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Posted 25 days ago

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

@ Cohere

Canada

$295k–$535k/yrOn-siteFull-time
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SIGNALS

Overview

Cohere is hiring a Member of Technical Staff for Post-Training Data Infrastructure to build and own data pipelines for large language model post-training. The role covers SFT, preference and RL data, plus dataset quality, versioning and scalable model inference. The posting describes a full-time position with remote-friendly options and a broad benefits package.

Pay:

$295,000–$535,000 a year

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 components
  • Scale model inference for data generation and grading

Requirements summary:

  • Strong software engineering skills
  • Experience building large-scale data pipelines for machine learning
  • Track record of distributed data processing and model inference at scale
  • Understanding of SFT, RLHF and DPO post-training methods
  • Excellent communication skills

Tools & skills

Benefits mentioned

Health insuranceDentalRetirement planPaid time offParental leave
Source and dates

Employer career site / ATS feed · ashby

Employer posting date
2026-10-14
First seen by our source
2026-10-14
Source record updated
2026-11-07

These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.

Job details

SeniorityMid level
DepartmentSoftware development
Hours per week40 (estimated)
Work settingHome, Office
PositionMostly sitting
Physical demandsphysical low · computer high
LanguagesEnglish
Perks mentionedGenerous paid time off, Generous parental leave, Retirement plan, Wellness, Free or discounted meals, Home office allowance

Summary and details written by AI from the posting; the employer’s posting is the authority.

Cohere

Funding & investors

Reported funding round: Series E

Investor named in the round: Schwarz Group, Bell Ventures, Bullhound Capital, Government of Canada, Inovia Capital, NVIDIA, Prosperity7 Ventures

Announcement date: · Source checked: 2026-11-02

Company announcement
Saved company profile

Historical company information from a saved The Jobs API profile (LinkedIn/Crunchbase fields). It is not live-verified; figures may have changed. Missing values remain unknown.

Empowering enterprises with private, powerful AI.

Full company description

Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation models and end-to-end AI products designed to solve real-world business problems. We partner closely with companies to deliver seamless integration, full customization, and easy-to-use solutions for their workforce and customers. Our all-in-one platform offers enterprises the highest levels of data security, privacy and optionality to deploy across all major cloud providers, private cloud environments, or on-premises. HQ: 171 John Street, 2nd Floor, Toronto, ON M5T 1X3

LinkedIn followers
236,684
People associated on LinkedIn
907
Reported office locations
  • 171 John St, 2nd Floor, Toronto, Ontario M5T 1X3, CA
  • San Francisco, California, US
  • London, GB
  • New York, NY, US
  • Paris, FR
  • Montreal, CA
  • Seoul , KR
Business categories
  • Foundational AI
  • Artificial Intelligence
  • Software
  • Generative AI
  • Natural Language Processing
  • Artificial Intelligence (AI)
  • Machine Learning
Other recorded names
  • Cohere
Specialties
  • Natural Language Processing
  • Machine Learning
  • and Artificial Intelligence
Profile identifies a recruitment agency
No
Reported total investment
1,713,655,555

Currency and observation date were not supplied; this is not a current valuation or a funding round.

Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation models and end-to-end AI products designed to solve real-world business problems. We partner closely with companies to deliver seamless integration, full customization, and easy-to-use solutions for their workforce and customers. Our all-in-one platform offers enterprises the highest levels of data security, privacy and…

FieldValue
IndustrySoftware Development
Company size201-500 employees
HeadquartersToronto, Ontario
Organization typePrivately Held
Year founded2019
SpecialtiesNatural Language ProcessingMachine Learningand Artificial Intelligence
Open jobs on Jobsy81
LinkedInView page
Job description

Who are we?

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:

    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.

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.

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