Job Opportunities API

About Packt  Packt's mission is to help the world put software to work in new ways, through the delivery of effective learning and information services to IT professionals. We are a technical publisher and learning provider with over 400 staff based across the globe, primarily in India and the UK. Our products have global relevance, and our multimedia portfolio includes over 7,000 books, e-books, audiobooks, and video courses. For more details, visit  www.packtpub.com .  Role Overview  As a Content Transformation Editor, you will help turn validated source material - primarily video courses, transcripts, speaker decks and expert assets - into clear, structured, reader-ready products that read naturally, teach clearly and meet Packt standards. You will use AI-assisted workflows to accelerate transformation, but you will be responsible for checking, refining and improving the output so it is accurate to the source, up to date, readable, coherent and valuable for tech professionals.   Success in this role means delivering reliable, well-structured V2B (Video-to-Book) and derived-content outputs on time, identifying issues early and applying feedback quickly. What You Will Do  V2B and Derived Content Transformation  Review source assets such as course videos, transcripts, speaker decks and code repositories.  Help shape structure, flow and learning paths based on the source course.  Use Packt’s AI tools to convert courses into clear written manuscripts, checking for content quality, flow and repetition while preserving useful expert insight, practical examples and teaching intent.  Ensure chapters contain appropriate introductions, transitions, summaries, captions, instructions, examples and reader guidance.  Review AI-assembled on-demand video courses for editorial quality, flow and completeness, checking AI-flagged moments and approving the final output for publication.  Review and approve ingested expert material to ensure it is converted into clear, attributable and retrievable insight units that improve the quality of AI-generated answers in our corpus product.  Editorial Quality and Reader Value  Check and improve grammar, clarity, readability, consistency and flow.  Make sure the output reads like a book, not a transcript.  Check that explanations follow a logical progression and support the intended learning outcome.  Identify areas where source material depends too heavily on visual demonstration or assumed context, and flag where extra explanation is needed.  AI and Workflow Tools  Review AI-generated output critically and correct errors, hallucinations, omissions, unsupported claims and tone problems.  Provide feedback on AI tools and documentation that can be used to improve processes and output. Document source issues or process bottlenecks so the wider workflow can improve.  Escalate missing assets, unclear source material, technical uncertainty, quality concerns, schedule risks or repeated workflow issues early.    Who You Are  An early-career editor, graduate or content specialist with excellent English and strong learning agility.  Curious about technology and motivated to understand how technical learners think, work and solve problems.  Comfortable using AI tools, while being quality-focused in reviewing their output.  Detail-oriented, organised and able to manage repeatable tasks without losing sight of reader value Must-have skills:  Excellent written English, with strong grammar, clarity and editing judgement.