Technical Project Trainer

Job Title: Technical Project Trainer

Experience: 2+ years

About Deccan A

IDeccan 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 @ Decc

anTo 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 aroun

d.About the R

ng Technical Project Trai

es.Key Responsibili

• tiesCreate engaging, structured training content and conduct technical sessions for new and existing data annotat
• ors.Evaluate the quality and generality of submitted te
• sts.Collaborate with QC teams to benchmark model performa
• nce.Develop training modules on annotation tools, coding standards, debugging, and data handling best practi
• ces.Conduct quality checks on annotated data to ensure adherence to guidelines and provide feedback for improvem
• ent.Maintain and analyze training and performance data using Excel or other tools to monitor annotator progress and skill gro
• wth.Partner with QA and Developer teams to update training materials based on project needs and annotation feedback lo
• ops.Collaborate with QC teams to benchmark model performance on annotation tasks, helping to assess problem diffic

ultyRequired Skills & Qualifica

• tionsStrong understandin

  g of Python, SQL, Java, and JavaSc

• ript.Experience with test case evaluation, debugging, and code quality assessment (preferably someone who has done PR reviews for production ready c
• ode).Minimum 2 years in QA or Developer r
• oles.Prior exposure to mentoring or team training is prefe
• rred.Excellent verbal and written communication skills with the ability to articulate technical ideas cle
• arly.Comfortable managing performance tracking sheets and Excel-based dashbo
• ards.Experience with test case evaluation, debugging, and code quality assessment (preferably someone who has done PR reviews for production ready c

ode).Good t

• o HaveExperience working

  in a data labeling, ML training data, or AI annotation enviro

• nment.Familiarity

  with ML model data pip

  elines and annotation quality param

eters.Why

Join UsYou’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 wor