Lead Quality Analyst – Advanced AI Data Annotation – Kolkata, India

Fusion CX; Kolkata District; On-site; INR 900,000 - 1,300,000; Full time

Job summary

Fusion CX invites you to join as QA Lead - Advanced AI Data Annotation in Kolkata, driving quality governance across annotation programs. You will audit outputs, calibrate teams, and implement continuous improvement with clients and stakeholders.

Ideal candidates have 3–5 years in annotation QA, deep knowledge of computer vision and LiDAR labeling, and a keen eye for detail to ensure data accuracy and consistent quality across complex AI projects.

Qualifications

• 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.

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.

Skills

QA Leadership

Annotation QA

Computer Vision

LiDAR labeling

Quality analytics

Job description

Great AI starts with data you can trust. Fusion CX is hiring a QA Lead - Advanced AI Data Annotation in Kolkata, India. If you're searching for QA Lead jobs in Kolkata, AI data annotation jobs, annotation quality jobs, computer vision QA jobs, LiDAR annotation jobs, or AI data quality careers, this opportunity offers the chance to drive quality governance across advanced annotation programs while working with annotation teams, project stakeholders, and client requirements. You will play a key role in ensuring annotation outputs meet defined quality standards through structured audits, calibration, quality analysis, benchmark evaluation, and continuous improvement.

Job Description:

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.

Job Requirements:

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.