AI Jobs and Career
And before we wrap up today's AI news, I wanted to share an exciting opportunity for those of you looking to advance your careers in the AI space. You know how rapidly the landscape is evolving, and finding the right fit can be a challenge. That's why I'm excited about Mercor – they're a platform specifically designed to connect top-tier AI talent with leading companies. Whether you're a data scientist, machine learning engineer, or something else entirely, Mercor can help you find your next big role. If you're ready to take the next step in your AI career, check them out through my referral link: https://work.mercor.com/?referralCode=82d5f4e3-e1a3-4064-963f-c197bb2c8db1. It's a fantastic resource, and I encourage you to explore the opportunities they have available.
- Full Stack Engineer [$150K-$220K]
- Software Engineer, Tooling & AI Workflow, Contract [$90/hour]
- DevOps Engineer, India, Contract [$90/hour]
- More AI Jobs Opportunitieshere
| Job Title | Status | Pay |
|---|---|---|
| Full-Stack Engineer | Strong match, Full-time | $150K - $220K / year |
| Developer Experience and Productivity Engineer | Pre-qualified, Full-time | $160K - $300K / year |
| Software Engineer - Tooling & AI Workflows (Contract) | Contract | $90 / hour |
| DevOps Engineer (India) | Full-time | $20K - $50K / year |
| Senior Full-Stack Engineer | Full-time | $2.8K - $4K / week |
| Enterprise IT & Cloud Domain Expert - India | Contract | $20 - $30 / hour |
| Senior Software Engineer | Contract | $100 - $200 / hour |
| Senior Software Engineer | Pre-qualified, Full-time | $150K - $300K / year |
| Senior Full-Stack Engineer: Latin America | Full-time | $1.6K - $2.1K / week |
| Software Engineering Expert | Contract | $50 - $150 / hour |
| Generalist Video Annotators | Contract | $45 / hour |
| Generalist Writing Expert | Contract | $45 / hour |
| Editors, Fact Checkers, & Data Quality Reviewers | Contract | $50 - $60 / hour |
| Multilingual Expert | Contract | $54 / hour |
| Mathematics Expert (PhD) | Contract | $60 - $80 / hour |
| Software Engineer - India | Contract | $20 - $45 / hour |
| Physics Expert (PhD) | Contract | $60 - $80 / hour |
| Finance Expert | Contract | $150 / hour |
| Designers | Contract | $50 - $70 / hour |
| Chemistry Expert (PhD) | Contract | $60 - $80 / hour |
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Are you passionate about AI and looking for your next career challenge? In the fast-evolving world of artificial intelligence, connecting with the right opportunities can make all the difference. We're excited to recommend Mercor, a premier platform dedicated to bridging the gap between exceptional AI professionals and innovative companies.
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Welcome to AI Unraveled: The Builder’s Toolkit, the ultimate hands-on resource for turning cutting-edge AI concepts into real-world applications. Created by Etienne Noumen and the team behind the popular daily podcast, “AI Unraveled,” this toolkit is designed for anyone eager to move beyond theory and start crafting their own AI solutions.
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- Visual Learning (PDF): Every tutorial comes as a downloadable PDF, rich with screenshots, code snippets, and diagrams to guide you visually through the process.
- Audio Snippets for Clarity: Complementary audio explanations for each step, providing deeper insights and answering common questions as you build. It’s like having Etienne guiding you through the process!
- Examples of Tutorials:
- How to Build Your First OpenAI Agent
- Fine-tuning an Open-Source LLM for Specific Tasks
- Creating AI-Powered Content Generation Workflows
- Leveraging Vector Databases for Enhanced RAG
- Setting Up a Local AI Development Environment
- …and many more, added weekly!
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AI Jobs and Career
And before we wrap up today's AI news, I wanted to share an exciting opportunity for those of you looking to advance your careers in the AI space. You know how rapidly the landscape is evolving, and finding the right fit can be a challenge. That's why I'm excited about Mercor – they're a platform specifically designed to connect top-tier AI talent with leading companies. Whether you're a data scientist, machine learning engineer, or something else entirely, Mercor can help you find your next big role. If you're ready to take the next step in your AI career, check them out through my referral link: https://work.mercor.com/?referralCode=82d5f4e3-e1a3-4064-963f-c197bb2c8db1. It's a fantastic resource, and I encourage you to explore the opportunities they have available.
As a dedicated listener of “AI Unraveled,” you know we’re committed to delivering timely, relevant AI news. This toolkit is our way of empowering you to not just understand AI, but to apply it. Your purchase directly supports the continued, daily production of “AI Unraveled,” ensuring we can keep bringing you the most current and critical AI news from around the globe.
Invest in your AI future and support your favorite podcast. Start building today!
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Tutorial List:

1- Building Your First OpenAI Agent with Colab
This tutorial explains how to build a simple AI agent using OpenAI and Google Colab. The process involves obtaining an OpenAI API key, setting up a Google Colab notebook, and installing the necessary libraries. The guide walks through the steps of writing and executing code blocks to initialise the API key, create a weather agent, and then test the agent’s functionality by querying the weather in different cities. Even when encountering a minor issue with the API key, the agent successfully provides the requested information, demonstrating the core steps for creating a basic OpenAI agent. Additional resources like a PDF and audio explanation are mentioned for further assistance.
2- Building an Automated Multilingual Translation Tool with Google Colab and OpenAI
The Challenge We’re Solving: Efficient and Scalable Multilingual Content
In today’s globalized world, the ability to present content in multiple languages is crucial for reaching a wider audience. However, manual translation is time-consuming and can be expensive, especially when dealing with large volumes of text or frequent updates. While professional human translation offers the highest quality, AI-powered translation provides a rapid and cost-effective solution for many common business needs, such as translating website elements, product descriptions, or internal communications. The challenge lies in creating a workflow that is not only fast but also easily manageable and scalable without requiring constant manual intervention like copying and pasting text into translation tools.
3- AI-Powered Proposal Creation with Google Colab, Google Sheets, and OpenAI
The Challenge We’re Solving: Overcoming Proposal Writer’s Block and Repetitive Customization
The process of creating compelling client proposals often involves a significant investment of time and effort. Many proposals share common structural elements and boilerplate content, yet each requires careful personalization to resonate with the specific client and project. This repetitive customization—adjusting cover letters, tailoring project summaries, and itemizing relevant features—can become a bottleneck. Furthermore, a common hurdle is “writer’s block,” where drafting engaging and persuasive text from scratch for each new proposal can be a daunting task, slowing down the entire sales or project initiation cycle . The core challenge is to balance the need for efficiency through standardization with the demand for personalization that makes a proposal stand out. This automation aims to address the common scenario where proposals are approximately “80% the same every time, but also need to customize each one”.
4- Advanced E-mail Automation with Google Colab, Gmail API, and OpenAI
The Challenge We’re Solving: Extracting Key Information from Complex Emails and Triggering Actions
Many business processes rely on information communicated via email. However, when this information is embedded within emails that have inconsistent formatting or a “nightmare” structure, manual extraction becomes a significant bottleneck . The example provided in the source material highlights a common scenario: receiving notification emails from a third-party platform where crucial data points like a subscriber_id and an email address are present but difficult to parse reliably using traditional rule-based automation. The structure of these emails can vary – sometimes a user photo is present, sometimes not; URL parameters might change – making it nearly impossible for simple “if A, then B” logic or regular expressions to consistently find the needed data . Manually sifting through these emails, especially at scale, is not only tedious and error-prone but also prevents timely action based on the extracted information . This use case perfectly illustrates a domain where AI, particularly Large Language Models (LLMs), can excel by understanding the context and semantics of unstructured text to perform intelligent data extraction.
5- Automate project meeting documentation
In this tutorial, you will learn how to create an automated system with Zapier Agents that can turn meeting recordings into transcripts, summaries, and actionable task lists in Google Docs.
New Tutorials (PDF, Audio, Video) Added Weekly.
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