Cohere

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 co-headquartered in Toronto and San Francisco, with key offices in London, New York City, Montreal, Seoul, Germany and Paris. Join us!Role Overview:As a Senior Research Engineer in our Safety team, you will play a key role in helping develop safer, more secure, and more reliable models. Your primary focus will be on building tools to enable easy data synthesis, analysis, and management, for complex combinations of real and synthetic data that is used in both model training and evaluation. You will own the cohesive vision of these tooling repositories.You will work closely with a team of research scientists and engineers to create tooling that enables tighter experimentation cycles, better data coverage of the real world, and more scientific rigour. You will have a lot of autonomy and need to be opinionated about what areas of the codebase need elegance and standards, and where that would be overengineering. You will be given high level experimental problems that need to be solved with efficient pipelines, and design and implement the solutions. Your data analysis will collaboratively feed into modelling decisions and experimentation.This role combines expertise in software engineering, statistics, and data science. If any of these topics sound interesting to you, we encourage you to apply.You will be working on the Modelling Safety and Trust team, so interest in these areas is a plus, but is not at all required.Please Note: We have offices in London, Edinburgh, Paris, Toronto, Montreal and New York, but we also embrace being remote-friendly! This role has timezone restrictions (UK, Europe, or ET) but no location restrictions.Key Responsibilities:<ul><li>Design and implement robust data pipeline tooling that enables frequent, low-friction data generation and annotation</li><li>Create cohesive data infrastructure that supports continuous parallel operation with model experimentation</li><li>Establish standardized processes for data validation, analysis, and improvement of data both training and evaluation</li><li>Collaborate with the ML modeling team to align data capabilities with experimental needs</li><li>Maintain opinionated, well-documented solutions that become team standards</li><li>Develop systematic analysis frameworks to identify incoming data sources and benchmark coverage gaps</li></ul>Qualifications:<ul><li>Extremely strong software engineering skills.</li></ul><ul><li>Strong statistical skills and experience evaluating scientific experiments related to data collection and model performance.</li><li>Proficiency in programming languages such as Python and ML frameworks (e.g., PyTorch) and Big Data Analytics (e.g. BigQuery, SQL)</li></ul><ul><li>Demonstrated ability to own complex technical projects from conception to deployment</li><li>Opinionated approach to technical architecture with ability to make principled decisions</li><li>Understanding of ML data requirements and the intersection of data engineering with modeling workflows</li></ul>Working Location:This role can be based remotely or from one of our office locations listed on the job description - there is no minimum in-office qualification requirement. We care most about hiring exceptional people regardless of locations, though please check the location listed on the posting for guidance around the core time zone or working hours alignment expected for the role.Compensation:Cohere is committed to fair and transparent pay practices. The salary range listed for this role reflects the expected base compensation. Actual compensation offered will be determined by factors such as location, level, job-related knowledge, skills, education, and experience:United States:<ul><li>For candidates based in New York, the compensation range is: $270,000 – $380,000</li><li>For candidates based elsewhere in the US (ET), the compensation range is: $230,000 – $325,000</li></ul>Canada:<ul><li>For candidates based in the Toronto GTA and Montreal, the compensation range is: $385,000 – $535,000</li><li>For candidates based elsewhere in Canada (ET), the compensation range is: $330,000 – $460,000</li></ul>Elsewhere:<ul><li>To be discussed with your recruiter</li></ul><h2>Full-Time Employees at Cohere enjoy these Perks:</h2><ul><li>A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch.</li><li>Full health and dental benefits, including a separate budget for mental health.</li><li>RRSP matching, 401K, Pension Scheme.</li><li>100% Parental Leave top-up for up to 6 months, for either parent.</li><li>Annual enrichment benefits:Arts &amp; culture, fitness/wellness, quality time, and a workspace improvement credit.Education &amp; learning stipend for conferences, courses, and coaching.</li></ul><ul><li>6 weeks of paid vacation (30 working days!)</li><li>Budget for traveling to other offices if you are remote, plus an annual company offsite.</li></ul><h2>How and Where We Work:</h2><ul><li>Cohere is remote-friendly. We have offices in Toronto, San Francisco, New York City, London, Paris, Montreal, and more coming soon.</li><li>For those in the office: a daily lunch program, plenty of snacks, and regular community and social events.</li><li>For those not near an office: a co-working benefit so you can work alongside others in your city.</li><li>Everyone receives a $500 home office stipend to set up your workspace properly.</li></ul>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<a target="_blank" rel="noopener noreferrer ugc" href="https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit"> Accommodations Request Form</a>, 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.

Senior Research Engineer - Safety Tooling and Data

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 co-headquartered in Toronto and San Francisco, with key offices in London, New York City, Montreal, Seoul, Germany and Paris. Join us!<h2>Why this role?</h2>North is Cohere's cutting-edge AI workspace platform, designed to revolutionize the way enterprises utilize AI. It offers a secure and customizable environment, allowing companies to deploy AI while maintaining control over sensitive data. North integrates seamlessly with existing workflows, providing a trusted platform that connects AI agents with workplace tools and applications.The Agents &amp; Automations team builds the platform inside North that lets customers create AI-powered workflows. Some of these workflows are structured automations, such as routing requests, keeping systems up-to-date, or triggering approvals. Others are more flexible agents that can gather context, use tools, make decisions, and take action across enterprise systems.As an engineer on this team, you will help build the core platform that makes this possible: the workflow builder, execution engine, integrations, debugging tools, observability, evaluation systems, and feedback loops that help customers understand and improve what they deploy.This is broad product engineering work across frontend, backend, and AI-powered systems. The goal is to ship reliable software that helps customers augment or automate real business workflows with agents and automations they can trust.<h2>In this role you will:</h2><ul><li>Build and ship features for North, our AI workspace platform</li><li>Develop autonomous agents that talk to sensitive enterprise data</li><li>Write and ship minimal code that runs in low-resource environments, and has highly stringent deployment mechanisms</li><li>As security and privacy are paramount, you will sometimes need to re-invent the wheel, and won’t be able to use the most popular libraries or tooling</li><li>Collaborate with researchers to productionize state-of-the-art models and techniques</li></ul><h2>You may be a good fit if:</h2><ul><li>You have at least two years' experience</li><li>Have shipped (lots of) fullstack code (Python and React) in production</li><li>You excel in fast-paced environments and can execute while priorities and objectives are a moving target</li><li>You’ve worked in both large enterprises and startups</li><li>You have strong coding abilities and are comfortable working across the stack.</li><li>You’re able to read and understand, and even fix issues outside of the main code base</li><li>You have built and deployed extremely performant client-side or server-side RAG/agentic applications to millions of users.</li><li>Bonus: You love art and have an eye for design and a creative mindset - A plus, if you have a portfolio, GitHub or other showcases of your projects</li></ul>Our stack includes Python, TypeScript with React, Postgres, and Kubernetes. We care more about strong fundamentals, product judgment, agency, and learning ability than prior experience with every part of the stack.If this role sounds exciting, but your experience does not match every bullet, 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<a target="_blank" rel="noopener noreferrer ugc" href="https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit"> Accommodations Request Form</a>, and we will work together to meet your needs.<h2>Full-Time Employees at Cohere enjoy these Perks:</h2><ul><li>A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch.</li><li>Full health and dental benefits, including a separate budget for mental health.</li><li>RRSP matching, 401K, Pension Scheme.</li><li>100% Parental Leave top-up for up to 6 months, for either parent.</li><li>Annual enrichment benefits:Arts &amp; culture, fitness/wellness, quality time, and a workspace improvement credit.Education &amp; learning stipend for conferences, courses, and coaching.</li></ul><ul><li>6 weeks of paid vacation (30 working days!)</li><li>Budget for traveling to other offices if you are remote, plus an annual company offsite.</li></ul><h2>How and Where We Work:</h2><ul><li>Cohere is remote-friendly. We have offices in Toronto, San Francisco, New York City, London, Paris, Montreal, and more coming soon.</li><li>For those in the office: a daily lunch program, plenty of snacks, and regular community and social events.</li><li>For those not near an office: a co-working benefit so you can work alongside others in your city.</li><li>Everyone receives a $500 home office stipend to set up your workspace properly.</li></ul>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<a target="_blank" rel="noopener noreferrer ugc" href="https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit"> Accommodations Request Form</a>, 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.

Software Engineer, Adoption

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 co-headquartered in Toronto and San Francisco, with key offices in London, New York City, Montreal, Seoul, Germany and Paris. Join us!Why this role?This role will focus on evaluating data science and coding tasks, requiring you to review and debug code, analyze model trajectories, and assess data visualization script development and logical flow implementation. Your work will contribute to our model development efforts and the logic our models apply when completing task requests.Please note: This is a part-time independent contractor position available within Canada. We seek candidates who are able to commit to 16 hours per week minimum at a 40 CAD/hour contract rate. This role is BYOD 💻 - Bring Your Own Device (laptop). Remote work within Canada. 12 month contract. Performance incentives included!As a Data Annotation Specialist, you will:<ul><li>Evaluate the model's ability to respond to coding requests, workflows, and code base-related questions using available tools.</li><li>Assess agent trajectories and model capabilities for code generation, tabular and graphic manipulation, and debugging requests.</li><li>Prompt models to complete complex data science tasks and review the accuracy of generated responses.</li><li>Label, proofread, and improve machine-written and human-written software engineering-related outputs.</li><li>Report quality and performance trends related to model/agent behaviour and project assignments.</li></ul>You may be a good fit if you have:<ul><li>Exceptional data analysis and visualization skills.</li><li>3+ years of relevant industry experience working on real-world data science problems and pipelines.</li><li>Proficient knowledge and understanding of Python and industry-standard data science packages (numpy, pandas, matplotlib, sqlite, or others).</li><li>Strong understanding of SQL syntax writing and workflows; and a deep familiarity with file/data formats, such as markdown, JSON, XML, YAML, and HTML.</li><li>Prior experience re-writing, proofreading, and delivering feedback on code.</li><li>Familiarity with code agents (OpenCode, Claude Code, Codex) or evaluating agent trajectories is a plus.</li></ul>The Candidate Journey:Initial Screening - Once you have submitted your application, our Talent Team will review your resume and writing samples.Virtual Annotation Test - This assignment will test your written and technical skills through various language-based tasks, such as a data science take-home assessment, writing sample, and more.Video Screen - If selected to move forward, you will have a short video call with a member of our Operations Team!Offer - Independent Contractor AgreementAs an independent contractor, you maintain control over how you complete your work and may work with multiple clients simultaneously. We request that you declare any external work relationships with Cohere’s direct competitors and always maintain the IP confidentiality of the Cohere project. Independent contractors are not eligible for health benefits or other benefits provided to employees. Compensation for services is provided to contractors by self-invoicing for services provided pursuant to the terms of our agreement with the contractor.It is important to understand that, as an independent contractor, continuous work is not guaranteed. The client-contractor relationship is fundamentally project-based, meaning engagements may be temporary, periodic, or intermittent based on our organizational needs and project availability. As an independent contractor, you should anticipate fluctuations in workflow and, therefore, compensation for services when Cohere does not require as many hours of services in a week.Prospective candidates, please be advised: this role involves working with human-generated and model-generated tasks that may involve exposure to not safe for work (NSFW) text content as part of data annotation tasks, including explicit, offensive, or other inappropriate material.If the above qualifications do not perfectly align 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.

Data Annotation Specialist, Data Science

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 co-headquartered in Toronto and San Francisco, with key offices in London, New York City, Montreal, Seoul, Germany and Paris. Join us!Why this role?This role will focus on evaluating coding tasks, requiring you to review and debug code, navigate repository architecture, and analyze model trajectories. Your work will contribute to our model development efforts and the logic our models apply when completing task requests.Please note: This is a part-time independent contractor position available within Canada. We seek candidates who are able to commit to 16 hours per week minimum at a 40 CAD/hour contract rate. This role is BYOD 💻 - Bring Your Own Device (laptop). Remote work within Canada. 12 month contract. Performance incentives included!As a Data Annotation Specialist, you will:<ul><li>Evaluate the model's ability to respond to coding requests, workflows, and code base-related questions using available tools.</li><li>Assess agent trajectories and model capabilities for code generation and debugging requests.</li><li>Prompt models to complete complex coding tasks and review the accuracy of generated responses.</li><li>Label, proofread, and improve machine-written and human-written software engineering-related outputs.</li><li>Report quality and performance trends related to model/agent behaviour and project assignments.</li></ul>You may be a good fit if you have:<ul><li>Subject matter expertise in software engineering - you have both studied in this field and have 3-5 years of relevant industry experience.</li><li>Proficient knowledge and understanding of Python and the following programming languages: Java, JavaScript, Go, and SQL (any dialect).</li><li>Prior experience designing, building, and deploying APIs</li><li>Prior experience working with code agents (OpenCode, Claude Code, Codex, Cursor) or evaluating agent trajectories is a big plus.</li></ul>The Candidate Journey:Initial Screening - Once you have submitted your application, our Talent Team will review your resume and writing samples.Virtual Annotation Test - This assignment will test your written and technical skills through various language-based tasks, such as a coding take-home assessment, writing sample, and more.Video Screen - If selected to move forward, you will have a short video call with a member of our Operations Team!Offer - Independent Contractor AgreementAs an independent contractor, you maintain control over how you complete your work and may work with multiple clients simultaneously. We request that you declare any external work relationships with Cohere’s direct competitors and always maintain the IP confidentiality of the Cohere project. Independent contractors are not eligible for health benefits or other benefits provided to employees. Compensation for services is provided to contractors by self-invoicing for services provided pursuant to the terms of our agreement with the contractor.It is important to understand that, as an independent contractor, continuous work is not guaranteed. The client-contractor relationship is fundamentally project-based, meaning engagements may be temporary, periodic, or intermittent based on our organizational needs and project availability. As an independent contractor, you should anticipate fluctuations in workflow and, therefore, compensation for services when Cohere does not require as many hours of services in a week.Prospective candidates, please be advised: this role involves working with human-generated and model-generated tasks that may involve exposure to not safe for work (NSFW) text content as part of data annotation tasks, including explicit, offensive, or other inappropriate material.If the above qualifications do not perfectly align 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.

Data Annotation Specialist, Software Engineering

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 co-headquartered in Toronto and San Francisco, with key offices in London, New York City, Montreal, Seoul, Germany and Paris. Join us!<h2>Why this role?</h2>North is Cohere's cutting-edge AI workspace platform, designed to revolutionize the way enterprises utilize AI. It offers a secure and customizable environment, allowing companies to deploy AI while maintaining control over sensitive data. North integrates seamlessly with existing workflows, providing a trusted platform that connects AI agents with workplace tools and applications.The Agents &amp; Automations team builds the platform inside North that lets customers create AI-powered workflows. Some of these workflows are structured automations, such as routing requests, keeping systems up-to-date, or triggering approvals. Others are more flexible agents that can gather context, use tools, make decisions, and take action across enterprise systems.As an engineer on this team, you will help build the core platform that makes this possible: the workflow builder, execution engine, integrations, debugging tools, observability, evaluation systems, and feedback loops that help customers understand and improve what they deploy.This is broad product engineering work across frontend, backend, and AI-powered systems. The goal is to ship reliable software that helps customers augment or automate real business workflows with agents and automations they can trust.<h2>As a Software Engineer, Agents &amp; Automations, you will:</h2><ul><li>Design, build, ship, and maintain core capabilities for North’s Agents &amp; Automations platform.</li><li>Build product and platform features that help users create, run, debug, evaluate, and improve agents and automations.</li><li>Own features end-to-end, from technical design through implementation, testing, launch, and iteration.</li><li>Work across the stack, from frontend product surfaces to backend systems, depending on what the product needs.</li><li>Make practical technical decisions that balance speed, quality, depth, and user impact.</li><li>Collaborate closely with product, design, modelling, customer-facing teams, and other engineers to define the right outcomes and ship measurable improvements.</li><li>Use AI actively in your work, while staying intellectually engaged and accountable for the quality and reliability of what you ship.</li></ul>Example problems you might work on include helping users turn natural-language intent into a working automation, adding richer analytics for deployed agents, creating better debugging tools for failed runs, or designing workflow primitives that make complex enterprise automations easier to build.<h2>You may be a good fit if:</h2><ul><li>You have built, shipped, and operated production software used by real users or customers.</li><li>You are comfortable working across backend, frontend, product, data, and infrastructure boundaries.</li><li>You have strong product judgment, pay close attention to user experience details, and care deeply about whether your work helps the end user.</li><li>You bring high agency: you act, tinker, learn quickly, and drive change without waiting for perfect instructions.</li><li>You move quickly while maintaining a high bar for correctness, maintainability, and user impact.</li><li>You communicate clearly in a distributed, asynchronous team, document important decisions, and collaborate well across functions</li><li>You can advocate for a point of view, change your mind when the evidence changes, and commit once a decision is made.</li><li>You are excited to use AI to do your best work, while staying accountable for the systems you build.</li></ul>Our stack includes Python, TypeScript with React, Postgres, and Kubernetes. We care more about strong fundamentals, product judgment, agency, and learning ability than prior experience with every part of the stack.If this role sounds exciting, but your experience does not match every bullet, 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<a target="_blank" rel="noopener noreferrer ugc" href="https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit"> Accommodations Request Form</a>, and we will work together to meet your needs.<h2>Full-Time Employees at Cohere enjoy these Perks:</h2><ul><li>A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch.</li><li>Full health and dental benefits, including a separate budget for mental health.</li><li>RRSP matching, 401K, Pension Scheme.</li><li>100% Parental Leave top-up for up to 6 months, for either parent.</li><li>Annual enrichment benefits:Arts &amp; culture, fitness/wellness, quality time, and a workspace improvement credit.Education &amp; learning stipend for conferences, courses, and coaching.</li></ul><ul><li>6 weeks of paid vacation (30 working days!)</li><li>Budget for traveling to other offices if you are remote, plus an annual company offsite.</li></ul><h2>How and Where We Work:</h2><ul><li>Cohere is remote-friendly. We have offices in Toronto, San Francisco, New York City, London, Paris, Montreal, and more coming soon.</li><li>For those in the office: a daily lunch program, plenty of snacks, and regular community and social events.</li><li>For those not near an office: a co-working benefit so you can work alongside others in your city.</li><li>Everyone receives a $500 home office stipend to set up your workspace properly.</li></ul>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<a target="_blank" rel="noopener noreferrer ugc" href="https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit"> Accommodations Request Form</a>, 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.

Cohere

Open jobs at Cohere

Senior Research Engineer - Safety Tooling and Data

Software Engineer, Adoption

Data Annotation Specialist, Data Science

Data Annotation Specialist, Software Engineering

Software Engineer, Agents & Automations

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