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 content generation, 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 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!
This internship offers a unique opportunity to make a tangible impact on Cohere’s HR operations while developing skills in data management, system implementation, and cross-functional collaboration. As an HR Data Intern, you’ll play a critical role in ensuring the success of our Rippling HRIS implementation—a project that will streamline processes, improve data accuracy, and enhance the employee experience across the organization.
Why This Role Stands Out
- Real-World Impact: Your work will directly contribute to a major organizational initiative, ensuring HR data is accurate, structured, and ready for the new system.
- Skill Development: Gain hands-on experience with HRIS systems, data validation, and documentation—skills highly transferable across industries and roles.
- Mentorship & Collaboration: Work closely with HR and IT professionals, learning from their expertise and building valuable connections within the company.
Key Responsibilities
- Assist in auditing and cleaning existing HR data to ensure accuracy and consistency.
- Help structure and document HR processes and workflows for Rippling.
- Collaborate with HR and IT teams to identify and resolve data discrepancies.
- Support testing and validation of the Rippling system post-implementation.
Qualifications
- Strong attention to detail and ability to work with large datasets.
- Ability to manage multiple tasks and meet deadlines without compromising on quality.
- Experience with data organization, documentation, or structured workflows.
- A degree in Information Science, Library Science, HR, or a related field (preferred but not required).
- Familiarity with HR processes or HRIS systems (preferred but not required).
If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply!
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.
Full-Time Employees at Cohere enjoy these Perks:
🤝 An open and inclusive culture and work environment
🧑💻 Work closely with a team on the cutting edge of AI research
🍽 Weekly lunch stipend, in-office lunches & snacks
🦷 Full health and dental benefits, including a separate budget to take care of your mental health
🐣 100% Parental Leave top-up for up to 6 months
🎨 Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement
🏙 Remote-flexible, offices in Toronto, New York, San Francisco, London and Paris, as well as a co-working stipend
✈️ 6 weeks of vacation (30 working days!)