Technical Trainer

Job Description

Job Title: Technical Trainer Experience: 2+ years About Deccan AI Deccan AI is a model training and eval startup headquartered in the Bay Area. We are founded by IIT Bombay, IIM Ahmedabad and ex-Google alumni, and work with some of the top AI frontier labs in the world, e.g. Google Deepmind, Snowflake, and many more. We are backed by Prosus Ventures, and our India delivery office is in Hyderabad. Most of our roles are on-site i.e. Bay Area / Hyderabad. What it is like to work @ Deccan To be honest, our workplace is not for the faint-hearted. We work hard (usually 6 days a week - from the office). We work fast (many of our clients require same day turnarounds for their complex data needs). We like those who take ownership, roll up their sleeves and do. We like those who thrive in ambiguity and who can operate without titles / hierarchies.But what you will find: tremendous learning, tremendous growth, and a very motivated set of colleagues who are also fun to be around. About the Role We are looking for a technically strong and engaging Technical Trainer who can design and deliver effective training programs for our data annotation teams. The ideal candidate has a developer or QA background, strong programming knowledge, and a knack for breaking down complex technical concepts into simple, practical learning experiences. Key Responsibilities Create engaging, structured training content and conduct technical sessions for new and existing data annotators. Evaluate the quality and generality of submitted tests. Collaborate with QC teams to benchmark model performance. Develop training modules on annotation tools, coding standards, debugging, and data handling best practices. Conduct quality checks on annotated data to ensure adherence to guidelines and provide feedback for improvement. Maintain and analyze training and performance data using Excel or other tools to monitor annotator progress and skill growth. Partner with QA and Developer teams to update training materials based on project needs and annotation feedback loops. Collaborate with QC teams to benchmark model performance on annotation tasks, helping to assess problem difficulty Required Skills & Qualifications Strong understanding of Python, SQL, Java, and JavaScript. Experience with test case evaluation, debugging, and code quality assessment (preferably someone who has done PR reviews for production ready code). Minimum 2 years in QA or Developer roles. Prior exposure to mentoring or team training is preferred. Excellent verbal and written communication skills with the ability to articulate technical ideas clearly. Comfortable managing performance tracking sheets and Excel-based dashboards. Experience with test case evaluation, debugging, and code quality assessment (preferably someone who has done PR reviews for production ready code). Good to Have Experience working in a data labeling, ML training data, or AI annotation environment. Familiarity with ML model data pipelines and annotation quality parameters. Why Join Us You?ll play a key role in shaping the technical growth of our annotator teams, ensuring that the quality of training data directly impacts the performance of AI models used worldwide.