AI Data Quality Assurance Specialist

13 hours ago

Tarlac City, Central Luzon, Philippines beBeeData Full time $60,000 - $75,000

Job Title

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As an AI Data Quality Assurance Specialist, you will play a crucial role in ensuring the accuracy and reliability of AI models by auditing and analyzing datasets.

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The ideal candidate will possess strong analytical and problem-solving skills, with excellent written and verbal communication abilities. They will be able to work independently and manage time effectively to meet deadlines.

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  • Quality Audits: Conduct thorough quality audits on annotated datasets to ensure they meet established guidelines and quality benchmarks.

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  • Statistical Reporting: Leverage metrics such as F1 score and inter-annotator agreement to evaluate data quality and identify areas for improvement.

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  • Root Cause Analysis: Analyze annotation errors, trends, and project documentation to identify root causes and propose remediation strategies.

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  • Edge-Case Management: Resolve and analyze edge-case annotations to ensure quality and identify improvement areas.

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  • Tooling: Proficiently use annotation and quality control tools to perform reviews and track quality metrics.

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  • Guidelines: Become an expert in project guidelines and provide feedback for clarifications or improvements.

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  • Continuous Improvement: Identify automation opportunities and contribute to documentation of quality standards and procedures.

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Requirements:

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  • 1+ years of experience as a data analyst with exposure to data quality and/or data annotation, ideally in an AI/ML context.

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  • Familiarity with basic concepts of AI/ML pipelines and data.

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Desirable Skills:

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  • Strong analytical and problem-solving skills with an exceptional eye for detail.

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  • Excellent written and verbal communication skills to clearly articulate quality issues and collaborate with diverse teams.

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  • Ability to work independently and manage time effectively to meet deadlines.

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  • Strong problem-solving, critical thinking, and continuous optimization mindset.

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  • Ability to work independently in a fast-paced environment with a focus on detail and strategic priorities.

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  • Positive can-do attitude and adaptability to new environments.

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  • Not afraid to speak up.

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Why You'll Love This Role:

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  • Work from anywhere: Enjoy the flexibility of working remotely and being productive in any environment.

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  • Every dataset is unique: Audit, analyze, and improve AI/ML datasets across varied projects.

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  • Visible impact: Your quality checks and automation ideas will influence AI model performance.

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  • Room to grow: Build expertise in AI data quality and expand your influence as projects grow.

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  • Mission-driven team: Collaborate with analysts, engineers, and stakeholders to create accurate, reliable AI.

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The Impact You'll Make:

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  • Guard data integrity through audits: Conduct quality audits against guidelines and benchmarks to uphold data reliability.

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  • Pinpoint and resolve annotation issues: Analyze error patterns and root causes to elevate quality.

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  • Optimise annotation processes: Proficiently use QA tools, propose automation, and maintain documentation of standards.

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  • Collaborate and coach: Work with stakeholders and annotators to clarify requirements and support skill development.

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  • Track and communicate quality performance: Regularly report metrics and insights to drive continuous improvements.

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"]},

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