AI Tutor - Crypto

About xAI xAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates. ABOUT THE ROLE: As a Crypto Expert, you will be vital in enhancing xAI's frontier AI models by supplying high-quality annotations, evaluations, and expert reasoning using proprietary labeling tools. You will work closely with technical teams to support the creation and refinement of new AI tasks, focusing especially on cryptocurrency and digital asset markets. Your deep domain knowledge will guide the selection and rigorous solving of complex problems in quantitative crypto strategies — including on-chain analysis, DeFi protocols, perpetual futures & derivatives trading, cross-exchange arbitrage, market microstructure in fragmented venues, MEV-aware execution, machine learning for crypto alpha signals, and portfolio/risk management in high-volatility 24/7 markets. This role demands sharp quantitative thinking, quick adaptation to evolving instructions, and the ability to deliver precise, technically robust critiques and solutions in a dynamic environment. As a Crypto Expert, you will contribute directly to xAI's mission by training and refining our advanced AI models. You will teach the models how crypto quantitative traders analyze blockchain data, model tokenomics, evaluate on-chain flows, manage extreme volatility, exploit inefficiencies across centralized and decentralized venues, and reason through novel digital asset paradigms. This includes generating high-quality data in text, voice, and video formats: detailed annotations, model output critiques, step-by-step reasoning traces, audio explanations of strategies, and occasional structured video sessions. We seek enthusiastic participants in these core data-generation activities to push forward xAI’s goals in scientific discovery and real-world complex system reasoning. Crypto Experts deliver labeling, annotation, evaluation, and expert reasoning across text, voice, and video modalities to fuel model training and benchmarking. Tasks may involve recording audio breakdowns, participating in video-based reasoning exercises, or producing detailed quantitative/crypto analysis traces — all essential to xAI’s mission. All work products are considered work-for-hire and owned by xAI. RESPONSIBILITIES: Utilize proprietary software to deliver accurate labels, rankings, critiques, and in-depth solutions on assigned projects Consistently produce high-quality, curated data adhering to rigorous technical and domain standards Partner with engineers and researchers to iterate on new training tasks, evaluation frameworks, and crypto-specific benchmarks Offer actionable feedback to enhance the efficiency, accuracy, and usability of annotation and data-collection interfaces Identify and solve challenging problems from crypto & digital asset domains where you have strong expertise — examples include: On-chain metrics analysis and wallet/flow clustering for alpha generation DeFi yield farming, liquidity provision, and impermanent loss modeling Cross-exchange / CEX-DEX arbitrage and triangular opportunities Perpetual futures funding rate strategies and basis trading Market microstructure in crypto order books (fragmented liquidity, MEV, sandwich attacks) Machine learning models for price prediction, sentiment from social/on-chain, volatility forecasting Tokenomics evaluation, airdrop/IDO quantitative assessment, and risk premia in altcoins Portfolio optimization and risk management in 24/7 high-volatility environments Provide rigorous critiques of model outputs, alternative quantitative approaches, mathematical derivations, code snippets, and step-by-step crypto reasoning Efficiently interpret, analyze, and complete tasks based on detailed (and evolving) guidelines BASIC QUALIFICATIONS: Master’s or PhD in a quantitative discipline: Quantitative Finance, Financial Engineering, Computer Science (with crypto/blockchain focus), Statistics, Applied Mathematics, Economics (quantitative), Physics, Operations Research, Data Science, or closely related field or equivalent professional experience as a quantitative crypto trader, systematic strategist, or on-chain analyst Superior written and verbal English communication (technical papers, explanatory breakdowns, professional correspondence) Extensive hands-on familiarity with crypto data sources and tools (CoinGecko, CoinMarketCap, Dune Analytics, Glassnode, Nansen, Chainalysis, Messari, DefiLlama, The Graph, blockchain explorers, CEX APIs, on-chain datasets, etc.) Outstanding analytical skills, attention to detail, and sound judgment under partial information Strong passion for cryptocurrency markets, blockchain technology, decentralized finance, quantitative methods, and frontier AI applications in digital assets PREFERRED SKILLS AND EXPERIENCE: Professional experience in quantitative crypto trading, systematic strategies, or on-chain research at a crypto hedge fund, prop desk, market-making firm, DeFi protocol, or digital asset investment firm Publications or public analyses in crypto quant topics (e.g., journals, conferences, reputable blogs, GitHub repos with notable traction) Teaching, mentoring, or content-creation experience in crypto/quant finance (university, bootcamps, Twitter threads, newsletters) Proficiency in Python for crypto analysis (pandas, NumPy, ccxt, web3.py, etherscan APIs, polars, scikit-learn, PyTorch/TensorFlow for ML models, etc.) and/or Rust/Solidity familiarity Experience with backtesting crypto strategies, handling tick-level or on-chain data, managing API rate limits, and dealing with 24/7 market quirks Knowledge of MEV, flash loans, oracle manipulation risks, liquidation cascades, or other crypto-native phenomena CFA, FRM, CQF, or blockchain-specific certifications (e.g., Certified Blockchain Expert) Prior involvement with LLMs, reinforcement learning, or AI evaluation in financial/crypto contexts (strong plus) LOCATION AND OTHER EXPECTATIONS: Tutor roles may be offered as full-time, part-time, or contractor positions, depending on role needs and candidate fit. For contractor positions, hours will vary widely based on project scope and contractor availability, with no fixed commitments required. On average most projects may involve at least 10 hours per week to achieve deliverables effectively though this is not a fixed commitment and depends on the scope of work. Contractors have full flexibility to set their own hours and determine the exact amount of time needed to complete deliverables. Tutor roles may be performed remotely from any location worldwide, subject to legal eligibility, time-zone compatibility, and role specific needs. For US based candidates, please note we are unable to hire in the states of Wyoming and Illinois at this time. We are unable to provide visa sponsorship. For those who will be working from a personal device, your computer must be a Chromebook, Mac with MacOS 11.0 or later, or Windows 10 or later. COMPENSATION AND BENEFITS: US based candidates: $45/hour - $100/hour depending on factors including relevant experience, skills, education, geographic location, and qualifications. International candidates: Information will be provided to you during the recruitment process. Benefits vary based on employment type, location and jurisdiction. Benefits for eligible U.S. based positions include health insurance, 401(k) plan, and paid sick leave. Specific details and role specific information will be provided to you during the interview process. xAI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice.