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Sergie N.

Sergie N.

Data Annotation Specialist (Precision Data Solutions)

Kenya flagNairobi, Kenya

Key Skills

Software

Don't disclose
Other

Top Subject Matter

ML dataset quality assurance and data validation for code-quality checks.
Computer vision dataset labeling and documentation standards for ML training.

Top Data Types

ImageImage

Top Task Types

ClassificationClassification

Freelancer Overview

Data Annotation Specialist (Precision Data Solutions). Core strengths include Don't disclose and Other. Education includes Bachelor of Science, Mount Kenya University and Bachelor of Science, ALX Africa. AI-training focus includes data types such as Computer Code, Programming, and Image and labeling workflows including Evaluation, Rating, and Classification.

Labeling Experience

Data Annotation Specialist (Precision Data Solutions)

Don't disclose

Validated and processed large volumes of dataset entries as a code-quality check to support downstream machine learning systems. Maintained high accuracy while collaborating with a team to standardize input practices and reduce inconsistency-driven errors. Used Python-based workflow improvements to enhance throughput and reliability for continuous annotation operations. • Validated and processed ~1,500 entries per day with 98% accuracy. • Reduced annotation error rates by 15% through standardized input practices and debugging data flow inconsistencies. • Optimized processing workflows using Python scripts, improving team throughput by 25%. • Collaborated in a 10-person remote team to enforce quality checks and consistency.

2024 - 2025

Image Data Labeler (VisionTech AI)

OtherImageImageClassificationClassification

Performed large-scale image annotation with a focus on data integrity to improve downstream target model performance. Developed and authored labeling standards and documentation that guided consistent labeling practices and reduced critical annotation errors. Onboarded and trained team members to ensure adherence to protocols, improving labeling efficiency. • Labeled and processed 100,000+ images with data integrity impacting a 12% ML performance boost. • Authored comprehensive labeling standards/guidelines, reducing critical annotation errors by 40%. • Trained 5 new team members to follow documented protocols. • Improved team efficiency by 10% through enforced quality standards.

2023 - 2024

Education

A

ALX Africa

Bachelor of Science, Cybersecurity

Bachelor of Science
Not specified
M

Mount Kenya University

Bachelor of Science, Information Technology

Bachelor of Science
Not specified

Work History

P

Precision Data Solutions

Data Annotation Specialist

Dallas
2024 - 2025
V

VisionTech AI

Image Data Labeler

Houston
2023 - 2024