DLA IIs form the cornerstone of the CW program and act as both annotators and auditors, depending on Product and project needs. Their responsibilities include, but are not limited to:
● Labeling / auditing a set amount of data daily, at the direction of Project Coordinators and Project Managers
● Reviewing and validating labeled datasets for accuracy and consistency.
● Performing QA in our in-house annotation tooling
● Flexing between projects as demand requires; adjusting to new project guidelines week-over week and learning multiple project guidelines at once
● Comprehending complex guidelines and product requirements to accurately label ML data to refine AI models
● Collaborating with team members to identify improvements to the labeling process to drive efficiency and promote high quality
● Supporting training new DLAs who join a project through shadowing sessions (i.e., letting other DLAs shadow their work)
● Operationalizing on Product feedback and bringing best data labeling practices downstream to peer DLAs in accordance with Product feedback and review
● Supporting with any additional tasks to help with program excellence
Education:
● BA/BS required in STEM
● Knowledge of foreign language preferred
● MLG background preferred
● Must pass our English annotation test
Pursuant to the California Fair Chance Act, Los Angeles County Fair Chance Ordinance for Employers, Los Angeles Fair Chance Initiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance, qualified applicants will be considered for assignment with arrest and conviction records. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness, meet client expectations, standards, and accompanying requirements, and safeguard business operations and company reputation.
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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