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

Revenue Operations 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? In this individual contributor role, we seek an experienced Revenue Operations Manager who can help us on our transformative journey to architect and build an industry leading go-to-market engine. The ideal candidate has multidisciplinary Enterprise Technology strategy experience across go-to-market domains (Marketing, Field Sales, Channels, Customer Success, etc.) and is also passionate about ‘rolling their sleeves up’ and working cross- functionally with a broad set of stakeholders to get things done. This role has a broad scope and seeks a candidate with big-picture thinking, reliable business judgment, transformation experience, influencing skills, and a ‘move the needle’ mindset.  This unique role will directly impact the growth trajectory of Cohere. As our Revenue Operations Manager, you will: Help us build our go-to-market strategy alongside our pre and post sales leadership team including: product market fit, product price lineup, customer segmentation, coverage model, roles and responsibilities along the pre/post sales lifecycle.Build and manage sales enablement elements including onboarding & the ongoing training of soft skills/product readiness in relation to product launches including: certification and the production/design of sales collateral. Refine the sales team compensation and incentive structure including: plan elements, attainment criteria, base/variableIdentify, implement and own the tools and systems needed to drive productivity (ie. forecasting & opportunity management).Identify, implement and own the tools and systems needed to drive productivity (ie. forecasting & opportunity management).Co-develop the partner and customers success strategy and approach including partner incentives, customer success, health index, technical support tiers.Drive complex x-functional efforts for the company including long-range planning and GTM resource allocation, owning the internal alignment of GTM strategy with other departments (ie. Product, Finance, IT, People). The Revenue Operations Manager role is a good match for you if you have: 3+ years of professional work experience at a major global consulting firm.7+ years of experience in Sales Operations or Revenue Operations in a technology/SaaS company.Experience with Enablement in addition to other Revenue Operations areas.Experience building Revenue & Sales Operations programs from scratch. Experience developing and executing integrated GTM strategies to unlock growth. Strong understanding of recurring revenue models, enterprise technology business models and go-to-market strategies.Experience building financial models and forecasting industry trends. Superior analytical and problem-solving skills. Experience engaging with executive senior leadership in a constructive and collaborative manner. A strong sense of ownership & are self-motivated and self-directed. 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 / Toronto / New York

Salary range: None - None

Account Executive, Commercial

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?In this role, you will have ownership of the full sales cycle - from identifying leads to closing deals for high-growth tech companies. We’re looking for an approachable and compelling communicator who loves working with prospects to uncover their needs and feels comfortable developing tailored value propositions around how Cohere’s platform can help them achieve their business goals. You’ll lay the foundation for Cohere’s growth by owning your territory and collaborating with teammates across customer success, sales development, marketing and sales engineering. You’ll be the voice of the field and help our product, and engineering teams prioritize the Cohere roadmap with customer-centric care. It’s a highly self-directed role, so you should be someone who thrives in an unstructured environment and quickly evolving environment. And your opportunity for impact will be astronomical — Cohere has skies-the-limit potential, and you’ll help us reach it. As an Account Executive, you will:Focus on net-new logo acquisition via outbound activity and relationship building with key stakeholdersWork closely with customers and prospects as a trusted advisor who deeply understands their challenges and goals, and will tailor solutions to drive impact for their businessesWork in close partnership with channel partners to find opportunities to scale outreach and customer satisfaction in your regionCollaborate with product and engineering teams on strategic motions to deliver solutions to large enterprise customersCollaborate with Sales Development Representatives to drive top of funnel activityOwn the full sales cycle – from initial outreach through proof-of-concept through deal close You may be a good fit if you have:5+ years of previous B2B sales experience, negotiating and closing SaaS deals in the 6 figure range, and a track record of high performance and beating your quotaPrevious experience selling technical products, such as developer tools, API products, or AI / NLP solutions, are a plusPrevious experience working with channel partners to drive sales cycles and hit shared revenue goalsHigh tolerance for ambiguity - as an early sales hire, you’ll have to be a doer and a strategistCuriosity - you want to go deep on NLP and become an expert on our technologyFantastic communication skills - you are a great listener, have a knack for understanding what matters most to others, build strong relationships, can speak to the c-suite, and feel comfortable speaking to both technical and non-technical audiences 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

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