cohere's Posts (57)

Data Annotator - Finance / Accounting

Who are we?Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like 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 what’s best for our customers.Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is the 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!Why this role?We are on a mission to build machines that understand the world and make them safely accessible to all. Data quality is foundational to this process. Machines (or Large Language Models to be exact) learn in similar ways to humans - by way of feedback. By labelling, ranking, auditing, and correcting text output, you will improve Large Language Model’s performance for iterations to come, thus having a lasting impact on Cohere’s tech. This role will have you focus on financial modelling and finance-based questions. You will teach the Cohere model how to perform across a variety of different functions and logic.Please Note: This is a part-time contract position. We are looking for candidates who are able to commit to 20 hours per week at a $30/hour contract rate (commensurate with experience). This role is BYOD 💻 - Bring Your Own Device (laptop). Once training is completed, this role is hybrid. Performance incentives included! As a Senior Data Quality Specialist, you will:Evaluate the model’s ability to respond to objective financial queries ( you will not be giving financial advice)Write financial prompts along with verified information to evaluate the accuracy of the model’s responsesLabel, proofread, and improve machine-written and human-written financial outputs.Follow our style guide, and make recommendations on unique situations that fall outside of its scope. You may be a good fit if you have:2+ years of industry experience working in the finance sectorExperience with preparing and understanding financial statements, key metrics, business acumenExperience with risk analysis processesExperience with financial modelling/analysis that informs strategic decision makingYou are an expert in Excel and/or VBA The Candidate Journey:Initial Screening - Once you have submitted your application our Talent Team will review your resume and writing samples.Virtual Meet & Greet - If selected to move forward, you will have a short video call with a member of our Annotation Army!Practical Assessment - This assignment will test your written skill through various language-based tasks, such as a a writing sample, interacting with a chat bot, and more.Offer - Independent Contractor Agreement. Prospective candidates, please be advised: this role may involve exposure to Not Safe For Work (NSFW) content, including explicit, offensive, or other inappropriate material.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.Our Perks:🤝 An open and inclusive culture and work environment 🧑‍💻 Work with cutting-edge AI technology 🪴 A vibrant & central location 🥨 A great selection of office snacks 🏆 Performance-based incentives

Location: Toronto / United States / Canada

Salary range: None - None

Data Annotator - Science

Who are we?Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like 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 what’s best for our customers.Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is the 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!Why this role?We are on a mission to build machines that understand the world and make them safely accessible to all. Data quality is foundational to this process. Machines (or Large Language Models to be exact) learn in similar ways to humans - by way of feedback. By labelling, ranking, auditing, and correcting text output, you will improve Large Language Model’s performance for iterations to come, thus having a lasting impact on Cohere’s tech. This role will have you focus on science, math, logic and reasoning. You will teach the Cohere model how to perform across a variety of different functions and logic.Please Note: This is a part-time contract position. We are looking for candidates who are able to commit to 20 hours per week at a $30/hour contract rate (commensurate with experience). This role is BYOD 💻 - Bring Your Own Device (laptop). Once training is completed, this role is hybrid. Performance incentives included! As a Senior Data Quality Specialist , you will:Label, rank, audit, and correct machine learning data with a focus on science, logic and math-related content.Complete reading or math-based tasks in an efficient and attentive manner. Complete preference-based tasks to evaluate which responses best follow our style guide.Recommend optimization opportunities. Provide feedback to cross-functional team members. Maintain close attention to detail, while performing repetitive and precise tasks. You may be a good fit if you have:Subject matter expertise in STEM (advanced, university level) - you have both studied in these fields and have practical experience applying them in a workplace.Strong reading and writing skills - which you are ready to prove on our written test.Some experience working with structured data (ex. csv, json etc).Deep attention to detail and commitment to accuracy - you’re the type to proofread all of your emails! High tolerance for repetitive and monotonous work.Ability to follow complex instructions, navigate ambiguity and work independently.Superb sense of urgency and time management.A reliable laptop to work from. The Candidate Journey:Initial Screening - Once you have submitted your application our Talent Team will review your resume and writing samples.Virtual Meet & Greet - If selected to move forward, you will have a short video call with a member of our Annotation Army!Practical Assessment - This assignment will test your written skill through various language-based tasks, such as a a writing sample, interacting with a chat bot, and more.Offer - Independent Contractor Agreement. Prospective candidates, please be advised: this role may involve exposure to Not Safe For Work (NSFW) content, including explicit, offensive, or other inappropriate material.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.Our Perks:🤝 An open and inclusive culture and work environment 🧑‍💻 Work with cutting-edge AI technology 🪴 A vibrant & central location 🥨 A great selection of office snacks 🏆 Performance-based incentives

Location: Toronto / United States

Salary range: None - None

Data Scientist - Annotation Contract (3+ years exp, London UK)

Who are we?Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like 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 what’s best for our customers.Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is the 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!Why this role?At Cohere, we’re obsessed with language and technology— we believe we need great writers and developers and always will. We also believe that remarkable talent, enthusiasm, and creative thinking add up to great work. We’re looking for someone with superb python and data science skills to join our team and help shape the future of language technology. The most successful candidate will be a quick learner who is excited to train our model by working on a wide variety of writing and code based prompts.We are on a mission to build machines that understand the world and make them safely accessible to all. Data quality is foundational to this process. Machines (or Large Language Models to be exact) learn in similar ways to humans - by way of feedback. Our AI Data Trainers ensure that all samples fed to our AI model are well-written, technically sound and useful to the end user. By creating content that data scientists would find useful, working python, or on use cases you will be an essential component of improving our Large Language Model’s performance for iterations to come, thus having a lasting impact on Cohere’s tech. Please Note: This is role may require occasional work on-site at our Soho office in London, UK. We are looking for candidates who are able to commit 12-24 hours a week minimum to this project. As a AI Data Trainer, you will:Spend the majority of your time writing or reading/proofreading code and natural language to create perfect samples to train our models.Label, proofread, and improve machine-written and human-written code.Raise the bar continually by writing new code that is of exceptional quality to solve a variety of tasks, with a particular focus on data analytics.Adeptly vary the style, functionality of code examples.Follow our style guide, and make recommendations on unique situations that fall outside of its scope.Work with intense attention to detail while citing sources of information. You might be a good fit if you are:3+ years of industry experience working on real-world data science problems and pipelines. You excel in data analysis and visualization.a meticulous coder with an eye for readability, with experience in python and industry standard data science packages (numpy, pandas, matplotlib, sqlite, or others).Able to use sql syntax writing and workflows.You have good familiarity with file/data formats, such as markdown, json, xml, yaml, html.A thoughtful and thorough code reviewer. You've spent time re-writing, proofreading, and giving feedback on others' code in a previous role. You've worked with a code style guide before and enjoyed it. Other things you’ll need:Located in the UK.A fast, thorough reader with great comprehension skills.A curiosity about ML or AI or LLMs, (bonus points if you have any experience in these).Expert in web-based research skills that you've used for your code before.Ability to follow complex instructions, navigate ambiguity and work independently in a remote or hybrid environment. Interview Process:- 20-30 minute video interview- Technical assessmentWe 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.Our Perks:🤝 An open and inclusive culture and work environment 🧑‍💻 Work with cutting-edge AI technology 🪴 A vibrant & central location 🥨 A great selection of office snacks 🏆 Performance-based incentives

Location: London

Salary range: None - None

Customer Success Manager

Who are we?Our mission is to scale intelligence to serve humanity. We’re 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 what’s 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!Why this role?Cohere’s Customer Success team ensures our customers have the best experience both onboarding and using our platform. The team is quickly scaling and we are seeking a Customer Success Manager. In this individual contributor role, the Customer Success Manager will enhance the utilization of Cohere's technology and maximize the value it brings to the customer. You will be the main point of contact, understanding the requirements of our clients and partners and ensuring an outstanding experience. As a Customer Success Manager, you will:Be an expert in Cohere's product suiteAct as the voice of the customer.  Identify insights & communicate them to our Product, Sales and Engineering teams- Unblock paths to deployment: partner with internal teams and customers to remove blockers and speed up time to deployment and value.Gain a deep understanding of the customers' needs and guide them strategically towards solutionsOwn the end-to-end renewal process (forecasting, reporting, mitigating churn & lead renewals) - conduct QBR’s, identify expansion opportunities, manage contract negotiations & coordinate with product teamsBuild a trusted advisor relationship with customers This career opportunity may be a good match for you if you have:5+ years of experience in Customer Success working with a technical enterprise product/solutionA natural passion and interest in the AI industry (LLMs in particular)Crisp communication skills. You listen well (you put yourself in the users shoes). You have experience articulating technical terms to non-technical audiencesA collaborative mindset & experience working cross-functionally with multiple teams and stakeholders.A strong understanding or a background in LLMs, AI or Machine LearningThe ability to do whatever it takes to solve a problem. The ability to pivot with speed.  Resourcefulness and willingness to explore multiple solutionsA solutions engineering skillset (ie. some knowledge of APIs/Python/model serving is nice to have If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! If you consider yourself a thoughtful worker, a lifelong learner, and a kind and playful team member, Cohere is the place for you.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.Our 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 6 months for employees based in Canada, the US, and the UK🎨 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 and London and co-working stipend✈️ 6 weeks of vacationNote: This post is co-authored by both Cohere humans and Cohere technology.

Location: San Francisco / New York

Salary range: None - None

Head of Customer Success, Support & Services

Who are we?Our mission is to scale intelligence to serve humanity. We’re 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 what’s 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!Why this role?Cohere seeks an experienced and passionate Head of Services, Customer Success & Support  to lead our Customer Success and Support teams. In this role, you will be responsible for leading and developing a talented post-sales Customer Success and Support team, who are the primary owners of business and technical relationships with our customers.  The ideal candidate will have a background leading post-sales teams in the ML/AI/Data Engineering industry. In this role you will:Drive product adoption and customer experience for our largest customers.Define the customer lifecycle including roles and responsibilities, handoffs, and workflow & influence the product roadmap.Lead customer-facing teams, including coaching sub-function leaders (Customer Success, Services, Technical Support) to ensure that all teams are aligned and focused on delivering an exceptional customer experience.Measure and analyze customer data to identify trends and areas for improvement, including analyzing customer feedback, support metrics, and other customer-related data to develop insights that can be used to improve the customer experience, troubleshoot issues and showcase Cohere’s value proposition.Enhance the customer journey, identifying the key touch points across interactions with customers and developing strategies to optimize each step of the journey.Champion the customer within the organization, advocating for the customer in all decision-making processes at the executive level to ensure that customer needs are taken into account when making strategic decisions.Collaborate and partner with other internal teams (pre-sales, Product Management, Machine Learning Engineerings) to ensure that the voice of the customer is represented in strategic decisions. You may be a good fit, if you have:10+ years of leadership experience developing top-performing teams in Customer Success, Technical Support and Services.Work experience in the AI, ML, Data Engineering, Cloud, SaaS or Tech Infra industry.Proven experiences being highly focussed on customer needs, you're an amazing relationship builder and you can proactively spot opportunities to engage customers and build loyalty.An exceptional collaborative mindset and know how to engage and communicate with leadership and technical & non-technical stakeholders.Strong experience building strategy, a willingness to execute and build from the ground up & are always willing to dig deeper and jump in when it comes to our customers. If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! If you consider yourself a thoughtful worker, a lifelong learner, and a kind and playful team member, Cohere is the place for you.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.Our 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 6 months for employees based in Canada, the US, and the UK🎨 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 and London and co-working stipend✈️ 6 weeks of vacationNote: This post is co-authored by both Cohere humans and Cohere technology.

Location: New York

Salary range: None - None

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