Data Labeling Analyst II

SGS_JOB_2785

Engineering
Remote
Data labeling
data annotation
data auditing
QA
Machine Learning background
STEM degree

Contract - 3 Months

Location (mandatory): Remote, USA DLA IIs form the cornerstone of the CW program and act as both annotators and auditors, depending on Product and project needs.

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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