3 дня назад
Quality Specialist (Spatial AI)
45 000 - 65 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Quality Specialist (Spatial AI): Curating benchmark datasets, defining annotation standards, and auditing computer-vision data with an accent on ground-truth quality, annotator certification, and 2D/3D labeling. Focus on monitoring annotation drift, adjudicating edge cases in large video datasets, and building quality systems for passive inventory tracking.
Location: United States; remote
Salary: $45,000–$65,000 USD per year plus equity
Company
develops spatial computing solutions that use AI and wearable technology to convert physical retail spaces into dynamic digital environments with real-time 3D mapping and inventory data.
What you will do
- Curate and maintain golden datasets and ground-truth benchmarks for annotator certification, vendor scoring, and pipeline drift measurement.
- Create and update training materials and certification tests measuring annotation precision and speed.
- Evaluate annotators against benchmark data, monitor quality drift, and support QA metrics and scoring models.
- Conduct double-blind quality audits across computer-vision datasets.
- Handle critical production labeling needs as a high-trust annotator.
- Collaborate with Computer Vision and Data Operations teams to define and improve the quality pipeline.
Requirements
- 2+ years of experience in data annotation and quality assurance, including reviewing and calibrating other annotators’ work.
- Experience with Encord or an equivalent enterprise annotation platform such as CVAT, Labelbox, or SuperAnnotate.
- Experience with complex 2D and 3D annotation, including bounding boxes, polygons, and masks.
- Exceptional attention to detail and judgment when identifying and adjudicating out-of-stock products and edge cases in large video datasets.
- Strong verbal and written communication skills for documenting standards and justifying quality decisions.
- Ability to collaborate across global, cross-functional teams.
Nice to have
- Experience working with computer-vision datasets or spatial AI systems.
Culture & Benefits
- Remote-first work environment focused on transparency, speed, and precision.
- Opportunity to contribute to a venture-backed startup scaling globally.
- Medical, dental, and vision benefits.
- 401(k) benefits.
- Equity participation.
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