GlobalLogic is hiring a Quality Analyst – Data Collection in Gurgaon for an on-site opportunity focused on reviewing and validating first-person/egocentric video collected through VR headsets for AI model training. The role is ideal for professionals with experience in video QA, data annotation, visual auditing or AI dataset testing who have strong attention to detail and are comfortable working in rotational shifts.
🏢 About GlobalLogic
GlobalLogic is a digital engineering company and part of the Hitachi Group. GlobalLogic works at the intersection of data, design and engineering, helping organizations build digital products, platforms and intelligent solutions. Its areas of expertise include digital engineering, data and AI, content engineering, cloud and product development.
GlobalLogic’s India operations include Gurgaon/Gurugram, Noida, Bengaluru, Hyderabad, Pune, Chennai and Nagpur. The company’s Gurgaon location is listed at ASF Insignia SEZ, Gwal Pahari, Gurugram.
This particular opening is especially relevant to the company’s data and AI work because the selected candidate will help ensure that high-quality, compliant datasets are available for AI model training.
📌 Job Overview
- Company: GlobalLogic
- Role: Quality Analyst – Data Collection
- Job Code: IRC304981
- Experience: 1–3 Years
- Location: Gurgaon/Gurugram, Haryana
- Work Model: On-site
- Contract: 3 months, with possible extension based on performance, as stated in the hiring post
- Shifts: Rotational shifts
- Schedule: 5 working days + 2 week-offs
- Education: Graduate degree in any discipline
- Preferred Background: IT, Computer Science, Media or related fields
- Joining: Immediate joiners preferred
- Core Area: AI Data Collection / Non-Personal Data Collection
🎯 What Will You Do in This Role?
The role is different from conventional software QA. You will perform human visual quality checks on egocentric videos recorded through Meta Quest 3 VR headsets and verify whether footage meets defined quality and privacy criteria.
Your responsibilities include checking whether hands and interacted objects remain visible, validating hand-tracking overlays, identifying motion blur, exposure and contrast problems, and processing recordings through automated validation tools. The official JD specifies a requirement for less than 2% bad-quality frames.
⭐ Why This Role Is Good for Experienced Professionals
For professionals with 1–3 years of experience, this role provides practical exposure to AI dataset quality, computer-vision data, VR-generated content and responsible data handling. It can be particularly useful for people coming from video QA, content moderation, annotation, visual inspection, data operations or AI data-labeling environments.
Unlike a purely repetitive inspection role, the position combines visual auditing, automated quality validation, privacy compliance, data processing and structured reporting. Experience gained here can support future opportunities in AI Data Quality, Data Annotation, Computer Vision QA, AI Testing and Quality Operations.
🧩 Skills Required
- Strong visual observation and attention to detail
- Video QA and media inspection
- Data annotation or AI dataset validation
- Understanding of video quality parameters
- Ability to identify blur, exposure, contrast and tracking issues
- Privacy and PII awareness
- Basic video trimming and formatting
- Cloud/shared-drive handling
- Data extraction and file management
- Clear written rejection comments
- Daily QA reporting and defect categorization
- Ability to follow strict quality guidelines consistently
- Comfortable working rotational shifts
- Basic understanding of AI/ML data pipelines is an advantage
🧑💻 Expected GlobalLogic Interview Rounds
Round 1 – HR/Recruiter Screening: Education, experience, location, rotational-shift availability, immediate joining and communication skills.
Round 2 – Team Lead/Quality Discussion: Questions around your previous QA/data-annotation work, visual inspection methodology, accuracy, handling repetitive tasks and meeting daily productivity targets. Recent GlobalLogic Associate Analyst reports mention Team Lead/HR-manager discussions and questions related to the actual work.
Round 3 – Practical/Role Assessment: You may be given sample visual/video scenarios and asked to identify quality problems, privacy violations, tracking issues or acceptance/rejection conditions.
Final HR/Managerial Discussion: Contract terms, shift flexibility, joining date, salary and project expectations may be discussed.
💰 Salary Range
The employer has not published a salary/package for IRC304981. As a third-party reference, Glassdoor salary submissions for GlobalLogic Quality Analysts with 1–3 years in Gurgaon include approximately ₹1.7–₹3.2 LPA in reported total/base-pay submissions, while AmbitionBox lists a broader ₹2–₹4.1 LPA range for Quality Analyst roles with 1–3 years in Gurgaon.
Therefore, ₹2–4 LPA should be treated only as an indicative market/company-data reference, not the confirmed salary for this 3-month contractual opening.
📚Preparation Tips
1. Train your visual QA eye: Practice identifying blur, overexposure, underexposure, low contrast, occlusion and frame-level glitches.
2. Understand egocentric video: Know why hand visibility, object visibility and camera positioning matter when collecting first-person AI-training data.
3. Study tracking failures: Be ready to explain how you would identify a skeleton/hand overlay that drifts away from the actual hand.
4. Learn privacy rejection scenarios: Prepare examples involving faces, reflections, PII, mirrors and restricted content.
5. Practice acceptance decisions: Given a sequence of frames, explain whether you would accept, reject or escalate it and provide a concise reason.
6. Prepare for productivity questions: Understand how you would maintain accuracy while processing large volumes without creating a QC or upload backlog.
📝 Resume Tips
Place Video QA, Data Annotation, Visual Quality Auditing, AI Dataset Testing or Content Quality prominently in your headline if applicable. Add measurable achievements such as videos reviewed per day, annotation accuracy, rejection accuracy, SLA adherence or backlog reduction.
Mention experience with video-processing tools, cloud drives, media inspection software and QA reporting. Include examples where you identified privacy violations, visual defects or data-quality problems. Avoid making the resume look like a conventional Selenium/API testing profile if your experience is primarily visual or data QA—the JD is strongly centered on AI data quality and video auditing.
📩 How to Apply
👉 Application Link: Click Here
Search for GlobalLogic Quality Analyst (Data Collection) – IRC304981 on the official GlobalLogic/Hitachi careers portal and apply using the job code. The official listing confirms Gurgaon, 1–3 years, on-site work and the Engineering & Science function.
Before applying, ensure your resume clearly mentions 1–3 years of relevant experience, immediate availability, rotational-shift flexibility and visual/data-quality expertise.
🚀 If you have experience in video QA, data annotation, visual auditing or AI dataset validation, this GlobalLogic opportunity offers hands-on exposure to the quality side of AI data collection.
