About the role
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.