Technical Author for B2B (Data Science and ML courses)

About Us

TripleTen is 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 offer assessment and upskilling solutions for companies worldwide. Our newly launched B2B team focuses on providing tailored Data Science, Machine Learning, and AI training to help organizations enhance the capabilities of their workforce.

We are looking for a passionate Technical Author and Editor with 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.‍

Responsibilities

• 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.

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Requirements

• Time commitment: able to devote 10-30 hours per week for 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.

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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.

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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!

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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.

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How to Apply

Note: This is a syndicated job post, meaning it was not posted to Fractional Jobs directly, so we don't have control over the application process. To apply, click on the "View Application" and follow the application's instructions.