AI Data Annotation Lead

20 hours ago

San Juan, National Capital Region, Philippines beBeeData Full time $120,000 - $160,000
About This Role

We're seeking a visionary leader to spearhead high-quality data annotation workflows for AI systems, ensuring accuracy and integrity of testing, training, and evaluation data while maintaining speed and efficiency.

Key Responsibilities:
  • Lead and mentor a team of Data Quality Analysts, setting clear quality objectives and fostering a culture of precision and accountability.
  • Develop and continually refine robust QA processes, SOPs, and statistical quality metrics (e.g., F1 score, inter-annotator agreement) to safeguard the integrity of annotation outputs.
  • Create dashboards and reports that reveal quality trends, root causes of errors, and improvement opportunities – communicating these insights to stakeholders.
  • Drive innovation and efficiency by managing annotation and QA platforms (like Labelbox, Dataloop, LabelStudio), and evaluating or implementing new automation tools.
Requirements:
  • Minimum 3 years of experience in data quality management, data operations, or related roles within AI/ML or data annotation environments.
  • A proven track record in designing and executing quality assurance strategies for large-scale, multi-modal data annotation projects.
  • In-depth knowledge of data annotation processes, quality assurance methodologies, and statistical quality metrics (e.g., F1 score, inter-annotator agreement).
  • Strong analytical skills, with the ability to interrogate large datasets, perform statistical analyses, and translate findings into actionable recommendations.

This is a remote-first role with flexible work arrangements. The ideal candidate will have experience working in fast-paced tech environments and be proficient in common data-analysis tools, such as Excel and Google Sheets.

Why You'll Thrive in This Role:
  • Remote-first flexibility: Work from anywhere you're most productive.
  • Every challenge is new: Work on first-of-their-kind problems at the frontier of AI safety.
  • Visible impact: Your contributions directly influence how leading AI teams mitigate risk.
  • Room to grow: Build solutions from scratch and scale into leadership as your expertise grows.
  • Mission-driven team: Join like-minded professionals united by a passion for safer AI.

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