Digital Associate, Ring Data Engineering Services
Technology, Data & Digital · Data, AI & Analytics · Data Engineering · Data Analysis
In short
As a Digital Associate in Ring Data Engineering Services, you will create high-quality written content for videos/images and label data for machine learning models. This role requires strong English language skills, attention to detail, and the ability to meet daily targets in a fast-paced, collaborative environment.
Responsibilities
- Perform simple annotation-related tasks in ML data processing areas like audio, image, and video.
- Utilize internal tools and software provided by the team.
- Participate in data collection activities with provided scripts and instructions.
- Apply language skills, grammar knowledge, and linguistic rules to ensure quality content.
- Maintain internal quality through audits and verification.
- Meet daily productivity and quality targets.
- Track queries related to annotation/data collection and share with stakeholders.
- Track daily task completion status and provide individual status reports.
- Adhere to confidentiality and compliance requirements.
- Help test new SOPs and ML data tools.
- Provide feedback to streamline processes and improve results.
- Offer remedial instruction in tool usage.
Requirements
- Strong command of the English language, including grammar, syntax, and vocabulary.
- Familiarity with the Windows desktop environment and applications like Word, Excel, IE, Firefox.
- Flexibility and interest in performing repetitive tasks.
- High level of energy, proactive nature, sense of ownership, and drive.
- Willingness to accept the challenge of daily deadlines.
- Attention to detail and ability to identify and rectify errors.
- Strong problem-solving skills.
- Ability to work effectively in a fast-paced, collaborative environment.
- Passion for language, technology, and AI advancements.
- Ability to meet deadlines, prioritize tasks, and manage multiple projects.
Desired Qualifications
- Background in linguistics, creative writing, computational linguistics, or a related field is preferred.
- Analytical mindset with the ability to evaluate and interpret data.
- Knowledge of Microsoft Office products and applications.
- Speak, write, and read fluently in English.
Benefits
- Inclusive culture that empowers Amazonians.
- Work in flexible schedule/shift/work area, including weekends, nights, and/or holidays.
#Data Engineering#ML Data#Annotation#Content Creation#AI Advancements
Company
Amazon
Job Posted
3 weeks ago
Employment Type
Full Time
WorkMode
On Site
Experience Level
Associate
Locations
Chennai, India
Qualification
Bachelor
Applicants
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