1. Project Creation
- The administrator creates the project and assigns a project manager to ensure a smooth start.
- The project manager sets project parameters and task details, and develops an execution plan.
- The project manager holds a kickoff meeting with team members to clarify project goals and timelines.
- Identify the required resources and tools to ensure all members have the necessary permissions and access.
2. Task Assignment
- The project manager assigns annotation tasks to annotators to optimize resource allocation.
- Annotators receive tasks and start annotating data, maintaining communication with the project manager.
- The project manager regularly checks task progress to ensure timely completion.
- Tasks are assigned through platform tools to ensure transparency and fairness.
3. Data Annotation
- Annotators complete data annotation on the platform and submit results to ensure data quality.
- The platform records each annotator's task progress and submission time for tracking.
- Annotators can use platform tools to improve annotation efficiency.
- Annotators regularly communicate with the project manager to report any issues encountered.
4. Data Review
- The project manager assigns annotated data to reviewers for quality control.
- Reviewers check the annotated data, submit review results, and provide feedback.
- If the data does not meet requirements, annotators must re-annotate based on feedback to ensure improvement.
- Reviewers use platform tools to ensure an efficient and accurate review process.
5. Data Approval
- The project manager or administrator reviews and approves the final data to ensure it meets standards.
- The platform logs the review and approval process for transparency and traceability.
- The project manager confirms the final version of the data with stakeholders to ensure all requirements are met.
- After approval, the project manager notifies team members to prepare for data export.
6. Data Export
- The administrator or project manager exports the reviewed and approved data for report generation.
- Generate project progress and data quality reports, and archive data for future use.
- Ensure the exported data format and content meet client requirements.
- The project manager shares the final report with team members and conducts a project summary and knowledge sharing session.