Weak supervision and labelling functions expertise
The role focuses on designing end-to-end automated labeling systems to reduce reliance on manual annotation through techniques like Active Learning and Synthetic Data Generation
Job Summary
The role focuses on designing end-to-end automated labeling systems to reduce reliance on manual annotation through techniques like Active Learning and Synthetic Data Generation.
Candidates will bridge the gap between raw data collection and model-ready datasets by building Human-in-the-Loop workflows where models pre-label data for human review.
This position requires collaboration with global engineering teams and external partners to ensure high-quality labels at scale while optimizing data preparation infrastructure.
Matching Summary
The role focuses on designing end-to-end automated labeling systems to reduce reliance on manual annotation through techniques like Active Learning and Synthetic Data Generation.
Skills & Requirements
Must-have
Python proficiency with PyTorch or TensorFlow
Experience with Active Learning strategies
Weak Supervision and labelling functions expertise