Олександр

Balov Oleksandr
Data Annotator
Full/Remote
Age: 28 years
City: Vyshneve, Kyiv

Contact info
Phone: [открыть контакты](см. выше в блоке «контактная информация»)
Mail: [открыть контакты](см. выше в блоке «контактная информация»)
Linkedin: [открыть контакты](см. выше в блоке «контактная информация»)

Summary
Data Annotator with 5+ years of experience in image, video, and audio annotation. Skilled in
team management, QA implementation and workflow optimization to boost annotation speed
and accuracy. Collaborates effectively with engineers and QA teams to deliver high-quality
datasets for machine learning.

Work Experience

AI Data Annotation Specialist
April 2026 – June 2026
NDA project (part-time)
 Performed audio data annotation, identifying key triggers and patterns within sound
recordings using Audacity, Reaper, and Git-based workflows.
 Refined annotation instructions and overall workflow structure to accelerate task
completion and lower the onboarding threshold for new team members.
 Reduced operational risks associated with remote/online work through improved process
documentation and clearer task boundaries.
 Streamlined workflows to decrease the workload placed on ML engineers, while
maintaining a focus on increasing overall annotation accuracy.
Annotation Lead / Delivery Manager
November 2025 – February 2026
Data Science UA (NDA project)
 Brought onto the project as a subject-matter specialist to define golden sets, align with the client
on delivery timelines, required team size, and workflow instructions based on client requirements.
 Created and timed golden sets to establish accurate benchmarks for annotation duration and
quality standards.
 Built the annotation environment for text annotation and data collection (screen-recording
capture), ensuring readiness for team onboarding.
 Participated in recruiting and onboarding annotators, training them on the established guidelines
and instructions.
 Performed hands-on annotation and QA work as needed, maintaining consistency and accuracy
across the pipeline.
 Tracked and analyzed annotation speed and quality metrics, presenting findings to the project
manager and client to drive process improvements.

AI Dataset Annotator / Team Lead Annotator
December 2024 - November 2025
Wildix (AIVA, AI-based Human action recognition)

 Annotation and recheck of image and video datasets, including bounding box (bbox) and tag
annotation for HAR, LSTM models.
 Led a team of annotators, ensuring consistent labeling quality and meeting project deadlines.
 Implemented structured QA processes that improved annotation reliability and reduced rework.
 Developed detailed annotation guidelines and documentation, simplifying workflows and ensuring
data consistency.
 Coordinated with data engineers and QA specialists to align annotation outputs with model
training requirements.
 Managed hiring, onboarding, and task distribution, fostering a productive and collaborative
environment.
Achievements: Increased annotation speed by 30% and reduced error rate by 50% through QA
optimization and custom instructions, resulting in fewer follow-up questions and smoother team
performance.
Data Annotator & Auditor
July 2023 - December 2024
Data Science UA (nFlux project, Everguard project)
 Picture annotation (bbox tool, polygon tool). Working with DataLoop, CVAT.
 Audit of frames for further annotation according to specific criterias.
 Creating test cases of model training errors.

Since 09.2023 (Annotation Lead, additional duties):
 Distribution of markup tasks to the team.
 Briefing, teaching the basics of auditing and markup and explaining changes in model training
annotation requirements.
 Writing annotation instructions based on communication between data engineers and QA
testers.
Achievement: Successfully prepared and trained a demo version of an smart assembly assistant model
from scratch, showcased at an industry exhibition and resulting in additional project investment.

Data Operator
September 2019 - February 2023
SQUAD (Ring Ukraine), Kyiv
 Training neural networks of smart doorbells and surveillance cameras by annotating photo
and video materials.
 Testing and processing neural networks algorithms; Working with a proprietary, constantly
improving product.
 Working with Label Studio, MySQL, Docker, Jira, Confluence.
Since 09.2022 (additional duties):
 Collecting data from smart devices for further neural networks processings.
 Testing smart doorbells hardware at studios.
 Writing and analysing test documentation.

Recommendations:
Anna Boiko (SQUAD HR Manager)
[открыть контакты](см. выше в блоке «контактная информация»)
Alberto Fraga (nFlux Direct manager)
[открыть контакты](см. выше в блоке «контактная информация»)
Stanislava Srebnytska (Data Science HR Manager)
[открыть контакты](см. выше в блоке «контактная информация»)
Vitaliy Pivovarov (Wildix Direct manager)
[открыть контакты](см. выше в блоке «контактная информация»)
Education
National Aviation University
Automation and computer-integrated technology (English-based),
Masters Degree, September 2015 – February 2021

Qualifications:
 Knowledge of annotation principles
 Knowledge of GIT
 Experience in annotating photo, video and audio material
 Working with CVAT, Label Studio, DataLoop, Audacity, Reaper, Davinci Resolve
 Proficient Windows, Ubuntu and MacOS user (also including hardware mainterance for Windows
setups)

Additional Info

Always ready to develop and learn something new with the team and the project. Carry out my
work diligently. Communicative, friendly while working in the team.