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Manager, PGM Tech - Frontier Labs

Manager, PGM Tech - Frontier Labs

Uber

5 - 10 years

10 - 15 Lacs

hyderabad

Posted:1 day ago| Platform:

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Skills Required

frontier ai research project management data pipelines ai robotics object detection llm data collection research qa automation operations data science stakeholder management ai research data labeling communication skills ml

Work Mode

Work from Office

Job Type

Full Time

Job Description

About the Role

Program Manager

end-to-end execution

high-ambiguity, high-velocity environments

---- 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.

Stakeholder Management

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.

Operational Infrastructure

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.

Process Design & Automation

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 ----

Bachelors 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

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