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Responsibilities
Role type: InternshipLocation: RemoteDuration: 3 monthsWorking days: Monday–SaturdayPPO if performance is satisfactoryThis is an internal role at Weekday. Not a role by a client.Weekday is an AI-native recruiting platform. We are backed by Y Combinator and Venture Highway (now General Catalyst). We have built the largest white collar talent database in India and have built tools to run outbound recruiting campaigns to them.Read this before you applyThis is not a glamorous role. It's careful, high-volume, detail-obsessed work — and the models we're building are only as good as the data you produce. You'll spend your day looking at documents and drawing bounding boxes around the right things: marking exactly where a field, a block of text, a table, or a signature sits on the page, over and over, correctly. It's precise, repetitive work, and it's the foundation the whole annotation project stands on. One sloppy box teaches the model the wrong thing.If you get satisfaction from doing something exactly right, at pace, without cutting corners — you'll do well here. If you need constant variety and get bored by repetition, this isn't for you.What you'll actually doLooking at documents and drawing accurate bounding boxes around the regions that matter — fields, text blocks, tables, stamps, signatures, whatever the project calls forLabelling and classifying each box correctly according to the annotation guidelinesKeeping your boxes tight and consistent — same standard on document one and document one thousandFlagging edge cases, ambiguous documents, and gaps or contradictions in the guidelines instead of guessingReviewing and correcting your own (and sometimes others') annotations to keep quality highHelping refine the labelling process so annotation gets faster and more consistent over timeYou'll be measured on accuracy, consistency, and throughput — how much high-quality annotated data you produce, not hours logged.What we're looking forYou're precise and patient — you can draw the same clean box the hundredth time as well as the firstYou sweat the details; a box that's slightly off or a wrong label bothers youYou take ownership. When a batch is yours, it's done right — no follow-ups neededYou follow guidelines closely but speak up the moment something doesn't fit themYou're comfortable with repetitive, screen-heavy work and a Monday–Saturday paceYou care about the quality of your work even when nobody's checking every boxWhat you getA front-row look at how a venture-backed startup is built and run profitablyA real understanding of what goes into the data behind AI models — the part most people never seeReal ownership of the ground truth the project depends onA PPO if you performHands-on experience with the tools and habits that make you genuinely useful anywhereWe may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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