Remote Data Tagging Specialist — AI Data Quality

Remote; San Francisco (CA); Remote; USD 28,000 - 41,000; Full time

Job summary

RYZ Labs is seeking a Data Tagging Specialist to prepare data for machine learning models by accurately tagging and categorizing data points. You will work with autonomous teams across the US and Latam, contributing to scalable AI solutions.

The role emphasizes attention to detail, ability to manage large datasets, and collaboration with data scientists to meet tagging requirements, with remote work across regions.

Qualifications

• Candidates should have strong attention to detail and ability to work with large datasets.
• Familiarity with data management and machine learning principles.
• Ability to work independently and manage time effectively.
• Experience in data tagging or related roles is a plus.

Responsibilities

• Review and categorize data to ensure accuracy and consistency.
• Collaborate with data scientists and ML engineers to understand tagging requirements.
• Verify data quality and provide feedback for continuous improvement.
• Maintain documentation of tagging protocols and guidelines.

Skills

Attention to detail

Data management

Time management

Experience in data tagging

Job description

RYZ Labs is seeking a Data Tagging Specialist to prepare data for machine learning models by accurately tagging and categorizing data points. You will work with autonomous teams across the US and Latam, contributing to scalable AI solutions.

The role emphasizes attention to detail, ability to manage large datasets, and collaboration with data scientists to meet tagging requirements, with remote work across regions.