AI startup Mercor is offering cricket fans in India a chance to earn money by evaluating artificial intelligence assistants during live international T20 matches, as sports knowledge becomes part of the human feedback used to improve AI products.
According to Mercor’s job listing, the remote, contract-based role pays US$20 per task, with each assignment expected to take around two to two-and-a-half hours. This differs from the approximately ₹1,900 per hour figure reported by Bussiness, as the listed payment is task-based rather than hourly.
Selected candidates are required to follow live India T20 internationals and ask AI assistants questions that cricket fans would typically raise during a match. These include queries about live scores, win probabilities, player and team statistics, cricket rules, powerplays, the Duckworth-Lewis-Stern method, match schedules, and broadcasts.
The role also involves comparing two AI products by asking them identical questions, either as single prompts or in conversations spanning two to 10 turns. Evaluators must assess the responses for factual accuracy, helpfulness, and presentation, capture screenshots and shareable conversation links, and provide written explanations of which product performed better.
The work is designed to help improve how AI systems interpret cricket-specific information and respond to fans seeking live updates and analysis. It requires strong cricket knowledge, written English, attention to detail, and familiarity with AI chat assistants and web search. Applicants must be based in India and have at least one year of professional work experience.
Mercor’s listing identifies India’s T20 international against the West Indies on October 9 as one of the scheduled match windows, with another assignment linked to India’s match against Sri Lanka on December 22. The listing currently states that applications are not being accepted.
The opportunity reflects a growing use of human evaluation in AI development, where people with subject knowledge assess whether AI-generated answers are accurate, relevant, and well presented. In this case, following a cricket match becomes part of a structured evaluation process rather than passive viewing.
For cricket fans, the role offers a way to apply their understanding of the game to technology development, although the work is event-based and does not represent a guaranteed, ongoing income opportunity.