Ziyechy Z.

Key Skills

Software

Toloka

Top Subject Matter

AI training dataset quality assurance for digital solutions platforms

Data quality assurance for business records and operational datasets

Top Data Types

Text

Audio

Image

Top Task Types

Classification

Transcription

Text Summarization

Freelancer Overview

Data Specialist / Freelance Remote Operator (Data labeling, annotation QA, structural verification). Brings 5+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Don't disclose, Microsoft Excel, and Office. AI-training focus includes data types such as Text and labeling workflows including Evaluation, Rating, and Classification.

Labeling Experience

Data Specialist / Freelance Remote Operator (Data labeling, annotation QA, structural verification)

Don't discloseText

Reviewed and cleaned large textual datasets to ensure strict alignment with project quality benchmarks and taxonomy or structural rules. Assessed metadata mismatches and logical inconsistencies to maintain an accuracy rating above 98% for downstream AI training readiness. Adapted to iterative technical guidelines and edge-case exceptions provided by remote operations managers to keep labeling outputs consistent. • Evaluated dataset quality using tracking and spreadsheet-based workflows • Verified structural and semantic alignment with complex taxonomy rules • Flagged and corrected errors, metadata mismatches, and inconsistencies • Maintained accuracy metrics above the stated threshold

2024 - Present

Administrative & Operations Assistant (Dataset structural auditing and discrepancy resolution)

TextClassification

Performed routine structural auditing and cross-referencing of localized business records to keep digital datasets clean and accurate. Resolved discrepancies by comparing account profiles against secondary resource documents and ensuring consistent record organization. Systematized daily reporting workflows by optimizing documentation structures to reduce internal search and access delays. • Maintained and updated localized business databases with structural verification • Cross-referenced records to resolve operational and profile discrepancies • Ensured cleaned, accurate entries for internal dataset use • Optimized documentation and reporting processes for faster access

2022 - 2023

Education

Work History