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Data Annotation Specialist
About the Company
We are looking for a meticulous Data Annotation Specialist to enhance our human data training for AI and ML projects. The successful candidate will meticulously label, categorize, and annotate various data types, ensuring precision and consistency in alignment with project guidelines.
Job Description
We are looking for a meticulous Data Annotation Specialist to enhance our human data training for AI and ML projects. The successful candidate will meticulously label, categorize, and annotate various data types, ensuring precision and consistency in alignment with project guidelines.
| Company Name | micro1.ai |
|---|---|
| Role | Data Annotation Specialist |
| Location | Remote |
| Salary | None |
| Job Type | Full-time |
Responsibilities
- Accurately annotate and label datasets, including text, images, audio, and video, following project-specific guidelines.
- Review and validate annotations for quality assurance.
- Identify and report edge cases or unclear scenarios to improve guidelines.
- Collaborate with team members to ensure consistent and accurate data labeling.
- Meet deadlines for assigned annotation tasks while maintaining high-quality standards.
Qualifications
- Strong attention to detail and focus on accuracy.
- Ability to follow complex instructions and guidelines.
- Basic knowledge of data annotation tools (e.g., Labelbox, Prodigy, or similar).
- Good communication skills to explain annotation decisions.
- Familiarity with AI/ML concepts is a plus but not mandatory.
- Proficient in English, with clear written and verbal communication skills.
Skills
ATS Keywords
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Frequently Asked Questions
You will be annotating various data types, including text, images, audio, and video, depending on the project requirements.
While experience with tools like Labelbox or Prodigy is beneficial, the specific tools used may vary depending on the project. Familiarity with similar data annotation software is valuable.
While familiarity with AI/ML concepts is a plus, it is not mandatory. Strong attention to detail and the ability to follow instructions are more critical.
Yes, this position is fully remote.
The company expects the employee to accurately annotate and label datasets while following project-specific guidelines. The company also expects the employee to review and validate annotations for quality assurance. The employee must also meet deadlines for assigned annotation tasks while maintaining high-quality standards.
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How to Apply
- Review Job Details: Read through all the job details on this page to understand the requirements and responsibilities.
- Click the Apply Link: Scroll down and click the “Apply Link” button to be redirected to the official website.
- Fill Out the Application: On the official website, fill out the application form with the provided information.
- Double-Check Your Information: Before submitting your application, review all the details you’ve provided to ensure accuracy and completeness.
- Submit Your Application: Once you’re satisfied with your application, submit it through the official website as instructed.
