Invisible is a forward‑thinking AI training organization that partners with leading technology firms to develop the next generation of large‑scale language models. With a focus on democratizing AI, Invisible brings together data scientists, software engineers, and linguists to curate high‑quality training data that powers applications ranging from education to software development. The organization operates on a global scale, leveraging remote teams and cutting‑edge cloud infrastructure to deliver scalable solutions. Its mission is to create AI that is not only intelligent but also culturally aware and linguistically inclusive. Role Summary: The Coding Specialist – Fluent in Telugu – AI Trainer is a contract position that blends deep technical expertise with linguistic fluency. As a key contributor, you will engage with advanced language models, challenge them on complex software engineering topics, and document failure modes to improve model reasoning. Your day‑to‑day will involve conversing with the model in Telugu, verifying code correctness, assessing naturalness of language, and refining prompt engineering strategies. Key Responsibilities: 1. Conduct technical conversations with the AI model on software engineering tasks in Telugu. 2. Verify logical accuracy and coding fluency of model responses. 3. Assess naturalness and correctness of Telugu language usage. 4. Capture reproducible error traces and document failure modes. 5. Suggest improvements to prompt engineering and evaluation metrics. 6. Review and provide feedback on model’s handling of asynchronous programming, RESTful APIs, memory management, OOP, and secure coding. 7. Collaborate with data scientists to refine training datasets. 8. Maintain clear, metacognitive communication and document findings. 9. Participate in regular knowledge‑sharing sessions with the training team. 10. Stay updated on emerging AI and software engineering trends. Tech Stack: Algorithms & Data Structures, Software Architecture, Frontend & Backend Development, Cloud Infrastructure, Systems Programming, Asynchronous Programming, RESTful API Integration, Memory Management, Object‑Oriented Design, Secure Coding Practices, Debugging Distributed Systems, Prompt Engineering, Evaluation Metrics. Growth Path: Starting as a specialist, you can progress to Senior AI Trainer, Lead Trainer, or Technical Lead roles, influencing product strategy, mentoring junior trainers, and shaping the future of AI. Why Join: Working remotely with a global team, you’ll shape the next generation of AI, contribute to culturally inclusive technology, and enjoy flexible work arrangements. The role offers competitive hourly rates, continuous learning opportunities, and the chance to make a tangible impact on AI that serves millions worldwide.