Data Labeling Jobs

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

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

assurance, and data discovery Evolve our data engine architecture to scale high-fidelity labels, reduce annotation costs, and accelerate ML iteration

Comfort with data tooling — SQL, C++, Python, QGIS, or similar — for pulling reports, querying map data, and building dashboards.

…a repeatable, auditable pipeline from data to deployed model.

…distributed systems that transform real-world data into simulation environments and generate high-quality labeled data at scale, where careful

Own the requirements for perception data pipelines including collection, labeling, and the feedback loop from field deployments.

Design the data strategy for a new deployment: what to collect, how much, and how to label it, to get a model production-ready Make

…high-fidelity, physically accurate simulated sensor data

, data mining, ground-truth generation, and evaluation.

…into well-formed, tracked tickets; maintain labels

Experience with developer platforms, MLOps, data labeling, or test/observability tools.

efficient dataset discovery, labeling workflows, and quality assessment across diverse driving conditions Build high-performance data processing

…actions, or other multimodal time-series data.