Elon Musk’s artificial intelligence company xAI is seeking a crypto specialist to help train its AI systems on digital asset markets.
According to a recently posted job listing, the company is hiring a remote “Finance Expert – Crypto” to teach xAI’s models how professional traders analyze on-chain data, assess token economics, and manage risk in highly volatile, always-on crypto markets.
The role involves generating high-quality training data across text, voice, and video formats, including detailed annotations, critiques of model outputs, step-by-step reasoning traces, audio explanations of trading strategies, and occasional structured video sessions.
The crypto expert would also be responsible for identifying and tackling complex challenges in digital asset markets, such as market microstructure issues, fragmented liquidity, and miner extractable value (MEV)-related execution risks.
Growing AI–crypto convergence
Commenting on the job listing, Sumit Gupta, co-founder and CEO of Indian crypto exchange CoinDCX, said the role highlights the growing convergence between artificial intelligence and crypto.
“X is already the No. 1 place where Crypto Twitter hangs out. Does Elon Musk want to make xAI and Grok the No. 1 research platform for crypto as well?” Gupta wrote in a post on X.
The position is fully remote and offers hourly pay ranging from $45 to $100, depending on experience and location.
In November, Musk said X is preparing to launch a standalone encrypted messaging app, called X Chat, in the coming months, positioning it as a competitor to Telegram and WhatsApp. Speaking on The Joe Rogan Experience, Musk said the app would use peer-to-peer encryption similar to Bitcoin (BTC).
X prepares to roll out “Smart Cashtags”
Last month, X’s head of product Nikita Bier revealed plans to introduce a new “Smart Cashtags” feature, which will display real-time price data for cryptocurrencies and stocks, alongside relevant news and on-platform discussions.
The feature will also surface smart contract details for crypto tokens and highlight recent mentions tied to companies, teams, and broader market narratives.
