Associate Analyst (Video Content Analyst and Data Collection)

Hitachi, Ltd.; Gurgaon; Remote; INR 250,000 - 450,000; Full time

Benefits offered by this job

Flexible work schedules

Work from home options

Paid time off

Job summary

GlobalLogic in India is seeking a detail-oriented candidate for a dual-role in egocentric data collection and video content annotation and quality review. You will work hands-on with head-mounted hardware to capture first-person footage and annotate micro-actions with precise timestamps.

The role emphasizes data integrity, adherence to privacy standards, and the ability to maintain high accuracy across large review queues. A strong command of English and meticulous writing are essential.

Qualifications

• Familiarity with video labeling/editing software and understanding of frame rates (FPS) and timestamps.
• Strong written and verbal English skills with precise grammar and concise descriptions.
• Ability to spot micro-movements and precise cut points in fast-moving videos.
• Analytical ability to break down complex activities into step-by-step tasks.

Responsibilities

• Field execution and task performance using head-mounted hardware to capture first-person video data.
• Annotate and segment videos with precise start and end timestamps; describe tasks in clear captions.
• Review for data integrity and adherence to privacy standards; flag fraudulent or non-authentic content.
• Meet daily/weekly quotas for video hours processed and segments annotated.

Skills

Video labeling

Frame rates

English proficiency

Attention to detail

Analytical thinking

Typing speed 30-35 wpm

Tools

MS Office / Google Workspace

Job description

Job Description

Position Summary

We are seeking a detail-oriented, energetic, and physically active candidate to join our team in a dynamic dual-function role: Egocentric Data Collection and Video Content Annotation & Quality Review. In this position, you will play a hands-on role in capturing and curating high-value training datasets for cutting-edge Physical AI and robotics models.

Core Responsibilities (Egocentric Data Collection)

• Collect high-quality, first-person (egocentric) video footage across diverse real-world environments (e.g., retail stores, warehouses, hospitality venues, workshops, and lab settings) using advanced head-mounted hardware, including Meta Quest 3 VR headsets.

Video Annotation & Review:

• Review and analyze first-person recordings capturing human and robotic task execution.
• Segment and annotate micro-actions, generating clear, descriptive captions and step-by-step breakdowns of the tasks performed.

Data Integrity & Intent Verification:

• Identify and flag fraudulent intent, artificial motion, or non-authentic behavior in recorded data to ensure videos capture genuine, purposeful task execution.
• Verify that all recorded content strictly adheres to established quality, technical, and privacy standards.

Who You Are

If you have a strong interest in Physical AI and Robotics, solid computer literacy, sharp analytical judgment, and an exceptional eye for detail, this role offers an ideal entry point into the AI/ML industry.

Requirements

Key Skills & Qualifications

• Technical Skills:Familiarity with video labeling/editing software, understanding of frame rates (FPS) and timestamps.
• Language & Writing:Strong written and verbal English skills with precise grammar and concise descriptive capabilities.
• Attention to Detail:Ability to spot micro-movements, subtle activity shifts, and precise cut points in fast-moving videos.
• Analytical Ability:Ability to break down complex human activities into step-by-step sequential tasks.
• Strong attention to detail and the ability to sustain focus and accuracy across high volumes of repetitive review work.
• Sound judgment and critical thinking to evaluate intent, context, and authenticity in video content.
• Reading Ability: Comfortable decoding and applying detailed written instructions and rubrics.
• Writing Ability: Able to describe video content and review findings with appropriate grammar, vocabulary, and structure.
• Typing Speed: 30-35 words per minute with 90% accuracy
• Ability to work effectively under supervision, manage time, and meet tight deadlines in a fast-paced environment.
• Comfort working with large-scale datasets and review queues.
• Basic computer proficiency, familiarity with MS Office / Google Workspace, and the ability to quickly learn new review and annotation tools.
• High integrity and discretion when handling sensitive or private footage

Job Responsibilities

Key Responsibilities & Operational Duties (Egocentric Data Collection)

• Field Execution & Task Performance
• Perform realistic, structured, and multi-step physical activities while wearing the Meta Quest 3 headset to capture clear first-person video data.
• Execute a wide range of natural hand-object interactions, including picking, placing, reaching, bending, turning, carrying, packing, sorting, organizing, scanning, loading, and trolley transport.
• Operate across diverse, real-world scenes such as retail shelving areas, hotel guest rooms, warehouse packing benches, assembly stations, and laboratory setups.
• Ensure all tasks demonstrate dynamic whole-body movement and clear hand visibility without blocking camera views.

Key Roles & Responsibilities (Video Annotation and Review)

1. Video Segmentation & Timestamping
   - Carefully review raw video footage to identify key actions, events, and task transitions.
   - Split/cut long video files into micro-segments with exact start and end timestamps (down to the millisecond/frame level).
   - Classify video segments according to specific predefined categories, action taxonomies, or labeling guidelines.
2. Action-Level Captioning & Text Annotation
   - Task Description: Write clear, concise, and objective natural language sentences describing the exact task or action taking place within each segment (e.g., "Person picks up the blue wrench with their right hand and turns the bolt counter-clockwise").
   - Follow strict guidelines on grammar, tense, vocabulary, and formatting to maintain consistency across datasets.
   - Ensure descriptions capture context, objects used, sub-tasks, and spatial/temporal relationships accurately.

Quality & Compliance

• Perform realistic, structured, and multi-step physical activities while wearing the Meta Quest 3 headset to capture clear first-person video data.
• Execute a wide range of natural hand-object interactions, including picking, placing, reaching, bending, turning, carrying, packing, sorting, organizing, scanning, loading, and trolley transport.
• Operate across diverse, real-world scenes such as retail shelving areas, hotel guest rooms, warehouse packing benches, assembly stations, and laboratory setups.
• Ensure all tasks demonstrate dynamic whole-body movement and clear hand visibility without blocking camera views.
• Maintain high accuracy and consistency across large volumes of video data.
• Perform self-audits and peer reviews to detect and correct misaligned timestamps or ambiguous task descriptions.
• Adhere strictly to project-specific annotation guidelines and edge-case instructions provided by AI/ML engineers or Team Leads.

Daily Output & Collaboration

• Meet daily and weekly quota targets for video hours processed and segments annotated.
• Collaborate with Quality Analysts (QA) and Data Operations Managers to resolve edge cases and refine descriptive guidelines.

What we offer

Exciting Projects: We focus on industries like High-Tech, communication, media, healthcare, retail and telecom. Our customer list is full of fantastic global brands and leaders who love what we build for them.

Collaborative Environment: You Can expand your skills by collaborating with a diverse team of highly talented people in an open, laidback environment — or even abroad in one of our global centers or client facilities!

Work-Life Balance: GlobalLogic prioritizes work-life balance, which is why we offer flexible work schedules, opportunities to work from home, and paid time off and holidays.

Professional Development: Our dedicated Learning & Development team regularly organizes Communication skills training(GL Vantage, Toast Master),Stress Management program, professional certifications, and technical and soft skill trainings.

Excellent Benefits: We provide our employees with competitive salaries, family medical insurance, Group Term Life Insurance, Group Personal Accident Insurance , NPS(National Pension Scheme ), Periodic health awareness program, extended maternity leave, annual performance bonuses, and referral bonuses.

Fun Perks: We want you to love where you work, which is why we host sports events, cultural activities, offer food on subsidies rates, Corporate parties. Our vibrant offices also include dedicated GL Zones, rooftop decks and GL Club where you can drink coffee or tea with your colleagues over a game of table and offer discounts for popular stores and restaurants!

About GlobalLogic

GlobalLogic is a full-lifecycle product development services leader that combines chip-to-cloud software engineering expertise and vertical industry experience to help our customers design, build, and deliver their next-generation products and digital experiences. We expertly integrate design, complex engineering, and agile delivery capabilities to deliver superior business outcomes for global brands in telecom, automotive, healthcare, technology, media and entertainment, manufacturing, and semiconductor industries.

Headquartered in Silicon Valley, GlobalLogic employs over 25,000 designers and engineers across the globe. Analysts like NASSCOM and Zinnov have recognized us for being a top company in our field, and we are consistently nominated as a preferred employer by both global HR consultative firms and local job boards. By creating a work environment that is exciting and flexible, and by fostering growth through ongoing learning and development programs, we empower our employees to achieve both their professional and personal goals.

At GlobalLogic, we make amazing products — and careers.