Job Summary Table

Job Description Summary Of ML Data Associate

🚀 Join Amazon’s AI revolution!
We are looking for motivated ML Data Associates to work on cutting-edge generative AI projects, labeling and analyzing data that will shape the future of human-technology interaction.

Responsibilities Of ML Data Associate

• 📋 Maintain strict confidentiality of customer data while handling sensitive information.
• 🎯 Work with multiple data formats including text, speech, audio, image, and video.
• 🛠️ Deliver high-quality labeled datasets to meet strict Key Performance Indicators (KPIs).
• 🧠 Exhibit proficiency in creating high-quality human insight data across various modalities.
• 🔍 Analyze root causes of errors, propose enhancements to labeling processes.
• 🏗️ Support multiple labeling tasks across different modalities quickly and efficiently.
• 📈 Identify daily operational issues and propose process improvements.
• 🤝 Provide internal support and clarification for the team when needed.

Benefits and Perks Of ML Data Associate

• 🌟 Opportunity to work with one of the world’s leading tech companies.
• 📚 Learn and grow your skills in AI, Machine Learning, and Data Science fields.
• 🌍 Be part of a diverse, inclusive, and innovation-driven team environment.

Company Overview

Amazon is a global leader in e-commerce, cloud computing, and now a driving force behind the responsible development and deployment of generative AI and large language models (LLMs). With a mission to improve lives using transformative technologies, Amazon invests heavily in cutting-edge research and innovation.

Company Culture

Amazon fosters an environment where creativity, diversity, and individuality thrive. The company values passion, curiosity, and commitment to customer-centric innovation, and it emphasizes equal opportunities for everyone regardless of background.

Career Growth Opportunities

📈 Amazon offers robust career development programs, mentorship opportunities, and a clear path for advancement for ML Data Associates. Whether moving into more technical ML roles, project management, or leadership, Amazon supports your ambitions.

Diversity, Equity, Inclusion, and Belonging

🌎 Amazon’s diverse workforce is one of its greatest strengths. The company is passionately committed to building an inclusive environment where all employees can thrive, innovate, and do their best work.

Equal Opportunity Statement

⚖️ Amazon is an equal opportunity employer. Employment decisions are based on qualifications, merit, and business needs, without regard to race, gender, disability, or any other protected status.

Remote Work Policy

🏡 Info not available.
(For more details, visit Amazon Hiring Information)

Application Process

1. 📄 Submit your application through the official LinkedIn link.
2. 🗣️ Selected candidates will be invited for an initial screening.
3. 🤝 Final interviews and assessments conducted by Amazon’s hiring team.

Application Deadline

🗓️ Info not available. Apply as soon as possible to ensure consideration.

How to Apply

🔗 Click here to Apply Now for the ML Data Associate role at Amazon.

Social Media Links

• Amazon LinkedIn
• Amazon Facebook
• Amazon Twitter

FAQs or Additional Information

• 💬 For additional inquiries regarding accommodations, visit Amazon Hiring Process.
• 🔒 To learn how your data is handled, please review Amazon Privacy Notice.

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