- Experience
- Any
- Salary
- USD 40 – USD 60 / hour
- Openings
- 1
- Posted
- 13 तासपूर्वी
- Work mode
- Work from home
- Eligibility
- The position is open to all qualified applicants regardless of background, prior experience, or employment history. Selection is based strictly on technical skills and professional qualifications.
- Resume
- Required to apply
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Job description
Role Description
We are looking for an Information Manager to join a client company on a full-time remote basis. This role focuses on overseeing the collection, validation, and management of human-annotated datasets, which are vital for training and evaluating AI models.
Key Responsibilities
- Maintain and update datasets annotated by humans, ensuring they remain accurate and relevant to AI training needs.
- Conduct reviews and validations of data labels to guarantee consistency and maintain the quality standards of datasets.
- Work collaboratively with multiple teams to clarify data requirements and address any disagreements or errors in annotations.
- Create detailed documentation outlining data collection methods, labeling standards, and quality assurance procedures.
- Track and analyze data pipeline performance, implementing improvements to boost overall efficiency.
Requirements
- Proven experience in data annotation, validation, or quality assurance activities.
- Preferable familiarity with data labeling platforms like Label Studio or Prodigy.
- Working knowledge of spreadsheets, databases, or other data management systems.
- High attention to detail and capability to follow structured instructions for data-related workflows.
- Strong written communication skills to clearly document processes and guidelines.
Additional Information
This position is a remarkable opportunity to engage with a top-tier global company in the Data Infrastructure and Analytics sector. By contributing to the creation of reliable AI training datasets, the role supports scalable data solutions that enhance model accuracy across various applications.
Equal Opportunity Statement
The employer practices inclusive hiring based strictly on skills and qualifications, welcoming all qualified applicants irrespective of background or previous work history. Selection focuses solely on demonstrated competencies.
Industry
Data & Analytics