Nigar S.

Key Skills

Software

Don't disclose

Top Subject Matter

AI training data quality assurance and search/system relevance evaluation

Search quality evaluation

relevance grading

Top Data Types

Text

Document

Top Task Types

Data Collection

Prompt + Response Writing (SFT)

Transcription

Text Summarization

Text Generation

Question Answering

Freelancer Overview

Search Quality Improvement Specialist in Contract Review, Compliance, and Legal Research. Brings 3+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Don't disclose. Education includes Bachelor of Psychology, Khazar University (2026). AI-training focus includes data types such as Text and labeling workflows including Evaluation and Rating.

Labeling Experience

Freelance Data & AI Quality Specialist — RWS (2025–Present)

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Provided expert-level annotation and validation of datasets used to support machine learning and AI model development. Delivered high-accuracy labeling on complex, context-dependent data while correcting inconsistencies in AI-generated outputs to improve reliability. Supported iterative model testing using structured qualitative feedback and strict accuracy standards in high-volume workflows. • Annotated and validated ML/AI training datasets with contextual and semantic understanding • Evaluated AI-generated outputs, identified errors, and corrected inconsistencies • Produced qualitative feedback for iterative model testing and workflow improvements • Maintained exceptional accuracy in high-volume remote annotation tasks

2025 - Present

Search Quality Improvement Specialist — Yandex (Turkish & English) (2024–2025)

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Conducted high-precision evaluation of search engine results using user intent, geographic relevance, and content quality criteria. Verified business listings, URLs, and location-based data integrity, ensuring consistent adherence to strict multilingual evaluation guidelines. Contributed structured feedback on ranking accuracy issues to support continuous improvement of search relevance metrics in Turkish and English markets. • Rated search results based on user intent, relevance, and content quality • Checked listing and URL correctness, including location-based data integrity • Identified systemic ranking issues and provided structured feedback to improve algorithms • Ensured guideline compliance across multilingual datasets for Turkish and English

2024 - 2025

Education

Work History