Top AI companies are gradually replacing cheap data labeling labor in Africa and Asia with higher-skilled experts to improve the quality of AI models.
This trend reflects a growing focus on training more complex data to meet the demands of next-generation AI systems like OpenAI o3 or Google Gemini 2.5, requiring deeper expertise in specialized fields.
MAIN CONTENT
Transforming the workforce from simple labeling jobs to highly specialized experts to improve AI training data.
Scale AI, Turing, and Toloka are paying 20-30% higher salaries for experts to enhance data quality and models.
Investments from large funds, such as Meta and Bezos Expeditions, contribute to increasing value and driving businesses focused on AI data.
Why are AI companies replacing cheap labor with skilled experts?
CEOs and industry experts in AI have affirmed that improving the quality of training data heavily relies on the deep expertise of data practitioners. For example, Olga Megorskaya, CEO of Toloka, stated that data plays a crucial role in training AI and needs more focus than before.
Data has always been the overlooked part of AI, but now the industry is recognizing its importance in training more complex models.
Olga Megorskaya, CEO of Toloka, 2024
This is particularly important as AI aims to develop 'reasoning' systems like OpenAI o3 and Google Gemini 2.5, requiring data to be evaluated and processed by experts with deep knowledge in fields such as biology and finance.
Which companies are leading this trend, and how have they changed?
Companies Scale AI, Turing AI, and Toloka have intensified hiring industry experts to create more sophisticated training datasets. Their value is reflected through large investments, such as Meta investing $15 billion in Scale AI, raising the company's valuation to $29 billion.
Turing AI has also attracted $111 million in funding with a valuation of $2.2 billion, while Toloka received a $72 million investment led by Bezos Expeditions. This shows strong investor interest in high-quality data in AI.
How have salary structures and job requirements for experts changed?
Jonathan Siddharth, CEO of Turing AI, shares that experts currently earn 20-30% more than their current income because they must handle complex tasks requiring deep understanding of real data and how AI processes challenging situations.
An advanced AI system can surpass the capabilities of physicists or leading experts to develop itself.
Jonathan Siddharth, CEO of Turing AI, 2024
Labelers are no longer just labeling simply but must understand language, culture, and fine-tune data according to context. Additionally, they take on the role of evaluating content generated by AI to ensure high accuracy.
What is the role of quality data in modern AI development?
Olga Megorskaya explains that features like 'chain-of-thought' in AI, which show how models solve problems step by step, can only develop when specialized humans are directly involved in analyzing and presenting data in smaller parts.
Even if companies spend only about 10-15% of their budgets on data, this still represents a significant investment, as quality data is the foundation for AI to achieve breakthroughs in processing and reasoning capabilities.
How have large AI companies been ramping up investments in data?
Company Highlighted Investment Latest Valuation Recruitment Strategy Scale AI Meta invested $15 billion (06/2024) $29 billion Hiring experts from various fields to enhance diverse data Turing AI $111 million (03/2024) $2.2 billion Paying 20-30% higher salaries, deep expertise for complex task processing Toloka $72 million led by Bezos Expeditions (05/2024) – Focusing on developing data through experts combined with strict quality assessments
Frequently Asked Questions
Why is data more important than ever in AI development?
Core quality data helps AI understand, learn better, and operate more accurately, especially in complex reasoning AI systems.
How much higher are expert salaries compared to traditional data labor?
Companies like Turing AI pay experts 20-30% higher salaries to ensure the quality and complexity of the data.
Which companies are leading in hiring AI data experts?
Scale AI, Turing AI, and Toloka are leading companies shifting their workforce strategy towards high-skilled experts.
What is the scale of investment in the AI data sector?
Investments of tens of billions of USD from Meta, Bezos Expeditions, and other large funds demonstrate the increasing importance of AI data.
What is the role of experts in modern AI training?
Experts provide insights and quality assessments to structure intricate data, helping AI solve complex problems using chain-of-thought methods.
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