Sibel Argundogan

Key Skills

Software

Mindrift

Mercor

Scale AI

Telus

Top Subject Matter

No subject matter listed

Top Data Types

Text

Computer Code Programming

Top Label Types

Evaluation Rating

Computer Programming Coding

Prompt Response Writing SFT

Classification

Freelancer Overview

I am a software engineer with 6 years of experience specializing in back-end and full stack development, recently focusing on AI training data and code validation. My work as a Senior Software Engineer for AI training involved reviewing and validating JavaScript, TypeScript, and SQL code for accuracy, logical integrity, and alignment with modern standards, as well as providing structured feedback to enhance data quality for AI models. I have a strong background in designing, analyzing, and debugging real-world data scenarios across domains such as e-commerce, healthcare, and government projects. My technical toolkit includes ASP.NET Core, SQL, Angular, and a variety of data technologies like MongoDB, ElasticSearch, and Kafka, enabling me to ensure high-quality, reliable, and well-annotated datasets for AI and machine learning applications. I am passionate about software quality, clean code, and leveraging my expertise to support robust and accurate AI systems.

Labeling Experience

Online Data Analyst

TelusTextClassificationEvaluation Rating

Worked on a digital maps quality improvement project focused on verifying, comparing, and evaluating location-based information used in online mapping services. Reviewed business listings, points of interest, and map data to assess relevance, accuracy, and alignment with real-world context. Performed web-based research using search engines, online maps, and official websites to validate information, following detailed guidelines and quality standards. Contributed to improving the reliability and usability of map content used by millions of users worldwide.

Worked on a digital maps quality improvement project focused on verifying, comparing, and evaluating location-based information used in online mapping services. Reviewed business listings, points of interest, and map data to assess relevance, accuracy, and alignment with real-world context. Performed web-based research using search engines, online maps, and official websites to validate information, following detailed guidelines and quality standards. Contributed to improving the reliability and usability of map content used by millions of users worldwide.

2025

Software Engineering Expert

MercorComputer Code ProgrammingComputer Programming CodingPrompt Response Writing SFT

I contributed to AI research projects by reviewing and validating AI-generated code, prompts, and technical responses. My work focused on checking algorithmic correctness, identifying edge cases, and assessing code quality in terms of structure, readability, and maintainability. I provided structured feedback to help improve solution accuracy and clarity, and supported evaluation and benchmarking efforts to better measure model performance across different technical scenarios. I also categorized content by topic, difficulty, and language to ensure consistent and meaningful analysis, applying a practical software engineering mindset throughout the process.

I contributed to AI research projects by reviewing and validating AI-generated code, prompts, and technical responses. My work focused on checking algorithmic correctness, identifying edge cases, and assessing code quality in terms of structure, readability, and maintainability. I provided structured feedback to help improve solution accuracy and clarity, and supported evaluation and benchmarking efforts to better measure model performance across different technical scenarios. I also categorized content by topic, difficulty, and language to ensure consistent and meaningful analysis, applying a practical software engineering mindset throughout the process.

2025

Shop Search Relevance Collection Survey

MindriftTextEvaluation Rating

In this project, I reviewed and picked items that felt visually appealing to me, without focusing on whether I would actually buy them. The goal was to help improve the search experience by showing the system what kinds of products users find attractive and relevant. My selections contributed to making search results feel more personalized and better aligned with real user preferences, while all feedback remained fully anonymous.

In this project, I reviewed and picked items that felt visually appealing to me, without focusing on whether I would actually buy them. The goal was to help improve the search experience by showing the system what kinds of products users find attractive and relevant. My selections contributed to making search results feel more personalized and better aligned with real user preferences, while all feedback remained fully anonymous.

2025

AI Code Review & LLM Evaluation

Scale AIComputer Code ProgrammingComputer Programming CodingPrompt Response Writing SFT

Worked on AI training projects at Outlier focused on reviewing and validating AI-generated code and technical responses. Evaluated JavaScript, TypeScript, and SQL outputs for correctness, performance, and real-world usability, including async logic, type safety, and query optimization. Provided structured feedback to improve clarity and technical accuracy, analyzed frontend logic such as DOM manipulation and UI behavior, and contributed to consistent quality assessment of model outputs using a senior software engineering perspective.

Worked on AI training projects at Outlier focused on reviewing and validating AI-generated code and technical responses. Evaluated JavaScript, TypeScript, and SQL outputs for correctness, performance, and real-world usability, including async logic, type safety, and query optimization. Provided structured feedback to improve clarity and technical accuracy, analyzed frontend logic such as DOM manipulation and UI behavior, and contributed to consistent quality assessment of model outputs using a senior software engineering perspective.

2024 - 2025

Education

Work History