
AI Data Operations Specialist
14 hours ago
This is a detail-oriented position that involves maintaining annotation standards and driving continuous improvements to keep AI data accurate, efficient, and scalable.
Key Responsibilities- Perform quality audits on annotated datasets to ensure they meet established guidelines and quality benchmarks.
- Leverage metrics such as F1 score and inter-annotator agreement to evaluate data quality.
- Analyze annotation errors, trends, and project documentation to identify root causes and propose remediation strategies.
- Resolve and analyze edge-case annotations to ensure quality and identify improvement areas.
- Proficiently use annotation and quality control tools to perform reviews and track quality metrics.
- Become an expert in project guidelines and provide feedback for clarifications or improvements.
- Identify automation opportunities and contribute to documentation of quality standards and procedures.
- Strong analytical and problem-solving skills with an exceptional eye for detail.
- Excellent written and verbal communication skills to clearly articulate quality issues and collaborate with diverse teams.
- Ability to work independently and manage time effectively to meet deadlines.
- Strong problem-solving, critical thinking, and continuous optimization mindset.
- Positive can-do attitude and adaptability to new environments.
- Experience working in fast-paced environments with a focus on detail and strategic priorities.
We prioritize our employees' well-being with competitive salaries and comprehensive benefits.
About UsWe are a provider of outsourced digital services and next-generation customer experience to fast-growing technology companies.
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