AI Data Quality Specialist
1 day ago
As a meticulous data quality expert, you will be responsible for ensuring the integrity of training and evaluation datasets. This is crucial for building reliable AI models that can effectively learn from data.
The ideal candidate will possess excellent analytical skills, attention to detail, and the ability to work independently in a fast-paced environment.
Key responsibilities include performing quality audits on annotated datasets, leveraging metrics such as F1 score and inter-annotator agreement to evaluate data quality, analyzing annotation errors, trends, and project documentation to identify root causes and propose remediation strategies, and proficiently using annotation and quality control tools to perform reviews and track quality metrics.
Additionally, you will become an expert in project guidelines and provide feedback for clarifications or improvements, and contribute to documenting quality standards and procedures.
Requirements:- At least 1 year of experience as a data analyst with exposure to data quality and/or data annotation, preferably in an AI/ML context
- Familiarity with basic concepts of AI/ML pipelines and data
- Strong problem-solving and critical thinking skills
- 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 analytical and problem-solving skills with an exceptional eye for detail
As a valued member of our team, you will receive competitive salaries, comprehensive benefits, and opportunities for professional growth and development.
We prioritize employee well-being and foster an inclusive environment that supports internal mobility and collaboration.
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