Member of Technical Staff - Post-training (Data Infrastructure)
- Salary
- CA$295K - CA$535K
- Level
- Staff
- Work type
- On-site
Not stated in the posting: visa.
Open. First seen 14 October 2026.
About the role
Who are we?
Cohere's standard text
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.
Qualifications
- Strong software engineering skills.
- Experience designing and building large-scale data pipelines for machine learning, ideally for LLM post-training.
- Track record of running distributed data processing and model inference at scale.
- Good understanding of post-training methods (e.g., SFT, RLHF, DPO) and how data shapes model behaviour.
- Excellent communication skills.
This is neither an exhaustive nor necessary set of attributes. Even if none of these apply to you, but you believe you will contribute to Cohere, please reach out. We value diverse backgrounds and perspectives at Cohere
Full-Time Employees at Cohere enjoy these Perks:
- A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch.
- Full health and dental benefits, including a separate budget for mental health.
- RRSP matching, 401K, Pension Scheme.
- 100% Parental Leave top-up for up to 6 months, for either parent.
- Annual enrichment benefits:
Cohere's standard text
Arts & culture, fitness/wellness, quality time, and a workspace improvement credit.
Education & learning stipend for conferences, courses, and coaching.
- 6 weeks of paid vacation (30 working days!)
- Budget for traveling to other offices if you are remote, plus an annual company offsite.
How and Where We Work:
- Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon.
- For those in the office: a daily lunch program, plenty of snacks, and regular community and social events.
- For those not near an office: a co-working benefit so you can work alongside others in your city.
- Everyone receives a $500 home office stipend to set up your workspace properly.
Cohere's standard text
If any of the above doesn’t line up exactly with your experience, we still encourage you to apply.
We 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.
We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider.
Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers page.
What this role asks for
54% of this description is written for the role. The rest is Cohere's standard text, folded away below.
Read against Cohere's other open postings on this site.
The team: Modeling HIRES STEADILY
This role is one of 23 open in Modeling. 2 were posted in the last 30 days and the oldest in November: a team that hires all year rather than one being built.
WHAT THE TEAM WORKS WITH, ACROSS ITS POSTINGS
Machine Learning (19 of 23), Python (17 of 23), LLM (14 of 23), PyTorch (13 of 23), TensorFlow (6 of 23), CUDA (5 of 23), Kubernetes (5 of 23)
OTHER ROLES ON THIS TEAM
- Member of Technical Staff - Post-Training (Reinforcement Learning & Generalization) posted Oct 14
- Member of Technical Staff, North Modelling (Evals) posted Aug 19
- Member of Technical Staff - RL Environments posted Aug 17
- Member of Technical Staff, Multilingual posted Aug 17
- Member of Technical Staff, Agentic Environments posted Aug 13
- Senior Research Engineer - Safety Tooling and Data posted Jun 26
- Senior Member of Technical Staff, Web Data posted Jun 1
- Senior Member of Technical Staff, Safety and Security for Agents posted Mar 23
- Member of Technical Staff, Data Analysis and Evaluation posted Dec 15
- Senior ML Systems Engineer, Frameworks & Tooling posted Dec 1
- Senior Member of Technical Staff, Synthetic Data posted Nov 26
- Audio Inference Engineer, Model Efficiency posted Nov 7
- Staff Research Engineer, Model Efficiency posted Nov 7
- Member of Technical Staff, Model Efficiency posted Nov 7
- Member of Technical Staff, Agent Code posted Sep 16
- Member of Technical Staff, Integration/RL Team (Research Engineer) posted Aug 19
- Member of Technical Staff, Pre-Training Data posted Jun 25
- Member of Technical Staff, Post-Training posted Jun 13
- Member of Technical Staff, Training Infra Engineer posted Feb 20
- Member of Technical Staff, Training Performance Engineer posted Feb 20
- Senior Member of Technical Staff, Multimodal AI posted Dec 3
- Member of Technical Staff, Modeling posted Nov 1
From the team and dates on Cohere's own job board.
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