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Guney Gurol

Guney Gurol

AI Model Evaluation & Technical Data Annotation Specialist

TURKEY flag
Uşak, Turkey
$50.00/hrExpertLabelboxScale AIMicro1

Key Skills

Software

LabelboxLabelbox
Scale AIScale AI
Micro1

Top Subject Matter

AI Evaluation
Programming Domain Expertise
Algorithmic Reasoning

Top Data Types

Computer Code ProgrammingComputer Code Programming
TextText
DocumentDocument

Top Task Types

RLHF
Fine Tuning
Data Collection
Computer Programming Coding

Freelancer Overview

AI Model Evaluation & Technical Data Annotation Specialist. Brings 4+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal and Proprietary Tooling. AI-training focus includes data types such as Computer Code and Programming and labeling workflows including Evaluation and Rating. I've micro1 certificate : https://micro1-portal-data.s3.amazonaws.com/engineer-certificates/1764586859-abc17b7d-e030-4d9e-b2d1-556bfe267dcb.jpg

ExpertFrenchEnglishTurkish

Labeling Experience

AI Model Evaluation & Technical Data Annotation Specialist

I performed evaluation and structured annotation of AI-generated code and technical language model outputs. My work focused on reviewing, rating, and providing feedback on programming solutions and debugging outputs for large language model datasets. I contributed directly to reinforcement learning from human feedback (RLHF) pipelines to improve model accuracy and output quality. • Evaluated AI-generated code solutions for correctness, performance, and engineering quality. • Conducted technical data annotation for programming and debugging datasets. • Validated algorithmic and benchmark datasets to detect inconsistencies. • Provided structured feedback within RLHF workflows and compared multiple AI-generated solutions.

I performed evaluation and structured annotation of AI-generated code and technical language model outputs. My work focused on reviewing, rating, and providing feedback on programming solutions and debugging outputs for large language model datasets. I contributed directly to reinforcement learning from human feedback (RLHF) pipelines to improve model accuracy and output quality. • Evaluated AI-generated code solutions for correctness, performance, and engineering quality. • Conducted technical data annotation for programming and debugging datasets. • Validated algorithmic and benchmark datasets to detect inconsistencies. • Provided structured feedback within RLHF workflows and compared multiple AI-generated solutions.

2022 - Present

LLM Code Evaluation and Annotation

Computer Code ProgrammingRLHF
Evaluated AI-generated code produced by large language models for programming tasks. Responsibilities included reviewing solutions for correctness, efficiency, and adherence to software engineering best practices. Annotated outputs using structured evaluation rubrics and identified logical errors, edge cases, and potential improvements to enhance the quality of training datasets.

Evaluated AI-generated code produced by large language models for programming tasks. Responsibilities included reviewing solutions for correctness, efficiency, and adherence to software engineering best practices. Annotated outputs using structured evaluation rubrics and identified logical errors, edge cases, and potential improvements to enhance the quality of training datasets.

2024 - 2025

Algorithmic Error Detection in Model Outputs

Computer Code ProgrammingEvaluation Rating
Analyzed AI-generated programming solutions to detect subtle algorithmic and logical errors. Compared model outputs against expected behaviors, validated correctness across multiple scenarios, and provided annotations highlighting issues in both generated code and supporting evaluation data.

Analyzed AI-generated programming solutions to detect subtle algorithmic and logical errors. Compared model outputs against expected behaviors, validated correctness across multiple scenarios, and provided annotations highlighting issues in both generated code and supporting evaluation data.

2023 - 2025

AI Benchmark and Test Case Validation

Computer Code ProgrammingFine Tuning
Reviewed and validated complex benchmark datasets and unit tests used to evaluate large language models in software-related tasks. Identified logical inconsistencies and edge-case failures in test cases, ensuring that evaluation benchmarks accurately measured model performance and produced reliable training signals.

Reviewed and validated complex benchmark datasets and unit tests used to evaluate large language models in software-related tasks. Identified logical inconsistencies and edge-case failures in test cases, ensuring that evaluation benchmarks accurately measured model performance and produced reliable training signals.

2023 - 2025

RLHF Technical Review

Computer Code ProgrammingFine Tuning
Participated in reinforcement learning from human feedback (RLHF) workflows where model-generated responses were reviewed and rated by human experts. Provided detailed annotations and feedback on programming solutions, focusing on reasoning quality, correctness of implementation, and clarity of explanations to support model alignment and training improvements.

Participated in reinforcement learning from human feedback (RLHF) workflows where model-generated responses were reviewed and rated by human experts. Provided detailed annotations and feedback on programming solutions, focusing on reasoning quality, correctness of implementation, and clarity of explanations to support model alignment and training improvements.

2023 - 2025

Education

A

Ahmet Yesevi University

Master of Science, Computer Engineering

Master of Science
2020 - 2022
D

Dokuz Eylul University

Bachelor of Science, Civil Engineering

Bachelor of Science
1996 - 2000

Work History

T

Tourism Technology Company

Senior Software Engineer

Uşak
2022 - 2023
I

International Online Education Platform

Senior Software Engineer / Team Lead

Uşak
2020 - 2022