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K

Kubilay Cenk

AI Data Training Specialist

TURKEY flag
Istanbul, Turkey
$18.00/hrExpertLabelboxLabel StudioMicro1

Key Skills

Software

LabelboxLabelbox
Label StudioLabel Studio
Micro1
MindriftMindrift
RemotasksRemotasks
Scale AIScale AI
Internal/Proprietary Tooling

Top Subject Matter

Enterprise Business
Legal Services & Contract Review
Fintech Domain Expertise

Top Data Types

ImageImage
VideoVideo
AudioAudio

Top Task Types

RLHF
Prompt Response Writing SFT
Fine Tuning
Red Teaming
Evaluation Rating
Function Calling
Text Generation
Object Detection
Classification
Segmentation
Question Answering
Data Collection

Freelancer Overview

Data Training Specialist, Stealth AI. Brings 9+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include Internal and Proprietary Tooling. Education includes Master of Arts, Università degli Studi di Pavia (2023) and Bachelor of Science, University of Plymouth (2019). AI-training focus includes data types such as Text and labeling workflows including RLHF and Prompt + Response Writing (SFT).

ExpertTurkishEnglish

Labeling Experience

Data Training Specialist, Fyxer AI

TextRLHF
As a Data Training Specialist at Fyxer AI, I built high-quality datasets for supervised fine-tuning and reinforcement learning from human feedback (RLHF). I evaluated and annotated conversational datasets, focusing on instruction-tuning and response safety assessment. I collaborated with AI researchers to refine annotation guidelines and improved model safety by addressing harmful or biased outputs. • Tailored data labeling and annotation to specialized business domains such as legal, fintech, HR, and compliance. • Labeled datasets for enterprise tasks including compliance automation and customer support workflows. • Performed intent classification and quality assessment for business-oriented LLM use cases. • Regularly updated guidelines in response to evolving model performance and failure cases.

As a Data Training Specialist at Fyxer AI, I built high-quality datasets for supervised fine-tuning and reinforcement learning from human feedback (RLHF). I evaluated and annotated conversational datasets, focusing on instruction-tuning and response safety assessment. I collaborated with AI researchers to refine annotation guidelines and improved model safety by addressing harmful or biased outputs. • Tailored data labeling and annotation to specialized business domains such as legal, fintech, HR, and compliance. • Labeled datasets for enterprise tasks including compliance automation and customer support workflows. • Performed intent classification and quality assessment for business-oriented LLM use cases. • Regularly updated guidelines in response to evolving model performance and failure cases.

2025 - Present

Advanced AI Data Trainer, Invisible Technologies Inc.

TextPrompt Response Writing SFT
As an Advanced AI Data Trainer at Invisible Technologies Inc., I designed and crafted prompt-response dialogues for model training pipelines. My work involved applying retrieval-augmented generation (RAG), RLHF, and supervised fine-tuning to optimize AI comprehension and business knowledge synthesis. I participated in red-teaming to stress-test model robustness and documented recurrent failure modes for immediate model improvement. • Developed and labeled AI conversation data for complex business information workflows. • Engineered advanced prompts to support safe and reliable LLM behaviors. • Annotated, evaluated, and rated model outputs across business operation topics. • Identified critical safety and reliability issues for large language model deployment.

As an Advanced AI Data Trainer at Invisible Technologies Inc., I designed and crafted prompt-response dialogues for model training pipelines. My work involved applying retrieval-augmented generation (RAG), RLHF, and supervised fine-tuning to optimize AI comprehension and business knowledge synthesis. I participated in red-teaming to stress-test model robustness and documented recurrent failure modes for immediate model improvement. • Developed and labeled AI conversation data for complex business information workflows. • Engineered advanced prompts to support safe and reliable LLM behaviors. • Annotated, evaluated, and rated model outputs across business operation topics. • Identified critical safety and reliability issues for large language model deployment.

2024 - 2025

Education

U

Università degli Studi di Pavia

Master of Arts, World Politics and International Relations

Master of Arts
2023 - 2023
U

University of Plymouth

Bachelor of Science, International Relations with Politics

Bachelor of Science
2019 - 2019

Work History

L

Lxera

Co-Founder & Head of AI

Doha
2025 - 2026
S

Self-Employed

Sustainability and Climate Strategy Consultant

Istanbul
2022 - 2024