Uber - Program Manager II - Generative AI

About The Role :

Uber AI Solutions is one of Uber's biggest bets with the ambition to build one of the world's largest data foundries for AI applications and evolve into a platform of choice for a variety of online tasks.

Data Labelling operations is one of the core functional teams within Uber AI Solutions with the responsibility to oversee the end-to-end lifecycle of the data annotation programs for B2B clients.

At its core, our ability to build industry-leading data annotation programs is our right to win in this space.

As a seasoned program manager for data labeling in the Gen AI space, you will be responsible for defining the programs and its key objectives to support LLM model training.

You will drive cross-functional efforts across Operations, Product, Engg and Legal to define the Program-level Ops strategy, define scalable data labeling workflows leveraging internal tools, external vendors, and automation.

The role will also shape and lead Scaled Solutions task / product / feature launches and improvements by working closely with global Supply, product, and engineering teams.

You will be required to work with a geographically diverse team.

True to Uber values, we are looking for a leader with an owner" and go-get-it" mindset who is ready to scale a brand new business line.

You need to be customer-obsessed and build with heart" ? while demonstrating ability to build the vision as well as roll up the sleeves and get into action to see the forest and the trees".

If you're passionate about re-imagining the gig marketplace for skilled workers and impacting the lives of millions of skilled gig workers while working with a top-tier team, this is the opportunity for you.

What the you Will Do :

• Define the key objectives for data labeling projects to support generative AI initiatives.
• Partner with stakeholders (Account Executives, Data Scientists, Machine Learning Engineers, and Product Managers) to identify data requirements and success criteria.
• Represent Scaled Solutions in Customer meetings along with Account Executives.
• 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.
• Advocate for inclusive and unbiased labeling practices to mitigate bias in AI models.

Basic Qualifications :

Preferred Qualifications :

(ref : hirist.tech)