micro1 is a cutting‑edge data lab that powers AI research labs and large enterprises by providing high‑quality training data for foundational models and intelligent agents. The company builds evaluation frameworks, reinforcement‑learning environments, and contextual monitoring tools that help improve large language model (LLM) capabilities and keep AI agents aligned with real‑world requirements. By focusing on niche, high‑value domains such as legal, medical, finance, and software engineering, micro1 ensures that the data fed into next‑generation models is both accurate and domain‑specific, giving its clients a competitive edge in AI‑driven products. The organization operates a fast‑moving pipeline that balances quality and velocity, employing a blend of domain experts, data engineers, and AI specialists. Its culture encourages curiosity, rapid experimentation, and cross‑functional collaboration, allowing employees to see the direct impact of their work on cutting‑edge AI systems. With a remote‑first policy, micro1 attracts talent from the US, UK, Canada, and beyond, fostering a globally diverse team that shares a common mission: to make AI smarter, safer, and more useful. **Role Summary** The Software Engineering Specialist – Executive Presentation Review will act as a bridge between technical content and visual storytelling. Leveraging deep software engineering knowledge, the specialist will reconstruct, redesign, and enrich technical presentation decks that are later used to train AI models. The role does not require prior AI experience; instead, it values expertise in system architecture, documentation, and the ability to translate complex concepts into clear, compelling visuals. **Key Responsibilities** 1. Analyse existing technical slides and identify opportunities for clarity, visual impact, and narrative flow. 2. Re‑design presentation decks in Microsoft PowerPoint, applying modern design principles and branding guidelines. 3. Create data visualisations (charts, diagrams, flow‑charts) that accurately convey engineering metrics and architecture details. 4. Edit and proof‑read slide content for technical accuracy, grammatical correctness, and consistency. 5. Document system architectures, pipelines, and engineering processes in structured formats that complement the visual material. 6. Apply critical thinking to restructure storytelling sequences, ensuring logical progression and audience engagement. 7. Collaborate asynchronously with AI trainers, data curators, and other specialists to deliver high‑quality deliverables on schedule. 8. Maintain a repository of reusable slide templates and visual assets for future projects. 9. Provide feedback on how presentation quality influences AI model training and suggest improvements. 10. Stay updated on best practices in technical communication, data visualisation, and presentation design. **Tech Stack & Tools**: Microsoft PowerPoint, Adobe Illustrator (optional), data visualisation libraries (e.g., Tableau, Power BI), basic knowledge of system architecture diagrams (UML, C4), Git for version control of assets, and collaboration platforms such as Slack and Confluence. **Growth Path**: Starting as a specialist, high performers can evolve into senior presentation architects, AI training content leads, or product managers overseeing AI‑driven documentation pipelines. The role offers exposure to AI research teams, opening pathways into data engineering, AI ethics, or product strategy. **Why Join micro1?** The company sits at the intersection of AI innovation and real‑world data challenges, offering a unique chance to influence how future models learn from human‑crafted content. Employees enjoy a fully remote setup, flexible hours, competitive hourly rates, and a culture that rewards creativity and precision. By contributing to high‑impact AI training material, you become part of a mission‑driven organization shaping the next generation of intelligent systems.