Data Labeling Analyst Jobs

Approved Meta Remote Locations: Denver, New York, Houston, Los Angeles, Menlo Park, CA and San Diego

The Data Labeling Analyst (DLA) will contribute to large projects and leverage analytical skills to help deliver lasting impact on Meta 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.

Job Responsibilities

• Identify efficiency gaps in internal workflows by applying a process-oriented mindset and implementing solutions.
• Generate robust documentation of processes and templated reports to Help support and exchange knowledge with other PDO program areasDLAs.
• Organize logistics for data collection projects as needed.
• Pull and share data with vendors using existing SQL queries. Develop upon existing SQL queries to deliver project insights and analysis to Meta and vendor stakeholders via BI dashboards.
• Become a subject matter expert in labeling workflows and labeling guidelines, practicing labeling in assigned queues to stay close to the workflow.
• 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.
• Maintain relationships with vendor partners. Attend weekly business reviews and product team meetings and contribute to meetings regarding quality and/or technical barriers.
• Implement pre-approved changes to workflows and knowledge repositories.

Skills

• Leadership in the face of ambiguity: Experience working independently, stepping up to address a problem even when not given clear instruction.
• Strong Written & Oral Communication: Ability to communicate and present effectively, especially in cross-functional settings and across different cultural contexts. Ability to develop relationships with a wide range of stakeholders.
• Curiosity: Demonstrated interest in subject matter and how it contributes to the larger mission at Meta.
• Critical Analysis: Ability to understand complex policies/ideas, identify nuance and patterns, conduct root cause analyses with large data sets, and deliver solutions.
• Strategic & Organized: Ability to manage multiple projects/workflows/ communication channels simultaneously.
• Tech: Experience with using Excel and SQL to work with large data sets; comfortable applying math to business decisions and large data sets; experience learning a new software platform independently.

Education

• Bachelor's degree.