Digital Associate, Ring Data Engineering Services

Technology, Data & Digital · Data, AI & Analytics · Data Engineering · Data Analysis

In short

As a Digital Associate for Ring Data Engineering Services, you will create high-quality written content for videos and images, and label objects for audio, image, and video files. This role requires strong English language skills, attention to detail, and the ability to meet daily targets in a fast-paced environment.

Responsibilities

Perform simple annotation-related tasks in ML data processes (audio, image, video).
Use internal tools and software provided by the team.
Participate in data collection activities when scripts and instructions are provided.
Apply language skills, grammar knowledge, and linguistic rules to generate clear text.
Maintain internal quality through quality audits and verification.
Meet daily productivity and quality targets.
Track and share queries related to annotation/data collection.
Track daily task completion status and provide status reports.
Adhere to confidentiality and compliance requirements.
Help test new SOPs and ML data tools.
Provide feedback to streamline processes and improve quality.
Offer remedial instruction in tool usage and other topics.

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 etc.
Flexibility and interest in doing repetitive tasks.
High level of energy and proactive nature.
Sense of ownership, 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.
Speak, write, and read fluently in English.
Bachelor's degree or equivalent.

Desired Qualifications

Knowledge of Microsoft Office products and applications.

Benefits

Inclusive culture that empowers employees.
Work flexible schedule including weekends, nights, and holidays.

Skills

English LanguageLinguisticsCreative WritingComputational LinguisticsMicrosoft OfficeWordExcel

#Data Engineering#ML#Annotation

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