Digital Associate, Ring Data Engineering Services
Technology, Data & Digital · Data, AI & Analytics · Data Engineering
In short
As a Digital Associate for Ring Data Engineering Services, you will create high-quality written content for multimedia assets and label data from 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 annotation-related tasks in ML data processes (audio, image, video files) using internal tools.
- Participate in data collection activities with provided instructions.
- Apply strong language skills, grammar, and linguistic rules to generate clear content.
- Perform quality audits and verification to maintain high internal quality.
- Meet daily productivity and quality targets.
- Track and share queries related to annotation/data collection.
- Track daily task completion status and provide individual status reports.
- Adhere to confidentiality and compliance requirements.
- 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.
- 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 to do repetitive tasks.
- High level of energy and 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 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.
Desired Qualifications
- Background in linguistics, creative writing, computational linguistics, or a related field is preferred.
- Knowledge of Microsoft Office products and applications.
Benefits
- Work in flexible schedule/shift/work area, including weekends, nights, and/or holidays.
#data engineering#ML#AI