AI Data Quality
6 days ago
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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