Frontier Tech Data Labeling Jobs

data with high consistency.

Support in building and maintaining labelling interfaces in Label Studio when needed: configure new projects, refine layouts, and make annotation

…deployment of highly scalable auto- labeling pipelines that significantly improve data throughput and eliminate manual annotation bottlenecks.

Experience building scalable data processing pipelines using distributed frameworks like Google Data Flow or Apache Beam.

run ML models Evolve our data engine architecture to scale high-fidelity labels, reduce annotation costs, and accelerate ML iteration cycles

Core ML data lifecycle understanding: Practical knowledge of dataset curation, labeling pipelines, data quality control metrics, and baseline

Hire the next data scientists.

Hire the next data scientists.

features and labels.

TL;DR: We're looking for a Data Labeling Lead to build our annotation team from zero – setting quality standards, designing evaluation frameworks

Experience with human labeling, model graders, or fine-tuning. Good knowledge of experiment design and statistics.

models) to automate and enhance labeling, quality assurance, and data discovery Leverage software-in-the-loop and hardware-in-the-loop testing

data pipelines is a plus Familiarity with ML data workflows (datasets, labelling, evaluation) is a plus Experience running or integrating

Tackle hard data problems: Work on classification problems with extreme class imbalance, sparse signals, and “cold start” label challenges.