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Sr Program Manager – Ops
Company | Uber |
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Location | San Francisco, CA, USA |
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Salary | $152000 – $169000 |
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Type | Full-Time |
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Degrees | Bachelor’s |
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Experience Level | Senior |
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Requirements
- 5+ years experience managing scaled operations programs with 1+ year experience in GenAI / model training
- 1+ year experience leading, building and helping develop
- Experience working in a fast-paced, ambiguous work environment
- Experience with Data Labeling / Annotation
- Bachelor’s Degree obtained
- Strong knowledge of machine learning concepts, particularly around supervised learning and training data needs
- Experience working with data annotation platforms and tools
- Proven track record of managing large-scale projects with cross-functional teams and external vendors
Responsibilities
- Define the roadmap and key objectives for data labeling projects to support generative AI initiatives.
- Partner with stakeholders (Data Scientists, Machine Learning Engineers, and Product Managers) to identify data requirements and success criteria.
- Design scalable data labeling workflows that leverage internal tools, external vendors, and automation.
- Optimize workflows for efficiency, accuracy, and cost-effectiveness, incorporating active learning and pre-labeling techniques where appropriate.
- Engage and manage relationships with data labeling vendors, ensuring timely delivery and adherence to quality standards.
- Collaborate with cross-functional teams to align labeling efforts with broader AI model development timelines.
- Implement robust quality assurance processes to validate labeled datasets against gold standards.
- Use metrics such as inter-annotator agreement, precision/recall, and throughput to monitor quality and make improvements.
- Manage program budgets, including vendor costs and internal resources.
- Forecast resource requirements and ensure efficient allocation to meet deadlines.
- Ensure compliance with data privacy regulations (e.g., GDPR, CCPA) and ethical guidelines in dataset creation.
- Advocate for inclusive and unbiased labeling practices to mitigate bias in AI models.
Preferred Qualifications
- Experience in Generative AI, including text, image, or audio data labeling
- 1+ year people management experience
- Familiarity with active learning, semi-supervised labeling, and human-in-the-loop systems.
- Proficiency in data annotation tools and scripting languages (Python, SQL) to analyze datasets and processes
- Strong understanding of ethical AI and best practices for minimizing dataset bias.
- Excellent written and verbal communication skills, with the ability to influence technical and non-technical stakeholders
- Strong understanding of the gig economy landscape, freelancer behaviors, and recruitment strategies
- Excellent project management skills, with a proven ability to juggle multiple priorities and deadlines
- You are a builder who wants to be empowered to make big bets
- Demonstrated ability to work independently and effectively across internal and external organizations
- Ability to take initiative in a constantly-changing work environment
- Exceptional written and verbal communication, and organizational skills