ML Data Associate-II, Artificial General Intelligence Data Services
Technology, Data & Digital · Data, AI & Analytics · Data Science · Artificial Intelligence · Data Analysis
In short
Amazon is seeking an ML Data Associate-II for its Artificial General Intelligence Data Services team in Chennai. This role involves labeling diverse data types (text, speech, image, video) to train AI models and requires strong analytical skills and attention to detail. The position offers an opportunity to contribute to cutting-edge AI development.
Responsibilities
- Maintain strict confidentiality of customer data.
- Work with various data types including text, speech, audio, image, and video.
- Deliver high-quality labeled data using in-house tools and software to meet KPIs.
- Generate high-quality human insight data across multiple modalities.
- Make sound judgments and logical decisions with ambiguous information.
- Analyze root causes, identify error patterns, and propose solutions for labeling tasks.
- Identify and suggest improvements for process and operational issues.
- Provide floor support to clarify internal queries during execution.
Requirements
- Associate’s Degree or related work experience.
- C1+ or equivalent fluency in X language (Specify by location and locale).
- Strong business writing skills.
- Advanced reading comprehension.
- Developed analytical thinking and structured problem-solving capabilities.
- Ability to interpret and implement detailed instructions.
- Proficient research skills.
- Proven attention to detail in managing complex tasks and documents.
- Experience managing stakeholder relationships.
- Advanced proficiency in Microsoft Office Suite.
Desired Qualifications
- Bachelor’s degree in a relevant field.
- 2+ years of professional work experience with demonstrated task execution ability.
- Proven capacity to leverage open-source resources for research.
- Ability to adapt to fast-paced environments.
- 2-3 years project coordination or management experience.
Benefits
- Inclusive culture that empowers employees.
- Opportunity to build the future of human-technology interaction.
- Contribute to practical, useful generative AI innovations.
#AI#Artificial Intelligence#LLM#Data Services#ML