Note: The job is a remote job and is open to candidates in USA. Uber AI Solutions is reimagining how the world interacts with technology by providing high-performing Generative AI models. They are seeking a Freelance Program Manager to lead end-to-end program management for financial AI operations, ensuring the creation of quality frameworks and guiding financial model refinement.
Responsibilities
- 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
- Design, draft, and refine highly detailed Supervised Fine-Tuning (SFT) instruction sets, prompt guidelines, and gold-standard response templates for complex financial datasets
- Build and enforce comprehensive quality frameworks and evaluation (Evals) matrices to benchmark model output clarity, regulatory compliance, risk parameters, and mathematical accuracy
- Explain complex machine learning annotation tasks, edge-case evaluations, and reinforcement criteria directly to finance specialists, bridging the technical gap for non-technical experts
- 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
Skills
- 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
- Strong foundational understanding of corporate accounting, financial analysis, investment modeling, or audit protocols. Ability to synthesize complex financial regulatory requirements into structured AI rules
- Exceptional ability to write scalable, unambiguous guidelines and instruction booklets for domain experts handling high-risk, sensitive, or deeply analytical datasets
- Experience managing agile, fast-paced data projects, keeping track of task queues, error rates, throughput speed, and data pipeline health
- Strong interpersonal skills to effectively onboard, guide, and provide calibration feedback to distributed finance professionals participating in AI-training tasks
- Experience managing operations within high-growth, entrepreneurial AI data platforms or enterprise human-in-the-loop network
- 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
Company Overview