Summer HR Intern – Rippling HRIS Implementation

Cohere

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profile Job Location:

Toronto - Canada

profile Monthly Salary: Not Disclosed
Posted on: 16 hours ago
Vacancies: 1 Vacancy

Job Summary

Who are we

Our mission is to scale intelligence to serve humanity. Were 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 whats 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 Coheres HR operations while developing skills in data management system implementation and cross-functional collaboration. As an HR Data Intern youll play a critical role in ensuring the success of our Rippling HRIS implementationa 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 documentationskills 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 doesnt 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!)


Required Experience:

Intern

Who are weOur mission is to scale intelligence to serve humanity. Were 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 th...
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Deploy multilingual models, advanced retrieval, and intelligent agents securely and privately — without the risks of ordinary AI.

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