Responsibilities

📍Draft AI decision trees & constraints (signal priority, risk guardrails, “do-not-infer” rules) 📍Maintain a living playbook for how AI should interpret different market data: funding/OI regimes, unlock calendars, liquidity pockets, whale flow, basis/futures dynamics 📍Design workflows & product components (portfolio viewer, OI/funding monitors, holders/flow dashboards, catalyst trackers, trading reports for hot tokens) 📍Write clear system guidelines for how the AI condenses, cites, and interprets market data 📍Create evaluation rubrics & task batteries to score AI outputs (accuracy, calibration, usefulness, abstentions) 📍Conduct user interviews, synthesize insights, and turn feedback into shippable changes 📍Instrument lightweight feedback (thumbs, rationale capture, “what should it have done?” prompts) and track weekly deltas 📍Collaborate with engineers on offline evals + online A/Bs; iterate based on data and user signals to improve AI system’s delivery of high-quality actionable financial insights

Required Qualifications

📍Currently enrolled in a university program (undergrad or grad); able to work part-time during the term 📍Strong grasp of crypto market structure (perps/funding, OI, liquidity/slippage, unlocks/emissions, staking/LST/LRT) 📍Ability to write tight specs & guidelines (decision criteria, do/don’t lists, evaluation metrics) 📍Comfort with crypto-native tools & UX (what traders actually use and expect) 📍Experience using Dune, Nansen, DefiLlama, TradingView, Dexscreener, and similar 📍Bias to ship, measure, iterate; excellent written communication; curiosity and integrity

The crypto industry is evolving rapidly, offering new opportunities in blockchain, web3, and remote crypto roles — don’t miss your chance to be part of it.