Content Writer - Data Science Domain

Content Writer (Data Science domain)

Job Summary:

We are seeking experienced and knowledgeable Subject Matter Experts (SMEs) in Data Science to join our team. As an SME, you will play a critical role in building data sets for large language model training (similar to ChatGPT, Bard, Bing, and HuggingChat, for example). Your role will include writing/authoring responses to a wide range of prompts in your field of expertise, which will enable us to enhance the capabilities and knowledge base of our language model.

Responsibilities:

- Create/generate high-quality responses to given prompts across a wide variety of topics, from simple to more complex levels of difficulty.

- Exhibit exceptional expertise in creative English writing within your field of knowledge, while making sure to utilize:

- Reliable and relevant sources to gather information and facts for your responses.

- Appropriate and consistent language, tone, and style for your responses.

- Creative and engaging techniques to make your responses interesting

- Conduct in-depth research to gather precise and relevant information to provide an accurate response.

- Ensure the accuracy, coherence, and clarity of your response.

- Provide constructive feedback and valuable insight regarding techniques and strategies for writing responses.

- Keep abreast of the latest trends and advancements in different subject areas within your field of expertise to ensure quality and relevant responses.

- Contribute to the continuous improvement of our language model by identifying potential areas of enhancement and suggesting new prompt ideas.

- Collaborate with other SMEs to maintain consistency and quality across the prompt generation process.

Requirements:

- 2 - 5 years of experience writing code in the Python programming language.

- Experience with Data Science tools such as Numpy, Sklearn, Panda, Huggingface, Jupyter / Colab notebooks, including technical content writing experience.

- Understanding of common ML algorithms such as linear regression, random forests, and neural networks.

- Staying up to date with the latest trends and advancements in LLMs: in-context learning, fine-tuning, embeddings, etc.

- US Native level English proficiency, with excellent written and verbal communication skills.