Manager, PgM Tech - Frontier Labs
- Uber
- 5 - 10 years
- Hyderabad
- 3 months ago
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Job Description
We are looking for a driven and detail-oriented L5B Program Manager to join our Frontier Labs AI team , focused on building high-quality, multi-modal data pipelines to support advanced model development and foundational research.
In this role, you will lead the end-to-end execution of AI data labeling workflows across text, image, audio, video, and instruction-tuned datasets , partnering closely with researchers, data scientists, product managers, and annotation vendors. You will play a critical role in scaling and operationalising labeling operations , ensuring that the data used to train and evaluate cutting-edge models is accurate, diverse, and aligned with evolving research needs.
This is a hands-on role for someone who thrives in high-ambiguity, high-velocity environments and can bring structure and discipline to rapidly evolving labeling workflows
What You Will Do
Program Execution Delivery - Manage AI data labeling programs from scoping to delivery , ensuring high-quality annotations at scale.
- Translate Frontier Labs research needs into concrete annotation specs, rubrics, and task designs.
- Own timelines, throughput plans, and quality controls for critical datasets used in LLM training and evaluation.
- Partner with researchers, data scientists, product, and ops to ensure labeling goals are aligned with model objectives.
- Work cross-functionally to drive task clarity, resolve ambiguity, and incorporate feedback into successive batches.
- Act as the single-threaded owner for specific labeling programs, managing internal and external partners.
- Develop and refine batching strategies , smart sampling plans , and audit workflows .
- Drive QA processes , including golden set calibration, rubric refinement, and disagreement adjudication.
- Ensure traceability from raw inputs to final labeled outputs , and track quality regressions over time.
- Identify opportunities to apply model-in-the-loop labeling , active learning , or self-checking pipelines .
- Collaborate with tool owners and engineers to integrate annotation workflows with internal tooling systems.
- Own feedback loops that enable raters to improve over time and reduce error variance
What You Will Need
Bachelor s degree in Engineering, Data Science, Linguistics, or related technical/analytical field.
5+ years of program or project management experience in AI/ML, data ops, or labeling infrastructure.
Demonstrated ability to manage end-to-end data pipelines in AI/ML or research environments.
Strong working knowledge of Robotics, Physical AI Data labeling tasks , such as:
- Object detection and recognition
- Semantic Instance Segmentation
- Depth Pose Estimation
- Grasp Detection
- Action Segmentation
- Trajectory Labeling
- Prompt-response evaluation
- Instruction tuning
- Dialogue evaluation
- Vision-language QA
- Video slot tagging
- Image Tagging
- Documentation Extraction
- Data collection annotation
- HRI
Experience collaborating with research or model teams to scope data collection requirements.
Excellent written and verbal communication skills
Preferred Qualifications ----
- Experience in frontier AI research environments , such as foundation model labs or GenAI startups.
- Familiarity with tools like Label Studio, Scale AI, SuperAnnotate, Snorkel Flow, or in-house annotation platforms .
- Understanding of LLM training and evaluation lifecycles.
- Experience working with human-in-the-loop systems or model-assisted labeling pipelines.
- Familiarity with multilingual or multi-cultural annotation programs
Job Classification
Industry: Urban TransportFunctional Area / Department: Healthcare & Life SciencesRole Category: Imaging & DiagnosticsRole: Diagnostic Molecular ScientistEmployement Type: Full timeContact Details:
Company: UberLocation(s): Hyderabad+ View Contact
Keyskills: Process design Automation Project management Analytical Data collection Research Stakeholder management Operations Robotics Auditing
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