key responsibilities:
1. annotate data accurately: responsible for labeling and tagging data as per defined guidelines to ensure high-quality data sets for machine learning algorithms.
2. maintain data integrity: ensure the accuracy and consistency of annotated data to avoid errors and discrepancies in the dataset.
3. meet deadlines: complete assigned tasks within the specified time frame to ensure timely delivery of annotated data sets.
4. communication: collaborate with team members to discuss any issues or clarifications regarding the data annotation process.
5. quality control: conduct quality checks on annotated data to identify and rectify any errors or inconsistencies.
required skills and expectations:
1. strong attention to detail: ability to focus and concentrate on annotating data accurately without missing any details.
2. basic computer skills: familiarity with using computer software and tools for data annotation tasks.
3. ability to follow guidelines: capable of adhering to predefined instructions and guidelines for data annotation processes.
4. good communication skills: clear and effective communication with team members for resolving issues and clarifications.
5. time management: efficiently manage time to meet deadlines and deliver annotated data sets on time.