Digital Associate, Ring Data Engineering Services
Technology, Data & Digital · Data, AI & Analytics · Data Engineering · Machine Learning · Data Analysis
In short
As a Digital Associate in Ring Data Engineering Services, you will create high-quality written content for multimedia files and label objects for machine learning. Your role involves performing annotation tasks, participating in data collection, and maintaining quality through audits. This position requires strong English language skills, a Bachelor's degree, and an analytical mindset.
Responsibilities
- Perform simple annotation-related tasks in ML data process areas (audio, image, video).
- Participate in data collection activities when scripts and instructions are provided.
- Apply language skills, grammar knowledge, and linguistic rules for clear content.
- Maintain internal quality through quality 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 consistency and quality.
- Offer remedial instruction in tool usage.
Requirements
- Strong command of the English language, including grammar, syntax, and vocabulary.
- Background in linguistics, creative writing, computational linguistics, or a related field is preferred.
- Analytical mindset with the ability to evaluate and interpret data.
- Good familiarity with the Windows desktop environment and uses of Word, Excel, IE, Firefox.
- Flexibility and interest in doing repetitive tasks.
- High level of energy and proactive nature.
- Sense of ownership and drive, and willingness to accept the challenge of daily deadlines.
- Attention to detail and ability to identify and rectify errors or inconsistencies.
- 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 simultaneously.
- Bachelor's degree or equivalent.
- Speak, write, and read fluently in English.
Desired Qualifications
- Knowledge of Microsoft Office products and applications.
Benefits
- Work in flexible schedule/shift/work area, including weekends, nights, and/or holidays.
#data engineering#machine learning#AI
Company
Amazon
Job Posted
10 hours ago
Employment Type
Full Time
WorkMode
On Site
Experience Level
Entry
Locations
Chennai, India
Qualification
Bachelor
Applicants
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