
Data Quality and Engineering Lead
1 day ago
We are seeking a proactive leader to architect and maintain high-quality annotation workflows, ensuring AI models are built and evaluated on reliable data without compromising speed or efficiency.
The Impact You'll Make:
- BUILD AND GUIDE A HIGH-PERFORMING TEAM OF DATA QUALITY ANALYSTS.
- DEVELOP AND REFINE ROBUST QA PROCESSES, SOPs, AND STATISTICAL QUALITY METRICS TO PROTECT ANNOTATION INTEGRITY.
- CREATE DASHBOARDS AND REPORTS THAT REVEAL QUALITY TRENDS, ROOT CAUSES OF ERRORS, AND IMPROVEMENT OPPORTUNITIES.
- CHAMPION TOOL INNOVATION AND EFFICIENCY BY MANAGING ANNOTATION AND QA PLATFORMS AND EVALUATING OR IMPLEMENTING NEW AUTOMATION TOOLS.
Key Responsibilities:
- DEVELOP, REFINE, AND DOCUMENT QUALITY ASSURANCE PROCESSES AND SOPs.
- ESTABLISH QUALITY METRICS THAT ALIGN WITH BUSINESS OBJECTIVES AND INDUSTRY STANDARDS.
- CONTINUOUSLY REVIEW ANNOTATION WORKFLOWS TO IDENTIFY RISKS AND OPPORTUNITIES TO INCREASE EFFICIENCY AND REDUCE ERRORS.
Requirements:
- 3+ years in data quality management, data operations, or related AI/ML or data annotation roles.
- PROVEN EXPERIENCE DESIGNING AND EXECUTING QA STRATEGIES FOR LARGE-SCALE, MULTI-MODAL DATA ANNOTATION PROJECTS.
- LEADERSHIP EXPERIENCE MANAGING REMOTE OR DISTRIBUTED TEAMS.
Preferred Qualifications:
- EXPERIENCE IN AGILE OR FAST-PACED TECH ENVIRONMENTS WITH AI/ML PIPELINES.
- FAMILIARITY WITH PROMPT ENGINEERING AND LLM-ASSISTED WORKFLOWS FOR ANNOTATION AND VALIDATION.
About This Role:
This is an exciting opportunity to join our team as an AI Data Quality & Engineering Lead. If you have a passion for data quality and want to make a real impact, we encourage you to apply.
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