Amazon Hiring Freshers | Data Associate I ML Data Ops

The job listing you’ve shared is for a Data Associate I (Japanese), ML Data Ops role at Amazon, located in Haryana. The role focuses on improving Amazon Search services through high-quality data annotation, which helps in enhancing machine learning (ML) models. Below is a summary:

Job Overview:

The role is part of the Search Operations team, responsible for providing accurate and timely data annotation that helps improve the AI/ML models used by Amazon’s Search services. The team’s goal is to enhance the search experience for customers by offering high-quality, cost-efficient, and secure labeling solutions.

Key Responsibilities:

1. Data Annotation:
   • Perform high-quality and timely data annotation for various workflows.
   • Work autonomously on complex processes.
2. Process Management:
   • Identify and address operational issues.
   • Create and update standard operating procedures (SOPs).
   • Handle process improvement projects on a small scale.
3. Audits and Training:
   • Conduct quality checks and audits of tasks performed by junior associates.
   • Train new hires and contribute to developing training modules.
4. Reporting and Communication:
   • Generate reports for internal teams (weekly/monthly).
   • Communicate with external stakeholders to resolve issues as per guidelines.
5. Issue Management:
   • Troubleshoot process-related issues and conduct root cause analysis.
   • Handle sensitive content, including potentially offensive materials.

Basic Qualifications:

• Education: Graduate or equivalent with at least 2 years of experience.
• Language Skills: Proficiency in Japanese (JLPT N3 and above) and good command of English.
• Skills: Strong analytical, interpersonal, and communication skills, with a passion for customer experience.

Preferred Qualifications:

• Technical Skills: Basic to intermediate Excel skills; knowledge of SQL and Machine Learning is a plus.
• Industry Knowledge: Familiarity with e-commerce and experience in web search/content classification.

For more details or to apply, you can visit the link Hiring Freshers | Data Associate.