
AI Data Quality Specialist
21 hours ago
The AI Data Quality and Engineering Lead is responsible for developing high-quality annotation workflows, ensuring reliable data without compromising speed or efficiency.
- Develop quality assurance processes to ensure high-quality outputs.
- Establish quality metrics that align with business objectives.
Requirements:
- 3+ years in data quality management, data operations, or related AI/ML roles.
- Proven experience designing QA strategies for large-scale data annotation projects.
- Leadership experience managing remote teams.
- Strong data-analysis skills and ability to translate findings into actionable recommendations.
- Excellent communication skills with experience presenting data insights to stakeholders.
Preferred Skills:
- Proficiency with annotation and QA tools.
- High proficiency in Excel and Google Sheets; familiarity with Python and SQL.
- Familiarity with AI/ML pipelines concepts.
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