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We are testing a chatbot that helps tenants understand their rental agreements. It must explain, never advise, and it must say when someone needs a lawyer. You get a six-point rubric and 20 answers we already graded, so you can calibrate before you start. Score 300 answers in our spreadsheet: accuracy, tone, and whether it crossed into legal advice. Add a one-line reason for every score below 4. No legal background needed, but you must read carefully and be consistent. We spot-check 30 of your scores against ours.
We are training a model to catch bad product photos before they go on our store. You will label 2,000 images in a simple web tool: pick the product category (12 options) and tick any defects (blurry, cut off, wrong colour, watermark, cluttered background). Most images take a few seconds. Full instructions and 40 worked examples are provided. Accuracy matters more than speed: we review a sample and ask for fixes if more than 3 in 100 are wrong.
We are comparing two translation models on customer-support messages. For 400 English messages you will see two Vietnamese translations side by side. Pick the better one, score each from 1 to 5, and fix the worse one when it is below 3. You must be fluent in both languages. Southern and Northern usage are both fine; just tell us which you write.