AI Tutor - Crypto · xAI

Sat, 18 Apr 2026 15:32:12 GMT
Engineering

xAI · Remote · $45/hour - $100/hour · remote

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.

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

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.

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: $25/hour - $75/hour depending on factors including relevant experience, skills, education, geographic location, and qualifications.