Senior Retail Trading Analyst – Prediction Markets

About the Role

What if your edge as a trader could directly influence how AI understands markets, risk, and investor behavior? We're looking for experienced market participants to help train cutting-edge AI systems that interpret retail trading patterns, crowd sentiment, and probabilistic market signals.

This is a fully remote, flexible contract role built for people who live and breathe markets — traders, prediction market enthusiasts, and financially-savvy analysts who can think clearly about uncertainty and communicate their reasoning with precision.

• Organization: Alignerr
• Type: Hourly Contract
• Location: Remote
• Commitment: Flexible hours

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What You'll Do

• Evaluate real-world market events and assign well-reasoned probability estimates.
• Analyze how retail investors respond to catalysts, volatility, macro shifts, and sentiment changes.
• Interpret prediction-market signals across equities, crypto, macro, and global news.
• Review and label trading-related datasets with structured, consistent reasoning.
• Assess crowd behavior and identify patterns in retail trading flows.
• Provide clear written rationale grounded in current news, price action, and investor psychology.

Who You Are

• An active or recent market participant — you follow markets closely and trade or invest regularly.
• Comfortable thinking in probabilities and assessing event outcomes under uncertainty.
• Familiar with prediction markets, trading platforms, or retail investor behavior.
• Up to date on financial, macro, and geopolitical developments that move markets.
• Strong written communicator — you can explain your reasoning clearly and concisely.
• Detail-oriented and consistent when working through structured analytical tasks.
• Self-motivated and reliable when working independently and asynchronously.

Nice to Have

• Experience with platforms like Kalshi, Polymarket, PredictIt, or similar prediction markets.
• Background in retail brokerage, financial analysis, or market research.
• Familiarity with technical analysis, options flow, or sentiment indicators.
• Knowledge of behavioral finance or investor psychology.
• Prior experience in data labeling, annotation, or AI training workflows.

Why Join Us

• Work on frontier AI research at the intersection of finance, forecasting, and machine learning.
• Fully remote and asynchronous — work on your own schedule, from anywhere.
• Freelance autonomy with the structure of meaningful, high-impact work.
• Apply real market knowledge to a domain where your expertise genuinely matters.
• Potential for ongoing work and contract extension as new projects launch.