Video Annotator - Physical AI
Jobgether
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This role on the market
5 open annotator roles across 4 companies are on ApplySarthi right now, most of them in Bengaluru (3).
- Video Data AnnotatoriMerit Technology
- Data Collector & Annotator — Morning / Evening ShiftInstawork · bengaluru
- Data AnnotatorVernacular.ai · bengaluru
What annotator roles keep asking for: Spark (40%), Supply chain (40%), Machine learning (20%), NLP (20%) — counted across their open postings here.
Jobgether has 3,773 open roles listed here.
Counted across 14 company job boards, updated as roles open and close.
Preparing for this interview
Interviews for annotator roles keep coming back to Spark, Supply chain, Machine learning, NLP. Practise those questions before you sit with Jobgether.
Questions you are likely to be asked
- Why do you want to join Jobgether?
- Tell me about a time the data was messy or wrong. What did you do?
- How would you explain your model's result to someone who is not technical?
- What would you check first if a model's accuracy dropped after going live?
- When would you not use machine learning for a problem?
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Practise the Video Annotator - Physical AI at Jobgether interview free →Accountabilities: Review first-person and egocentric videos depicting human activities, tools, objects, and workflows in industrial or commercial environments. Divide videos into meaningful action segments and accurately identify the start and end timestamp of each action. Apply appropriate action labels and write concise, natural-language descriptions that accurately reflect what is visible. Identify relevant hands, objects, tools, and interactions within each video segment. Review model-generated annotations, correct inaccuracies, and ensure complete and consistent coverage. Follow established annotation guidelines and maintain consistent labeling standards across datasets. Identify and escalate ambiguous cases to reviewers when the correct annotation is unclear. Complete requested rework accurately and within assigned timelines. Consistently meet quality, accuracy, and productivity targets while working independently. Requirements 1+ year of hands-on experience working with Physical AI, robotics, or industrial egocentric video annotation. Prior experience annotating Physical AI datasets is mandatory. Strong understanding of temporal action segmentation, video chunking, action labeling, and timestamp precision. Ability to accurately describe visible actions, including interactions involving hands, tools, objects, and equipment. Experience using video annotation platforms or comparable data-labeling tools. Exceptional attention to detail and strong visual observation skills. Ability to follow detailed annotation guidelines and apply them consistently. Strong written communication skills for producing clear and accurate action descriptions. Ability to work independently in a remote environment and meet quality and productivity expectations. Availability for freelance work, with immediate availability preferred. Applicants should be prepared to provide a brief description of previous Physical AI annotation projects. Benefits Fully remote freelance opportunity available across India. Compensation of ₹750 per video hour . Opportunity to contribute to datasets supporting advanced Physical AI and robotics applications. Hands-on exposure to real-world industrial and commercial video data. Flexible freelance working environment. Opportunity to work on large-scale AI data annotation and human-feedback initiatives. Immediate joining preferred. Large-scale opportunity with 50+ annotator positions available.
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Listed on lever · posted 2026-10-06. ApplySarthi collects openings and links to application pages; the role is advertised by Jobgether, not by us.