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/images and perform labeling tasks on audio, image, and video files. This role involves adhering to quality standards, meeting daily targets, and assisting with data collection and annotation processes using internal tools.
Responsibilities
- Perform simple annotation-related tasks in ML data process areas (audio, image, video).
- Use 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 for content generation.
- 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 specific and timely feedback to streamline processes.
- 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.
Desired Qualifications
- Bachelor's degree or equivalent.
- Experience in written and spoken English and an ability to compose grammatically correct, concise and accurate written responses.
- Knowledge of Microsoft Office products and applications.
- Experience in English-language communication skills, both written and verbal.
- Work a flexible schedule/shift/work area, including weekends, nights, and/or holidays.
Benefits
- Inclusive culture empowers Amazonians to deliver the best results for our customers.
- Workplace accommodation or adjustment for individuals with disabilities during the application, hiring, interview, or onboarding process.
#Data Engineering Services