Victor Kibuchi
Victor Kibuchi

Remote Data Entry Specialist | Data Quality & Administrative Support

Actively looking · Member since 29 Sep 2026
Location
Nairobi, Kenya
Desired salary
Unspecified
Work preference
Remote Only / Full Time, Part Time, Contract, Freelance
Experience level
Senior

About

Professional summary

I am a remote data entry, data quality, and administrative support professional with more than seven years of experience supporting digital workflows. I specialize in entering, organizing, validating, cleaning, and maintaining structured information with accuracy and consistency.

I work daily with spreadsheets, datasets, records, documentation, and digital files. My approach emphasizes data integrity, careful source verification, clear categorization, and timely completion of high-volume tasks.

I am highly proficient with Microsoft Excel, Google Sheets, Google Workspace, Airtable, and Microsoft Office. I also use collaboration and productivity platforms to manage records, documentation, schedules, research, and asynchronous team communication.

My background includes data annotation, AI training, content evaluation, dataset quality assurance, internet research, document management, and virtual executive assistance. I am comfortable working with text, images, audio, structured datasets, JSON, CSV, and confidential business information.

I work independently, follow detailed instructions closely, and communicate clearly when requirements need clarification. I am experienced in distributed remote environments and consistently prioritize accuracy, confidentiality, organization, and deadlines.

Skills

24 capabilities

Tech stack & tools

Working toolkit

Application Utilities

Collaboration

Communications

Design

Experience

Career history

Data Annotation & AI Training Specialist Edstellar

Perform high-volume data entry, organization, classification, validation, and quality-control work across large digital datasets. Review information for accuracy, completeness, relevance, consistency, and compliance with project requirements.

Maintain structured records, project documentation, notes, and task information. Identify duplicate records, missing data, inconsistent information, and labeling errors; document findings and exceptions; conduct research and verification; and collaborate asynchronously with remote teams while handling sensitive information confidentially.

AI Data Evaluator / Data Quality Analyst MetaAI

Reviewed and evaluated structured data and digital content using established quality standards and project guidelines. Performed validation and quality checks to identify incomplete, duplicated, inaccurate, or inconsistent records.

Organized, entered, updated, categorized, and tracked data using Google Sheets and Microsoft Excel. Conducted factual research, documented findings and quality issues, followed changing requirements, and collaborated with distributed remote teams to resolve unclear cases.

Data Annotation Specialist GoogleKE

Entered, labeled, categorized, cleaned, organized, and validated high-volume information across digital datasets. Worked with text, image, audio, structured, and unstructured data while balancing speed, accuracy, and consistency.

Standardized information for reliable dataset preparation, documented exceptions and quality decisions, reviewed categorization, intent, sentiment, and entities, and escalated unclear or contradictory cases. Used spreadsheets and remote collaboration platforms to organize assignments and incorporate reviewer feedback.

Virtual Executive Assistant Confidential Private Clients

Entered, organized, updated, and maintained information in spreadsheets and digital records for multiple clients. Managed calendars, appointments, schedules, deadlines, task-tracking information, digital files, confidential documents, and administrative records.

Prepared reports, meeting notes, briefing materials, schedules, and professional documents. Conducted online research, compiled concise summaries, drafted email correspondence, tracked follow-ups, and maintained organized remote workflows with minimal supervision.

Education

Learning history

University of Maryland, College Park

Bachelor of Science, Computer Science

Relevant coursework included Database Systems, Statistics & Probability, Data Mining, Artificial Intelligence, Machine Learning, Data Structures & Algorithms, Software Engineering, and Natural Language Processing.

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