Associate Analyst (Video Content Analyst and Data Collection) IRC307505

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, a Hitachi Group Company, is a trusted digital engineering partner to the world’s largest and most forward-thinking companies. Since 2000, we’ve been at the forefront of the digital revolution – helping create some of the most innovative and widely used digital products and experiences. Today we continue to collaborate with clients in transforming businesses and redefining industries through intelligent products, platforms, and services.