# How to become a Contributor Anyone with solid Data Science experience can become a Contributor to the Synnax Lab ecosystem. Synnax Lab Contributors are tasked with a traditional machine learning regression problem: train models on the train dataset and submit predictions on the test dataset on a daily basis. Note: every day DS receive a slightly updated version of the same dataset (same structure, same number of features, same number of targets to predict), retrain their models on updated data and submit predictions on the updated test set. This means that you can use a model, trained on a version of a dataset from any date to predict on the test dataset on any following date. All Contributors get rewarded for their input on a monthly basis based on accuracy of their predictions. Synnax provides a convenient [SDK](https://github.com/synnax-ai/synnax-lab-sdk) (python library) to get training and prediction data, submit predictions and access the validation score. A detailed instruction on how to: * register as a Synnax Lab Contributor * gain access to data * process data, train models, make predictions * submit predictions is available as a Jupyter [notebook](https://github.com/synnax-ai/synnax-lab-sdk/blob/master/tutorials/onboarding_manual.ipynb). --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://docs.synnax.ai/synnax/synnax-lab/contributors-onboarding/how-to-become-a-contributor.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.