The Hidden Human Infrastructure of AI
Every AI model that answers a question, generates an image, or makes a recommendation has been shaped by human workers — annotators who label data, reviewers who evaluate outputs, trainers who provide the feedback signals that tell models what good looks like. This workforce is vast, largely invisible, and disproportionately located in developing countries, particularly India.
Economic Times investigates the working conditions, pay structures, and career trajectories of this workforce — and the responsibility that AI companies bear for the people whose labour underpins the AI revolution. The story finds a sector at an inflection point: as AI models grow more capable and the demand for high-quality training data intensifies, the treatment of the humans who provide that data is coming under unprecedented scrutiny.
India's Role in Global AI
India has become the world's largest supplier of AI training data labour. A combination of English proficiency, STEM education, internet penetration, and wage differentials has made India the default location for data annotation operations serving AI companies in the US, Europe, and East Asia. Estimates suggest hundreds of thousands of Indians are engaged in AI-related data work, with numbers growing rapidly as demand from foundation model developers accelerates.
The work spans a vast range of complexity and compensation — from simple image labelling at the low end to highly specialised tasks like evaluating legal AI reasoning, assessing medical diagnosis accuracy, or providing nuanced feedback on creative content. The economic returns are correspondingly varied, but the social and economic significance of this workforce is not.
"We believe the people who train AI deserve more than gig-economy status. Our FlexiBench model is built around fair pay, skills development, and pathways to higher-value work."
Indika AI's Approach to Workforce Responsibility
Indika AI's FlexiBench platform provides access to over 70,000 pre-screened contributors — a network built with deliberate attention to workforce quality and contributor welfare. Unlike platforms that treat annotators as interchangeable commodities, Indika AI invests in screening, training, and skill development for its contributor network.
The company's domain-specialist model is central to this approach. By recruiting contributors with genuine expertise in fields like law, medicine, engineering, and linguistics, Indika AI creates pathways for skilled professionals — many of whom are underemployed in traditional sectors — to apply their knowledge in the AI industry at rates that reflect their expertise.
The Broader Challenge
The Economic Times investigation surfaces a tension at the heart of the AI industry: the same companies that publicly champion AI ethics and responsible development often rely on a supply chain of human labour that operates with limited transparency and accountability. Data annotation work is frequently subcontracted multiple times before it reaches the workers who actually perform it, making it difficult to enforce standards throughout the chain.
Regulatory attention to this issue is growing. India's emerging AI governance framework and international discussions around supply chain transparency in AI are beginning to surface the working conditions of data annotators as a legitimate ESG concern for technology companies.
About Indika AI
Indika AI is a data-centric AI company operating DataStudio, a programmatic data labelling platform, and FlexiBench, which provides access to 70,000+ pre-screened AI contributors. The company is committed to responsible workforce practices, fair compensation, and skills development for its contributor network.