Location: Croatia
Workplace: remote
About the Role
Are you passionate about language, technology, and data quality? Join our global community of AI specialists and contribute to the development of next-generation Generative AI systems used by millions of people worldwide.
We are looking for detail-oriented professionals with experience in annotation, content review, quality assurance, or data operations to support multilingual and multimodal AI projects.
Project Details
Job Title: Generative AI Analyst - Croatian (Croatia)
Location: Remote, Croatia
Commitment: 4 weeks
Employment Type: Freelance Contract
Pay Rate: $8.50/hour
What You’ll Do
Review, evaluate, and annotate AI-generated content across text, images, audio, and video
Perform quality checks to ensure accuracy, consistency, and compliance with project guidelines
Identify edge cases, inconsistencies, and opportunities for improvement
Contribute to the development of high-quality datasets used to train advanced AI models
Participate in calibration and quality alignment activities
Provide feedback to help improve workflows and annotation guidelines
Requirements:
Native-level proficiency in
Croatian (Croatia)
Strong written communication skills in English
Excellent attention to detail and analytical thinking
Experience in annotation, content review, quality assurance, data labeling, localization, or related fields
Ability to work independently and follow detailed guidelines
Experience working with multilingual, multimedia, or AI-related content is highly preferred
Why Join Welo Data?
✨ Limitless Flexibility
Project-based opportunities that fit your availability. Choose when and how much you want to contribute—fully remote, with complete autonomy.
🌱 Limitless Growth
Optional access to AI and Large Language Model workshops designed specifically for professionals like you. No coding required—just your expertise.
🌍 Limitless Support
Be part of a global contributor community with responsive guidance and support.
💡 Real Impact
Apply your expertise in the Legal field to influence the AI systems shaping the future of your industry—while collaborating with data professionals and expanding your skills.
How to Apply?
Apply now by answering a few quick questions to join our database and become part of our growing community.
About Welo Data
Welo Data, part of Welocalize, is a global AI data company with 500,000+ contributors delivering high-quality, ethical data to train the world’s most advanced AI systems. We’re building smarter, more human AI with a diverse community in 100+ countries.
At Welo Data, Limitless AI. Limitless You. isn’t just a slogan—it’s our promise. We build smarter AI through the power of human contribution, offering limitless opportunities for our global community to grow, contribute, and work on their terms.
Location: Riga, Latvia
Workplace: remote
Help Shape the Future of AI
Are you passionate about language, technology, and data quality? Join our global community of AI specialists and contribute to the development of next-generation Generative AI systems used by millions of people worldwide.
We are looking for detail-oriented professionals with experience in annotation, content review, quality assurance, or data operations to support multilingual and multimodal AI projects.
Project Details
Job Title: Generative AI Analyst - Latvian
Location: Remote, Latvia
Commitment: 4 weeks
Employment Type: Freelance Contract
Pay Rate: $8.50/hour
What You’ll Do
Review, evaluate, and annotate AI-generated content across text, images, audio, and video
Perform quality checks to ensure accuracy, consistency, and compliance with project guidelines
Identify edge cases, inconsistencies, and opportunities for improvement
Contribute to the development of high-quality datasets used to train advanced AI models
Participate in calibration and quality alignment activities
Provide feedback to help improve workflows and annotation guidelines
Requirements:
Native-level proficiency in
Latvian
Strong written communication skills in English
Excellent attention to detail and analytical thinking
Experience in annotation, content review, quality assurance, data labeling, localization, or related fields
Ability to work independently and follow detailed guidelines
Experience working with multilingual, multimedia, or AI-related content is highly preferred
Why Join Welo Data?
✨ Limitless Flexibility
Project-based opportunities that fit your availability. Choose when and how much you want to contribute—fully remote, with complete autonomy.
🌱 Limitless Growth
Optional access to AI and Large Language Model workshops designed specifically for professionals like you. No coding required—just your expertise.
🌍 Limitless Support
Be part of a global contributor community with responsive guidance and support.
💡 Real Impact
Apply your expertise in the Legal field to influence the AI systems shaping the future of your industry—while collaborating with data professionals and expanding your skills.
How to Apply?
Apply now by answering a few quick questions to join our database and become part of our growing community.
About Welo Data
Welo Data, part of Welocalize, is a global AI data company with 500,000+ contributors delivering high-quality, ethical data to train the world’s most advanced AI systems. We’re building smarter, more human AI with a diverse community in 100+ countries.
At Welo Data, Limitless AI. Limitless You. isn’t just a slogan—it’s our promise. We build smarter AI through the power of human contribution, offering limitless opportunities for our global community to grow, contribute, and work on their terms.
Location: Sweden
Workplace: remote
Help Shape the Future of AI
Are you passionate about language, technology, and data quality? Join our global community of AI specialists and contribute to the development of next-generation Generative AI systems used by millions of people worldwide.
We are looking for detail-oriented professionals with experience in annotation, content review, quality assurance, or data operations to support multilingual and multimodal AI projects.
Project Details
Job Title: Generative AI Analyst - Swedish
Location: Remote, Sweden
Commitment: 4 weeks
Employment Type: Freelance Contract
Pay Rate: $25/hour
What You’ll Do
Review, evaluate, and annotate AI-generated content across text, images, audio, and video
Perform quality checks to ensure accuracy, consistency, and compliance with project guidelines
Identify edge cases, inconsistencies, and opportunities for improvement
Contribute to the development of high-quality datasets used to train advanced AI models
Participate in calibration and quality alignment activities
Provide feedback to help improve workflows and annotation guidelines
Requirements:
Native-level proficiency in
Swedish
Strong written communication skills in English
Excellent attention to detail and analytical thinking
Experience in annotation, content review, quality assurance, data labeling, localization, or related fields
Ability to work independently and follow detailed guidelines
Experience working with multilingual, multimedia, or AI-related content is highly preferred
Why Join Welo Data?
✨ Limitless Flexibility
Project-based opportunities that fit your availability. Choose when and how much you want to contribute—fully remote, with complete autonomy.
🌱 Limitless Growth
Optional access to AI and Large Language Model workshops designed specifically for professionals like you. No coding required—just your expertise.
🌍 Limitless Support
Be part of a global contributor community with responsive guidance and support.
💡 Real Impact
Apply your expertise in the Legal field to influence the AI systems shaping the future of your industry—while collaborating with data professionals and expanding your skills.
How to Apply?
Apply now by answering a few quick questions to join our database and become part of our growing community.
About Welo Data
Welo Data, part of Welocalize, is a global AI data company with 500,000+ contributors delivering high-quality, ethical data to train the world’s most advanced AI systems. We’re building smarter, more human AI with a diverse community in 100+ countries.
At Welo Data, Limitless AI. Limitless You. isn’t just a slogan—it’s our promise. We build smarter AI through the power of human contribution, offering limitless opportunities for our global community to grow, contribute, and work on their terms.
Location: Denmark
Workplace: remote
About the Role
Are you passionate about language, technology, and data quality? Join our global community of AI specialists and contribute to the development of next-generation Generative AI systems used by millions of people worldwide.
We are looking for detail-oriented professionals with experience in annotation, content review, quality assurance, or data operations to support multilingual and multimodal AI projects.
Project Details
Job Title: Generative AI Analyst - Danish (Denmark)
Location: Remote
Commitment: 4 weeks
Employment Type: Freelance Contract
Pay Rate: $23/hour
What You’ll Do
Review, evaluate, and annotate AI-generated content across text, images, audio, and video
Perform quality checks to ensure accuracy, consistency, and compliance with project guidelines
Identify edge cases, inconsistencies, and opportunities for improvement
Contribute to the development of high-quality datasets used to train advanced AI models
Participate in calibration and quality alignment activities
Provide feedback to help improve workflows and annotation guidelines
Requirements:
Native-level proficiency in
Danish (Denmark)
Strong written communication skills in English
Excellent attention to detail and analytical thinking
Experience in annotation, content review, quality assurance, data labeling, localization, or related fields
Ability to work independently and follow detailed guidelines
Experience working with multilingual, multimedia, or AI-related content is highly preferred
Why Join Welo Data?
✨ Limitless Flexibility
Project-based opportunities that fit your availability. Choose when and how much you want to contribute—fully remote, with complete autonomy.
🌱 Limitless Growth
Optional access to AI and Large Language Model workshops designed specifically for professionals like you. No coding required—just your expertise.
🌍 Limitless Support
Be part of a global contributor community with responsive guidance and support.
💡 Real Impact
Apply your expertise in the Legal field to influence the AI systems shaping the future of your industry—while collaborating with data professionals and expanding your skills.
How to Apply?
Apply now by answering a few quick questions to join our database and become part of our growing community.
About Welo Data
Welo Data, part of Welocalize, is a global AI data company with 500,000+ contributors delivering high-quality, ethical data to train the world’s most advanced AI systems. We’re building smarter, more human AI with a diverse community in 100+ countries.
At Welo Data, Limitless AI. Limitless You. isn’t just a slogan—it’s our promise. We build smarter AI through the power of human contribution, offering limitless opportunities for our global community to grow, contribute, and work on their terms.
Location: Finland
Workplace: remote
About the Role
Are you passionate about language, technology, and data quality? Join our global community of AI specialists and contribute to the development of next-generation Generative AI systems used by millions of people worldwide.
We are looking for detail-oriented professionals with experience in annotation, content review, quality assurance, or data operations to support multilingual and multimodal AI projects.
Project Details
Job Title: Generative AI Analyst - Finnish (Finland)
Location: Remote, Finland
Commitment: 4 weeks
Employment Type: Freelance Contract
Pay Rate: $18.50/hour
What You’ll Do
Review, evaluate, and annotate AI-generated content across text, images, audio, and video
Perform quality checks to ensure accuracy, consistency, and compliance with project guidelines
Identify edge cases, inconsistencies, and opportunities for improvement
Contribute to the development of high-quality datasets used to train advanced AI models
Participate in calibration and quality alignment activities
Provide feedback to help improve workflows and annotation guidelines
Requirements:
Native-level proficiency in
Finnish (Finland)
Strong written communication skills in English
Excellent attention to detail and analytical thinking
Experience in annotation, content review, quality assurance, data labeling, localization, or related fields
Ability to work independently and follow detailed guidelines
Experience working with multilingual, multimedia, or AI-related content is highly preferred
Why Join Welo Data?
✨ Limitless Flexibility
Project-based opportunities that fit your availability. Choose when and how much you want to contribute—fully remote, with complete autonomy.
🌱 Limitless Growth
Optional access to AI and Large Language Model workshops designed specifically for professionals like you. No coding required—just your expertise.
🌍 Limitless Support
Be part of a global contributor community with responsive guidance and support.
💡 Real Impact
Apply your expertise in the Legal field to influence the AI systems shaping the future of your industry—while collaborating with data professionals and expanding your skills.
How to Apply?
Apply now by answering a few quick questions to join our database and become part of our growing community.
About Welo Data
Welo Data, part of Welocalize, is a global AI data company with 500,000+ contributors delivering high-quality, ethical data to train the world’s most advanced AI systems. We’re building smarter, more human AI with a diverse community in 100+ countries.
At Welo Data, Limitless AI. Limitless You. isn’t just a slogan—it’s our promise. We build smarter AI through the power of human contribution, offering limitless opportunities for our global community to grow, contribute, and work on their terms.
Location: Greece
Workplace: remote
About the Role
Are you passionate about language, technology, and data quality? Join our global community of AI specialists and contribute to the development of next-generation Generative AI systems used by millions of people worldwide.
We are looking for detail-oriented professionals with experience in annotation, content review, quality assurance, or data operations to support multilingual and multimodal AI projects.
Project Details
Job Title: Generative AI Analyst - Greek (Greece)
Location: Remote, Greece
Commitment: 4 weeks
Employment Type: Freelance Contract
Pay Rate: $9.50/hour
What You’ll Do
Review, evaluate, and annotate AI-generated content across text, images, audio, and video
Perform quality checks to ensure accuracy, consistency, and compliance with project guidelines
Identify edge cases, inconsistencies, and opportunities for improvement
Contribute to the development of high-quality datasets used to train advanced AI models
Participate in calibration and quality alignment activities
Provide feedback to help improve workflows and annotation guidelines
Requirements:
Native-level proficiency in
Greek (Greece)
Strong written communication skills in English
Excellent attention to detail and analytical thinking
Experience in annotation, content review, quality assurance, data labeling, localization, or related fields
Ability to work independently and follow detailed guidelines
Experience working with multilingual, multimedia, or AI-related content is highly preferred
Why Join Welo Data?
✨ Limitless Flexibility
Project-based opportunities that fit your availability. Choose when and how much you want to contribute—fully remote, with complete autonomy.
🌱 Limitless Growth
Optional access to AI and Large Language Model workshops designed specifically for professionals like you. No coding required—just your expertise.
🌍 Limitless Support
Be part of a global contributor community with responsive guidance and support.
💡 Real Impact
Apply your expertise in the Legal field to influence the AI systems shaping the future of your industry—while collaborating with data professionals and expanding your skills.
How to Apply?
Apply now by answering a few quick questions to join our database and become part of our growing community.
About Welo Data
Welo Data, part of Welocalize, is a global AI data company with 500,000+ contributors delivering high-quality, ethical data to train the world’s most advanced AI systems. We’re building smarter, more human AI with a diverse community in 100+ countries.
At Welo Data, Limitless AI. Limitless You. isn’t just a slogan—it’s our promise. We build smarter AI through the power of human contribution, offering limitless opportunities for our global community to grow, contribute, and work on their terms.
Location: Hungary
Workplace: remote
About the Role
Are you passionate about language, technology, and data quality? Join our global community of AI specialists and contribute to the development of next-generation Generative AI systems used by millions of people worldwide.
We are looking for detail-oriented professionals with experience in annotation, content review, quality assurance, or data operations to support multilingual and multimodal AI projects.
Project Details
Job Title: Generative AI Analyst- Hungarian (Hungary)
Location: Remote, Hungary
Commitment: 4 weeks
Employment Type: Freelance Contract
Pay Rate: $9/hour
What You’ll Do
Review, evaluate, and annotate AI-generated content across text, images, audio, and video
Perform quality checks to ensure accuracy, consistency, and compliance with project guidelines
Identify edge cases, inconsistencies, and opportunities for improvement
Contribute to the development of high-quality datasets used to train advanced AI models
Participate in calibration and quality alignment activities
Provide feedback to help improve workflows and annotation guidelines
Requirements:
Native-level proficiency in
Hungarian (Hungary)
Strong written communication skills in English
Excellent attention to detail and analytical thinking
Experience in annotation, content review, quality assurance, data labeling, localization, or related fields
Ability to work independently and follow detailed guidelines
Experience working with multilingual, multimedia, or AI-related content is highly preferred
Why Join Welo Data?
✨ Limitless Flexibility
Project-based opportunities that fit your availability. Choose when and how much you want to contribute—fully remote, with complete autonomy.
🌱 Limitless Growth
Optional access to AI and Large Language Model workshops designed specifically for professionals like you. No coding required—just your expertise.
🌍 Limitless Support
Be part of a global contributor community with responsive guidance and support.
💡 Real Impact
Apply your expertise in the Legal field to influence the AI systems shaping the future of your industry—while collaborating with data professionals and expanding your skills.
How to Apply?
Apply now by answering a few quick questions to join our database and become part of our growing community.
About Welo Data
Welo Data, part of Welocalize, is a global AI data company with 500,000+ contributors delivering high-quality, ethical data to train the world’s most advanced AI systems. We’re building smarter, more human AI with a diverse community in 100+ countries.
At Welo Data, Limitless AI. Limitless You. isn’t just a slogan—it’s our promise. We build smarter AI through the power of human contribution, offering limitless opportunities for our global community to grow, contribute, and work on their terms.
Location: Netherlands
Workplace: remote
About the Role
Are you passionate about language, technology, and data quality? Join our global community of AI specialists and contribute to the development of next-generation Generative AI systems used by millions of people worldwide.
We are looking for detail-oriented professionals with experience in annotation, content review, quality assurance, or data operations to support multilingual and multimodal AI projects.
Project Details
Job Title: Generative AI Analyst - Dutch (Netherlands)
Location: Remote, Netherlands
Commitment: 4 weeks
Employment Type: Freelance Contract
Pay Rate: $28/hour
What You’ll Do
Review, evaluate, and annotate AI-generated content across text, images, audio, and video
Perform quality checks to ensure accuracy, consistency, and compliance with project guidelines
Identify edge cases, inconsistencies, and opportunities for improvement
Contribute to the development of high-quality datasets used to train advanced AI models
Participate in calibration and quality alignment activities
Provide feedback to help improve workflows and annotation guidelines
Requirements:
Native-level proficiency in
Dutch (Netherlands)
Strong written communication skills in English
Excellent attention to detail and analytical thinking
Experience in annotation, content review, quality assurance, data labeling, localization, or related fields
Ability to work independently and follow detailed guidelines
Experience working with multilingual, multimedia, or AI-related content is highly preferred
Why Join Welo Data?
✨ Limitless Flexibility
Project-based opportunities that fit your availability. Choose when and how much you want to contribute—fully remote, with complete autonomy.
🌱 Limitless Growth
Optional access to AI and Large Language Model workshops designed specifically for professionals like you. No coding required—just your expertise.
🌍 Limitless Support
Be part of a global contributor community with responsive guidance and support.
💡 Real Impact
Apply your expertise in the Legal field to influence the AI systems shaping the future of your industry—while collaborating with data professionals and expanding your skills.
How to Apply?
Apply now by answering a few quick questions to join our database and become part of our growing community.
About Welo Data
Welo Data, part of Welocalize, is a global AI data company with 500,000+ contributors delivering high-quality, ethical data to train the world’s most advanced AI systems. We’re building smarter, more human AI with a diverse community in 100+ countries.
At Welo Data, Limitless AI. Limitless You. isn’t just a slogan—it’s our promise. We build smarter AI through the power of human contribution, offering limitless opportunities for our global community to grow, contribute, and work on their terms.
Location: Czech Republic
Workplace: remote
About the Role
Are you passionate about language, technology, and data quality? Join our global community of AI specialists and contribute to the development of next-generation Generative AI systems used by millions of people worldwide.
We are looking for detail-oriented professionals with experience in annotation, content review, quality assurance, or data operations to support multilingual and multimodal AI projects.
Project Details
Job Title: Generative AI Analyst - Czech (Czech Republic)
Location: Remote, Czech Republic
Commitment: 4 weeks
Employment Type: Freelance Contract
Pay Rate: $13/hour
What You’ll Do
Review, evaluate, and annotate AI-generated content across text, images, audio, and video
Perform quality checks to ensure accuracy, consistency, and compliance with project guidelines
Identify edge cases, inconsistencies, and opportunities for improvement
Contribute to the development of high-quality datasets used to train advanced AI models
Participate in calibration and quality alignment activities
Provide feedback to help improve workflows and annotation guidelines
Requirements:
Native-level proficiency in
Czech (Czech Republic)
Strong written communication skills in English
Excellent attention to detail and analytical thinking
Experience in annotation, content review, quality assurance, data labeling, localization, or related fields
Ability to work independently and follow detailed guidelines
Experience working with multilingual, multimedia, or AI-related content is highly preferred
Why Join Welo Data?
✨ Limitless Flexibility
Project-based opportunities that fit your availability. Choose when and how much you want to contribute—fully remote, with complete autonomy.
🌱 Limitless Growth
Optional access to AI and Large Language Model workshops designed specifically for professionals like you. No coding required—just your expertise.
🌍 Limitless Support
Be part of a global contributor community with responsive guidance and support.
💡 Real Impact
Apply your expertise in the Legal field to influence the AI systems shaping the future of your industry—while collaborating with data professionals and expanding your skills.
How to Apply?
Apply now by answering a few quick questions to join our database and become part of our growing community.
About Welo Data
Welo Data, part of Welocalize, is a global AI data company with 500,000+ contributors delivering high-quality, ethical data to train the world’s most advanced AI systems. We’re building smarter, more human AI with a diverse community in 100+ countries.
At Welo Data, Limitless AI. Limitless You. isn’t just a slogan—it’s our promise. We build smarter AI through the power of human contribution, offering limitless opportunities for our global community to grow, contribute, and work on their terms.
Location: Kazakhstan
Workplace: remote
Overview
Are you passionate about language, technology, and data quality? Join our global community of AI specialists and contribute to the development of next-generation Generative AI systems used by millions of people worldwide.
We are looking for detail-oriented professionals with experience in annotation, content review, quality assurance, or data operations to support multilingual and multimodal AI projects.
Project Details
Job Title: Generative AI Analyst - Russian (Kazakhstan)
Location: Remote, Kazakhstan
Commitment: 2 weeks
Employment Type: Freelance Contract
Pay Rate: $5/hour
What You’ll Do
Review, evaluate, and annotate AI-generated content across text, images, audio, and video
Perform quality checks to ensure accuracy, consistency, and compliance with project guidelines
Identify edge cases, inconsistencies, and opportunities for improvement
Contribute to the development of high-quality datasets used to train advanced AI models
Participate in calibration and quality alignment activities
Provide feedback to help improve workflows and annotation guidelines
Requirements:
Native-level proficiency in
Russian (Kazakhstan)
Strong written communication skills in English
Excellent attention to detail and analytical thinking
Experience in annotation, content review, quality assurance, data labeling, localization, or related fields
Ability to work independently and follow detailed guidelines
Experience working with multilingual, multimedia, or AI-related content is highly preferred
Why Join Welo Data?
✨ Limitless Flexibility
Project-based opportunities that fit your availability. Choose when and how much you want to contribute—fully remote, with complete autonomy.
🌱 Limitless Growth
Optional access to AI and Large Language Model workshops designed specifically for professionals like you. No coding required—just your expertise.
🌍 Limitless Support
Be part of a global contributor community with responsive guidance and support.
💡 Real Impact
Apply your expertise in the Legal field to influence the AI systems shaping the future of your industry—while collaborating with data professionals and expanding your skills.
How to Apply?
Apply now by answering a few quick questions to join our database and become part of our growing community.
About Welo Data
Welo Data, part of Welocalize, is a global AI data company with 500,000+ contributors delivering high-quality, ethical data to train the world’s most advanced AI systems. We’re building smarter, more human AI with a diverse community in 100+ countries.
At Welo Data, Limitless AI. Limitless You. isn’t just a slogan—it’s our promise. We build smarter AI through the power of human contribution, offering limitless opportunities for our global community to grow, contribute, and work on their terms.
Location: Remote
Workplace: Remote
We are building AI to simulate the world through merging art and science.
We believe that world models are at the frontier of progress in artificial intelligence. Language models alone won’t solve the world’s hardest problems – robotics, disease, scientific discovery. Real progress requires models that experience the world and learn from their mistakes, the same way that humans do. And this kind of trial and error can be massively accelerated when done in simulation, rather than in the real world.
World models offer the most clear path to general-purpose simulation, changing how stories are told, how scientific progress is made and how the next frontiers of humanity are reached.
Our team consists of creative, open minded, caring and ambitious people who are determined to change the world. We aspire to continuously build impossible things and our ability to do so relies on building an incredible team. If you are driven to do the same, we'd love to hear from you.
ABOUT THE ROLE
*Open to hiring remote across North America (west coast only) and the UK — we also have offices in San Francisco, Seattle, and London.
Japan has been one of Runway’s fastest-growing markets, even without a major commercial presence – it's our third-largest market among both enterprise and self-serve customers, and the fastest-growing self-serve market in Asia. In addition to millions of individual users, we've seen 300% growth in enterprise customers in the past 12 months, and Japan has driven a third of our sales volume in Asia overall.
As a result, we are looking for a Creative Workflow Architect to join our fast growing creative team. You’ll work closely with our Sales and Account Management teams to convey the value of Runway to Enterprise prospects and customers, specifically in the Japan market. As a user of Runway yourself and a content creator, you will handle pre and post-sale work, ensuring that customers are using Runway to it’s full potential, as well as any creative work in the product, inclusive of media content, presets, featured workflows, etc. You’ll also have a hand in any marketing sprints for model and feature releases. This role requires full professional bilingual fluency in Japanese and English.
Things are always moving quickly at Runway. We need team members with an agile and dynamic mentality who are comfortable with change and always willing to go above and beyond to ensure a job is done optimally.
WHAT YOU’LL DO
- Creatively push the models available on Runway further using workflows and custom pipelines
- Craft content and lead demonstrations to show Enterprise prospects and customers how to leverage and utilize Runway most strategically
- Partner with our Sales and Creative teams to provide guidance and training to Enterprise prospects and customers.
- Highlight and explain common use cases and workflows for Enterprise organizations
- Serve as the day-to-day product expert for both pre and post sales conversations; help businesses understand the potential of utilizing Runway in their creative pipeline
- Be a champion for our customers and work with our internal teams to translate customer feedback into product insights; liaise between customers and our internal teams in order to provide the best support and experience possible
WHAT YOU’LL NEED
- Full professional bilingual fluency in Japanese and English
- Experience & expertise creating content from end to end
- Experience working with Japanese enterprises a plus
- Passion for experimentation when it comes to content creation and creative workflows- you care more about “how we get there” than “the destination”
- Comfort working with creative tools in addition to Runway (Adobe, DaVinci Resolve etc), as well as an understanding of our technical and competitive landscape
- You love sharing and presenting the things you’ve built
- Ability to deliver complex information to customers in a clear and concise way
- Ability to thrive in a constantly changing and growing environment
- Excitement about AI and motivation to continuously learn more about this new and exciting space!
Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package we provide.
There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range.
Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates.
WORKING AT RUNWAY
Great things come from great teams. https://www.youtube.com/watch?v=kwmj4ato2kw&ab_channel=Runway We’d love to hear from you.
We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. So regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply.
More about Runway
- Universal World Simulator https://runwayml.com/world-simulator.html
- GWM-1 https://runwayml.com/research/introducing-runway-gwm-1
- Gen-4.5 https://runwayml.com/research/introducing-runway-gen-4.5
- General World Models https://runwayml.com/research/introducing-general-world-models
- Robotics SDK https://runwayml.com/research/introducing-runway-gwm-1#robotics-section
- Conversational Real-time Agents https://runwayml.com/research/introducing-runway-gwm-1#avatars-section
- Runway Studios https://runwayml.com/studios
We're excited to be recognized as a best place to work:
Crain's https://www.crainsnewyork.com/awards/best-places-work-2023 | InHerSight https://www.inhersight.com/companies/best/city/new-york-city-ny | BuiltIn NYC https://builtin.com/awards/new-york-city/2024/best-places-to-work | INC https://www.inc.com/best-workplaces/2024
Location: Remote - EMEA
Workplace: Remote
ABOUT US
Constructor is the next-generation platform for search and discovery in ecommerce, built to explicitly optimize for metrics like revenue, conversion rate, and profit. Our search engine is entirely invented in-house utilizing transformers and generative LLMs, and we use its core and personalization capabilities to power everything from search itself to recommendations to shopping agents. Engineering is by far our largest department, and we’ve built our proprietary engine to be the best on the market, having never lost an A/B test to a competitive technology. We’re passionate about maintaining this and work on the bleeding edge of AI to do so.
Out of necessity, our engine is built for extreme scale and powers over 1 billion queries every day across 150 languages and roughly 100 countries. It is used by some of the biggest ecommerce companies in the world like Sephora, Under Armour, and Petco.
We’re a passionate team who love solving problems and want to make our customers’ and coworkers’ lives better. We value empathy, openness, curiosity, continuous improvement, and are excited by metrics that matter. We believe that empowering everyone in a company to do what they do best can lead to great things.
Constructor is a U.S. based company that has been in the market since 2019. It was founded by Eli Finkelshteyn and Dan McCormick who still lead the company today.
ABOUT YOU
You're a product designer who owns problems, not screens. You're comfortable with ambiguity, can partner with PMs to shape direction, and know how to translate research insights into production-ready interfaces, working closely with engineers. You ship work that matters.
THE TEAM
Our AI Agent Tools team is building a new category of e-commerce experience: intelligent agents that guide shoppers, learn from merchandiser expertise, and drive real business outcomes. This is one of the most consequential design problems in retail right now, and it's wide open.
REQUIREMENTS
The Role
You'll be designing the future of product discovery: the moment a shopper goes from intent to purchase, reimagined through AI.
- You'll define what agentic shopping looks like — Not just chatbots bolted onto search, but genuinely new interaction patterns where AI understands what a shopper wants and helps them get there. There's no established playbook here. The patterns you set will shape how the rest of the industry approaches it.
- You'll shape how merchandisers control it — You will collaborate with Agent Orchestrators—professionals blending data analysis, design, and shopper psychology—to design the dashboard tools that allow them to configure, train, and optimize new shopping journeys without engineering support.
- You'll prove it works in the real world — From running UI experiments on live retailer sites to validating new shopping experiences with actual shopper data, your designs ship and get measured.
What You'll Own
- Research & validation — Conducting shopper research and running experiments alongside product and data teams to validate hypotheses with real input.
- Interaction design for agentic experiences — Mapping novel user flows where AI/LLMs drive the shopping journey, for both shoppers and the merchandisers who orchestrate them.
- Visual strategy — Defining a bold design direction that represents what product discovery looks like in 2027.
- High-fidelity delivery — Producing final mockups and assets across key surfaces: homepage, search, PDP, filtering, guided shopping, and agent configuration.
- UX patterns — Ensuring designs scale within Constructor's evolving design system and component library.
What We Value Beyond Craft
Beyond being a thoughtful designer, user advocate, and strong collaborator, here are a few things we really value:
- A goal-oriented, iterative mindset — You focus on solving high-impact problems and are comfortable learning, improving, and shipping quickly.
- Practical experience with research — You’ve led user interviews, usability tests, and data analysis.
- Experience designing for unfamiliar problems — You’ve worked on products where you had to understand complex workflows outside your own experience—especially in B2B contexts.
- Systems thinking — You spot patterns, define systems, and design scalable, reusable solutions.
BENEFITS
- 🧠 Work with smart and empathetic people who will help you grow and make a meaningful impact.
- 🎉 Regular team offsite events to connect and collaborate.
- 🌎 Fully remote team - choose where you live.
- 🏝️ Unlimited vacation time - we strongly encourage all of our employees take at least 3 weeks per year.
- 🛋️ Work from home stipend! We want you to have the resources you need to set up your home office.
- 💻 Apple laptops provided for new employees.
- 🧑🎓 Training and development budget for every employee, refreshed each year.
- 👪 Maternity & Paternity leave for qualified employees.
- 📈 Stock options - offered in addition to the base salary
Diversity, Equity, and Inclusion at Constructor
At Constructor.io http://Constructor.io we are committed to cultivating a work environment that is diverse, equitable, and inclusive. As an equal opportunity employer, we welcome individuals of all backgrounds and provide equal opportunities to all applicants regardless of their education, diversity of opinion, race, color, religion, gender, gender expression, sexual orientation, national origin, genetics, disability, age, veteran status or affiliation in any other protected group.
Studies have shown that women and people of color may be less likely to apply for jobs unless they meet every one of the qualifications listed. Our primary interest is in finding the best candidate for the job. We encourage you to apply even if you don’t meet all of our listed qualifications.
How we handle your data. By submitting this application, you acknowledge that Constructor will collect and process the personal data you provide for the purpose of evaluating your candidacy for this role. If you are not selected, we will retain your data for a limited period as described in our Recruitment Privacy Notice https://constructor.com/recruitment-privacy-notice. After that period your data will be deleted or anonymized.
Location: California; Sunnyvale, CA; San Francisco, CA; Seattle, WA; Redmond, Washington; Burlingame, CA; New York City Metropolitan Area; Washington, D.C.; Los Angeles, CA; Boston, MA
Workplace: onsite
Overview
Welo Data is looking for detail-oriented and reliable individuals to join our team as Data Labeling Analysts, supporting speech and voice AI systems.
This is a high-impact production role focused on building the datasets that power real-world AI systems. You’ll be working with audio, speech, and language data — helping ensure models are trained on accurate, well-structured, and representative inputs.
While this role is more execution-focused than evaluation-heavy roles, it still requires strong judgment, attention to detail, and consistency. The work sits at the intersection of language, data, and AI systems — where precision and discipline matter at scale.
We’re looking for people who are dependable, focused, and take pride in producing high-quality work, even across repetitive workflows.
Project Details
Job Title: Data Labeling Analyst
Hiring in: Onsite (Bay Area, Seattle, NYC, or client-dependent)
Hours: Full-time, 40 hours per week
Employment Type: W2 Full-Time Employee
Work Authorization: Must be authorized to work in the U.S. (no visa sponsorship)
Pay Rate: $28/hour
Important: This is a 100% onsite position — remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Los Angeles, Washington DC, Boston. Please only apply if you meet this location requirement.
What You’ll Do
Execute high-volume data labeling and annotation tasks across speech and voice datasets
Follow detailed guidelines to ensure consistency, accuracy, and data integrity at scale
Work with audio and language data, including transcription, categorization, and tagging
Maintain strong throughput while meeting quality expectations
Escalate unclear or ambiguous cases appropriately
Adapt to evolving guidelines and workflows as systems and requirements change
Support baseline data production needs for AI training pipelines
Contribute to team calibrations and quality alignment sessions
What We’re Looking For
Native-level fluency in Turkish
Strong written communication skills and language fundamentals
1 year of work experience
in data labeling, annotation, or content-focused work;
or a Bachelor's degree or equivalent
academic qualification in a related field.
Ability to follow detailed instructions and apply guidelines consistently
High attention to detail and ability to maintain accuracy in repetitive tasks
Comfort working in structured, process-driven environments
Ability to manage time effectively and maintain steady output
Willingness to ask questions and escalate when needed
Basic familiarity with AI, speech technology, or language data is a plus
Benefits
Paid Vacation: 6 days
Paid Company Holidays: 2 days (Memorial Day and Labor Day)
Paid Sick Leave: accrued per applicable state law and company policy
Medical, Dental, and Vision Insurance (eligibility applies)
Health Savings Account (HSA)
401(k) Retirement Plan
Employee Assistance Program
Additional voluntary benefits (life, accident, critical illness, etc.)
Onsite Perks (where applicable):
Free breakfast, lunch, and dinner
Stocked micro-kitchens with snacks and beverages
Commuter benefits, including shuttles and bike-to-work options
Unique campus features depending on location
Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment.
To know more details (Click here)
In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire. In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program.
As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.
Why This Role
This role is a critical part of how modern AI systems are built. The data you produce directly impacts how speech and voice models understand and interact with real users.
It’s a great entry point into AI operations, offering exposure to large-scale systems and the opportunity to build foundational experience in data, language, and AI workflows.
Location: Office Based - Taipei, Taiwan
Canonical is a growing international software company that works with the open-source community to deliver Ubuntu, “the world’s best free software platform”. The Commercial Engineering Quality Assurance (QA) team works with all the engineering teams in Canonical, OEM and ODM customers, to bring Ubuntu directly to millions of users by delivering certified Ubuntu laptop, desktop, IoT and other computing devices.
As a Software QA engineer, you will join the team responsible for our strategy for quality coordination and testing. You will be a quality expert with extensive experience establishing quality processes from the ground up. You will understand the tools and techniques used to introduce new products, and will work with teams across the company to drive quality improvements through the entire development cycle.
As a Software Quality Assurance Engineer you will:
Plan, create and manage the overall Quality Planning strategy and document
Improve our automated test capability with design and code contributions
Perform automated and manual testing of Ubuntu Desktop, Server and Core on varies latest hardware.
Suggest solutions to identified product problems
Collaborate with the Project team to ensure consistent project execution
Identify quality assurance process bottleneck and suggest improvements
Oversee continuous improvement projects
Collect quality data
Establish proactive measures to improve the quality and reliability of the Ubuntu platform
Prepare time estimates and schedule for testing activities
Identify, isolate, and document bugs clearly and concisely in the bugs database
Work with development teams across multiple projects to build efficient, effective automated testing
Communicate effectively with colleagues in a variety of time zones around the world
Triage test reports and customer bugs
The successful Software Quality Assurance Engineer will have :
Experience with the Linux desktop, and related technologies. Ubuntu experience would be a plus
Solid grasp of commercial Software QA practices and ideas on how to integrate them into Linux Community standards
Experience with common scripting languages, including Shell script, Python or JavaScript
Comfortable with online communication and collaboration such as mailing lists, Mattermost, wiki
Excellent logic, problem solving, and troubleshooting skills
Strong written and spoken communication skills in English
Ability to be productive in a globally distributed team
Ability to pick up new technologies and achieve high effectiveness quickly
What Canonical Offers:
Learning and development
Annual compensation review
Recognition rewards
Annual leave
Priority Pass for travel
Annual health check
Canonical believes a diverse workforce enhances our ability to deliver world class software and services which meet the world’s computing needs. We are committed to ensuring equal employment opportunities to all qualified individuals. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
Location: New York, NY
Workplace: OnSite
We are building AI to simulate the world through merging art and science.
We believe that world models are at the frontier of progress in artificial intelligence. Language models alone won’t solve the world’s hardest problems – robotics, disease, scientific discovery. Real progress requires models that experience the world and learn from their mistakes, the same way that humans do. And this kind of trial and error can be massively accelerated when done in simulation, rather than in the real world.
World models offer the most clear path to general-purpose simulation, changing how stories are told, how scientific progress is made and how the next frontiers of humanity are reached.
Our team consists of creative, open minded, caring and ambitious people who are determined to change the world. We aspire to continuously build impossible things and our ability to do so relies on building an incredible team. If you are driven to do the same, we'd love to hear from you.
ABOUT THE ROLE
*Open to candidates based near our NYC office or those willing to relocate.
Building general world models — systems that understand and simulate reality across tasks, modalities, and domains — requires closing the loop between learned representations and real-world action. We're looking for a Robotics Engineer to bring our video-native foundation models onto real hardware: deploying world-model-based policies on real robots and making them work in the real world.
You will work across the full stack of robot learning — from data collection and task design, to policy deployment, to physical evaluation. This is a hands-on, execution-oriented role at the intersection of foundation models, learned robot policies, and hardware. You'll bring deep robotics domain expertise and help us ship world-model-based robot policies end-to-end, with applications ranging from manipulation to mobile robotics.
WHAT YOU’LL DO
- Own the deployment loop for learned policies (VLAs, diffusion policies, World Action Models) on real robot arms: inference serving, action decoding, controller integration, latency budgets, and safety limits
- Diagnose real-world policy failures — determining whether the problem is data coverage, camera/proprioception mismatch, or execution — and partner with the research team to fix it at the right layer
- Design demonstration data collection protocols (task setup, camera placement, teleop conventions) that produce data our world models can actually learn from — working with our existing teleop and lab infrastructure
- Partner with research to run controlled experiments connecting world model representations, data composition, and fine-tuning recipes to physical success rates
- Define and run physical evaluation protocols so results are trustworthy and comparable across policy iterations
- Adapt our policy recipe to partner hardware and new embodiments
WHAT YOU’LL NEED
- You have personally deployed software on real robot hardware and iterated to make it work — whether learned policies, motion planning, classical control, or perception-driven manipulation. You can walk through a specific system you shipped, what broke on the physical robot that didn't break in sim or testing, and how you fixed it.
- Fluency in the software-to-robot interface: action/command spaces, control frequencies, observation pipelines, calibration, and how each affects real-world behavior
- Comfort working at the intersection of software and physical systems: you can reconfigure a robot workspace and trace a policy failure in the same afternoon
- Bonus: direct experience deploying learned policies (VLAs, diffusion policies) on real hardware; experience with video/multimodal generative models or world models
Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package we provide.
There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range.
Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates.
WORKING AT RUNWAY
Great things come from great teams. https://www.youtube.com/watch?v=kwmj4ato2kw&ab_channel=Runway We’d love to hear from you.
We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. So regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply.
More about Runway
- Universal World Simulator https://runwayml.com/world-simulator.html
- GWM-1 https://runwayml.com/research/introducing-runway-gwm-1
- Gen-4.5 https://runwayml.com/research/introducing-runway-gen-4.5
- General World Models https://runwayml.com/research/introducing-general-world-models
- Robotics SDK https://runwayml.com/research/introducing-runway-gwm-1#robotics-section
- Conversational Real-time Agents https://runwayml.com/research/introducing-runway-gwm-1#avatars-section
- Runway Studios https://runwayml.com/studios
We're excited to be recognized as a best place to work:
Crain's https://www.crainsnewyork.com/awards/best-places-work-2023 | InHerSight https://www.inhersight.com/companies/best/city/new-york-city-ny | BuiltIn NYC https://builtin.com/awards/new-york-city/2024/best-places-to-work | INC https://www.inc.com/best-workplaces/2024
Location: Washington DC
Workplace: Remote
ABOUT US
At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
ABOUT THE ROLE
As our first Federal Partner Alliances Lead for the US, you will own the systems integrator and consulting partner ecosystem across the US Federal market. This is a high-leverage, senior individual contributor role where you will build and drive our federal partner strategy from the ground up — focused primarily on establishing deep, revenue-generating relationships with the major Federal Systems Integrators (FSIs) and a curated set of specialized boutique partners.
You are an operator at heart who loves the ambiguity of a fast-growing startup. You understand how developer tools and enterprise AI stacks fit together within the unique compliance and regulatory requirements of the federal space, and you have a track record of driving sourced and influenced revenue through partner channels without needing a heavy management playbook to guide you. This role sits within our GTM organization and will work closely with our field sellers, customer engineering teams, and product leaders to embed LangChain into the delivery practices and solution portfolios of the partners who win and execute the biggest federal AI programs.
WHAT YOU'LL DO
- Own FSI Relationships: Build and lead LangChain's strategic partnerships with the major federal primes — including Leidos, Booz Allen Hamilton, Northrop Grumman, SAIC, Accenture Federal, and similar large-scale integrators. Drive structured engagement across their AI/ML practices, solution architects, and business development teams to embed LangChain into active and upcoming program pursuits.
- Develop Boutique and Specialized Partners: Identify and activate a curated set of smaller, mission-focused federal consultancies and AI-native partners that are embedded in specific agency relationships or cleared environments where the primes don't reach.
- Build Joint Go-to-Market Motions: Work with FSI partners to co-develop solution offerings, reference architectures, and proposal language that positions LangChain as the preferred agentic AI framework for federal program delivery.
- Drive Pipeline Through Partners: Own the partner-sourced and partner-influenced pipeline, working hand-in-hand with LangChain's field sales team to ensure FSI relationships translate into real opportunities and closed revenue.
- Support Hyperscaler Relationships Selectively: Maintain a lightweight working relationship with AWS GovCloud, Azure Government, and GCP Public Sector teams, primarily to support event sponsorships, joint visibility opportunities, and marketplace presence — without making this a primary focus of the role.
- Execute Co-Marketing Motions: Partner with marketing to show up effectively at key federal industry events (AFCEA, AWS Summit DC, industry days) and develop technical content and co-branded materials that reinforce LangChain's credibility with FSI and agency audiences.
- Build the Playbook: Create the operational blueprint for how LangChain scales federal partnerships — from initial relationship mapping and partner tiering to joint pipeline tracking and executive engagement cadences.
WHAT YOU'LL BRING
- Experience: 6+ years of experience in federal partner management, business development, or alliance roles, with a strong track record of building and monetizing relationships with major FSIs and federal primes. Direct experience working within or alongside Leidos, Booz Allen Hamilton, Northrop Grumman, SAIC, or similar organizations is a significant plus.
- FSI Network: A genuine, pre-existing network within the business development, AI/ML practice, and solutions architecture communities at the major federal primes. You should be able to get meetings quickly and have credibility with the people who shape program pursuit decisions.
- Technical Foundation: Enough technical fluency to speak credibly with enterprise architects and engineering leads in federal environments. You don't need to write code, but you must understand how LLMs, agentic frameworks, and developer tooling operate within federal infrastructure, including FedRAMP, IL4/IL5, and zero-trust requirements.
- Startup Agility: Proven ability to navigate a high-growth environment with limited structure. You are comfortable building the playbook as you run it, executing independently with minimal supervision in the often long-cycle federal sales environment.
- Operational Rigor: Strong pipeline management skills. You track partner activity with clean CRM hygiene, maintain accurate opportunity attribution, and communicate clearly and consistently to internal stakeholders.
- Strong Communication & Influence: Equally comfortable writing sharp internal strategy docs as you are presenting to senior BD and practice leaders at major federal integrators.
NICE TO HAVE'S
- Active security clearance (Secret or higher) or existing clearance eligibility.
- Prior experience at an open-source, developer tools, or infrastructure software company bringing a new technology into the federal FSI ecosystem.
- Familiarity with federal procurement vehicles (GSA Schedule, OTAs, BPAs) and how primes use them to structure program delivery.
- Familiarity with the modern LLM orchestration stack, federal data environments, and compliance frameworks (FedRAMP, NIST, CMMC).
Annual Salary Range: $190,000 to 270,000 + Equity
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks.
We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
BENEFITS
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
Location: Toronto; Europe; London; New York
Workplace: Remote
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 Senior Member of Technical Staff specializing in web data for pre-training, you will play a pivotal role in developing the large scale web data pipeline that underpins Cohere’s advanced language models. In this role, you will work extensively with large-scale web corpora, transforming raw, noisy internet data into high-quality training data for pretraining. You will own key components of the data pipeline, including extraction, parsing, deduplication, and filtering. You will also analyze the composition and quality of web data, study its impact on downstream model performance, and collaborate closely with the broader data and evaluation teams to iterate on the training corpus.
Your work will be essential to Cohere’s mission of delivering efficient and reliable language understanding and generation capabilities, driving innovation in natural language processing. If you are passionate about transforming data into the foundation of AI systems, this role offers a unique opportunity to make a meaningful impact.
Please Note: We have offices in London, Paris, Toronto, San Francisco and New York but also embrace being remote-friendly! There are no restrictions on where you can be located for this role. (EST/EU)
Key Responsibilities:
- Maintain large-scale pipelines for processing web corpora.
- Work on filtering and quality-scoring systems to identify high-value web documents.
- Analyze web data composition across domains, languages and time periods.
- Develop and maintain highly-performant deduplication pipelines.
- Collaborate with cross-functional teams, including researchers and engineers, to ensure data pipelines meet the demands of cutting-edge language models.
Qualifications:
- Strong software engineering skills, with proficiency in Python and experience building data pipelines.
- Familiarity with data processing frameworks such as Apache Spark, Apache Beam, Pandas, or similar tools.
- Experience working with large-scale web datasets.
- Knowledge of data quality assessment techniques and experimentation with data mixtures.
- A passion for bridging research and engineering to solve complex data-related challenges in AI model training.
Bonus: paper at top-tier venues (such as NeurIPS, ICML, ICLR, AIStats, MLSys, JMLR, AAAI, Nature, COLING, ACL, EMNLP).
If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply!
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.
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 https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, 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 https://cohere.com/careers page.
Location: Remote, Global
Workplace: Remote
ABOUT SUPABASE
Supabase is the open-source Postgres development platform that 10M+ developers and thousands of enterprises depend on every day. Database, Auth, Storage, Edge Functions, Realtime and Vector Search all run on one platform: the same compute https://supabase.com/docs/guides/platform/compute-add-ons, the same disks https://supabase.com/docs/guides/platform/database-size, the same network and control plane, in every region we operate.
Supabase's hardest problems live in that platform. Millions of databases, growth that compounds every quarter, and a customer base running from a developer on a free project to a regulated enterprise routing traffic through PrivateLink https://supabase.com/docs/guides/platform/privatelink. Reliability, capacity, cost and the enterprise features that close deals all come back to the same primitives. We're hiring a Product Lead to own them.
ABOUT THE ROLE
You own the platform primitives every Supabase product runs on: compute, disks, networking, the API gateway, capacity and regions. You own the enterprise surfaces built on top of them too, including read replicas https://supabase.com/docs/guides/platform/read-replicas, custom domains https://supabase.com/docs/guides/platform/custom-domains, PrivateLink and Bring Your Own Cloud. You report to the Head of Product and set direction for the whole area alongside the leads for our other product lines. You're the only product person on the platform today, and the team grows under you as the area does.
WHAT YOU'LL BE RESPONSIBLE FOR:
- You talk to customers across the full spectrum. Developers running a single small project, growing startups whose bill is mostly compute and disk, enterprises walking through a network architecture review, and partners building on top of Supabase.
- You own the problem statement and requirements behind every platform bet. You define what we're building and why before engineering starts, name the cost, capacity and reliability constraints, and keep that clarity current through execution.
- You decide what gets built, what gets deferred, and what gets cut. Every quarter you're choosing between enterprise unlocks that open new markets, cost and performance wins for the long tail of projects, and net-new capabilities that change what Supabase can run. The priorities are yours, and so is defending them.
- You own reliability as a product surface. You set service levels that track what customers experience, hold teams to them, and show customers what it takes to run millions of databases.
- You define how each launch is measured before it ships. The metric, the threshold and the read afterwards are yours: whether a launch moved enterprise deal velocity, project economics, or platform reliability.
- You keep engineering, design and leadership aligned. The platform touches every other Supabase product, every region and every customer tier. You write down what's coming, why, and in what order, and you surface dependencies before they become blockers.
YOU MIGHT BE A GOOD FIT IF YOU:
- Have 8+ years of product management experience on developer tools, or are an ex-founder who has built in this space. You're technical enough to read an architecture doc and follow a design discussion.
- Have shipped cloud infrastructure as a product. You've owned at least one of compute, networking, storage, or multi-region and multi-tenant systems at a cloud, infrastructure or PaaS company, as the owner rather than a neighbouring team. You can judge the tradeoffs: instance sizing and capacity, disk and storage economics, scale-to-zero versus always-on, single-tenant versus shared, and the distance between "works in one region" and "works in twenty." Familiarity with how enterprises buy infrastructure (PrivateLink, BYOC, procurement) is a bonus.
- Have grown with an infrastructure product. You've owned infrastructure small enough to hold in your head, and stayed with it until capacity, regions and cost became the real constraints.
- Are biased toward speed. You'd rather ship something imperfect and learn from it.
- Build with what you own. You stand up a read replica, put a custom domain in front of a project, terminate traffic through PrivateLink, deploy onto BYOC. You develop opinions through first-hand use.
- Use AI to move faster. You lean on AI for the slow parts of the job (research, drafting, synthesising feedback) so you spend more time on judgment calls.
- Work async by default. We're fully remote. You make decisions in writing and move work forward without meetings.
WHAT WE OFFER
- Fully Remote
We hire globally. We believe you can do your best work from anywhere. There are no Supabase offices, but we provide a WeWork membership or co-working allowance you can use anywhere in the world.
- ESOP
Every team member receives ESOP (equity ownership) in the company. We want everyone to share in the upside of what we’re building together.
- Tech Allowance
Use this budget to set up your ideal work environment—laptop, monitor, headphones, or whatever helps you do your best work.
- Health Benefits
Supabase covers 100% of health insurance for employees and 80% for dependents, wherever you are. Your wellbeing and your family’s health are important to us.
- Annual Off-Sites
Once a year, the entire company gathers in a new city for a week of connection, collaboration, and fun. It’s a highlight of our year.
- Flexible Work
We operate asynchronously and trust you to manage your own time. You know what needs to be done and when.
- Professional Development
Every team member receives an annual education allowance to spend on learning—courses, books, conferences, or anything that supports your growth.
ABOUT THE TEAM
Supabase was born-remote and open-source-first. We believe our globally distributed team is our secret weapon in building tools developers love.
- ~400 team members
- 60+ countries
- 20+ languages spoken
- Over $1B raised (including our $500M Series F)
- 540,000+ community members
We move fast, build in public, and use what we ship. If it’s in your project, we probably use it in ours too. We believe deeply in the open-source ecosystem and strive to support—not replace—existing tools and communities.
УдалённоRiga, Latvia
Зарплата не указана
УдалённоSweden
Зарплата не указана
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ОфисCalifornia; Sunnyvale, CA; San Francisco, CA; Seattle, WA; Redmond, Washington; Burlingame, CA; New York City Metropolitan Area; Washington, D.C.; Los Angeles, CA; Boston, MA; To be considered, candidates must be located in or able to commute to one of the following cities: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Los Angeles, Washington DC, Boston
Зарплата не указана
ОфисOffice Based - Taipei, Taiwan
Зарплата не указана
ОфисNew York, NY
270 000 – 370 000 $
УдалённоleadWashington DC
Зарплата не указана
УдалённоseniorToronto; Europe; London; New York
Зарплата не указана
УдалённоleadМожно работать из любой страны
Зарплата не указана
Все вакансии в одном месте — страница 56 · Job Hunters