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Job posters upload screenshots, PDFs and the occasional photograph of a printed notice, and something has to turn all of that into a structured listing.
You will prompt multimodal models to read an uploaded poster and return clean JSON with title, location, stipend and deadline, then deal with everything that goes wrong. Rotated scans. Hindi and English mixed inside one document. Tables that are really images. Stipend figures written in lakhs. Your target is field level accuracy on a test set of six hundred real uploads, and you will build that test set yourself in the first fortnight. Labelling is less glamorous than prompting and it matters more, which is a lesson worth learning early.
Fully remote within India, with a short daily check in and a longer Thursday review. You will have access to vision models from both OpenAI and Anthropic and an experiment budget you can spend without asking permission each time. The cycle after that is steady: measure, change one variable, measure again, and keep a record of both.
MailerMen runs a verified job board covering startup and product roles across twelve markets, and takes on interns across engineering, data, design and marketing to build it.