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Wadhwani AI

Data Annotator

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  • Support critical data annotation tasks for AI models aimed\n at improving healthcare outcomes, specifically in child\n anthropometry and growth monitoring.
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  • Review videos and/or images and annotate specific features\n related to:<\/span>
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    • Video quality<\/span>
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    • Video content<\/span>
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    • Identification and marking of different objects within videos/images
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    • Evaluate videos against predefined quality criteria to\n determine validity, including:<\/span>
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      • Video errors and quality issues<\/span>
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      • Child/baby\-related concerns<\/span>
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      • Lighting and shadow issues<\/span>
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      • Presence of other individuals in the frame<\/span>
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      • Problems with reference objects<\/span>
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      • Errors in capturing the movement trajectory or arc
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      • Perform additional annotation or validation tasks as\n required by the project.<\/span>
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        Requirements<\/h3>

        Educational Qualification<\/span>
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        • Bachelor\u2019s degree in any relevant discipline from a\n recognized university.<\/span>
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        • Candidates with backgrounds in life sciences, computer\n science, healthcare, or related fields will be preferred.<\/span>
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          Experience<\/span>
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          Essential:<\/span> <\/b>
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          • 0\u20133 years of experience in image/video annotation, quality\n review, or data labelling projects.<\/span>
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          • Familiarity with annotation tools and attention to detail in\n reviewing visual data.<\/span>
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            Preferred Skills<\/span>
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            • Good observation skills and ability to identify\n errors/inconsistencies in images and videos.<\/span>
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            • Strong communication and interpersonal skills.<\/span>
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            • Prior exposure to AI/ML or healthcare\-related projects,\n particularly child health, anthropometry, or growth monitoring,\n is an advantage.<\/span>
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