Olga Kokhan
Position:
Olga's expertise lies in her careful attention to detail and profound understanding of industry trends and insights.
Life credo:
Olga Kokhan is an entrepreneur, CEO, and co-founder of Tinkogroup, a data processing company specializing in high-accuracy data annotation, lead research, and internet-based BPO services. Under her leadership, the company has delivered hundreds of high-volume data projects for clients across the U.S. and Europe – from AI startups and insurance firms to global e-commerce platforms.
Tinkogroup began in 2016 as a remote-first team of data experts, growing into a trusted data processing vendor. Today, Tinkogroup supports organizations training machine learning models, structuring product catalogs, and scaling operations with cost-effective, GDPR- and CCPA-compliant workflows.
Olga is known for building lean, detail-obsessed data teams that hit deadlines, pass audits, and scale fast. Her organizational prowess is a cornerstone of the company’s success, as she ensures seamless workflow and high-quality outputs of 40 skilled professionals. With this expert team, Olga works on high-profile projects, such as collaborating with NASA’s contactor on their data processing initiatives.
Now, Olga’s mission is to make high-quality training data accessible to small and midsize AI companies, not just enterprise players. Through content, consulting, and managed services, she helps teams train better models – with less effort, less cost, and more clarity.
Key Strengths
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8+ years in data annotation, BPO, and AI data operations
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CEO & Co-founder of Tinkogroup, delivering scalable, high-accuracy data services
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Expert in building remote, quality-driven annotation teams
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Strong focus on GDPR/CCPA-compliant workflows for AI, e-commerce, insurance, and many others.
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Author and speaker on data annotation best practices and tooling
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Proven track record in client delivery, team leadership, and process optimization
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Passionate about human-in-the-loop systems and practical AI adoption
In her spare time, Olga mentors female founders, writes about AI x data quality, and explores new ways to turn messy raw data into usable intelligence.
List of Olga Kokhan`s articles

The True Data Annotation Cost per 10K Labels – And How to Lower It
In any large-scale AI-based system, annotated data plays the same role as fuel in an engine. Without it, the model will not learn, predictions will…

Top Data Annotation Companies in Europe: 2025 Edition
Choosing a data annotation service provider is a strategic decision that directly impacts the quality of the final model, time to market, and regulatory compliance.…

7 Proven Ways to Increase Annotation Throughput at Scale (Freelancers vs. Teams)
In machine learning, data labeling is the foundation on which the accuracy and reliability of the model are built. The faster and better the datasets…

Top Data Annotation Companies in UK: 2025 Edition
Developing highly accurate machine learning models requires not only advanced algorithms, but also perfectly labeled data. That is why choosing an annotation vendor is not…

Top data labeling companies in the USA – best picks in 2025
No matter how advanced AI technology becomes, it always starts with something very simple. And it’s labeled data. Every smart system, be it a self-driving…

Onshore vs Offshore Data Annotation: Pros, Cons, and How to Decide
The choice between onshore and offshore data annotation models is one of the key issues faced by teams developing AI-based products. Although this stage is…