Find top Artificial Intelligence jobs

Hacker News

Hey HN community, I wanted to share a project I've been working on - an AI job board which will hopefully have the best jobs in the market. I've noticed that there are a lot of job boards out there, but I couldn' find one really important in AI. Lately, with ChatGPT, Bard, MidJourney, Stable Diffusion, Adobe... many opportunities are surging. My goal with this job board is to make it easy for people to find AI jobs that match their skills and interests, and for companies to find the right candidates for their open roles. I've tried to keep the design clean and simple, with easy-to-use filters and search options. I'd love to get your feedback on the site - what do you think of the design and functionality? Are there any features you'd like to see added? And of course, if you know of any AI jobs that aren't listed on the site, please let me know! I will contact these companies, maybe they will be interested. Thanks for your time, and I hope you find the job board useful. I am eager to hear back from you. Link: https://aicareershub.com

Visit product View on Hacker NewsMar 22, 2023

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting

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Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released

48%48% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal

47%47% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Product HuntUnlikely to reach the leaderboard · Strong signals: chatgpt, open · Missing: mac, agents, macos

39%39% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

34%34% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

22%22% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Strong signals: chat · Missing: web3, crypto, cryptocurrency

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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