
AI Data Assurance Specialist
1 day ago
About the Role:
As an AI Data Quality Analyst, you will play a crucial role in ensuring the accuracy and reliability of our company's data. This is a challenging and rewarding position that requires strong analytical skills, attention to detail, and effective communication.
Key Responsibilities:
- Quality Audits: Conduct thorough audits to ensure data meets established quality benchmarks.
- Statistical Reporting: Develop and implement statistical methods to evaluate data quality.
- Root Cause Analysis: Analyze errors and trends to identify root causes and propose remediation strategies.
- Edge-Case Management: Resolve and analyze edge-case annotations to ensure quality and identify areas for improvement.
- Tooling: Become proficient in using annotation and quality control tools to perform reviews and track quality metrics.
- Guidelines: Develop expertise in project-specific guidelines and provide feedback for potential clarifications or improvements.
Continuous Improvement:
- Automation: Identify opportunities to enhance analytics, provide deeper insights, and improve efficiency through automation.
- Documentation: Develop and maintain up-to-date documentation on quality standards, annotation guidelines, and quality control procedures.
- Feedback: Provide regular feedback that identifies areas for improvement across the annotation pipeline.
Required Qualifications:
- 1+ years of experience as a data analyst with exposure to data quality and/or data annotation - ideally within an AI/ML context.
- Familiarity with basic concepts of AI/ML pipelines and data.
- Strong analytical and problem-solving skills with exceptional attention to detail.
- Excellent written and verbal communication skills, with ability to clearly articulate quality issues and collaborate with diverse teams.
- Ability to work independently and manage time effectively to meet deadlines.
- Strong problem-solver who thinks critically and drives innovation and continuous optimization.
- Quick learner with ability to work independently in fast-paced environment.
- Strong focus on detail, balanced against strategic priorities.
- Positive can-do attitude and ability to easily adapt to new environments.
- Not afraid to speak up.
Preferred Qualifications:
- Familiarity with data annotation tools (e.g. Labelbox, Dataloop, LabelStudio etc.).
- Experience working with multi-modal AI/ML datasets (images, videos, text, audio).
- Prior experience in agile or fast-paced tech environment with exposure to AI/ML pipelines.
- Knowledge of programming languages (e.g. Python).
- Knowledge of concepts and principles of data quality for AI/ML models and impacts it can have on model performance.
- Working understanding of common quality metrics and statistical methods used in AI/ML data quality.
- Knowledge of AI/ML concepts and experience with data for AI/ML models.
- Experience in prompt engineering and leveraging LLMs in day-to-day work.
Education / Certifications:
- BS/MS degree in Statistic, Mathematics, Computer Science, Computer Engineering, or directly related field.
Work Location / Work Schedule / Travel:
- Open to all sites in PH.
- Full-time Work-from-Home (onsite as needed).
- Day Shift to Mid Shift.
We believe in fostering a culture of inclusivity and diversity, where everyone feels valued and empowered to contribute their best work.
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