Description
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.
Crypto Expert’s Role in Advancing xAI’s Mission
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.
Scope
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
Key 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 Qualifications
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 & Other Expectations
This position is based fully remote.
If you are based in the US, please note we are unable to hire in the states of Wyoming and Illinois at this time.
We are unable to provide visa sponsorship.
Team members are expected to work from 9:00am - 5:30pm PST for the first two weeks of training and 9:00am - 5:30pm in their own timezone thereafter.
For those who will be working from a personal device, please note your computer must be a Chromebook, Mac with MacOS 11.0 or later, or Windows 10 or later.
Compensation
$45/hour - $100/hour
The posted pay range is intended for U.S.-based candidates and depends on factors including relevant experience, skills, education, geographic location, and qualifications. For international candidates, our recruiting team can provide an estimated pay range for your location.
Benefits:
Hourly pay is just one part of our total rewards package at xAI. Specific benefits vary by country, depending on your country of residence you may have access to medical benefits. We do not offer benefits for part-time roles.