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Junior Data Validation Engineer (Position #3000)

Hod Hasharon, Israel

Full time

Job description

We are seeking a detail-oriented and analytical Junior Application Engineer to support validation and verification of our AI-driven imaging and diagnostic systems. This role focuses on ensuring the quality and reliability of algorithm outputs and annotated datasets, as well as supporting the development of test and verification methodologies across the system. The ideal candidate enjoys working with data, analyzing results, and collaborating with cross-functional teams in a fast-paced R&D environment.

Requirements:

  • Review and manage image datasets delivered by third-party data annotation teams to ensure quality and consistency with internal guidelines

  • Analyze and validate algorithm outputs, identifying discrepancies, edge cases, and opportunities for improvement

  • Collaborate with computer vision and software engineers to report findings and support iterative algorithm development

  • Define and implement testing and verification procedures for system-wide algorithm performance

  • Develop tools, scripts, or workflows to assist with dataset validation and result analysis

  • Mange data collected from clinical trials and deployed systems

  • Document validation processes, findings, and performance metrics for internal reporting and development tracking

  • Work with R&D teams to improve annotation standards, testing methodologies, and dataset quality


Must-Haves

  • Bachelor’s degree in computer science, engineering, or related field

  • Strong analytical mindset with attention to detail and ability to work with complex datasets

  • Experience working with Python, Matlab or similar scripting languages for data analysis

  • Ability to analyze results, identify patterns or anomalies, and clearly communicate findings

  • Strong organizational and documentation skills

  • Excellent communication skills and ability to collaborate with cross-functional engineering teams

  • Fluent in Hebrew and English


Nice-to-Haves

  • Experience working with image annotation or segmentation datasets

  • Familiarity with computer vision workflows or machine learning evaluation metrics

  • Experience using Adobe Photoshop or similar image editing tools for visual inspection and annotation review

  • Exposure to AI model validation, dataset quality assurance, or testing methodologies

  • Experience working in a startup or fast-paced R&D environment

  • Familiarity with version control tools such as Git and DVC or experiment tracking platforms like MLflow


Apply to our positions with the following form, or send your CVs to jobs@luminxsmile.com and state the position:

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