Data Annotator Expert - General
Remote
Contracted
Experienced
Location
United States (Remote)
Pay
20.00 USD Per Hour
Schedule
Flexible: 10-40 hours per week
DESCRIPTION
A reputable AI firm seeks college graduates with strong math or data skills to join as AI Data Annotators.
This involves labeling objects in images, assigning categories to text segments, or creating/assessing multiple-choice questions to assist AI models that rely on accurately labeled data.
We seek people who can maintain a high level of attention to detail while completing tasks that take 10-40 minutes to complete.
Eligible Candidates Must reside in the US
RESPONSIBILITIES
United States (Remote)
Pay
20.00 USD Per Hour
Schedule
Flexible: 10-40 hours per week
DESCRIPTION
A reputable AI firm seeks college graduates with strong math or data skills to join as AI Data Annotators.
This involves labeling objects in images, assigning categories to text segments, or creating/assessing multiple-choice questions to assist AI models that rely on accurately labeled data.
We seek people who can maintain a high level of attention to detail while completing tasks that take 10-40 minutes to complete.
Eligible Candidates Must reside in the US
RESPONSIBILITIES
- Multimodal data annotation: Accurately label and tag data, including images and text, following provided guidelines.
- Multiple-choice question generation: Create clear and high-quality questions for educational or AI training purposes.
- Quality assurance: Review and verify your annotations to ensure consistency and correctness across datasets.
- Data processing: Handle large volumes of data, ensuring tasks are completed within project deadlines while maintaining high attention to detail.
- Bachelor's Degree or higher. Recent grads are encouraged to apply!
- English proficiency: Excellent written and verbal communication skills
- Data literacy: Experienced processing various types of data is preferred
- Technical aptitude: Being familiar with essential software tools, spreadsheets, or annotation platforms
- Self-motivation: Ability to work independently and effectively
- Good understanding of fundamental math and capability to comprehend intricate ideas and handle technical information.
- Precision is vital when it comes to attention to detail, as machine learning models can be affected by inaccurate labeling.
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