About Company:
Amazon hiring Data Associate I-Fresher.Amazon.com aspires to be the world’s most customer-focused company, allowing customers to search and discover practically anything they want to buy online. Amazon.com continues to expand and evolve as a world-class e-commerce platform by providing customers with more of what they want – cheap pricing, a diverse product offering, and convenience. Amazon’s evolution from website to e-commerce partner to development platform is driven by the company’s innate spirit of innovation. . Amazon.com attracts the world’s greatest technology brains to research and build technology that enhances the lives of customers and sellers worldwide. Amazon hiring Data Associate I-Fresher.
Job Description:
Role: Data Science & Analytics – Other
Preferred: Women Candidates Only
Salary: 2.5-3 Lacs P.A.
Industry: IT Services & Consulting
Department : Data Science & Analytics
Role Category : Data Science & Analytics – Other
Employment Type: Full Time, Permanent
The Bedrock team consists of data linguists and colleagues who primarily support the training of various models on the AWS generative AI platform. We specialize in text-based data annotation, writing for ML model training, and assessing harmful content. The Bedrock team works on numerous aspects of machine learning development, including Responsible AI, reinforcement learning from human feedback, supervised fine tuning, and human content evaluation. . Our staff has extensive experience in the field of linguistics, including sociolinguistics, computational linguistics, conversation analysis, syntax-semantics, linguistic typology, ESL and foreign languages, and translation.
Key Job Responsibilities:
- Develop a thorough understanding of the data gathering and annotation guidelines, as well as the various annotation tools.
- Annotate text data, identifying linguistic categories based on detailed annotation and adhering to guidelines.
- Perform annotation-related duties, including data production, collecting, and quality assurance.
- Analyzing issues and implementing solutions independently.
- Collaborate with ML Data Associates (L3) and Team Managers (TMs) to provide high-quality data annotations
Basic qualifications:
- Bachelor’s degree
- Knowledge of Microsoft Office products and applications
- Speak, write, and read fluently in English.
- Preferred qualifications: Passion for language, linguistics, human language technology and AI.
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