Amazon ML Data Associate-II 

India, Telangana, Hyderabad 

809898885

Key job 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 resolutionsA day in the life

• 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 essentialThis will be 100% onsite role which may require flexibility in work schedule.

• 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