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 perform annotation-related tasks for ML data processes, focusing on audio, image, and video files. This role requires strong English language proficiency, attention to detail, and the ability to meet daily productivity and quality targets.
Responsibilities
- Perform simple annotation-related tasks in ML data processes (audio, image, video).
- Participate in data collection activities when instructions are provided.
- Apply strong language skills, grammar knowledge, and linguistic rules.
- Perform quality audits and verification to maintain high internal quality.
- Meet daily productivity and quality targets.
- Track queries related to annotation/data collection and share them with stakeholders.
- Track daily task completion status and provide individual status reports.
- Adhere to confidentiality & compliance requirements.
- Help test new SOPs and ML data tools.
- Provide feedback to streamline processes and improve quality.
- 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 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.
- 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
- Background in linguistics, creative writing, computational linguistics, or a related field is preferred.
- Knowledge of Microsoft Office products and applications.
- Experience in English-language communication skills, both written and verbal.
Benefits
- Inclusive culture that empowers Amazonians.
- Work in a flexible schedule/shift/work area, including weekends, nights, and/or holidays.
#Data Engineering#ML#AI