Data Quality Analyst / Dataset Curator
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Job summary
We are seeking a meticulous and analytical Data Quality Analyst / Dataset Curator to ensure the accuracy, integrity, and reliability of datasets used for AI model training. This role plays a critical part in maintaining high-quality data standards across the AI development lifecycle.
Min Qualification:
Degree
Experience Level:
Entry level
Experience Length:
2 years
Job descriptions & requirements
Responsibilities:
- Review datasets to identify quality issues and inconsistencies
- Detect duplicates, noise, anomalies, and potential bias
- Validate labelling accuracy and consistency
- Annotate dataset errors and document findings
- Conduct label correctness validation and dataset integrity checks
- Tag bias, class imbalance, and distribution issues
- Approve datasets for AI model training
Requirements:
- Bachelor’s degree in Computer Science, Information Technology, or equivalent professional experience
- Strong data literacy and analytical thinking
- Exceptional attention to detail
- Basic understanding of statistics (e.g., distributions, imbalance, variance)
- Familiarity with data cleaning and preprocessing techniques
- Ability to work with both structured and unstructured data
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