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Member of Technical Staff - Post-training (Data Infrastructure)Cohere · United States
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Cohere

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Member of Technical Staff - Post-training (Data Infrastructure)

🗓️ Posted 2026-10-14 United States Fulltime Hybrid General
💰 Salary Not shared 📊 Market AED 12,000–AED 18,000/mo

About the Company

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

About the Role

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.

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.

Requirements

  • ● Strong software engineering skills.
  • ● 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.
  • ● % Parental Leave top-up for up to 6 months, for either parent.
  • ● Annual enrichment benefits:
  • ● Arts & culture, fitness/wellness, quality time, and a workspace improvement credit.
  • ● 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.
  • ● If any of the above doesn't line up exactly with your experience, we still encourage you to apply.