Data Quality Analyst at Insight Global Data Quality Analyst at Insight Global in San Carlos, California Posted in about 15 hours ago.

Type:

full-time

Data Quality Analyst Location:

Redwood City, CA Pay Rate:

$30-$37/hour

Employment Type:

6-month contract with extensions (Likely conversion)

Start Date :

This is an URGENT hire! Start ASAP. About the Role Insight Global is seeking a Data Quality Analyst to support a rapidly scaling AI data operations program focused on computer vision, robotics, and spatial intelligence. This individual will be responsible for both hands-on annotation work and quality analysis across large-scale datasets that power advanced AI systems. The ideal candidate enjoys working directly with data, has strong attention to detail, and can balance repetitive annotation tasks with deeper investigations into quality trends, reporting, and process improvement opportunities. Responsibilities Review and audit annotated datasets to ensure accuracy, consistency, and adherence to quality standards Investigate data quality issues, identify root causes, and recommend corrective actions Build and maintain dashboards, trackers, and reports to monitor QA performance and operational health Write SQL queries and utilize Python to analyze datasets and uncover quality trends Partner with annotation and operations teams to improve workflows, guidelines, and quality standards Test new QA, annotation, and workflow tools and provide structured feedback to product and engineering teams Track key quality metrics and develop recommendations for process improvements Support quality initiatives across video, image, 3D, and multimodal datasets Assist with calibration exercises and help maintain consistency across annotation teams Document findings, trends, and quality insights for leadership and operational stakeholders Perform hands-on data annotation, labeling, tagging, and quality review activities across multiple data modalities Validate annotation outputs, identify inconsistencies, and escalate edge cases for review Maintain productivity and quality targets while executing repetitive, detail-oriented annotation and QA tasks Support ongoing data preparation efforts that directly contribute to AI, robotics, computer vision, and spatial intelligence model development Required Qualifications 2+ years of experience in data annotation, data quality, quality assurance, or AI data operations Experience writing and troubleshooting SQL queries Working knowledge of Python for data analysis and reporting Experience building dashboards using Tableau, Power BI, Looker, or similar BI tools Advanced proficiency in Excel and Google Sheets Experience working with annotation, labeling, moderation, or QA platforms Strong analytical thinking and problem-solving abilities Excellent attention to detail and ability to identify patterns within large datasets Strong written and verbal communication skills Preferred Qualifications 4+ years of experience in AI data operations, data quality, or annotation programs Advanced SQL and Python skills Experience supporting AI, machine learning, computer vision, or robotics programs Experience working within large-scale technology companies or high-volume data operations environments Experience with video, image, 3D, or multimodal datasets Exposure to spatial computing, autonomous systems, or robotics data workflows Experience creating operational metrics, KPIs, and quality scorecards Why Join? Work on cutting-edge AI, robotics, and spatial computing initiatives Contribute directly to the training and improvement of next-generation AI models Gain exposure to large-scale data operations within a fast-paced technology environment Collaborate with cross-functional teams driving innovation in computer vision and robotics