opengreenhousegreylock
Data Collector & Annotator - Night Shift
Instawork
LocationBengaluru, Karnataka, India, Bangalore
Last observed2026-06-13 05:23:23.373555
Job idgreylock-instawork:greenhouse:4682997006
Instawork is on a mission to create meaningful economic opportunities for skilled hourly professionals in communities around the globe. Our AI-powered labor marketplace helps local businesses scale, and enables global technology companies to push the frontiers of robotics and AI. Backed by world-class investors like Benchmark, Spark Capital, Craft Ventures, Greylock, Y Combinator, and others, weβre looking for exceptional talent to reimagine the way the world works. Be part of a cutting-edge AI data collection project, capturing real-world actions and annotating video footage to train next-generation robotics. π Location: Marathalli, Bengaluru πShift: Night Shift Options: 8:30 PM β 3:00 AM | 9:00 PM β 6:00 AM π Salary: βΉ27,000/month + Incentives π Work Location: Kitchen / In-Office Setup About the Role We are looking for motivated individuals to join our night shift data collection team for an AI robotics project. As a Data Collector & Annotator, you will record structured video footage of real-world tasks and annotate the recordings to help train robotic systems. This role operates across two night shift environments β a kitchen setup and an in-office setup β depending on your assigned location. Your shift and location will be confirmed at the time of onboarding. No prior experience in AI or technology is required. Full training is provided before you begin work. Key Responsibilities β’ Record structured video footage of assigned tasks using a camera device (iPhone on chest mount) β’ Follow the prescribed annotation format β clearly stating task names, commands, and action sequences during recording β’ Perform physical actions accurately as per the task list assigned for the shift β’ Submit demo recordings within the designated time window for quality review β’ Maintain consistent quality standards as trained β script compliance, action accuracy, and environment setup β’ Follow guidance from the Supervisor and Trainer during the shift β’ Complete the same assigned task for the full shift duration as per the project requirement β’ Kitchen setup: perform kitchen-related tasks (appliance handling, ingredient placement, cooking actions, etc.) β’ In-office setup: perform data collection using a camera device followed by annotation of recorded videos What We're Looking For β’ Minimum qualification: 10+2 (HSC) or equivalent β’ Freshers welcome β no prior experience required β’ Basic smartphone proficiency β comfortable handling and operating an iPhone β’ Good physical fitness β role involves standing, moving, and performing repeated physical actions during the shift β’ Ability to follow structured instructions precisely and consistently β’ Must be comfortable working night shifts (8:30 PM β 6:00 AM depending on assignment) β’ Punctual, reliable, and able to commit to fixed shift timings β’ Clear verbal communication β able to state task names and commands audibly on camera What We Offer β’ βΉ27,000 fixed monthly salary β higher pay for night shift commitment β’ Performance-based daily incentives on top of fixed salary β’ Full training provided before Day 1 β no prior experience needed β’ Structured work environment with dedicated Supervisor and Trainer support β’ Opportunity to be part of a high-growth AI data collection project Exact shift timing (8:30 PM β 3:00 AM or 9:00 PM β 6:00 AM) and location (kitchen or in-office) will be confirmed during the interview process. Our Values Empathy, Trust & Candor We put ourselves in the shoes of our colleagues and customers and donβt shy away from uncomfortable conversations, instead building trust through honest and direct feedback. Bias for Action We practice high-velocity decision-making, clear-eyed that we often operate with incomplete information. Growing quickly means itβs OK to be wrong, so long as we learn from our mistakes and course correct! Always Be Learning Weβre a curious bunch, and with AI transforming our workplace we encourage everyone to learn from each other, compounding our knowledge and e...
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