Member of Technical Staff - Post-training (Data Infrastructure)

About this role

WHO ARE WE?

Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems.

We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that.

We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft.

We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us!

Role Overview As a Member of Technical Staff in Post-Training Data Infrastructure, you will build and own the pipelines that produce the post-training data for our large language models (LLMs), from SFT and RL data to synthetic and human-annotated data. You will work closely with researchers and annotation teams so they can iterate on data as quickly as they iterate on models.

Key Responsibilities

• Build and maintain data pipelines for SFT, preference, and RL post-training data.

• Own dataset quality, versioning, and reproducibility.

• Turn research data recipes into production-grade, reusable components.

• Scale model inference for data generation and model-based grading.

• Design data formats and schemas that keep post-training datasets consistent and efficient to train on.

• Collaborate with researchers and engineers to make sure data pipelines keep pace with the needs of cutting-edge language models.