Three Across logo

AI Data Quality & Engineering Lead

3 years

0 Lacs

gurugram haryana india

Posted:1 day ago| Platform: Linkedin logo

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Skills Required

ai data engineering ml drive annotation cutting integrity metrics score analyze report automation efficiency management analysis excel python sql model evaluation mentoring agile

Work Mode

Remote

Job Type

Full Time

Job Description

We're Hiring: AI Data Quality & Engineering Lead

Location: Remote

Job Type: Fulltime

Join a dynamic team at the forefront of AI/ML innovation!

We're looking for an

AI Data Quality & Engineering Lead

to help drive excellence in data quality and annotation processes for large-scale AI/ML projects. This is a unique opportunity to lead a high-performing team, optimize workflows, and work with cutting-edge technologies in data annotation and quality assurance.

What You’ll Do

  • Lead and mentor a team of Data Quality Analysts, ensuring top-tier data accuracy and integrity.
  • Develop and refine quality assurance processes and metrics (e.g., F1 score, inter-annotator agreement).
  • Analyze and report on quality trends, uncovering root causes of issues and driving actionable insights.
  • Manage annotation and QA tools (e.g., Labelbox, Dataloop, LabelStudio), ensuring optimal tool performance.
  • Drive automation and innovate with new technologies to improve operational efficiency.

What We’re Looking For

  • 3+ years of experience in data quality management or related roles within AI/ML or data annotation environments.
  • Strong technical expertise with annotation tools and quality assurance methodologies.
  • Hands-on experience with data analysis tools like Excel, Python, and SQL.
  • Experience managing remote or distributed teams.
  • Familiarity with AI/ML pipelines, data preparation, and model evaluation.
  • A passion for mentoring teams and driving continuous improvement in a fast-paced environment.

Preferred

  • Background in agile tech environments and vendor-driven projects.
  • Experience with prompt engineering or large-language-model-assisted workflows
If you're ready to lead a team dedicated to data excellence in the AI space, we want to hear from you!

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