Data Quality Architect

2 days ago

Pulong Santa Cruz, Calabarzon, Philippines beBeeQuality Full time $120,000 - $150,000
Job Overview

TaskUs is a provider of outsourced digital services and next-generation customer experience to fast-growing technology companies. Leveraging a cloud-based infrastructure, TaskUs serves clients in the fastest-growing sectors.

The company has expanded its workforce to approximately 45,000 employees globally, with a presence in twenty-three locations across twelve countries.

We understand that achieving growth for our partners requires a culture of constant motion, exploring new technologies, and mastering consistency in an ever-changing world.

Responsibilities
  • Drive the development and refinement of quality assurance processes and standard operating procedures.
  • Establish comprehensive quality metrics that align with business objectives and industry standards.
  • Review and refine annotation workflows to proactively identify risks and areas to increase efficiency and reduce errors.
Analysis & Reporting
  • Lead in-depth data analysis to diagnose quality issues, assess the effectiveness of quality strategies, and uncover root causes of recurring errors.
  • Develop and maintain dashboards that provide real-time insights into quality metrics and project performance.
  • Prepare and deliver strategic quality reports to senior management and clients, articulating quality trends, risks, and improvement plans.
Operational Leadership
  • Lead a team of Data Quality Analysts and provide mentorship, training, and expertise, fostering a culture of continuous improvement and accountability.
  • Manage the configuration and integration of annotation and quality control tools.
Requirements
  • 3+ years of experience in data quality management, data operations, or related roles within AI/ML or data annotation environments.
  • Proven track record in designing and executing quality assurance strategies for large-scale, multi-modal data annotation projects.
  • Strong data-analysis skills, with the ability to interrogate large datasets, perform statistical analyses, and translate findings into actionable recommendations.
  • Excellent communication skills, with experience presenting complex data and quality insights to technical and non-technical stakeholders.
  • Familiarity with common data-analysis tools, such as Excel and Google Sheets.
Preferred Qualifications
  • Prior experience in an agile or fast-paced tech environment with exposure to AI/ML pipelines.
  • Experience in a managed services or vendor-driven environment.
  • Familiarity with prompt engineering and large-language-model assisted workflows.
Benefits
  • 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 architectures directly influence how the world's leading AI teams mitigate risk.
  • Room to grow: Build the solutions function from scratch and scale into leadership as revenue follows.

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