Job Description

Job Responsibilities:

• 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

Skills:

• Required Skills:
• Knowledge of foreign language preferred
• Machine Learning generalist background preferred
• Must pass our English annotation test
• KPIs:
• Annotation quality (consistency, adherence to guidelines, etc.)
• Audit quality, precision, and accuracy
• Quality to speed / quality to throughput
• Accountability
• Engagement

Education/Experience:

• BA/BS required in STEM degree

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