Robotics Data Architect & Quality: Define Data Standards

Kindredventures; New York (NY); On-site; USD 100,000 - 130,000; Full time

Job summary

Kindredventures is seeking a Human Data Architect, Quality, to shape robotics training data standards. You will define quality metrics, ownership of taxonomies, and the structure for datasets across various modalities including video and sensors.

The successful candidate will work closely with customers to establish quality criteria and help iteratively improve datasets based on model performance. This role is pivotal in setting the groundwork for what constitutes good robotics training data.

If you have a strong backdrop in machine learning and a passion for data quality, this position may be for you.

Qualifications

• 5+ years in ML, annotation methodology, or dataset curation.
• Hands-on experience in designing taxonomies.
• Strong instincts for data quality.

Responsibilities

• Define labeling rubrics and quality criteria for customers.
• Own dataset organization and taxonomy structure.
• Iterate methodologies based on model signals.

Skills

ML and data intersection experience

Taxonomies and ontologies design

Data instincts in SQL or Python

Familiarity with ML papers

Job description

Kindredventures is seeking a Human Data Architect, Quality, to shape robotics training data standards. You will define quality metrics, ownership of taxonomies, and the structure for datasets across various modalities including video and sensors.

The successful candidate will work closely with customers to establish quality criteria and help iteratively improve datasets based on model performance. This role is pivotal in setting the groundwork for what constitutes good robotics training data.

If you have a strong backdrop in machine learning and a passion for data quality, this position may be for you.