Data Annotator/ AI Data Trainer - Coding

at  Cohere

WHO ARE WE?

Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI.
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. We like to work hard and move fast to do what’s best for our customers.
Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is the one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products.
Join us on our mission and shape the future!

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 code/engineering.
Please Note: We are looking for candidates who are able to commit to 20 hours per week at a $40/hour contract rate (commensurate with experience). This role is BYOD - Bring Your Own Device (laptop). This role can be hybrid or fully remote. Performance incentives included!

PROSPECTIVE CANDIDATES, PLEASE BE ADVISED: THIS ROLE MAY INVOLVE EXPOSURE TO NOT SAFE FOR WORK (NSFW) CONTENT, INCLUDING EXPLICIT, OFFENSIVE, OR OTHER INAPPROPRIATE MATERIAL.

We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs.