GlobalLogicVia Unstop

Posted today

Associate Analyst (Video Content Analyst and Data Collection)

Pay

Salary (undisclosed)

Location

Gurgaon, India

On site

Apply by

18 Nov

9 days left

Skills this role screens for

Data collectionVideo editingAttention to detailWritten communicationCritical thinking

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Responsibilities

What you'll do

  • Perform physical activities wearing the Meta Quest 3 headset to capture first-person video data
  • Execute natural hand-object interactions like picking, placing, and assembling across setups
  • Ensure tasks demonstrate dynamic whole-body movement and clear hand visibility
  • Review raw video footage to identify key actions, events, and task transitions
  • Split long video files into micro-segments with exact start and end timestamps
  • Classify video segments according to predefined categories and labeling guidelines
  • Write clear, concise natural language sentences describing tasks in each segment
  • Meet daily and weekly quota targets for video hours processed and segments annotated
  • Collaborate with QA and Data Operations Managers to resolve edge cases

Requirements

What they're looking for

  • Familiarity with video labeling/editing software and frame rates
  • Strong written and verbal English skills with precise grammar
  • Ability to spot micro-movements and precise cue points in fast-moving video
  • Ability to break down complex human activities into sequential tasks
  • Maintain focus and accuracy across high volumes of repetitive review work
  • Typing speed of 50–55 words per minute with 90% accuracy
  • Basic computer proficiency and familiarity with MS Office or Google Workspace
Full description from the employer

GlobalLogic is hiring for the role of Associate Analyst (Video Content Analyst and Data Collection)! Responsibilities of the Candidate: • Field Execution & Task Performance: Perform realistic, structured, and multi-step physical activities while wearing the Meta Quest 3 headset to capture clean first-person video data. • Execute a wide range of natural hand-object interactions, including picking, placing, reaching, bending, turning, carrying, packing, sorting, organizing, assembling, testing, and tool transport across benches, assembly stations, and laboratory setups. • Ensure all tasks demonstrate dynamic whole-body movement and clear hand visibility without blocking camera views. 1. Video Segmentation & Timestamping • Carefully review raw video footage to identify key actions, events, and task transitions. • Split long video files into micro-segments with exact start and end timestamps (down to the millisecond 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 performed in each segment. • 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 • Maintain high accuracy and consistency across large volumes of video data. • Adhere strictly to project-specific annotation guidelines and edge-case instructions provided by AIML 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. Requirements: • 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 cue points in fast-moving video. • 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: Ability to describe video content and review findings with appropriate grammar, vocabulary, and structure. • Typing Speed: 50–55 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.

GlobalLogic

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