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One-time QA test run for https://rentahuman.ai/qa. What to do: Test the complete RentAHuman /qa free-review experience as a genuinely new user. Start in a clean browser profile or incognito window with no RentAHuman cookies or active session. Begin screen and microphone recording before loading https://rentahuman.ai/qa and narrate what you expect, what is clear, and every point of confusion. Enter https://rentahuman.ai as the website to review. Wait for the AI-generated review plan, inspect and narrate whether it is specific and useful, then click the primary free-review action. Create a genuinely new RentAHuman account using an email or OAuth account you control. Never reveal a password, OTP, recovery code, private message, or other sensitive information in the recording: pause or obscure credential entry, then resume immediately afterward. Complete the free-review claim and verify that Run History opens automatically and contains the newly created run with an accurate status. Confirm that no card is required and no charge is requested. The test is not complete when the run is merely queued: return when the review is fulfilled, resume screen and microphone recording, open Run History, open the completed review, and verify that its recording and written evidence-backed findings are accessible and correspond to the requested test. You may combine the two recording segments into one final video. For every failure or blocker, capture the exact step, visible message, URL, timestamp, expected result, actual result, and whether retrying changes it. End with a concise verdict for each stage: landing page, URL submission, AI plan generation, signup, free-review claim, Run History redirect, fulfillment, completed report, and recording playback. Deliverable: - Test https://rentahuman.ai/qa following the instructions above. - Send video evidence for every issue in the accepted tester chat. - Record your screen and microphone audio for the full test. Narrate your actions, every error you find, and anything confusing, poor, or worth improving. - Attach the narrated video as an MP4, MOV, or WebM no larger than 512 MB, plus at least one representative screenshot. - For each issue include a short title, a severity (critical/high/medium/low), and exact steps to reproduce. - Submissions are reviewed automatically. $20.00 is released per accepted submission.
Find real Reddit, X.com, or similar public posts where people ask for an alternative to Amazon Mechanical Turk (or react to MTurk shutting down and need a replacement). Send three different people natural, human-written direct messages that mention Rent A Human as a possible alternative and include a relevant Rent A Human link. Do not reply publicly, do not comment, and do not use an AI tool to draft or send the messages. The messages must be written by you and should sound natural and relevant to each person's question. Only contact people who have publicly asked for an MTurk alternative. Do not spam, mass-message, misrepresent yourself, or contact the same person more than once.
Human Company builds expert-grade reinforcement-learning environments used to train and evaluate AI models on inference engineering. We are seeking an ML Systems Engineer to own inference-systems tasks end to end: choose a realistic objective, build the execution environment, implement robust ground-truth verifiers, and perform rigorous QA on fidelity, ambiguity, exploit resistance, and difficulty calibration. This bounty is a paid, four-hour technical work sample for candidates based in India. Strong submissions may lead to a remote full-time or monthly contract role with a broader compensation range of βΉ22-110 LPA, calibrated to experience and scope. Strong candidates have operated production inference systems and owned latency, throughput, or memory outcomes. Depth in at least one of the following is required, with working knowledge across the rest: serving stack internals (continuous/in-flight batching, chunked prefill, scheduling, admission control, KV-cache management); model efficiency (quantization, speculative decoding); distributed execution (tensor, pipeline, sequence, and expert parallelism, disaggregated prefill/decode, multi-replica balancing, elastic inference); hardware and compilation (GPU/FPGA/ASIC kernels, TensorRT-LLM, TVM, roofline-guided optimization); and statistically sound profiling and benchmarking. Contributions to vLLM, SGLang, TensorRT-LLM, or comparable systems are especially relevant. The accepted candidate will produce a compact design and verifier prototype for a realistic inference-engineering RL task. Do not share proprietary code or confidential employer information.
ABOUT GREEK UNION Greek Union (https://www.greekunion.io/) is a cool new social media app built specifically for fraternity and sorority life. It gives verified students a campus Greek-life feed, chapter chats, chapter profiles, and a national leaderboard with a $10,000 cash prize for the top chapter in the country. This is a paid campus activation campaign run by Greek Union, an independent company. Greek Union is using RentAHuman to hire students at colleges across the United States to activate chapters on the app. We are hiring students to get the Greek houses on their own campus signed up β any US college with fraternity or sorority life. WHERE Your own campus. Tell us which school you attend when you apply. We are opening campuses one at a time and almost every campus is still unclaimed β which is where the biggest bonus is. TWO WAYS TO DO THIS 1. Your own network β no canvassing needed. If you are in a fraternity or sorority, take the flyer to your own president, social chair or recruitment chair. Any one of those three can put the entire house on the app with a single text. If you are not in a house yourself, send the flyer to friends who are, and ask them to pass it to their chapter leadership. Your own house counts, and so does a friend's. 2. Walk Greek row β the shift work below, if you want the $40 on top. WHAT YOU'LL DO Work Greek row and knock on fraternity and sorority house doors, weekday afternoons and early evenings β that is when houses are occupied. Ask for the president, social chair or recruitment chair. Any of those three can put an entire house on the app with one text. Give them a 20-second pitch, hand them a flyer, and ask them to drop it in their house group chat while you are standing there. Put up flyers as you go. Follow your campus's own rules about where flyers may be posted. If a spot needs approval or a stamp, get it β do not post anywhere your university does not allow. HOW YOU GET PAID $100 for every chapter you sign up. Paid once the chapter is verified by us and reaches 10 members. One download earns nothing; a house of ten earns you $100. $150 instead if you are the first person to land a chapter at a brand-new campus β right now that is most campuses. $40 per completed shift (about 3 hours), paid on proof β photos of your flyers plus your written house log. No proof, no shift payment. Two chapters in one shift is $240. There is no cap on bounties. Chapter payments are posted to you as a separate bounty once verified, so the money is real and in your name before you accept it. WHAT YOU MUST RECORD β THIS IS HOW BOUNTIES GET PAID For every house you pitch, write down: the exact chapter name (Greek letters, e.g. ΣΠ/ Sigma Nu), the university, and who you spoke to and their role. We match your list against sign-ups in our system. If we cannot match it, we cannot pay it. FLYERS You will be sent the flyer once you are accepted. Print it to hand out in person, and send it digitally to friends in Greek life or straight to chapter leadership β a flyer in a house group chat works as well as one on a wall. Post your photos in this chat as you go β send them a few at a time, around five per message, rather than one big batch at the end. GOOD TO KNOW This is in-person work on your own campus. You need to be a student there, or otherwise able to get onto Greek row on weekday afternoons.