Freelance Finance Program Manager

Freelance Program Manager 

Location: Remote (United States) 

Position Type: Freelance Engagement / Part time work (35 hours a week - 7 hours a day)

About the Role

At Uber AI Solutions, we are reimagining how the world interacts with technology by providing high-performing Generative AI models with precision data labeling, testing, and alignment. Everything we do revolves around our core infrastructure—including our uTask task-orchestration platform—to ensure the highest standards of data excellence, human-in-the-loop validation, and strategic quality frameworks.

We are seeking a highly skilled Finance Program Manager / Coordinator with specialized expertise in Generative AI development pipelines. In this dual-impact role, you will lead end-to-end program management for our financial AI operations, acting as the critical translation layer between complex technical AI requirements and internal finance domain experts. You will directly own the creation of quality frameworks, evaluations (Evals), and Supervised Fine-Tuning (SFT) instructions that guide financial model refinement, ensuring our systems learn to interpret, audit, and generate institutional-grade financial content safely and accurately.

What You’ll Do

• Program Management & Task Orchestration: Formulate operational plans, track milestones, and manage task workflows using Uber AI Solutions platforms (including uTask). Drive the end-to-end data lifecycle for financial AI initiatives.
• Instruction Engineering (SFT & Prompts): Design, draft, and refine highly detailed Supervised Fine-Tuning (SFT) instruction sets, prompt guidelines, and gold-standard response templates for complex financial datasets.
• Framework Development & Evals: Build and enforce comprehensive quality frameworks and evaluation (Evals) matrices to benchmark model output clarity, regulatory compliance, risk parameters, and mathematical accuracy.
• Cross-Functional Coordination: Explain complex machine learning annotation tasks, edge-case evaluations, and reinforcement criteria directly to finance specialists, bridging the technical gap for non-technical experts.
• Workflow Optimization: Configure and manage automated multi-turn review models, such as consensus alignments, edit-reviews, and sample quality audits to guarantee the integrity of human-in-the-loop training data.

Required Competencies & Experience

• GenAI Expertise (SFT & Evals): Proven track record working directly on Generative AI data preparation, specifically focused on crafting instructions for Supervised Fine-Tuning (SFT), benchmarking evaluation datasets (Evals), and setting up LLM performance metrics.
• Financial Domain Competency: Strong foundational understanding of corporate accounting, financial analysis, investment modeling, or audit protocols. Ability to synthesize complex financial regulatory requirements into structured AI rules.
• Instruction Engineering Rigor: Exceptional ability to write scalable, unambiguous guidelines and instruction booklets for domain experts handling high-risk, sensitive, or deeply analytical datasets.
• Program Management Capability: Experience managing agile, fast-paced data projects, keeping track of task queues, error rates, throughput speed, and data pipeline health.
• Communication & Training Skills: Strong interpersonal skills to effectively onboard, guide, and provide calibration feedback to distributed finance professionals participating in AI-training tasks.

Preferred Qualifications

• Experience managing operations within high-growth, entrepreneurial AI data platforms or enterprise human-in-the-loop networks.
• Advanced degree or professional credentialing in Finance, Accounting, Computational Finance, or an AI/Data-related field.
• Technical familiarity with data orchestration pipelines, programmatic data exchanges, or structured content validation platforms