Yusuf Baysal

Key Skills

Software

Appen

CrowdSource

Labelbox

Mindrift

OneForma

Scale AI

Telus

Top Subject Matter

No subject matter listed

Top Data Types

Computer Code Programming

Image

Text

Top Task Types

Audio Recording

Classification

Prompt Response Writing SFT

RLHF

Text Generation

Freelancer Overview

I am an AI specialist with hands-on experience in data labeling, LLM evaluation, and generative AI projects. Over the past several years, I have contributed to AI training workflows with leading companies such as Telus, Appen, and Yandex, focusing on prompt engineering, user experience research, and model evaluation. My bilingual proficiency in English and Turkish allows me to work effectively on multilingual projects, especially in reinforcement learning from human feedback (RLHF) and text generation tasks. In addition to text-focused projects, I have supported image and video annotation, quality assessment, and data processing workflows that enhance AI performance across diverse applications. With a solid foundation in Python, C++, and Java, I combine technical expertise with practical experience in AI model optimization and evaluation. My background positions me to deliver accurate, high-quality AI training data and contribute to the development of reliable, human-centered AI systems.

Labeling Experience

LLM Evaluation and RLHF Data Labeling (TR/EN)

Scale AITextClassificationText Generation

Contributed to large-scale LLM training by labeling and evaluating AI-generated text in both Turkish and English. Tasks included ranking model outputs, writing prompts and responses for supervised fine-tuning, evaluating text coherence, fluency, and relevance, as well as providing human feedback for reinforcement learning.

Contributed to large-scale LLM training by labeling and evaluating AI-generated text in both Turkish and English. Tasks included ranking model outputs, writing prompts and responses for supervised fine-tuning, evaluating text coherence, fluency, and relevance, as well as providing human feedback for reinforcement learning.

2023 - 2024

Education

Work History