Job Description
Description
The ML Data Associate II is responsible for supporting machine learning initiatives through data preparation, annotation, and quality assurance. This role works closely with data scientists and ML engineers to ensure high-quality training data for machine learning models.
Key job responsibilities
1) Prepare, clean, and organize large datasets for machine learning applications
2) Apply annotation guidelines to label data accurately across various data types
3) Perform quality checks on annotated data to maintain consistency and accuracy
4) Identify patterns and anomalies in datasets that may impact model performance
5) Document data processing workflows and annotation procedures
6) Collaborate with cross-functional teams to understand data requirements
7) Provide feedback to improve annotation guidelines and data collection processes
Basic Qualifications
- Bachelor's degree or equivalent
Preferred Qualifications
- Speak, write, and read fluently in English
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The ML Data Associate II is responsible for supporting machine learning initiatives through data preparation, annotation, and quality assurance. This role works closely with data scientists and ML engineers to ensure high-quality training data for machine learning models.
Key job responsibilities
1) Prepare, clean, and organize large datasets for machine learning applications
2) Apply annotation guidelines to label data accurately across various data types
3) Perform quality checks on annotated data to maintain consistency and accuracy
4) Identify patterns and anomalies in datasets that may impact model performance
5) Document data processing workflows and annotation procedures
6) Collaborate with cross-functional teams to understand data requirements
7) Provide feedback to improve annotation guidelines and data collection processes
Basic Qualifications
- Bachelor's degree or equivalent
Preferred Qualifications
- Speak, write, and read fluently in English
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
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