Summary

Highly motivated and detail-oriented Remote Operations Assistant with hands-on experience in data entry, content moderation, and AI data annotation. Proven ability to handle large datasets, maintain 100% accuracy under tight deadlines, and work independently in asynchronous environments. Eager to contribute high-quality data management and validation support to global teams.

CORE SKILLS

• Data Management: Data Entry, Data Validation, Quality Control, Database Cleansing.

• Technical Tools: Microsoft Excel (Advanced), Google Sheets, Technical Troubleshooting.

• Operations: Content Moderation, Image/Video Annotation, Spatial Labeling (Bounding Boxes).

• Soft Skills: Exceptional Attention to Detail, Time Management, Independent Problem Solving.

• Languages: Russian (Native), English (Working Proficiency / Technical Literacy).

EXPERIENCE

AI Data Specialist & Annotator | Remote / Freelance

August 2026 – Present

• Successfully passed advanced spatial data qualification tests for leading AI training platforms.

• Evaluated, categorized, and annotated complex data sets (images and structured content) to train cutting-edge AI models.

• Performed precision object tagging, bounding box placement, and pairwise data comparisons with 100% compliance to strict guidelines.

• Identified and filtered out duplicate, corrupted, or incorrectly formatted data points to ensure dataset integrity.

Data Entry & Content Operations Assistant | Freelance

January 2026 – August 2026

• Entered, updated, and validated business and operational records within spreadsheets and cloud databases.

• Maintained high productivity standards while manually reviewing digital records for completeness and spelling consistency.

• Monitored online content, filtering out spam, duplicates, and policy violations based on internal operational protocols.

• Collaborated asynchronously with global project teams, delivering tasks on time and reporting system glitches proactively.

EDUCATION

High School Diploma (In Progress)

Focus: Information Technology & AI Foundations

Expected Graduation: May 2028