
AI Labeling Specialist
1 day ago
This position plays a crucial role in supporting the development of cutting-edge AI technologies. As a ML Data Associate-II, you will be responsible for undertaking foundational labeling functions, including dialogue evaluation on speech, text, audio, and video data.
The ideal candidate will possess excellent attention to detail, strong analytical thinking, and advanced reading comprehension skills. Fluency in Hindi language and proficiency in business writing are also essential qualifications for this role.
Key Responsibilities:
- Maintain confidentiality and adhere to all applicable Amazon policies for securing confidential information.
- Deliver high-quality labeled data using in-house tools and software to meet our KPIs.
- Collaborate with cross-functional teams to analyze root causes, identify error patterns, and propose solutions to enhance labeling tasks and their outputs.
- Identify day-to-day process and operational issues in Standard Operating Procedure, tools, and suggest changes to unblock operations.
Requirements:
- An Associate's Degree or related work experience.
- Fluency in Hindi language.
- Strong business writing skills with ability to create reports, proposals, and professional correspondence.
- Advanced reading comprehension with ability to analyze complex business documents.
- Developed analytical thinking and structured problem-solving capabilities.
- Proficient research skills with experience gathering and synthesizing information from multiple sources.
Preferred Qualifications:
- Bachelor's degree in a relevant field.
- C1 English language proficiency.
- 2+ years of professional work experience with demonstrated task execution ability.
- Proven capacity to leverage open-source resources effectively for comprehensive research purposes.
Why Join Us?
At Amazon, we value diversity and inclusion. We believe that every individual deserves an opportunity to thrive and grow in a dynamic environment. If you share our passion for innovation and customer satisfaction, join us in shaping the future of human-technology interaction.
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