Data Labeling Analyst II

The main function of a data labeling analyst is to create and manage data labels. You will also collaborate closely with our operations team to generate insights and optimize the labelling process. You will play a pivotal role in the development of AI and ML models, ensuring the accuracy and relevance across both integrity and support use cases. This role is not expected to engage with graphic content, however there is a risk of some exposure Responsibilities: • Become an expert in various integrity and support issues across Operations at Meta. • Create and modify data labels, ensuring compliance to all regulatory and legal requirements. • Ensure the quality of labelled data sets, ensuring alignment to Meta's content policies and/or support processes. • Partner with team members to improve processes and tools of the team's labelling interfaces. • Deliver insights as appropriate related to observed trends in data labelling workflows. Required Qualifications: • Bachelor's degree or equivalent work experience in related field(s) (e.g. Computer Science, Information Systems, Intelligence Studies, Cybersecurity, Mathematics, Business Administration, etc.). • Professional experience in an office setting, working in an autonomous role. • Experience in data review and/or labelling processes. • Ability to identify trends within large data sets. • Ability to learn complex policies/concepts quickly. • Experience working under pressure to fulfil quotas while also maintaining a level of high quality output. • Willingness to work on repetitive tasks and to find/communicate patterns observed within those tasks. Preferred Qualifications: • Ability to work with a team spanning multiple locations/time zones. • Ability to work in a fast-paced, dynamic environment, adapt to changes, and prioritize competing requests. • Excellent communication skills, verbal and written. • Demonstrated ability to take broad direction, working without step-by-step guidelines. • Proficiency in MS Office (Word, Excel, PowerPoint) and/or Google Suite.