Lead Quality Analyst – Advanced AI Data Annotation – Kolkata, India
Role Overview
The QA Lead will be accountable for annotation quality governance, audit frameworks, calibration management, and continuous improvement initiatives across advanced annotation programs.
Full Job Posting
Role Summary
The QA Lead will be accountable for annotation quality governance, audit frameworks, calibration management, and continuous improvement initiatives across advanced annotation programs.
Key Responsibilities
- Develop and maintain quality assurance frameworks, audit models, and review processes.
- Validate annotation outputs against client guidelines, quality targets, and acceptance criteria.
- Conduct calibration sessions with annotators, team leads, and project stakeholders.
- Analyze quality trends, identify root causes, and implement preventive actions.
- Prepare quality scorecards, dashboards, and performance reports.
- Manage gold-standard datasets and benchmark evaluations.
- Drive corrective and preventive action plans to improve delivery quality.
- Participate in client-facing quality reviews and quality improvement discussions.
Required Skills
- 3–5 years of annotation quality assurance experience.
- Strong knowledge of computer vision annotations, LiDAR labeling, tracking workflows, and quality scoring methodologies.
- Exceptional attention to detail and data accuracy.
- Ability to interpret complex annotation guidelines and apply consistent quality standards.
Preferred Industry Background
Experience in AI data services, data annotation, data labeling, or computer vision data operations.
Exposure to advanced annotation quality assurance programs and AI training data environments is preferred.
Experience working with computer vision, LiDAR, tracking workflows, or other advanced AI data annotation environments is an advantage.
Work Details
Location: Kolkata, India
Why Join Fusion CX?
High-quality AI depends on high-quality data, and quality assurance is critical to making annotation programs reliable, consistent, and scalable. As a QA Lead for an advanced AI data annotation process, you will help strengthen Fusion CX’s advanced annotation capability through quality governance, calibration, analysis, and continuous improvement.
What You’ll Gain
Build expertise in AI data quality assurance and advanced annotation programs.
Work with computer vision annotations, LiDAR labeling, tracking workflows, and quality scoring methodologies.
Develop and strengthen annotation QA frameworks, audit models, and review processes.
Contribute to gold-standard datasets and benchmark evaluations.
Work with annotators, team leads, project stakeholders, and clients on quality improvement.
Gain experience in quality analytics through scorecards, dashboards, trend analysis, and root-cause identification.
Strengthen your expertise across AI Data Quality, Annotation QA, Computer Vision Data, LiDAR Data, and AI Operations.
Apply Today
If you’re searching for QA Lead jobs in Kolkata, AI data annotation jobs in Kolkata, annotation quality assurance jobs, computer vision QA jobs, LiDAR annotation jobs, AI data quality jobs, data labeling jobs, or AI operations careers, apply today and bring your quality expertise to Fusion CX.
About Fusion CX
Global provider of customer experience and BPO solutions.
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