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.
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.
Skills
- Strategic & Organized: Ability to manage multiple projects/workflows/ communication channels simultaneously.
- 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.
- Critical Analysis: Ability to understand complex policies/ideas, identify nuance and patterns, conduct root cause analyses, and deliver solutions.
- Leadership in the face of ambiguity: Experience working independently, stepping up to address a problem even when not given clear instruction.
- Tech: Experience with Excel; comfortable applying math to business decisions and large data sets; experience learning a new software platform independently.
Required Education
The pay range that Tundra in good faith reasonably expects to pay for this position is $12.40/hour - $15.50/hour.
Tundra’s benefits offering includes optional medical, dental, vision, retirement benefits, up to 15 Days PTO per annum and a New Child Benefit.
Tundra Technical Solutions is among North America’s leading providers of Staffing and Consulting Services. Our success and our clients’ success are built on a foundation of service excellence. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Unincorporated LA County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: client provided property, including hardware (both of which may include data) entrusted to you from theft, loss or damage; return all portable client computer hardware in your possession (including the data contained therein) upon completion of the assignment, and; maintain the confidentiality of client proprietary, confidential, or non-public information. In addition, job duties require access to secure and protected client information technology systems and related data security obligations.
The Meta CWX Program is enabled by a cutting-edge software platform called TalentNet that leads the contingent labor world for technology innovation. The software platform leverages Machine Learning and Artificial Intelligence to make sure the right people end up in the right job.
At Meta, we are constantly iterating, solving problems, and working together to connect people all over the world. That’s why it’s important that our workforce reflects the diversity of the people we serve. Hiring people with different backgrounds and points of view helps us make better decisions, build better products, and create better experiences for everyone.
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