my ability to not only execute labeling tasks with precision but also contribute to the strategic refinement of labeling processes, ensuring datasets are both technically robust and model-effective.

Labeling Experience

Education

Work History