Разработка вакансии

Location: USA - New York From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. About the Role Fivetran and dbt are building the open data infrastructure that powers AI agents you can trust. Fivetran is looking for a Senior R&D Software Engineer to join our fast-growing Fivetran AI team. Your data stack was built for humans — but agents are the new primary data consumers, and they have fundamentally different requirements. Agents can’t intuit context; it must be explicitly codified, governed, and traceable. We’re building the governed context layer that solves this problem: Agents Schema, an open standard for storing agent-ready context directly in the customer’s own data warehouse, and Context Builder, the managed service that keeps it filled and fresh. This role goes well beyond standard engineering. You’ll research emerging techniques in the fast-moving AI landscape and bring real product and market understanding to decide which ideas are worth pursuing — and then you’ll take what you’ve learned and ship it as production software. We’re looking for a true generalist who is willing and able to wear whatever hat the moment calls for: prototyping a new retrieval technique one week, hardening a backend service the next, then doing SRE or QA work when the team needs it. Fivetran AI operates like a startup within Fivetran, and we need engineers who thrive on that range rather than staying in one lane. Fivetran is the epitome of data-driven development — our engineering team is focused on building a world class product that: Builds Infrastructure Agents Can Trust — join our mission to deliver the governed context layer that AI agents depend on: accurate semantic definitions, traceable lineage, data contracts, and auditable history baked in from the start. Embraces Open Standards — help build portable, interoperable data infrastructure: Agents Schema, open formats (Iceberg, Delta Lake), MCP-native interfaces, and connector skills that work with any model and any compute. Scales Without Breaking — work to make Fivetran AI efficient at agent scale, where unit costs deflate as volume grows and context retrieval is fast, accurate, and cost-controlled. We emphasize using no-nonsense tools and take great pride in the simplicity and effectiveness of the systems we build. Our back-end is built on Java, Python, Postgres, and Kubernetes, and our front-end is built on React and TypeScript. This is a full-time hybrid position based out of our New York, NY office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team. Technologies You’ll Use Python, Java, SQL, dbt, LLMs (Claude, ChatGPT, Gemini), vector databases, BigQuery / Snowflake / Databricks, MCP protocol, React, TypeScript, Kubernetes What You’ll Do Research emerging techniques in retrieval, reasoning, and agentic AI, and evaluate what’s actually relevant to Fivetran AI’s roadmap Prototype new ideas quickly, then take the ones that prove out and turn them into shipped, production-grade features Build and maintain both back-end and front-end systems for the Fivetran AI product — from Agents Schema pipelines to the Context Catalog UI Contribute to the AISQL capability: natural language to SQL grounded in dbt metric definitions, executed natively against the warehouse Take ownership of production reliability: on-call rotation, incident response, and SRE work to keep the platform trustworthy at scale Write and maintain tests, and do hands-on QA to catch issues before customers do Use coding agents to automate the repetitive parts of the job, freeing up time for the research and design work that needs a human Partner with product and design, bringing your own understanding of the AI tooling market to shape what gets built next Develop software designs and contribute to the technical roadmap for the Fivetran AI platform Contribute to hiring by participating in the interview process Skills We’re Looking For 5+ years of programming experience across Python and/or Java, with the ability to move fluidly between back-end and front-end work Considered a trusted expert in your subject area, capable of executing complex, ambiguous tasks with minimal hand-holding Comfortable reading AI/ML research and turning promising findings into working prototypes Strong product and market awareness — able to judge which emerging techniques are worth building versus which are hype Experience with SQL and data warehouses (BigQuery, Snowflake, Databricks, or similar) Genuine willingness to work across the full stack: research, backend, frontend, SRE, and QA, as the team’s needs demand Writes well-structured, performant code and can dive into unfamiliar codebases to suggest improvements Experience using coding agents or similar AI tooling to speed up day-to-day engineering work Analytical mindset to identify gaps in existing systems and design practical, pragmatic improvements Thrives in a startup-like environment with shifting priorities and a high degree of ownership Bonus Skills Experience with LLM-powered applications — RAG pipelines, embeddings, evaluation frameworks, or agent frameworks Familiarity with semantic layers — dbt, LookML, Sigma, or similar Experience with the MCP (Model Context Protocol) ecosystem or building AI agent integrations Background in site reliability engineering — monitoring, alerting, incident response Experience in data processing (ETL, ELT) and/or building data connectors Experienced working in a cloud environment utilizing AWS, GCP, Kubernetes, or Docker Contributions to open source AI or data projects #LI-HYBRID #LI-AM1 The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role.  Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process. New York Pay Range $174,915 — $209,906.50 USD Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

Location: Denver, Colorado, United States, AMER From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. About the Role Fivetran and dbt are building the open data infrastructure that powers AI agents you can trust. Fivetran is looking for a Senior R&D Software Engineer to join our fast-growing Fivetran AI team. Your data stack was built for humans — but agents are the new primary data consumers, and they have fundamentally different requirements. Agents can’t intuit context; it must be explicitly codified, governed, and traceable. We’re building the governed context layer that solves this problem: Agents Schema, an open standard for storing agent-ready context directly in the customer’s own data warehouse, and Context Builder, the managed service that keeps it filled and fresh. This role goes well beyond standard engineering. You’ll research emerging techniques in the fast-moving AI landscape and bring real product and market understanding to decide which ideas are worth pursuing — and then you’ll take what you’ve learned and ship it as production software. We’re looking for a true generalist who is willing and able to wear whatever hat the moment calls for: prototyping a new retrieval technique one week, hardening a backend service the next, then doing SRE or QA work when the team needs it. Fivetran AI operates like a startup within Fivetran, and we need engineers who thrive on that range rather than staying in one lane. Fivetran is the epitome of data-driven development — our engineering team is focused on building a world class product that: Builds Infrastructure Agents Can Trust — join our mission to deliver the governed context layer that AI agents depend on: accurate semantic definitions, traceable lineage, data contracts, and auditable history baked in from the start. Embraces Open Standards — help build portable, interoperable data infrastructure: Agents Schema, open formats (Iceberg, Delta Lake), MCP-native interfaces, and connector skills that work with any model and any compute. Scales Without Breaking — work to make Fivetran AI efficient at agent scale, where unit costs deflate as volume grows and context retrieval is fast, accurate, and cost-controlled. We emphasize using no-nonsense tools and take great pride in the simplicity and effectiveness of the systems we build. Our back-end is built on Java, Python, Postgres, and Kubernetes, and our front-end is built on React and TypeScript. This is a full-time hybrid position based out of our Denver, CO office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team. Technologies You’ll Use Python, Java, SQL, dbt, LLMs (Claude, ChatGPT, Gemini), vector databases, BigQuery / Snowflake / Databricks, MCP protocol, React, TypeScript, Kubernetes What You’ll Do Research emerging techniques in retrieval, reasoning, and agentic AI, and evaluate what’s actually relevant to Fivetran AI’s roadmap Prototype new ideas quickly, then take the ones that prove out and turn them into shipped, production-grade features Build and maintain both back-end and front-end systems for the Fivetran AI product — from Agents Schema pipelines to the Context Catalog UI Contribute to the AISQL capability: natural language to SQL grounded in dbt metric definitions, executed natively against the warehouse Take ownership of production reliability: on-call rotation, incident response, and SRE work to keep the platform trustworthy at scale Write and maintain tests, and do hands-on QA to catch issues before customers do Use coding agents to automate the repetitive parts of the job, freeing up time for the research and design work that needs a human Partner with product and design, bringing your own understanding of the AI tooling market to shape what gets built next Develop software designs and contribute to the technical roadmap for the Fivetran AI platform Contribute to hiring by participating in the interview process Skills We’re Looking For 5+ years of programming experience across Python and/or Java, with the ability to move fluidly between back-end and front-end work Considered a trusted expert in your subject area, capable of executing complex, ambiguous tasks with minimal hand-holding Comfortable reading AI/ML research and turning promising findings into working prototypes Strong product and market awareness — able to judge which emerging techniques are worth building versus which are hype Experience with SQL and data warehouses (BigQuery, Snowflake, Databricks, or similar) Genuine willingness to work across the full stack: research, backend, frontend, SRE, and QA, as the team’s needs demand Writes well-structured, performant code and can dive into unfamiliar codebases to suggest improvements Experience using coding agents or similar AI tooling to speed up day-to-day engineering work Analytical mindset to identify gaps in existing systems and design practical, pragmatic improvements Thrives in a startup-like environment with shifting priorities and a high degree of ownership Bonus Skills Experience with LLM-powered applications — RAG pipelines, embeddings, evaluation frameworks, or agent frameworks Familiarity with semantic layers — dbt, LookML, Sigma, or similar Experience with the MCP (Model Context Protocol) ecosystem or building AI agent integrations Background in site reliability engineering — monitoring, alerting, incident response Experience in data processing (ETL, ELT) and/or building data connectors Experienced working in a cloud environment utilizing AWS, GCP, Kubernetes, or Docker Contributions to open source AI or data projects #LI-HYBRID #LI-AM1 The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role.  Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process. Denver Pay Range $163,920.50 — $196,712.50 USD Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

Location: USA - Austin (dbt) From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. About the Role Fivetran and dbt are building the open data infrastructure that powers AI agents you can trust. Fivetran is looking for a Senior R&D Software Engineer to join our fast-growing Fivetran AI team. Your data stack was built for humans — but agents are the new primary data consumers, and they have fundamentally different requirements. Agents can’t intuit context; it must be explicitly codified, governed, and traceable. We’re building the governed context layer that solves this problem: Agents Schema, an open standard for storing agent-ready context directly in the customer’s own data warehouse, and Context Builder, the managed service that keeps it filled and fresh. This role goes well beyond standard engineering. You’ll research emerging techniques in the fast-moving AI landscape and bring real product and market understanding to decide which ideas are worth pursuing — and then you’ll take what you’ve learned and ship it as production software. We’re looking for a true generalist who is willing and able to wear whatever hat the moment calls for: prototyping a new retrieval technique one week, hardening a backend service the next, then doing SRE or QA work when the team needs it. Fivetran AI operates like a startup within Fivetran, and we need engineers who thrive on that range rather than staying in one lane. Fivetran is the epitome of data-driven development — our engineering team is focused on building a world class product that: Builds Infrastructure Agents Can Trust — join our mission to deliver the governed context layer that AI agents depend on: accurate semantic definitions, traceable lineage, data contracts, and auditable history baked in from the start. Embraces Open Standards — help build portable, interoperable data infrastructure: Agents Schema, open formats (Iceberg, Delta Lake), MCP-native interfaces, and connector skills that work with any model and any compute. Scales Without Breaking — work to make Fivetran AI efficient at agent scale, where unit costs deflate as volume grows and context retrieval is fast, accurate, and cost-controlled. We emphasize using no-nonsense tools and take great pride in the simplicity and effectiveness of the systems we build. Our back-end is built on Java, Python, Postgres, and Kubernetes, and our front-end is built on React and TypeScript. This is a full-time hybrid position based out of our Austin, TX office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team. Technologies You’ll Use Python, Java, SQL, dbt, LLMs (Claude, ChatGPT, Gemini), vector databases, BigQuery / Snowflake / Databricks, MCP protocol, React, TypeScript, Kubernetes What You’ll Do Research emerging techniques in retrieval, reasoning, and agentic AI, and evaluate what’s actually relevant to Fivetran AI’s roadmap Prototype new ideas quickly, then take the ones that prove out and turn them into shipped, production-grade features Build and maintain both back-end and front-end systems for the Fivetran AI product — from Agents Schema pipelines to the Context Catalog UI Contribute to the AISQL capability: natural language to SQL grounded in dbt metric definitions, executed natively against the warehouse Take ownership of production reliability: on-call rotation, incident response, and SRE work to keep the platform trustworthy at scale Write and maintain tests, and do hands-on QA to catch issues before customers do Use coding agents to automate the repetitive parts of the job, freeing up time for the research and design work that needs a human Partner with product and design, bringing your own understanding of the AI tooling market to shape what gets built next Develop software designs and contribute to the technical roadmap for the Fivetran AI platform Contribute to hiring by participating in the interview process Skills We’re Looking For 5+ years of programming experience across Python and/or Java, with the ability to move fluidly between back-end and front-end work Considered a trusted expert in your subject area, capable of executing complex, ambiguous tasks with minimal hand-holding Comfortable reading AI/ML research and turning promising findings into working prototypes Strong product and market awareness — able to judge which emerging techniques are worth building versus which are hype Experience with SQL and data warehouses (BigQuery, Snowflake, Databricks, or similar) Genuine willingness to work across the full stack: research, backend, frontend, SRE, and QA, as the team’s needs demand Writes well-structured, performant code and can dive into unfamiliar codebases to suggest improvements Experience using coding agents or similar AI tooling to speed up day-to-day engineering work Analytical mindset to identify gaps in existing systems and design practical, pragmatic improvements Thrives in a startup-like environment with shifting priorities and a high degree of ownership Bonus Skills Experience with LLM-powered applications — RAG pipelines, embeddings, evaluation frameworks, or agent frameworks Familiarity with semantic layers — dbt, LookML, Sigma, or similar Experience with the MCP (Model Context Protocol) ecosystem or building AI agent integrations Background in site reliability engineering — monitoring, alerting, incident response Experience in data processing (ETL, ELT) and/or building data connectors Experienced working in a cloud environment utilizing AWS, GCP, Kubernetes, or Docker Contributions to open source AI or data projects #LI-HYBRID #LI-AM1 The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role.  Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process. Pay Range $163,920.50 — $196,712.50 USD Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

Location: Oakland, California, United States, AMER From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. About the Role Fivetran and dbt are building the open data infrastructure that powers AI agents you can trust. Fivetran is looking for a Senior R&D Software Engineer to join our fast-growing Fivetran AI team. Your data stack was built for humans — but agents are the new primary data consumers, and they have fundamentally different requirements. Agents can’t intuit context; it must be explicitly codified, governed, and traceable. We’re building the governed context layer that solves this problem: Agents Schema, an open standard for storing agent-ready context directly in the customer’s own data warehouse, and Context Builder, the managed service that keeps it filled and fresh. This role goes well beyond standard engineering. You’ll research emerging techniques in the fast-moving AI landscape and bring real product and market understanding to decide which ideas are worth pursuing — and then you’ll take what you’ve learned and ship it as production software. We’re looking for a true generalist who is willing and able to wear whatever hat the moment calls for: prototyping a new retrieval technique one week, hardening a backend service the next, then doing SRE or QA work when the team needs it. Fivetran AI operates like a startup within Fivetran, and we need engineers who thrive on that range rather than staying in one lane. Fivetran is the epitome of data-driven development — our engineering team is focused on building a world class product that: Builds Infrastructure Agents Can Trust — join our mission to deliver the governed context layer that AI agents depend on: accurate semantic definitions, traceable lineage, data contracts, and auditable history baked in from the start. Embraces Open Standards — help build portable, interoperable data infrastructure: Agents Schema, open formats (Iceberg, Delta Lake), MCP-native interfaces, and connector skills that work with any model and any compute. Scales Without Breaking — work to make Fivetran AI efficient at agent scale, where unit costs deflate as volume grows and context retrieval is fast, accurate, and cost-controlled. We emphasize using no-nonsense tools and take great pride in the simplicity and effectiveness of the systems we build. Our back-end is built on Java, Python, Postgres, and Kubernetes, and our front-end is built on React and TypeScript. This is a full-time hybrid position based out of our Oakland, CA office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team. Technologies You’ll Use Python, Java, SQL, dbt, LLMs (Claude, ChatGPT, Gemini), vector databases, BigQuery / Snowflake / Databricks, MCP protocol, React, TypeScript, Kubernetes What You’ll Do Research emerging techniques in retrieval, reasoning, and agentic AI, and evaluate what’s actually relevant to Fivetran AI’s roadmap Prototype new ideas quickly, then take the ones that prove out and turn them into shipped, production-grade features Build and maintain both back-end and front-end systems for the Fivetran AI product — from Agents Schema pipelines to the Context Catalog UI Contribute to the AISQL capability: natural language to SQL grounded in dbt metric definitions, executed natively against the warehouse Take ownership of production reliability: on-call rotation, incident response, and SRE work to keep the platform trustworthy at scale Write and maintain tests, and do hands-on QA to catch issues before customers do Use coding agents to automate the repetitive parts of the job, freeing up time for the research and design work that needs a human Partner with product and design, bringing your own understanding of the AI tooling market to shape what gets built next Develop software designs and contribute to the technical roadmap for the Fivetran AI platform Contribute to hiring by participating in the interview process Skills We’re Looking For 5+ years of programming experience across Python and/or Java, with the ability to move fluidly between back-end and front-end work Considered a trusted expert in your subject area, capable of executing complex, ambiguous tasks with minimal hand-holding Comfortable reading AI/ML research and turning promising findings into working prototypes Strong product and market awareness — able to judge which emerging techniques are worth building versus which are hype Experience with SQL and data warehouses (BigQuery, Snowflake, Databricks, or similar) Genuine willingness to work across the full stack: research, backend, frontend, SRE, and QA, as the team’s needs demand Writes well-structured, performant code and can dive into unfamiliar codebases to suggest improvements Experience using coding agents or similar AI tooling to speed up day-to-day engineering work Analytical mindset to identify gaps in existing systems and design practical, pragmatic improvements Thrives in a startup-like environment with shifting priorities and a high degree of ownership Bonus Skills Experience with LLM-powered applications — RAG pipelines, embeddings, evaluation frameworks, or agent frameworks Familiarity with semantic layers — dbt, LookML, Sigma, or similar Experience with the MCP (Model Context Protocol) ecosystem or building AI agent integrations Background in site reliability engineering — monitoring, alerting, incident response Experience in data processing (ETL, ELT) and/or building data connectors Experienced working in a cloud environment utilizing AWS, GCP, Kubernetes, or Docker Contributions to open source AI or data projects #LI-HYBRID #LI-AM1 The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role.  Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process. Oakland Pay Range $174,915 — $209,906.50 USD Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

RELOCATION TO UAE CoreConnect, a flagship product by VentureOne, the commercialization arm of the Advanced Technology Research Council, acts as the digital glue within the complex ecosystem of autonomous mobility in logistics. CoreConnect is building the infrastructure layer for autonomous operations in complex ecosystems. We develop a robot orchestration platform that enables logistics and other operators to deploy, manage, and scale fleets of autonomous robots across real-world environments. Our technology sits at the intersection of robotics, operations software, and intelligent automation. Role Overview We are seeking a Senior Software Engineer (Backend) who prioritizes system reliability and product impact. You will be a key contributor to CoreConnect, developing a scalable Hexagonal Backend API service that serves as the primary interface for our commercial ecosystem. We value engineers who operate with a high degree of autonomy, technical pragmatism, and a commitment to operational excellence. We are specifically looking for candidates who demonstrate ownership, pragmatism, and feel comfortable with navigating ambiguity. Key Responsibilities Core Engineering & Architecture: Design, implement, and optimize scalable Kotlin Spring Boot backend services using a Hexagonal architecture for high-performance fleet orchestration. Data & Integration Strategy: Manage complex data layers (Postgres/PostGIS, TimescaleDB) and develop a Unified Abstraction Layer to integrate diverse autonomous vehicle APIs for fleet-agnostic control. Real-time Systems & Optimization: Drive the technical roadmap for real-time data engineering, resolving bottlenecks in high-frequency data ingestion (MQTT/WebSockets) to ensure sub-second latency. Security, Scalability & Observability: Enforce standards for platform security and observability, implementing Multi-tenant Architecture (RLS) and Role-Based Access Control (RBAC). Cross-Functional Collaboration: Partner closely with Product, Engineering Leadership, and DevSecOps to build high-quality solutions that drive measurable business outcomes. Engineering Culture: Mentor engineers, lead rigorous code reviews, introduce process improvements, and foster a culture of operational excellence. Qualifications Experience & Education: Bachelor’s degree or higher in Computer Science or other relevant fields and 5+ years of professional experience with Java or Kotlin and Spring Boot delivering well-tested, complex systems in a SaaS startup environment. Architecture & Data Mastery: Deep proficiency in distributed systems, Hexagonal Architecture, and scalable API design. Expertise in SQL (PostgreSQL), geospatial data (GIS/PostGIS), and time-series data (TimescaleDB). Real-Time & Integrations: Experience architecting low-latency communication (WebSockets, MQTT) and building abstraction layers for third-party vendor APIs. Mindset & Execution: Proven ability to navigate ambiguity, balance architectural purity with commercial objectives (managing technical debt, shipping MVPs), and take full ownership of the code lifecycle and incident management (root-cause analysis and prevention). Security & Quality: A consistent focus on software quality and security best practices with hands-on experience in automated testing (unit and integration test suites), SAST, DAST, and setting up platform observability tooling. Complementary Expertise: Frontend Proficiency: Practical experience building interfaces with React or Next.js and TypeScript. Infrastructure & DevOps: Mastery of cloud environments, specifically AWS and Kubernetes (EKS), along with CI/CD pipelines and Infrastructure as Code (Terraform or Helm). Industry Experience: Direct background in logistics, robotics, or fleet management systems. Communication: Fluency in Business English is a must. What We Offer We provide a competitive, tax-free salary and a comprehensive benefits package in a collaborative, innovative, and inclusive work environment. Our benefits include an education allowance, free on-site meals, annual flight allowance, health coverage, relocation support (if applicable), and access to well-being activities such as sports and recreational events. Join us to drive innovation and shape the future of technology!

Задачи: — Проектировать технические решения для интеграционных задач разного уровня сложности, тесно взаимодействовать с командами мобильных клиентов. — Брать на себя ответственность за кодовую базу продукта и демонстрировать проактивный подход к улучшению качества архитектуры проекта. — Осуществлять доставку высоконагруженных сервисов с помощью CI/CD в Kubernetes в несколько дата-центров. — Демонстрировать структурированный подход к написанию тестов. — Обеспечивать бесперебойную работу сервиса и заданный уровень SLO. — Быть примером для подражания для менее опытных коллег и транслировать ценности команды. Требования: — Опыт проектирования и разработки бэкенд-сервисов от 6+ лет на любом языке программирования. — Практический опыт разработки на Go последние 4-5 лет. — Опыт работы с реляционными и нереляционными базами данных, с брокерами сообщений. — Умение структурировано и доступно выражать свои мысли, а также аргументированно отстаивать свою позицию. — Ориентация на решение проблем пользователей и бизнеса, технологии не являются самоцелью. — Локация в РФ. Условия: — Удалённый формат работы. — Гибкий график, фулл-тайм. — Возможность получить широкую экспертизу в разнообразных доменах бизнеса. — Влияние на развитие продуктов и на технические решения. — Обмен знаниями и технический рост. — Конкурентная зарплата (b2b контракт, ИП).

Задачи: — Проектировать отказоустойчивые технические решения — Разрабатывать высоконагруженные микросервисы по задачам платформы backend — Отвечать за код до момента релиза и после: делать код-ревью, писать автотесты, релизить, настраивать мониторинги — Развивать направление на Golang, при желании перехода в будущем, делиться знаниями и практиками между разработчиками других микросервисов Требования: — Качественный опыт написания кода на python от 3 лет — Опыт написания кода на golang и желание развиваться в нем — Умение и практика написания тестов — Свободное владение linux (bash, sed, grep и другие утилиты) — Опыт работы с СУБД: postgresql, MongoDB, ElasticSearch, Redis — Опыт работы с CI/CD: gitlab, docker, kubernetes — Знание классических алгоритмов и структур данных Условия: — Официальное трудоустройство и конкурентная заработная плата — Уютный и современный офис в шаговой доступности от станций метро Дмитровская, Савёловская, рядом с Флаконом и Хлебозаводом — Гибридный формат работы (или возможность переехать в Москву из регионов России) — Предоставление современной рабочей техники, дополнительного монитора и многое другое для комфортной работы — Гибкое начало рабочего дня по согласованию с руководителем — Забота о здоровье: консультации психолога, юриста, финансового консультанта и специалиста по ЗОЖ, после испытательного срока - ДМС (со стоматологией) и страховка для выезда за рубеж — Поддержка в обмене знаниями и идеями: поощрение выступлений на митапах и помощь с подготовкой докладов — Бесплатная подписка на сервис корпоративных скидок и предложений BestBenefits, доступ к онлайн-библиотеке издательства «МИФ»

Задачи: — Участие в разработке и поддержке проектов — Работа над backend‑задачами разного уровня сложности — Написание чистого кода, работа с API и базами данных — Взаимодействие с командой и постепенное погружение в архитектуру проектов Требования: — Уверенное знание Python 3 — Базовое знакомство с Django/FastAPI — Понимание основ реляционных БД (SQL) — Навыки работы с Git — Желание развиваться и учиться Условия: — Полная удалённая работа (только Россия) — Стажировка 2–3 месяца с возможностью досрочного завершения — Менторство и адаптационный период — Возможность долгосрочного сотрудничества и полноценный трудовой договор после успешной стажировки — Карьерный и профессиональный рост

Location: Almaty, Kazakhstan Workplace: OnSite WHY WORK AT HIGGSFIELD AI? Higgsfield AI is the fastest-scaling generative AI company in history, hitting $500M in annual revenue run rate, 25M+ users worldwide, 6M+ generations per day, and powering 390 of Fortune 500 brands. We're building at the absolute frontier of AI-powered video creation and next-generation creative tools. Joining Higgsfield means becoming part of a high-impact team shaping the future of AI-native experiences, at a company that isn't just moving fast, but rewriting what fast looks like. WHAT YOU WILL WORK ON - Develop product use cases and one-click presets for generative image/video models - Develop and optimize complex generative content pipelines (images, video, audio, text). - Design and optimize agents based on LLMs for product pipelines. - Work tightly with ML and Product teams to integrate new features. YOUR MUST HAVES You don’t need to meet every single requirement to be a strong candidate — if you’re excellent in a few of these areas and eager to grow, we’d still love to hear from you. - 1+ year of experience in Prompt Engineering - Advanced hands-on experience with generative models (t2t, t2i, t2a, v2v, v2a, i2v, and others) - Deep understanding of the AI model landscape and emerging trends - Basic experience in building and configuring agents based on LLMs and other generative models - General knowledge of ComfyUI pipelines - Intuitive “vibe coding” approach - Strong adaptability and readiness to quickly learn and apply new technologies - Willingness to work in a fast-paced, high-intensity startup environment. - Excellent communication skills and ability to collaborate across research, engineering, and product teams. THE DEAL - Competitive salary in USD. - On-site role in our Almaty office. - Full-time position with high growth potential.

Стажировка оплачивается — 800 € в месяц. Частичная занятость — 5 часов в день, с понедельника по пятницу. Офис в Барселоне. Минимум 6 месяцев. Обязателен договор между университетом и компанией (convenio de colaboración). Нужно иметь возможность оформить университетский договор о стажировке (convenio) минимум на 6 месяцев.

Задачи: — Разработка и поддержка серверных приложений и RESTful API на Kotlin (Ktor или Spring Boot). — Проектирование микросервисной архитектуры с паттернами межсервисного взаимодействия. — Проектирование и оптимизация схем баз данных PostgreSQL/MongoDB, реализация кэширования (Redis). — Интеграция брокеров сообщений (Kafka, RabbitMQ) для асинхронной и событийно-ориентированной обработки. — Реализация аутентификации и авторизации (JWT, OAuth2), написание чистого и документированного кода. — Контейнеризация приложений с Docker, оркестрация с Kubernetes, настройка CI/CD. — Написание unit и интеграционных тестов (JUnit, MockK), оптимизация производительности. — Взаимодействие с мобильными и фронтенд-командами по API контрактам, участие в код-ревью. Требования: — Опыт коммерческой backend-разработки на Kotlin от 3 лет. — Глубокие знания Kotlin и практический опыт с Ktor или Spring Boot. — Понимание REST API и опыт работы с PostgreSQL/MySQL и ORM. — Практический опыт с Coroutines, Flow, брокерами сообщений (Kafka, RabbitMQ, Redis). — Знание микросервисов, стратегий кэширования, контейнеризации (Docker, Kubernetes). — Опыт работы с Git, CI/CD инструментами, тестовыми фреймворками (JUnit, MockK, Kotest). — Базовые знания облачных платформ (AWS, GCP, Azure) и лучших практик безопасности. — Сильные навыки решения проблем и умение работать в распределенной команде. — Английский язык на уровне B2 и выше (письменно и устно). Будет плюсом: — Опыт с GraphQL, gRPC, event sourcing/CQRS. — Знания Elasticsearch, serverless, распределенного трейсинга. — Опыт с другими JVM-языками (Java, Scala), потоковой обработкой данных (Kafka Streams, Flink). — Знакомство с поисковыми системами, MLOps, блокчейн-бэкендом. — Вклад в open-source проекты на Kotlin или backend. Условия: — Удаленная работа, полный рабочий день, аутсорс/аутстафф. — Географические ограничения: кандидаты из Египта, Индии, Пакистана и Афганистана не рассматриваются.

Location: Indonesia; Remote - Europe; Remote, Worldwide Workplace: remote 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. Are you detail-oriented and curious about tech?   Welo Data is building a global network of linguists, language enthusiasts, and culturally aware contributors to shape safer, smarter AI.   By joining our talent community, you’ll be first in line for flexible, remote projects in annotation, evaluation, and prompt creation—always on your terms.   Note: This is not an active job opening. By applying, you’ll join our global contributor network. When a project aligns with your skills and availability, we’ll reach out with all the details, including scope, timeline, and compensation.   What You’ll Need - Native or near-native fluency in Tajik - Based in: Worldwide, Remote - English proficiency - Comfortable with digital tools - Detail-oriented and curious   Why Join Us? 🚀 Limitless You – Work when and where you want, with room to grow 🤖 Limitless AI – Contribute to smarter, more inclusive AI 🌎 Be Part of Us – Join a global, supportive community   About our projects: Welo Data projects vary by scope and complexity, but all play a role in building more accurate, inclusive, and human-centered AI. Depending on your skills, you might: 📝 Annotate or label text, images, or audio to train AI systems 🔍 Evaluate search results, ads, or chatbot responses for quality and relevance 💬 Create and test prompts to improve large language models (LLMs) 🌍 Ensure content reflects cultural, linguistic, or industry-specific accuracy Some projects last a few days; others may extend over several weeks. Before each one, you’ll receive clear details on tasks, timelines, and compensation, so you can decide what works best for you.   How to Apply? Click the “Apply” button on our website to fill out a short form and join our talent database. It only takes a few minutes to get started and become part of our growing community.   📬 Questions? If you have any questions about the process, feel free to contact us at TalentRequests@welocalize.com.

Location: United States; Remote - Europe; Remote, Worldwide Workplace: remote 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. Are you detail-oriented and curious about tech?   Welo Data is building a global network of linguists, language enthusiasts, and culturally aware contributors to shape safer, smarter AI.   By joining our talent community, you’ll be first in line for flexible, remote projects in annotation, evaluation, and prompt creation—always on your terms.   Note: This is not an active job opening. By applying, you’ll join our global contributor network. When a project aligns with your skills and availability, we’ll reach out with all the details, including scope, timeline, and compensation.   What You’ll Need - Native or near-native fluency in Somali - Based in: Worldwide, Remote - English proficiency - Comfortable with digital tools - Detail-oriented and curious   Why Join Us? 🚀 Limitless You – Work when and where you want, with room to grow 🤖 Limitless AI – Contribute to smarter, more inclusive AI 🌎 Be Part of Us – Join a global, supportive community   About our projects: Welo Data projects vary by scope and complexity, but all play a role in building more accurate, inclusive, and human-centered AI. Depending on your skills, you might: 📝 Annotate or label text, images, or audio to train AI systems 🔍 Evaluate search results, ads, or chatbot responses for quality and relevance 💬 Create and test prompts to improve large language models (LLMs) 🌍 Ensure content reflects cultural, linguistic, or industry-specific accuracy Some projects last a few days; others may extend over several weeks. Before each one, you’ll receive clear details on tasks, timelines, and compensation, so you can decide what works best for you.   How to Apply? Click the “Apply” button on our website to fill out a short form and join our talent database. It only takes a few minutes to get started and become part of our growing community.   📬 Questions? If you have any questions about the process, feel free to contact us at TalentRequests@welocalize.com.

Location: Philippines; Remote - Europe; Remote, Worldwide Workplace: remote 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. Are you detail-oriented and curious about tech?   Welo Data is building a global network of linguists, language enthusiasts, and culturally aware contributors to shape safer, smarter AI.   By joining our talent community, you’ll be first in line for flexible, remote projects in annotation, evaluation, and prompt creation—always on your terms.   Note: This is not an active job opening. By applying, you’ll join our global contributor network. When a project aligns with your skills and availability, we’ll reach out with all the details, including scope, timeline, and compensation.   What You’ll Need - Native or near-native fluency in Tagalog - Based in: Philippines - English proficiency - Comfortable with digital tools - Detail-oriented and curious   Why Join Us? 🚀 Limitless You – Work when and where you want, with room to grow 🤖 Limitless AI – Contribute to smarter, more inclusive AI 🌎 Be Part of Us – Join a global, supportive community   About our projects: Welo Data projects vary by scope and complexity, but all play a role in building more accurate, inclusive, and human-centered AI. Depending on your skills, you might: 📝 Annotate or label text, images, or audio to train AI systems 🔍 Evaluate search results, ads, or chatbot responses for quality and relevance 💬 Create and test prompts to improve large language models (LLMs) 🌍 Ensure content reflects cultural, linguistic, or industry-specific accuracy Some projects last a few days; others may extend over several weeks. Before each one, you’ll receive clear details on tasks, timelines, and compensation, so you can decide what works best for you.   How to Apply? Click the “Apply” button on our website to fill out a short form and join our talent database. It only takes a few minutes to get started and become part of our growing community.   📬 Questions? If you have any questions about the process, feel free to contact us at TalentRequests@welocalize.com.

Location: Philippines; Remote - Europe; Remote, Worldwide Workplace: remote 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. Are you detail-oriented and curious about tech?   Welo Data is building a global network of linguists, language enthusiasts, and culturally aware contributors to shape safer, smarter AI.   By joining our talent community, you’ll be first in line for flexible, remote projects in annotation, evaluation, and prompt creation—always on your terms.   Note: This is not an active job opening. By applying, you’ll join our global contributor network. When a project aligns with your skills and availability, we’ll reach out with all the details, including scope, timeline, and compensation.   What You’ll Need - Native or near-native fluency in Cebuano - Based in: Worldwide, Remote - English proficiency - Comfortable with digital tools - Detail-oriented and curious   Why Join Us? 🚀 Limitless You – Work when and where you want, with room to grow 🤖 Limitless AI – Contribute to smarter, more inclusive AI 🌎 Be Part of Us – Join a global, supportive community   About our projects: Welo Data projects vary by scope and complexity, but all play a role in building more accurate, inclusive, and human-centered AI. Depending on your skills, you might: 📝 Annotate or label text, images, or audio to train AI systems 🔍 Evaluate search results, ads, or chatbot responses for quality and relevance 💬 Create and test prompts to improve large language models (LLMs) 🌍 Ensure content reflects cultural, linguistic, or industry-specific accuracy Some projects last a few days; others may extend over several weeks. Before each one, you’ll receive clear details on tasks, timelines, and compensation, so you can decide what works best for you.   How to Apply? Click the “Apply” button on our website to fill out a short form and join our talent database. It only takes a few minutes to get started and become part of our growing community.   📬 Questions? If you have any questions about the process, feel free to contact us at TalentRequests@welocalize.com.

Location: Indonesia; Remote - Europe; Remote, Worldwide Workplace: remote 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. Are you detail-oriented and curious about tech?   Welo Data is building a global network of linguists, language enthusiasts, and culturally aware contributors to shape safer, smarter AI.   By joining our talent community, you’ll be first in line for flexible, remote projects in annotation, evaluation, and prompt creation—always on your terms.   Note: This is not an active job opening. By applying, you’ll join our global contributor network. When a project aligns with your skills and availability, we’ll reach out with all the details, including scope, timeline, and compensation.   What You’ll Need - Native or near-native fluency in Sundanese - Based in: Worldwide, Remote - English proficiency - Comfortable with digital tools - Detail-oriented and curious   Why Join Us? 🚀 Limitless You – Work when and where you want, with room to grow 🤖 Limitless AI – Contribute to smarter, more inclusive AI 🌎 Be Part of Us – Join a global, supportive community   About our projects: Welo Data projects vary by scope and complexity, but all play a role in building more accurate, inclusive, and human-centered AI. Depending on your skills, you might: 📝 Annotate or label text, images, or audio to train AI systems 🔍 Evaluate search results, ads, or chatbot responses for quality and relevance 💬 Create and test prompts to improve large language models (LLMs) 🌍 Ensure content reflects cultural, linguistic, or industry-specific accuracy Some projects last a few days; others may extend over several weeks. Before each one, you’ll receive clear details on tasks, timelines, and compensation, so you can decide what works best for you.   How to Apply? Click the “Apply” button on our website to fill out a short form and join our talent database. It only takes a few minutes to get started and become part of our growing community.   📬 Questions? If you have any questions about the process, feel free to contact us at TalentRequests@welocalize.com.

Location: India; Remote, Worldwide; Remote - Europe; Remote Workplace: remote 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. Are you detail-oriented and curious about tech?   Welo Data is building a global network of linguists, language enthusiasts, and culturally aware contributors to shape safer, smarter AI.   By joining our talent community, you’ll be first in line for flexible, remote projects in annotation, evaluation, and prompt creation—always on your terms.   Note: This is not an active job opening. By applying, you’ll join our global contributor network. When a project aligns with your skills and availability, we’ll reach out with all the details, including scope, timeline, and compensation.   What You’ll Need - Native or near-native fluency in Koro - Based in: Worldwide, Remote - English proficiency - Comfortable with digital tools - Detail-oriented and curious   Why Join Us? 🚀 Limitless You – Work when and where you want, with room to grow 🤖 Limitless AI – Contribute to smarter, more inclusive AI 🌎 Be Part of Us – Join a global, supportive community   About our projects: Welo Data projects vary by scope and complexity, but all play a role in building more accurate, inclusive, and human-centered AI.   Depending on your skills, you might: 📝 Annotate or label text, images, or audio to train AI systems 🔍 Evaluate search results, ads, or chatbot responses for quality and relevance 💬 Create and test prompts to improve large language models (LLMs) 🌍 Ensure content reflects cultural, linguistic, or industry-specific accuracy Some projects last a few days; others may extend over several weeks. Before each one, you’ll receive clear details on tasks, timelines, and compensation, so you can decide what works best for you.   How to Apply? Click the “Apply” button on our website to fill out a short form and join our talent database. It only takes a few minutes to get started and become part of our growing community.   📬Questions? If you have any questions about the process, feel free to contact us at TalentRequests@welocalize.com.

Location: India; Remote, Worldwide; Remote - Europe; Remote Workplace: remote 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. Are you detail-oriented and curious about tech?   Welo Data is building a global network of linguists, language enthusiasts, and culturally aware contributors to shape safer, smarter AI.   By joining our talent community, you’ll be first in line for flexible, remote projects in annotation, evaluation, and prompt creation—always on your terms.   Note: This is not an active job opening. By applying, you’ll join our global contributor network. When a project aligns with your skills and availability, we’ll reach out with all the details, including scope, timeline, and compensation.   What You’ll Need - Native or near-native fluency in Sanskrit - Based in: Worldwide, Remote - English proficiency - Comfortable with digital tools - Detail-oriented and curious   Why Join Us? 🚀 Limitless You – Work when and where you want, with room to grow 🤖 Limitless AI – Contribute to smarter, more inclusive AI 🌎 Be Part of Us – Join a global, supportive community   About our projects: Welo Data projects vary by scope and complexity, but all play a role in building more accurate, inclusive, and human-centered AI.   Depending on your skills, you might: 📝 Annotate or label text, images, or audio to train AI systems 🔍 Evaluate search results, ads, or chatbot responses for quality and relevance 💬 Create and test prompts to improve large language models (LLMs) 🌍 Ensure content reflects cultural, linguistic, or industry-specific accuracy Some projects last a few days; others may extend over several weeks. Before each one, you’ll receive clear details on tasks, timelines, and compensation, so you can decide what works best for you.   How to Apply? Click the “Apply” button on our website to fill out a short form and join our talent database. It only takes a few minutes to get started and become part of our growing community.   📬Questions? If you have any questions about the process, feel free to contact us at TalentRequests@welocalize.com.