Data Annotator
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Annotator with a contract length of "unknown" and a pay rate of "unknown." It requires remote work in the US (PST preferred), expertise in SQL, data integrity, and experience with external vendors. A Bachelor's degree is mandatory.
🌎 - Country
United States
💱 - Currency
$ USD
💰 - Day rate
Unknown
Unknown
200
🗓️ - Date discovered
April 26, 2025
🕒 - Project duration
Unknown
🏝️ - Location type
Remote
📄 - Contract type
Unknown
🔒 - Security clearance
Unknown
📍 - Location detailed
United States
🧠 - Skills detailed
#Documentation #SQL (Structured Query Language) #Scala #Python #Tableau #Snowflake #Data Integrity #AI (Artificial Intelligence)
Role description
Job Title: Data Labeling Analyst III
Location: Remote US (PST Preferred)
Must-Have Skills
Annotation and Data QA’ing images/responses generated by AI.
SQL (pull/create/analyze queries)
Data Integrity/QA Background
Experience working with external Vendors/Cross Functional teams to drive Project Completion
Nice-to-have Skills
Other Data tools such as Python, Snowflake, Tableau etc.
Summary
The Data Labeling Analyst will contribute to large projects and leverage analytical skills to help deliver lasting impact on our client products. If you thrive in ambiguous environments and love finding areas for improvement, you’ve come to the right place.
The main function of a DLA is to support and improve the quality of our labeling programs. DLAs support our project managers and partner with our global vendors to ensure all operational metrics meet targets. DLAs are expected to become Subject Matter Experts on labeling workflows and help deliver lasting impact for the product teams we support.
Responsibilities
Become a subject matter expert in labeling workflows and labeling guidelines, practicing labeling in assigned queues to stay close to the workflow.
Maintain relationships with vendor partners. Attend weekly business reviews and product team meetings and contribute to meetings regarding quality and/or technical barriers.
Perform quality audits to provide labeling metrics and insights, support policy guideline updates, and recommend optimization opportunities across the labeling programs.
Help vendors unblock obstacles by sharing data and escalating bugs and tooling issues to correct engineering teams with necessary documentation.
Understand and help incorporate changes shared by cross functional partners to existing workflows, product features, and planned launches.
Implement pre-approved changes to workflows and knowledge repositories.
Help support and exchange knowledge with other PDO DLAs.
Required Education
Bachelor's degree
Job Title: Data Labeling Analyst III
Location: Remote US (PST Preferred)
Must-Have Skills
Annotation and Data QA’ing images/responses generated by AI.
SQL (pull/create/analyze queries)
Data Integrity/QA Background
Experience working with external Vendors/Cross Functional teams to drive Project Completion
Nice-to-have Skills
Other Data tools such as Python, Snowflake, Tableau etc.
Summary
The Data Labeling Analyst will contribute to large projects and leverage analytical skills to help deliver lasting impact on our client products. If you thrive in ambiguous environments and love finding areas for improvement, you’ve come to the right place.
The main function of a DLA is to support and improve the quality of our labeling programs. DLAs support our project managers and partner with our global vendors to ensure all operational metrics meet targets. DLAs are expected to become Subject Matter Experts on labeling workflows and help deliver lasting impact for the product teams we support.
Responsibilities
Become a subject matter expert in labeling workflows and labeling guidelines, practicing labeling in assigned queues to stay close to the workflow.
Maintain relationships with vendor partners. Attend weekly business reviews and product team meetings and contribute to meetings regarding quality and/or technical barriers.
Perform quality audits to provide labeling metrics and insights, support policy guideline updates, and recommend optimization opportunities across the labeling programs.
Help vendors unblock obstacles by sharing data and escalating bugs and tooling issues to correct engineering teams with necessary documentation.
Understand and help incorporate changes shared by cross functional partners to existing workflows, product features, and planned launches.
Implement pre-approved changes to workflows and knowledge repositories.
Help support and exchange knowledge with other PDO DLAs.
Required Education
Bachelor's degree
