- Experience
- Any
- Salary
- USD 40 – USD 60 / hour
- Openings
- 1
- Posted
- 2 gün önce
- Work mode
- Work from home
- Eligibility
- Open to all qualified individuals based on skills and expertise, without discrimination on background or prior employment.
- Resume
- Required to apply
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Job description
Role Summary
We are recruiting an Information Manager to work remotely on a full-time basis, responsible for managing human-annotated datasets used in AI model training and evaluation. This position demands overseeing data collection, validating labels, and ensuring the quality and consistency of datasets for downstream applications.
Key Duties
- Manage and keep human-annotated data sets current for AI training purposes.
- Conduct thorough reviews of data labels to maintain uniformity and data integrity.
- Work collaboratively with diverse teams to understand data needs and address annotation issues.
- Create and maintain documentation covering data gathering processes, labeling standards, and quality assurance protocols.
- Track and improve the performance of data pipelines to boost operational efficiency.
Qualifications and Skills
- Experience in data annotation, validation, or quality assurance is essential.
- Familiarity with data labeling tools like Label Studio or Prodigy is advantageous.
- Competent in handling databases, spreadsheets, or various data management software.
- High attention to detail and adherence to structured guidelines in data processing tasks.
- Proficient written communication skills for precise documentation of processes and procedures.
Additional Information
This position provides the chance to join a leading company within the Data Infrastructure and Analytics sector, playing a vital role in delivering superior AI training datasets that enhance model outcomes across multiple use cases.
Equality & Diversity Statement
The employer practices inclusive hiring based strictly on technical skills and qualifications, welcoming all eligible candidates without bias related to background or past employment.
Industry
Data & Analytics