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xAI has opened a remote ‘Finance Expert – Crypto’ role to train its artificial intelligence (AI) models on how digital asset markets function. The announcement describes the work as expert data creation, with candidates producing annotations, evaluations, and structured reasoning for model training.
The job description lists tasks tied to real-world trading behavior across centralized and decentralized venues. It emphasizes on-chain analysis, derivatives, market structure, and risk management in 24/7 markets.
The listing says the specialist will use internal labeling tools to deliver high-quality annotations, evaluations, and expert reasoning. It also outlines ongoing collaboration with technical teams to refine tasks and build crypto-specific evaluation methods.
Responsibilities include critiquing model outputs and providing alternative quantitative approaches, step-by-step reasoning, and occasional code snippets. The scope highlights on-chain metrics and wallet or flow clustering, decentralized finance (DeFi) yield strategies, and perpetual futures funding-rate and basis trades.
The post lists a US hourly pay range of $45 to $100 and notes the company can share localized ranges for international candidates. It also describes the work as ‘work-for-hire,’ meaning outputs belong to the company.
The job description highlights market microstructure topics such as fragmented liquidity, miner/maximal extractable value (MEV), and sandwich attacks. It also calls out cross-exchange and CEX–DEX arbitrage.
The role focuses on how professionals reason under uncertainty rather than asking for simple price calls. The posting says experts will teach models how traders interpret blockchain flows, evaluate tokenomics, and manage volatility while navigating different venues.
The qualifications section also signals a data-heavy approach. It lists crypto analytics platforms such as Dune Analytics, Glassnode, Nansen, and DefiLlama, alongside other data sources and exchange application programming interfaces (APIs).
The role indicates that xAI is adding domain specialists as it expands model training beyond general-purpose tasks. The job description centers on expert-labeled data and evaluation, which points to a focus on improving financial reasoning in complex markets.
The job opening also suggests xAI wants models to explain decisions in a way that can be reviewed and tested. It describes work that includes structured reasoning traces, evaluations, and clear critiques of model outputs.
Additionally, the announcement notes that some assignments may include audio or video explanations using internal tools. This suggests the company aims to train models across multiple formats, not only written outputs.
Also Read: How to Make Crypto Trading Safer with Stablecoins: Beginner’s Guide
