Roles and Permissions Overview

This guide details the scope of permissions and main responsibilities for each role on the platform. It aims to clarify division of labor, enhance collaboration efficiency, and ensure the platform's security and effective operation.

1. Administrator

• Permissions:

  • Create and manage user accounts, ensuring the security and validity of user information.
  • Assign and adjust roles and permissions to meet the needs of different users and projects.
  • Configure project parameters, including workflows, timelines, and resource allocation.
  • View and manage all projects and their data, monitor platform status in real time.
  • Export data and generate various reports to support data analysis and decision-making.
  • Manage system logs and audit records to ensure compliance and security.
  • Handle user feedback and technical support requests, providing timely and effective solutions.

• Main Responsibilities:

  • Ensure stable platform operation and information security, regularly maintain and upgrade the system.
  • Supervise project progress and data quality, promptly identify and resolve potential issues.
  • Develop and implement security policies to prevent various security threats.
  • Organize training and knowledge sharing to improve the overall technical level of the team.

2. Project Manager

• Permissions:

  • Create and manage projects, define project goals and key milestones.
  • Assign tasks to annotators and reviewers, optimize team resource allocation.
  • View project progress and task status in real time, promote team communication and collaboration.
  • Review and approve data to ensure quality standards are met.
  • Adjust project plans and resource allocation as needed to respond to changes and challenges.
  • Generate project reports and progress updates to report to stakeholders.

• Main Responsibilities:

  • Responsible for daily project management and advancement, develop and execute detailed project plans.
  • Ensure tasks are completed on time and with high quality, motivate team members to maintain efficiency.
  • Maintain data accuracy and consistency, ensure overall project quality.
  • Coordinate and resolve internal team issues, foster a positive collaborative environment.
  • Assess project risks, develop contingency plans, and ensure smooth project execution.

3. Reviewer

• Permissions:

  • Receive and complete review tasks, responsible for final data quality control.
  • View and evaluate annotated data, provide professional feedback and suggestions for improvement.
  • Submit review results, ensuring data meets quality standards.
  • Use review tools and resources to improve review efficiency.
  • Document the review process and results, maintain comprehensive review records.

• Main Responsibilities:

  • Strictly review annotated data, identify and correct potential errors.
  • Propose process and quality improvement suggestions, promote team professional growth.
  • Ensure data meets project standards, providing assurance for project success.
  • Participate in review process optimization, continuously improve review effectiveness.
  • Assist in training new reviewers, share review experience and skills.

4. Annotator

• Permissions:

  • Receive and complete annotation tasks, focusing on accurate data processing.
  • View personal tasks and progress, manage time and workload independently.
  • Submit annotated data, ensuring timely and high-quality delivery.
  • Use annotation tools and resources to improve work efficiency and data quality.
  • Document annotation processes and issues, maintain comprehensive annotation records.

• Main Responsibilities:

  • Annotate data according to project requirements, strictly following standards and formats.
  • Ensure the accuracy and consistency of annotated data, actively participate in quality control.
  • Adhere to project schedules, continuously optimize work efficiency.
  • Participate in annotation process optimization, improve overall annotation quality.
  • Assist in training new annotators, share experience and best practices.

5. Data Collector

• Permissions:

  • Use collection devices (such as sensors, video equipment, remote robots, etc.) to collect raw data, ensuring data completeness and accuracy.
  • View and configure collection devices, make necessary adjustments.
  • Submit and preliminarily organize collected data, ensuring data meets quality standards.
  • Use data collection tools to improve collection efficiency.
  • Record issues and anomalies during collection, maintain comprehensive collection logs and documentation.

• Main Responsibilities:

  • Collect data as required by the project, ensuring data sources are authentic and representative.
  • Perform preliminary organization and inspection of collected data to ensure completeness and accuracy.
  • Report equipment failures or data anomalies in a timely manner, coordinate with technical support for resolution.
  • Ensure data security during collection, strictly comply with privacy protection policies.
  • Participate in collection process optimization, improve collection efficiency and data quality.
  • Collaborate with annotators and reviewers to ensure data quality control and standardization.
  • Assist in training new data collectors, share collection experience and techniques.