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Turing is seeking a contractor to fine-tune LLMs for personal finance coaching, translating consumer finance principles into deterministic spreadsheet logic. You will evaluate AI outputs against professional financial coaching standards and set quality benchmarks for consumer-focused AI applications.
Responsibilities include designing guardrails, validating context files, and ensuring outputs meet budgeting and debt payoff modeling requirements.
Turing is one of the world’s fastest-growing AI companies, accelerating the advancement and deployment of powerful AI systems.
Turing helps customers in two ways: Working with the world’s leading AI labs to advance frontier model capabilities in thinking, reasoning, coding, agentic behavior, multimodality, multilinguality, STEM, and frontier knowledge; and leveraging that work to build real-world AI systems that solve mission-critical priorities for companies.
In this role, you will work on cutting-edge initiatives to fine-tune large language models by grounding consumer financial planning and household money management domain logic. Distinct from corporate finance, this practitioner role focuses on personal wealth management as financial coaches and planners practice it—spanning zero-based budgeting, debt payoff strategies, sinking funds, and net-worth tracking—along with the ability to translate consumer finance principles into deterministic spreadsheet logic. You will play a direct role in evaluating and refining AI-generated tools, ensuring outputs match professional financial planning standards.
In this role, you will serve as the personal finance and coaching expert setting the quality benchmark for consumer-focused AI applications. Your day-to-day responsibilities will include: