Technical Author for B2B (Data Science and ML courses)

TripleTen
London
7 months ago
Applications closed

Related Jobs

View all jobs

Multimodal AI Researcher - PhD / Machine Learning / Python / C++

Multimodal AI Researcher - PhD / Machine Learning / Python / C++

Multimodal AI Researcher - PhD / Machine Learning / Python / C++

InTent Internship Programme 2025 (#IIP): Paid Summer Placement/Internship for Undergraduate’s (Bachelor’s) or Graduate’s (Master’s) Students in Agricultural Sciences, Environmental Sciences, Data Science (3-months) at University of Exeter

Senior Data Scientist / AI Engineer

Technical Engineer

TripleTenis a leading online coding bootcamp that helps students to learn coding and data analysis skills for tech industry jobs in less than a year in the US and Latin America. Our research-based learning method is focused on ensuring that after completing our program, every student, regardless of their initial abilities, will find employment in tech industry with 100% money-back guarantee and 87% employment rate among our 6K+ graduates.


We are expanding our reach beyond individual learners to offerassessment and upskilling solutionsfor companies worldwide. Our newly launchedB2B teamfocuses on providing tailored Data Science, Machine Learning, and AI training to help organizations enhance the capabilities of their workforce.


We are looking for a passionateTechnical Author and Editorwith experience in data science and machine learning to join our team. In this position, you will be responsible for creating and editing the part of written content for the courses and professional assessments.


Please note that after applying for this position, you will be required to complete a test assignment after your Online Introductory Call.



What you will do:

  • Collaborate with the instructional design team to create assessment tests for different DS and ML roles;
  • Review our training materials on ML and make improvements when necessary. Improvements may include writing updated theoretical content and creating new coding exercises and projects for students.
  • Create learning objectives for students together with instructional designers (if you don’t have experience with this, that’s ok. We’ll teach you and work on it together).
  • Write clear, concise, and comprehensive content for manuals, guides, assessment rubrics, and technical documents about the course for the team.
  • Ensure all written content meets industry standards and aligns with courses’ objectives.



What we can offer you:

  • Remote, part-time collaboration (10-30 hours per week).
  • Get hands-on experience in an Edtech environment (learning tools and the ins and outs of online education for adults).
  • Digital office. We use modern digital tools like Miro, Notion, Slack, etc., to keep our teamwork smooth.
  • Have the freedom to work professionally. We trust your experience and don't believe in micromanaging.
  • Room to grow. Our product is expanding rapidly, so it's a great chance to join and challenge yourself.
  • Join our diverse and close-knit team. We're spread out across Serbia, the EU, Latin America and more.


We're excited to get to know you and work together!


Disclosures

  • At this time we are unable to offer H1B sponsorship opportunities in the USA.
  • This job description is not designed to contain a comprehensive listing of activities, duties, or responsibilities that are required. Nothing in this job description restricts management's right to assign or reassign duties and responsibilities at any time.
  • TripleTen is an equal employment opportunity/affirmative action employer and considers qualified applicants for employment without regard to race, color, religion, sex, national original, age, religion, disability, marital status, sexual orientation, gender identity/expression, protected military/veteran status, or any other legally protected factor.


  • Time commitment: able to devote10-30 hours per weekfor collaboration.
  • Professional experience in data science and machine learning.
  • Experience in teaching or creating educational content.
  • Fluent in English (both written and spoken).
  • Desire to share your knowledge and ability to describe difficult concepts in a comprehensible way.
  • Strong attention to detail.
  • Ability to work independently.

Nice to have:

  • Experience as a Technical Writer/Editor/Author or in a similar role.
  • Your own experience as a student online.
  • Interest in instructional design and education.

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Portfolio Projects That Get You Hired for AI Jobs (With Real GitHub Examples)

In the fast-evolving world of artificial intelligence (AI), an impressive portfolio of projects can act as your passport to landing a sought-after role. Even if you’ve aced interviews in the past, employers in AI and machine learning (ML) are increasingly asking candidates to demonstrate hands-on experience through the projects they’ve built and shared online. This is because practical ability often speaks volumes about your suitability for a role—far more than any exam or certification alone could. In this article, we’ll explore how to build an outstanding AI portfolio that catches the eye of recruiters and hiring managers, including: Why an AI portfolio is crucial for job seekers. How to choose AI projects that align with your target roles. Specific project ideas and real GitHub examples to help you stand out. Best practices for showcasing your work, from writing clear READMEs to using Jupyter notebooks effectively. Tips on structuring your GitHub so that employers can instantly see your value. Moreover, we’ll discuss how you can use your portfolio to connect with top employers in AI, with a handy link to our CV-upload page on Artificial Intelligence Jobs for when you’re ready to apply. By the end, you’ll have a clear roadmap to building a portfolio that will help secure interviews—and the AI job—of your dreams.

AI Job Interview Warm‑Up: 30 Real Coding & System‑Design Questions

In today's competitive AI job market, nailing a technical interview can be the difference between landing your dream role and getting lost in the crowd. Whether you're looking to break into machine learning, deep learning, NLP (Natural Language Processing), or data science, your problem-solving skills and system design expertise are certain to be put to the test. AI‑related job interviews typically involve a range of coding challenges, algorithmic puzzles, and system design questions. You’ll often be asked to delve into the principles of machine learning pipelines, discuss how to optimise large-scale systems, and demonstrate your coding proficiency in languages like Python, C++, or Java. Adequate preparation not only boosts your confidence but also reduces the likelihood of fumbling through unfamiliar territory. If you’re actively seeking positions at major tech companies or innovative AI start-ups, then check out www.artificialintelligencejobs.co.uk for some of the latest vacancies in the UK. Meanwhile, this blog post will guide you through 30 real coding & system-design questions you’re likely to encounter during your AI job interview. This list is designed to help you practise, anticipate typical question patterns, and stay ahead of the competition. By reading through each question and thinking about the possible approaches, you’ll sharpen your problem-solving skills, time management, and critical thinking. Each question covers fundamental concepts that employers regularly test, ensuring you’re well-equipped for success. Let’s dive right in.

Negotiating Your AI Job Offer: Equity, Bonuses & Perks Explained

Artificial intelligence (AI) has proven itself to be one of the most transformative forces in today’s business world. From smart chatbots in customer service to predictive analytics in finance, AI technologies are reshaping how organisations operate and innovate. As the demand for AI professionals grows, so does the complexity of compensation packages. If you’re a mid‑senior AI professional, you’ve likely seen job offers that include far more than just a base salary—think equity, bonuses, and a range of perks designed to entice you into joining or staying with a company. For many, the focus remains squarely on salary. While that’s understandable—after all, your monthly take‑home pay is what covers day-to-day expenses—limiting your negotiations to salary alone can leave considerable value on the table. From stock options in ambitious startups to sign‑on bonuses that ‘buy you out’ of your current contract, modern AI job offers often include elements that can significantly boost your long-term wealth and job satisfaction. This article aims to shed light on the full scope of AI compensation—specifically focusing on how equity, bonuses, and perks can enhance (or sometimes detract from) the overall value of your package. We’ll delve into how these elements work in practice, what to watch out for, and how to navigate the negotiation process effectively. Our goal is to provide mid‑senior AI professionals with the insights and tools to land a holistic compensation deal that accurately reflects their technical expertise, leadership potential, and strategic importance in this fast-moving field. Whether you’re eyeing a leadership role in machine learning at an established tech giant, or you’re considering a pioneering position at a disruptive AI startup, the knowledge in this guide will help you weigh the merits of base salary alongside the potential riches—and risks—of equity, bonuses, and other benefits. By the end, you’ll have a clearer sense of how to align your compensation with both your immediate lifestyle needs and long-term career aspirations.