Data Annotator

Posted 1 day ago

This is a fully remote position, open to applicants in United States.

📋 Description

• Evaluate video clips to identify pertinent objects, individuals, actions, events, and visual elements.

• Annotate and label video material in accordance with project-specific guidelines.

• Adhere to established protocols to ensure accuracy and consistency in annotations.

• Review completed annotations to rectify errors or inconsistencies.

• Identify unclear content or instances that require further examination.

• Achieve project deadlines and productivity goals while upholding quality standards.

• Adjust to revised annotation guidelines and changing project requirements.


⛳️ Requirements

• Exceptional attention to detail with the capability to discern relevant information in video content.

• Strong understanding and ability to follow intricate instructions.

• Excellent observational and analytical abilities.

• Basic computer proficiency and adeptness with online tools and platforms.

• Capacity to work independently and manage repetitive, detail-oriented tasks.

• Dependable internet connection and appropriate work-from-home environment.

• Proficient written English comprehension.

• Laptop or desktop computer provided by the candidate.

• Intel Core i5, AMD Ryzen 5, Apple M1, or an equivalent processor.

• Minimum of 8 GB RAM.

• At least 10 GB of available storage.

• Windows 10 or a compatible version of macOS that supports the necessary annotation tools.

• Stable primary internet connection with a minimum speed of 50 Mbps.

• Reliable backup internet connection capable of supporting video playback and annotation tasks, preferably 50 Mbps.

• Device must be in optimal working condition and able to smoothly play assigned video files while running the required annotation tools.


🏝️ Benefits

• Remote work / work from home.

• Full-time or part-time positions available, depending on project needs.

• Opportunity to gain experience in AI training and evaluation projects.

• Utilize existing skills while acquiring new tools and workflows.

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