Amazon is hiring for the position of ML Data Associate-II at its Hyderabad office. This role is open to candidates with a bachelor’s degree and is suitable for individuals with 0 to 2 years of experience, making it an ideal opportunity for fresh graduates
Company Name: Amazon
Job Role: ML Data Associate-II
Education Required: Bachelor’s degree
Experience Required: 0 – 2 years
Job Location: Hyderabad
Roles and 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.
Required Skills and 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.
