**About the Role**

Uber Scaled 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 Global Scaled Solutions (GSS) 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 Candidate Will Need / Bonus Points**

\-\-\-\- What the Candidate Will Do ----

01. Define the key objectives for data labeling projects to support generative AI initiatives
02. Partner with stakeholders (Account Executives, Data Scientists, Machine Learning Engineers, and Product Managers) to identify data requirements and success criteria
03. Represent Scaled Solutions in Customer meetings along with Account Executives
04. Design scalable data labeling workflows that leverage internal tools, external vendors, and automation
05. Optimize workflows for efficiency, accuracy, and cost-effectiveness, incorporating active learning and pre-labeling techniques where appropriate.
06. Engage and manage relationships with data labeling vendors, ensuring timely delivery and adherence to quality standards
07. Collaborate with cross-functional teams to align labeling efforts with broader AI model development timelines
08. Implement robust quality assurance processes to validate labeled datasets against gold standards
09. Use metrics such as inter-annotator agreement, precision/recall, and throughput to monitor quality and make improvements
10. Manage program budgets, including vendor costs and internal resources.
11. Forecast resource requirements and ensure efficient allocation to meet deadlines
12. Advocate for inclusive and unbiased labeling practices to mitigate bias in AI models

\-\-\-\- Basic Qualifications ----

1. 5+ years experience managing scaled operations programs with 1+ year experience in GenAI / model training
2. Experience working in a fast-paced, ambiguous work environment
3. Strong knowledge of machine learning concepts and model training data needs
4. Experience working with data annotation platforms and tools.
5. Proven track record of managing large-scale projects with cross-functional teams and external vendors

\-\-\-\- Preferred Qualifications ----

01. Experience in Generative AI, including text, image, video or audio data labeling
02. Familiarity with human-in-the-loop systems
03. Proficiency in data annotation tools and scripting languages to analyze datasets and processes
04. Strong understanding of ethical AI and best practices for minimizing dataset bias.
05. Excellent written and verbal communication skills, with the ability to influence technical and non-technical stakeholders
06. Strong understanding of the gig economy landscape, freelancer behaviors, and recruitment strategies
07. Excellent project management skills, with a proven ability to juggle multiple priorities and deadlines
08. You are a builder who wants to be empowered to make big bets
09. Demonstrated ability to work independently and effectively across internal and external organizations
10. Ability to take initiative in a constantly-changing work environment
11. Exceptional written and verbal communication, and organizational skills

Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuelds progress. What moves us, moves the world - let’s move it forward, together.

Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.

\*Accommodations may be available based on religious and/or medical conditions, or as required by applicable law. To request an accommodation, please reach out to [accommodations@uber.com](mailto:accommodations@uber.com).