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 co-headquartered in Toronto and San Francisco, with key offices in London, Current York City, Montreal, Seoul, Germany and Paris. Join us!

Why this role?

We are on a mission to build machines that understand the world and make them safely accessible to all. Data quality is foundational to this process.



Machines (or Large Language Models to be exact) learn in similar ways to humans - by way of feedback. By labelling, ranking, auditing, and correcting text output, you will improve Large Language Model’s performance for iterations to come, thus having a lasting impact on Cohere’s tech.

This role will have you focus on financial modelling and finance-based questions. You will teach the Cohere model how to perform across a variety of different functions and logic.

Please Note:

This is a part-time contract position. We are looking for candidates who are able to commit to 16 hours per week at a $30/hour contract rate. This role is available within Canada only and is BYOD - Bring Your Own Device (laptop).

As an AI Data Trainer, you will:

- Evaluate the model’s ability to respond to objective financial queries ( you will not be giving financial advice)
- Write financial prompt

📌 Data Annotation Specialist - Investment Banking and Private Equity (Montreal)
🏢 Cohere
📍 Montreal