AiJobster is a specialized job search platform connecting job seekers with AI companies and remote AI job opportunities. It caters to the rapidly growing AI industry, offering a unique platform for individuals to find their dream jobs in artificial intelligence. The platform is designed to serve job seekers of all levels, from entry-level to experienced professionals, providing a comprehensive list of AI companies and remote job opportunities.
AiJobster - Job Search in AI Companies and Remote AI Jobs
AiJobster - Your premier platform for job search in AI companies and remote jobs across top AI-driven organizations. Discover your future in tech today!
Introduction
Feature
Remote Job Opportunities
AiJobster offers a wide range of remote job opportunities in the AI industry, allowing job seekers to work from anywhere in the world.
AI Company Listings
The platform provides a comprehensive list of AI companies, making it easy for job seekers to find and apply to their desired companies.
Job Alerts
Users can receive email alerts for new job postings that match their search criteria, ensuring they stay up-to-date with the latest job opportunities.
User-Friendly Interface
To get started, users simply need to visit the website and create an account. They can then search for job opportunities by keyword, location, or company.
Direct Application Process
Once a suitable job is found, users can apply directly through the platform, streamlining the application process.
Flexible Pricing Model
AiJobster offers a free job search service with no subscription fees. For premium features and additional job search tools, users can upgrade to a paid subscription.
FAQ
Do I need to have experience in AI to use AiJobster?
No, AiJobster is open to job seekers of all levels, from entry-level to experienced professionals.
Can I search for jobs by location?
Yes, AiJobster allows you to search for jobs by location, making it easy to find remote job opportunities that fit your lifestyle.
How do I apply for a job on AiJobster?
Simply click on the "Apply" button next to the job posting, and follow the instructions provided.
What are some helpful tips for job seekers using AiJobster?
- Tailor your resume and cover letter to the specific job you're applying for
- Practice your coding skills and be prepared for technical interviews
- Network with professionals in the AI industry to learn more about job opportunities and company cultures
Latest Traffic Insights
Monthly Visits
1.49 K
Bounce Rate
48.56%
Pages Per Visit
2.28
Time on Site(s)
68.93
Global Rank
8078757
Country Rank
United States 2579889
Recent Visits
Traffic Sources
- Social Media:28.19%
- Paid Referrals:0.71%
- Email:0.03%
- Referrals:4.65%
- Search Engines:14.02%
- Direct:52.40%
Related Websites
GPT for Google Search * What is GPT? GPT stands for Generative Pre-trained Transformer. It's a type of artificial intelligence (AI) that can understand and generate human-like text. * How could GPT improve Google Search? GPT could help Google Search in several ways: * Better understanding of natural language: GPT is trained on massive amounts of text data, allowing it to understand complex and nuanced search queries. * More conversational search experience: GPT could enable users to interact with Google Search in a more natural, conversational way. * Summarizing search results: GPT could condense large amounts of information from search results into concise summaries. * Generating different creative text formats: GPT could help users find information in new and interesting ways, such as generating poems, code, scripts, musical pieces, email, letters, etc., based on their search queries. * Challenges and Considerations: While GPT offers exciting possibilities, there are also challenges to consider: * Accuracy and bias: GPT models can sometimes generate inaccurate or biased information. It's crucial to ensure that GPT-powered search results are reliable and unbiased. * Transparency and explainability: It can be difficult to understand how GPT arrives at its results. Making GPT's decision-making process more transparent is important for building trust. * Ethical implications: The use of GPT in search raises ethical questions about the potential for misuse, such as generating harmful content or manipulating search results.
GPT for Google Search * What is GPT? GPT stands for Generative Pre-trained Transformer. It's a type of artificial intelligence (AI) that can understand and generate human-like text. * How could GPT improve Google Search? GPT could help Google Search in several ways: * Better understanding of natural language: GPT is trained on massive amounts of text data, allowing it to understand complex and nuanced search queries. * More conversational search experience: GPT could enable users to interact with Google Search in a more natural, conversational way. * Summarizing search results: GPT could condense large amounts of information from search results into concise summaries. * Generating different creative text formats: GPT could help users find information in new and interesting ways, such as generating poems, code, scripts, musical pieces, email, letters, etc., based on their search queries. * Challenges and Considerations: While GPT offers exciting possibilities, there are also challenges to consider: * Accuracy and bias: GPT models can sometimes generate inaccurate or biased information. It's crucial to ensure that GPT-powered search results are reliable and unbiased. * Transparency and explainability: It can be difficult to understand how GPT arrives at its results. Making GPT's decision-making process more transparent is important for building trust. * Ethical implications: The use of GPT in search raises ethical questions about the potential for misuse, such as generating harmful content or manipulating search results.Add ChatGPT to Google Search This is a popular idea! Many people think it would be amazing to have the power of ChatGPT directly integrated into Google Search. Imagine being able to ask Google a complex question and getting a clear, concise, and human-like response generated by ChatGPT. It could revolutionize how we search for information and interact with the web.
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Simple TODOs from Customer Feedback - Improve search functionality: Customers are having trouble finding specific products. - Add more product filters: Allow users to narrow down search results by category, price, etc. - Implement a wishlist feature: Let customers save items they are interested in for later. - Enhance mobile responsiveness: The website is not displaying correctly on all mobile devices. - Provide clearer product descriptions: Some descriptions are too vague or lack important details. - Offer more payment options: Expand the list of accepted payment methods. - Simplify the checkout process: Reduce the number of steps required to complete a purchase. - Improve customer support: Make it easier for customers to contact support and get timely responses.
Simple TODOs from Customer Feedback - Improve search functionality: Customers are having trouble finding specific products. - Add more product filters: Allow users to narrow down search results by category, price, etc. - Implement a wishlist feature: Let customers save items they are interested in for later. - Enhance mobile responsiveness: The website is not displaying correctly on all mobile devices. - Provide clearer product descriptions: Some descriptions are too vague or lack important details. - Offer more payment options: Expand the list of accepted payment methods. - Simplify the checkout process: Reduce the number of steps required to complete a purchase. - Improve customer support: Make it easier for customers to contact support and get timely responses.FeedMonky.com creates simple to-do lists from lengthy customer reviews. It uses a state-of-the-art language model that has been specially trained.
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* Create a new notebook
* Install the `transformers` library by running `!pip install transformers`
* Import the `transformers` library and load the ChatGPT model using `from transformers import AutoModelForCausalLM, AutoTokenizer; model = AutoModelForCausalLM.from_pretrained('chatgpt'); tokenizer = AutoTokenizer.from_pretrained('chatgpt')`
* Use the model to generate text using `input_text = "Your input here"; inputs = tokenizer.encode_plus(input_text, return_tensors='pt', max_length=1024, padding='max_length', truncation=True); output = model(inputs['input_ids'], attention_mask=inputs['attention_mask']); print(tokenizer.decode(output.logits[0], skip_special_tokens=True))`
Method 2: Google Apps Script
* Open Google Apps Script ([script.google.com](http://script.google.com))
* Create a new project
* Install the `transformers` library by running `npm install transformers`
* Import the `transformers` library and load the ChatGPT model using `const { AutoModelForCausalLM, AutoTokenizer } = require('transformers'); const model = new AutoModelForCausalLM('chatgpt'); const tokenizer = new AutoTokenizer('chatgpt');`
* Use the model to generate text using `const inputText = "Your input here"; const inputs = tokenizer.encodePlus(inputText, { return_tensors: 'pt', max_length: 1024, padding: 'max_length', truncation: true }); const output = model(inputs.inputIds, inputs.attentionMask); console.log(tokenizer.decode(output.logits[0], { skipSpecialTokens: true }));`
Note: These methods require some technical knowledge and may have limitations compared to the original ChatGPT model.](https://static.right-ai.com/tools/2024/7/3/chromewebstore-google-com-detail-chatgpt-for-google-for-fr-pabeminldebomngnkgffiejipjjaaogi-thumbnail-1720037311.png "Get ChatGPT for Free with Google
You can now access ChatGPT, a powerful language model, for free with Google. Here's how:
Method 1: Google Colab
* Open Google Colab ([colab.research.google.com](http://colab.research.google.com))
* Create a new notebook
* Install the `transformers` library by running `!pip install transformers`
* Import the `transformers` library and load the ChatGPT model using `from transformers import AutoModelForCausalLM, AutoTokenizer; model = AutoModelForCausalLM.from_pretrained('chatgpt'); tokenizer = AutoTokenizer.from_pretrained('chatgpt')`
* Use the model to generate text using `input_text = \"Your input here\"; inputs = tokenizer.encode_plus(input_text, return_tensors='pt', max_length=1024, padding='max_length', truncation=True); output = model(inputs['input_ids'], attention_mask=inputs['attention_mask']); print(tokenizer.decode(output.logits[0], skip_special_tokens=True))`
Method 2: Google Apps Script
* Open Google Apps Script ([script.google.com](http://script.google.com))
* Create a new project
* Install the `transformers` library by running `npm install transformers`
* Import the `transformers` library and load the ChatGPT model using `const { AutoModelForCausalLM, AutoTokenizer } = require('transformers'); const model = new AutoModelForCausalLM('chatgpt'); const tokenizer = new AutoTokenizer('chatgpt');`
* Use the model to generate text using `const inputText = \"Your input here\"; const inputs = tokenizer.encodePlus(inputText, { return_tensors: 'pt', max_length: 1024, padding: 'max_length', truncation: true }); const output = model(inputs.inputIds, inputs.attentionMask); console.log(tokenizer.decode(output.logits[0], { skipSpecialTokens: true }));`
Note: These methods require some technical knowledge and may have limitations compared to the original ChatGPT model.")
Get ChatGPT for Free with Google You can now access ChatGPT, a powerful language model, for free with Google. Here's how: Method 1: Google Colab * Open Google Colab ([colab.research.google.com](http://colab.research.google.com)) * Create a new notebook * Install the `transformers` library by running `!pip install transformers` * Import the `transformers` library and load the ChatGPT model using `from transformers import AutoModelForCausalLM, AutoTokenizer; model = AutoModelForCausalLM.from_pretrained('chatgpt'); tokenizer = AutoTokenizer.from_pretrained('chatgpt')` * Use the model to generate text using `input_text = "Your input here"; inputs = tokenizer.encode_plus(input_text, return_tensors='pt', max_length=1024, padding='max_length', truncation=True); output = model(inputs['input_ids'], attention_mask=inputs['attention_mask']); print(tokenizer.decode(output.logits[0], skip_special_tokens=True))` Method 2: Google Apps Script * Open Google Apps Script ([script.google.com](http://script.google.com)) * Create a new project * Install the `transformers` library by running `npm install transformers` * Import the `transformers` library and load the ChatGPT model using `const { AutoModelForCausalLM, AutoTokenizer } = require('transformers'); const model = new AutoModelForCausalLM('chatgpt'); const tokenizer = new AutoTokenizer('chatgpt');` * Use the model to generate text using `const inputText = "Your input here"; const inputs = tokenizer.encodePlus(inputText, { return_tensors: 'pt', max_length: 1024, padding: 'max_length', truncation: true }); const output = model(inputs.inputIds, inputs.attentionMask); console.log(tokenizer.decode(output.logits[0], { skipSpecialTokens: true }));` Note: These methods require some technical knowledge and may have limitations compared to the original ChatGPT model.
Get ChatGPT for Free with Google You can now access ChatGPT, a powerful language model, for free with Google. Here's how: Method 1: Google Colab * Open Google Colab ([colab.research.google.com](http://colab.research.google.com)) * Create a new notebook * Install the `transformers` library by running `!pip install transformers` * Import the `transformers` library and load the ChatGPT model using `from transformers import AutoModelForCausalLM, AutoTokenizer; model = AutoModelForCausalLM.from_pretrained('chatgpt'); tokenizer = AutoTokenizer.from_pretrained('chatgpt')` * Use the model to generate text using `input_text = "Your input here"; inputs = tokenizer.encode_plus(input_text, return_tensors='pt', max_length=1024, padding='max_length', truncation=True); output = model(inputs['input_ids'], attention_mask=inputs['attention_mask']); print(tokenizer.decode(output.logits[0], skip_special_tokens=True))` Method 2: Google Apps Script * Open Google Apps Script ([script.google.com](http://script.google.com)) * Create a new project * Install the `transformers` library by running `npm install transformers` * Import the `transformers` library and load the ChatGPT model using `const { AutoModelForCausalLM, AutoTokenizer } = require('transformers'); const model = new AutoModelForCausalLM('chatgpt'); const tokenizer = new AutoTokenizer('chatgpt');` * Use the model to generate text using `const inputText = "Your input here"; const inputs = tokenizer.encodePlus(inputText, { return_tensors: 'pt', max_length: 1024, padding: 'max_length', truncation: true }); const output = model(inputs.inputIds, inputs.attentionMask); console.log(tokenizer.decode(output.logits[0], { skipSpecialTokens: true }));` Note: These methods require some technical knowledge and may have limitations compared to the original ChatGPT model.How to Add ChatGPT to All Google Searches ===================================================== Step 1: Create a Custom Search Engine -------------------------------------- * Go to the [Google Custom Search Engine](https://cse.google.com/) website and sign in with your Google account. * Click on the "New Search Engine" button. * Fill in the required information, such as the name and description of your search engine. * Click on the "Create" button. Step 2: Add ChatGPT to the Search Engine ----------------------------------------- * In the "Setup" tab, click on the "Add" button next to "Sites to search". * Enter the following URL: `https://chat.openai.com/` * Click on the "Add" button. Step 3: Configure the Search Engine -------------------------------------- * In the "Setup" tab, click on the "Edit" button next to "Search engine keywords". * Add the following keywords: `ChatGPT` * Click on the "Save" button. Step 4: Get the Search Engine Code ------------------------------------- * In the "Setup" tab, click on the "Get code" button. * Copy the HTML code provided. Step 5: Add the Search Engine to Your Browser ------------------------------------------------ * Open your browser and go to the "Settings" or "Options" page. * Look for the "Search engine" or "Default search engine" option. * Click on the "Add" or "Manage search engines" button. * Paste the HTML code you copied earlier. * Click on the "Add" or "Save" button. You're Done! =============== Now, whenever you search on Google, ChatGPT will be included in the search results. You can also use the custom search engine URL provided by Google to search directly.
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