Annotation Qa Jobs in California (NOW HIRING)

Perform QA audits and review annotation quality for accuracy and consistency. * Configure and maintain annotation tools and task workflows. * Track annotation tasks, priorities, issues, and ...

Nice to Have • Experience mentoring or guiding junior team members or offshore teams. • Familiarity with annotation QA frameworks and error taxonomy design. • Experience building or improving ...

Annotation throughput, efficiency, and cost Quality metrics (QA pass rates, error types, rework ... Conduct QA/QC analysis on annotated data, identify systemic issues, and provide structured feedback ...

Annotation is core to how our models improve, and demand is growing fast. You will scale the ... Define and continuously raise the quality bar: rubrics, calibration, audit/QA loops, and quality ...

You will work across human annotation, automation, model outputs, QA, and customer impact. Responsibilities * Own annotation systems and workflows. Oversee and improve image and video annotation ...

You will work across human annotation, automation, model outputs, QA, and customer impact. Responsibilities * Own annotation systems and workflows. Oversee and improve image and video annotation ...

They are seeking a Senior Full-Stack Engineer to develop their 3D annotation QA tool, ensuring accuracy and reliability in 3D maps. Responsibilities : • Lead the development and enhancement of our ...

Maintain structured documentation of annotation processes, datasets, feature definitions, and QA results. * Support improvements to dataset pipelines and annotation workflows through iterative ...

Maintain structured documentation of annotation processes, datasets, feature definitions, and QA results. * Support improvements to dataset pipelines and annotation workflows through iterative ...

You will collaborate closely with algorithm engineers, machine learning researchers, QA, annotation teams, and cross-functional partners to shape evaluation strategy and improve the robustness ...

Utilize dashboards and reports to monitor annotation throughput, efficiency, and cost; quality metrics (QA pass rates, error types, rework); vendor and annotator performance trends. * Interpret ...

Own dataset quality. Curate, clean, version, and analyze large real world training datasets, including hard negative mining, annotation QA, data audits, and active learning workflows. * Improve model ...

We support our data collection, annotation and synthesis partners with defining quality standards ... You will also build and extend the team's QA tooling, including review interfaces, analysis ...

Own dataset quality. Curate, clean, version, and analyze large real world training datasets, including hard negative mining, annotation QA, data audits, and active learning workflows. * Improve model ...

Own dataset quality. Curate, clean, version, and analyze large real world training datasets, including hard negative mining, annotation QA, data audits, and active learning workflows. * Improve model ...

Own dataset quality. Curate, clean, version, and analyze large real world training datasets, including hard negative mining, annotation QA, data audits, and active learning workflows. * Improve model ...

The ideal candidate will have a foundational understanding of machine learning, data annotation, quality assurance, and natural language processing. They will play a pivotal role in updating our ...

Design labeling strategies and tooling for automated annotation, QA workflows, dataset management, augmentation, and versioning. * Implement monitoring and reliability frameworks, including ...

You will collaborate closely with algorithm engineers, machine learning researchers, QA, annotation teams, and cross-functional partners to shape evaluation strategy and improve the robustness ...

Previous experience in data annotation, QA, or testing * Interest in AI, machine learning, or emerging technologies What We Offer * Paid, flexible task-based work * Opportunity to work on innovative ...