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Data Annotation Quality Specialist

3 weeks ago

Singapore beBeeData Full time $80,000 - $120,000
Overview

Job Description:

  • Collaborate with cross-functional teams to create and implement annotation quality pipelines that ensure consistent and accurate data labeling.
  • Develop and refine quality control processes to identify and rectify issues in annotated datasets.

Key Responsibilities:

  • Design, document, and communicate clear Standard Operating Procedures (SOPs) for data annotation teams.
  • Train and educate annotation teams on SOPs to ensure adherence to quality standards.
  • Conduct regular quality assessments of annotated data to identify discrepancies, inconsistencies, or errors.
  • Collaborate with annotation teams to provide feedback and guidance for improving annotation quality.

Requirements:

  • Bachelor's degree in a related field (e.g., Computer Science, Data Science, Statistics etc).
  • Knowledge of machine learning and data labeling techniques.
  • Knowledge of SQL, Python and Data Analysis skill is a plus.
  • Ability to leverage AI tools to enhance day-to-day tasks and improve efficiency.
  • Strong problem-solving skills with an attention to detail.
  • Proficient in at least one of these languages: Bahasa, Vietnamese, Portuguese, Thai, or Chinese to collaborate with local stakeholders.