Expert - Government & Public Policy

Halluminate is an applied AI and data company working with frontier labs to train financial services and knowledge work superintelligence. We build high-quality computer-use and tool-use reinforcement learning (RL) environments that train AI agents to do real work across financial services verticals and adjacent domains.

Halluminate is hiring part-time Government & Public Policy Subject Matter Experts (SMEs).

Frontier AI models can already build a clean budget model, run a standard variance analysis, and reconcile a simple ledger. We need experts who can push them further. In this role you'll design work that would challenge a strong senior analyst or controller, with multi-step reasoning, messy inputs, and the correct judgment calls where the right answer isn't obvious, then use it to expose where today's best AI models still fail.

Your work feeds directly into the training data and frontier evaluations that leading AI labs use to measure and improve their models.

Your day-to-day in this role is RL environment task development and writing (i.e., creating the complex problem and solution that the AI agents must attempt to solve), not data labeling AI outputs based on your preferences or something less challenging.

• Shape the future of knowledge work by identifying which financial workflows matter most and where today's AI models fall short, drawing on your real experience
• Build training materials for AI systems, including fiscal impact analyses, cost-benefit and regulatory impact assessments, policy memos, and other real-world deliverables
• Create challenging tasks that expose weaknesses in state-of-the-art AI models on financial services work
• Contribute to frontier evaluations that measure how leading AI models perform on real finance workflows
• Work directly with research and engineering teams at frontier labs to evaluate model outputs and turn findings into better training data
• Revise tasks quickly based on feedback from reviewers and model results, often across multiple rounds

• 1.5+ years of experience working in government or public policy (federal, state, or local agencies, budget offices, legislative staff, think tanks, public sector consulting)
• Exceptional command of core workflows in Excel, PowerPoint, and other professional software programs (budget and fiscal models, cost-benefit analysis, policy briefs, briefing decks)
• Curiosity about machine learning, AI, data, and engineering concepts. No technical background required.
• Comfort with direct, frequent feedback and the ability to turn it around quickly without losing quality
• Sharp attention to detail and the judgment to spot exactly where an output would fail a senior review
• Strong organization and full ownership of deadlines

• Fully Remote (United States only)

• Part-time: minimum of 20 hours per week
• You choose when to work

• Training milestone payments between $500-$4000
• Implied hourly rate: $100/hour - $200/hour
• Bonuses paid out for above average performance or stellar contributors

Halluminate builds the highest quality, most complex training environments and benchmarks that leading AI labs rely on to push their most capable models forward. Our expert researchers lead that work. They design the problems, set the standards models are measured against, and uncover where frontier AI still falls short. Where other competitors may focus on data labeling / annotation, our experts are challenged to identify weak points in frontier labs models to accelerate AI capabilities in finance.

• Market leading compensation. Our experts earn among the highest rates in the industry, with median earnings of $3,800 in September and our top 25% averaging over…