ML Data Associate-II Amazon Full Time NEW

ABOUT Amazon 

Amazon is guided by four principles: customer obsession rather than competitor focus, passion for invention, commitment to operational excellence, and long-term thinking. We are driven by the excitement of building technologies, inventing products, and providing services that change lives. We embrace new ways of doing things, make decisions quickly, and are not afraid to fail. We have the scope and capabilities of a large company, and the spirit and heart of a small one.

DESCRIPTION

We are looking for those candidates who just don’t think out of the box, but make the box they are in ‘Bigger’. The future is now, do you want to be a part of it? Then read on!. AI is the most transformational technology of our time, capable of tackling some of humanity’s most challenging problems. Amazon is investing in generative AI and the responsible development and deployment of large language models (LLMs) across all of our businesses. Come build the future of human-technology interaction with us.

Frontend Development Oodles Technologies

Responsibilities:

• Maintain and follow strict con4fidentiality guidelines
• Work with a wide range of different types of data including but not limited to text, audio, speech, image, and video
• Deliver high-quality labelled data, utilizing in-house tools, software and guidelines to meet our Key Performance Indicators with a commitment to foster the safe, responsible, and effective development of AI technologies
• Serve as a subject matter expert for Machine Learning (ML) data workflows, demonstrating proficiency in researching, generating factually and grammatically accurate responses, ranking responses, creating grammatically correct text, and annotating images and videos
• Demonstrate analytical and critical thinking capabilities while evaluating different forms of data and making decisions.
• Logical decision making while preforming tasks that may include ambiguous information
• Be agile to transition to diverse labelling workflows while paying close attention to details
• Demonstrate expertise in handling end-to-end data execution process related to labelling the tasks and be less dependent on work instructions
• Contribute to root cause analysis, identify error patterns and identify solutions to improve quality of labelling tasks
• Highlight process challenges in SOP, tools and suggest changes as required
• Demonstrate high judgement to balance process adherence and take ownership to analyze and provide resolutions

BASIC QUALIFICATIONS :

• A bachelor’s degree in any field of study
• 0-2 years of work experience with demonstrated task execution ability
• Ability to effectively research, comprehend and evaluate diverse subject matter across various domains
• Proven capacity to leverage open-source resources effectively for comprehensive research purposes
• Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy
• A sense of ownership and drive and a willingness to accept the challenge of daily deadlines is essential

SDE 1 – Off Campus Dream 11

PREFERRED QUALIFICATIONS :

• Bachelor’s or Master’s degree preferred
• Exposure to US culture, prior experience in Machine learning domain will be an added advantage
• Willingness to multi-task
• Excellent computer skills with good typing speed (> 50 wpm and above)
• Candidate must demonstrate language proficiency in all the following: verbal, writing, reading and comprehension at minimum B2 level in the CEFR framework