Amazon ML Data Associate-II Artificial General Intelligence 

United Kingdom, England, Cambridge 

152328231

Key job responsibilities
• Maintain and follow strict confidentiality as customer privacy is our biggest tenet
• Work with a range of different types of data including but not limited to text, speech, image, and video
• Deliver high-quality labelled data, using guidelines provided to meet our KPIs and using in-house tools and software
• Assume the role of a subject matter expert for Machine Learning (ML) data workflows and demonstrate proficiency in researching, creating factually and grammatically correct responses, ranking responses, creating grammatically correct text, speech, image, video annotation.
• Ability to make logical decisions while performing tasks even when provided information is ambiguous.
• Eye for detail and ability to pivot from one category of requirement to another instantaneously.
• Demonstrate support for daily operational deliverables like AHT, quality, TAT for multiple task types assigned to you and the team
• 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
• Responsible for identifying day-to-day process and operational issues in SOP, tools and suggest changes to unblock operations
• Demonstrate ownership in floor support to clarify internal queries during execution on need basis
A day in the life
We are looking for a ML Data Associate (MLDA) to undertake the task of foundational labeling functions, such as dialogue evaluation on speech, text, audio, video data, to assess and improve Alexa’s performance in everyday situations.

• Fluent proficiency in English language, including grammar and spelling (both written and verbal).
• Comfortable working with speech from various dialects and accents of one or more of the following regional languages: English
• High-School or equivalent diploma.
• 2+ years of professional work experience with demonstrated task execution ability
• Excellent computer skills, including MS Office, with good typing speed (> 50 wpm and above)
• Ability to effectively write 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

• Bachelor’s degree in a relevant field or equivalent professional experience.
• Familiarity with content management may be beneficial
• Exposure to US culture/communication, prior experience in Machine learning domain will be an added advantage
• Ability to work across multiple teams and multi-task on programs