• Review benchmarks: Assess a new benchmark at least every two weeks. You’ll evaluate their methodology and what a 'good performance' would imply about AI capabilities. • Publish and maintain reports: Write up public-facing reports on new benchmarks and periodically update them as new versions release and models make progress. • Dig into data: Examine individual tasks within benchmarks in detail, using coding agents to assist while retaining your own critical oversight.

• Own end-to-end options strategy research: hypothesis → data → modeling → backtesting → production → live monitoring and iteration • Work on Relative Value, Statistical Arbitrage, and Spread Trading strategies specific to the options universe (the stack above) • Build and own the volatility fitter the signals sit on – calibrating arbitrage-free, temporally stable surfaces (SVI/SSVI or a proposed alternative) on realistic data (wide bid/ask, missing strikes, gaps, latency), with attention to residual noise near expiry / illiquid strikes / events • Translate strategy output into execution – routing a target delta-order across option legs to minimize Greek risk, with inventory-aware quoting that shifts price/size against live vega/gamma/skew, and awareness of options microstructure (spreads, queue, adverse selection, latency) • Build and maintain mid-frequency (MFT), fully automated strategies with a strong live-performance focus • Track record of deploying fully automated strategies with Sharpe > 2 (or demonstrable equivalent risk-adjusted performance) • Design robust signal research pipelines (feature engineering, labeling, validation, regime analysis) • Develop realistic backtests and live-simulation frameworks accounting for slippage, spreads, latency, partial fills, and market impact • Work in tight feedback loops with trading and execution to improve PnL, robustness, and risk-adjusted performance • Debug and tune research outputs under live conditions: data issues, execution artifacts, microstructure noise, and changing market regimes

• Conduct in-depth research on Mantle, its ecosystem partners, and broader crypto, AI, and financial markets • Identify emerging trends early and translate them into actionable insights • Produce narrative-driven research tailored for crypto-native audiences • Represent Mantle at industry events and convert interactions into relationships • Leverage networks across crypto, AI, and developer ecosystems to expand presence

• Support projects related to the education of students with disabilities, with emphasis on state education agencies and special education systems-level work. • Assist with reviewing, synthesizing, and organizing research, policy, guidance, and other resources relevant to special education leadership and improvement efforts. • Contribute to the development of tools, materials, presentations, briefs, and other products for internal and external audiences. • Participate in team meetings, professional learning opportunities, and mentorship activities with leaders in special education and related fields. • Help analyze problems of practice and identify evidence-based strategies that support improved services, systems, and outcomes for children and youth with disabilities. • Collaborate with project staff to complete assigned tasks, monitor timelines, and communicate progress on internship activities. • Complete a culminating project aligned with the priorities of NCSI. • Perform other related duties in support of learning goals and organizational needs.