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Welcome to Planet. We believe in using space to help life on Earth. Planet designs, builds, and operates the largest constellation of imaging satellites in history. This constellation delivers an unprecedented dataset of empirical information via a revolutionary cloud-based platform to authoritative figures in commercial, environmental, and humanitarian sectors. We are both a space company and data company all rolled into one. Customers and users across the globe use Planet's data to develop new technologies, drive revenue, power research, and solve our world's toughest obstacles. As we control every component of hardware design, manufacturing, data processing, and software engineering, our office is a truly inspiring mix of experts from a variety of domains. We have a people-centric approach toward culture and community and we strive to iterate in a way that puts our team members first and prepares our company for growth. Join Planet and be a part of our mission to change the way people see the world. Planet is a global company with employees working remotely world wide and joining us from offices in San Francisco, Washington DC, Germany, Austria, Slovenia, and The Netherlands. About the Role: A Software Engineer in Platform Operations is responsible for helping design, build, and operate the core infrastructure that enables Planet's engineering teams to reliably deploy and scale their services with minimal friction. This role is a key contributor to the evolution of our modern cloud-native platform, focusing on security, scalability, and reliability. This position will work as part of a team that partners with software engineers across the organization to refine and improve the deployment and operational experience. The ideal candidate is excited by the opportunity to enable software engineering at scale and provide internal users a "batteries included" infrastructure experience through our internal developer platform. This is a full-time, remote position based in the United States. If located near an office, you are expected to work from that office 3 days per week. Impact You'll Own: • Design and implement core Infrastructure-as-Code (IaC) solutions to ensure the secure and scalable operation of Planet's services., • Actively work on major platform modernization initiatives, including the full migration from legacy tooling to new solutions., • Manage cloud-based infrastructure services, notably our fleet of Kubernetes clusters, and associated tooling to meet internal needs and support customer-facing service level agreements., • Enhance and maintain observability for key platform services, leveraging Grafana and other tools to establish Service Level Objectives (SLOs) and improve operational readiness., • Implement improvements and features for core systems owned by the team, such as GKE clusters, public API gateway, and other managed infrastructure solutions., • Collaborate with software engineering teams to refine the developer experience (DevEx) of our managed infrastructure. What You Bring: • 4+ years of experience in a Platform Engineering, System Administration, DevOps, or Site Reliability Engineering (SRE) role., • Deep understanding of Kubernetes, underlying compute systems, and Linux, • Working knowledge of public clouds, particularly Google Cloud Platform (GCP) or Amazon Web Services (AWS)., • Experience with CI/CD tools (e.g. GitLab, ArgoCD), Configuration Management (e.g. Terraform, Crossplane) and GitOps principles., • Ability to use an operational mindset and troubleshooting prowess for complex production environments., • Experience building services in languages such as Go and Python using tools like Git, Docker, and CI/CD workflows., • Experience building services that leverage cloud-based infrastructure and tooling such as AWS or GCP., • Ability to collaborate and clearly communicate designs and decisions verbally and in writing. What Makes You Stand Out: • Experience in the operational management and development of core platform systems or open-source infrastructure projects., • Experience with maintaining highly available or operationally resilient infrastructure at very large scales or across multiple clouds., • Practical experience with networking and network architectures as it relates to platform infrastructure., • Experience with Observability tools and best practices. #LI-REMOTE Application Deadline: June 5, 2026 by 11:59 PM PT Benefits While Working at Planet: These offerings are dependent on employment type and geographical location, based upon applicable law or company policy. • Comprehensive Medical, Dental, and Vision plans, • Health Savings Account (HSA) with a company contribution, • Generous Paid Time Off in addition to holidays and company-wide days off, • 16 Weeks of Paid Parental Leave, • Wellness Program and Employee Assistance Program (EAP), • Home Office Reimbursement, • Monthly Phone and Internet Reimbursement, • Tuition Reimbursement and access to LinkedIn Learning, • Equity, • Commuter Benefits (if local to an office), • Volunteering Paid Time Off Compensation: The US base salary range for this full-time position at the commencement of employment is listed below. Additionally, this role might be eligible for discretionary short-term and long-term incentives (bonus and equity). The final salary range is determined by job related experience, skills and location. The range displays our typical hiring range for new hire salaries in US locations only. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. New York City + California Salary Range$136,000—$170,000 USDSan Francisco Salary Range$144,500—$180,600 USDUS National Salary Range$127,000—$158,700 USD San Francisco Fair Chance Ordinance Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Why we care so much about Belonging. We're dedicated to helping the whole Planet, and to do that we must strive to represent all of it within each of our offices and on all of our teams. That's why Planet is guided by an ultimate north star of Belonging-dreaming big as we approach our ongoing work. If this job intrigues you, but you're thinking you might not have all the qualifications, please... do apply! At Planet, we are looking for well-rounded people from around the world who can contribute to more ways than just what is listed in this job description. We don't just fill positions, we aspire to fulfill people's careers, most excited about folks who are motivated by our underlying humanitarian efforts. We are a few orbits around the sun before we get to where we want to be, so we hope you're excited to come along for the ride. EEO statement: Planet is committed to building a community where everyone belongs and we invite people from all backgrounds to apply. Planet is an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. _ Accommodations: Planet is an inclusive community and we know that everyone has their own needs. If you have a disability or special need that requires accommodation during the hiring process, please reach out to accommodations@planet.com or contact your recruiter with your request. Your message will be confidential and we will be happy to assist you. Privacy Policy: By clicking "Apply Now" at the top of this job posting, I acknowledge that I have read the _, and hereby consent to the collection, processing, use, and storage of my personal information as described therein. Privacy Policy (European Applicants): By clicking "Apply Now" at the top of this job posting, I acknowledge that I have read the _, and hereby consent to the collection, processing, use, and storage of my personal information as described therein. AI in Our Interviewing Process: Planet is committed to providing an exceptional interview experience for all candidates. We currently use _ to better focus on candidates and less on trying to capture notes. As such, with the candidate's consent, select interviews may be recorded and include a "Planet AI Notetaker" for transcription and summarization purposes. Should an interview involve use of AI interview technologies, the candidate will receive notification and have the ability to opt out both in advance and/or real-time. Opting out will not affect one's candidacy. Candidate AI Policy: Planet embraces Artificial Intelligence (AI) tools, and we encourage its responsible use. We understand that candidates may use various resources, including AI tools, to prepare for interviews and assessments. However, during any live interview stage or when actively completing assessments for this position, the use of AI tools-e.g. Large Language Models (LLMs), deep fake technology, etc.-is strictly prohibited unless explicitly prompted by an interviewer or assessment instructions. If you are unsure about acceptable use, please contact your recruiter for clarification. If an AI tool or similar technology is desired as an accommodation, please contact accommodations@planet.com with your request for assistance. Your message will be confidential, and we will be happy to assist you. Violation of this policy may result in disqualification of your application.

Reddit is a community of communities. It’s built on shared interests, passion, and trust and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 101M+ daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit _. Location: US remote-friendly or any office location - SF, LA, CHI, NY The Data Science Team at Reddit is growing and we are looking for experienced Data Scientists to partner with our cross-functional partners (Product, Engineering, Designer, Marketing, Business Development etc.) to help us build and improve the systems that continuously drive our user and revenue growth. As a Senior Data Scientist on the team, you will have the opportunity to play a significant role in driving the success of key product areas at Reddit (Consumer, Ads, Safety etc.). You will lead and contribute to defining the product strategy through measurement and metrics design, experimentation and causal analyses, supporting product decisions via deep data analyses, and research. This person will be an industry technical leader with a solid technical background, strong business acumen, and excellent cross-functional stakeholders management skills. You will go through a general Data Scientists hiring process and get matched to the product area that best fits your background and interest. Responsibilities: • Develop action-oriented insights to drive the product strategy through observational causal analysis and experiment meta-analysis, and clearly communicate results to stakeholders up to the C-suite to take action based on the recommendations, • Uplevel experimentation practices on the team through guiding design, execution, and deep dive analyses to maximize learnings from A/B tests, • Create new ETLs, tables, dashboards, and other self-serve tools to enable other data scientists and cross-functional partners to find and interact with data seamlessly, • Design, evaluate, and/or measure team-level KPIs to enable quarterly goal setting and demonstrate team impact, • Regularly engage with stakeholders to gather feedback and share progress on work at all stages to ensure alignment between DS and other teams on business goals and outcomes, • Mentor more junior data scientists and business partners in data science best practices and methods to increase data literacy and improve decision making Required Qualifications: • Relevant experiences in quantitative or data science roles, preferably for a consumer-facing service/app, • Ph.D., M.S. or Bachelors degree in Statistics, Machine Learning, Economics, Computer Science, or other quantitative fields (If M.S. or Bachelors degree, a minimum of 5+ years of industry data science experience required; If PhD degree, a minimum of 3+ years of industry data science experience required), • Expertise in querying relational databases (SQL) and programming languages (e.g., R / Python), • Deep understanding of online experimentation (A/B testing), causal inference, and statistical techniques, • Comfortable in innovative and fast-paced environments, and a bias toward action, • Strong technical communication / data storytelling skills and demonstrated ability to discuss complex topics with technical and non-technical audiences alike, • Able to tackle ambiguous and undefined problems by creating an action plan, getting feedback, and iterating Benefits: • Comprehensive Health benefits, • 401k Matching, • Workspace benefits for your home office, • Personal & Professional development funds, • Family Planning Support, • Flexible Vacation (please use them!) & Reddit Global Days Off, • 4+ months paid Parental Leave, • Paid Volunteer time off #LI-Remote #LI-NH1 Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit _. To provide greater transparency to candidates, we share base pay ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. The base pay range for this position is: $190,800 - $267,100 USD In select roles and locations, the interviews will be recorded, and transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable. We will not sell your personal information or disclose it to any third party for their marketing purposes. We will delete any recording of your interview promptly after making a hiring decision. For more information about how we will handle your personal information, including our retention of it, please refer to our _. Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 121 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit _. The Home Experience team is responsible for one of the highest traffic pages on the platform: the Home feed on the Reddit apps and website. Home is both a destination and entrypoint for almost all Reddit journeys, and we know a smooth, intuitive, and delightful experience is critical to Reddit’s success and appeal. You’ll be working with the immense scale of hundreds of millions of users to help them explore Reddit and provide them with excellent feeds. This role can be remote within the United States, Canada, or Europe, or can be a hybrid model if near an office. Offices are located in San Francisco, Los Angeles, Chicago, New York City, Toronto, London, Amsterdam, Madrid and Berlin. What You’ll Do: • Be the technical lead for a high-caliber, inclusive team of engineers across the organization., • Work cross-functionally, collaborate and partner with product, design, and other engineering counterparts to design and build novel products and features that our users will love., • Work alongside a team of thoughtful, fast-moving, and motivated engineers. Drive step-function improvements in developer workflows, implement best practices, and mentor engineers across the organization.., • Participate in the full development cycle: design, development, test, experimentation, analysis, and launch. You’ll be writing and reviewing code and design docs, giving feedback on product specs and mocks, and ensuring successful delivery of key projects., • You will be a main driver in the planning, development, and implementation across Reddit’s Android architecture in conjunction with numerous partner teams, identifying and delivering on major opportunities., • Enable a culture of metrics led execution, with a focus on operational excellence and system observability., • Partner cross-functionally and with senior leadership on our strategic roadmap, driving engineering and product bets that will bring Home to the next level. Who You Might Be: • 8+ years of experience as a software engineer developing user-facing applications, • Fluency working with product metrics, designing and analyzing experiments with exposure to tools like BigQuery, HEX, Firebase, etc., • Software development experience in Kotlin for Android, familiarity with GraphQL., • Experience leveraging GenAI tools to increase software engineering productivity., • Experience working with ML engineering teams and integrating ML solutions is a plus., • Strong organizational skills, the ability to prioritize tasks and keep projects on schedule for the team., • BS degree in Computer Science, similar technical field of study, or equivalent practical experience., • Strong focus on user experience and usability. You are an undying advocate for the user, and you have a deep intuition for how people think and how they interact with software. Experience with social is a huge plus., • Entrepreneurial spirit. You must be self-directed, innovative, and biased towards action. You live to build new things and thrive in ambiguity., • Excellent communication skills. You must be able to collaborate with teams in a fully remote environment, and discuss complex topics with technical and non-technical audiences. Benefits: • Comprehensive Healthcare Benefits and Income Replacement Programs, • 401k with Employer Match, • Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support, • Family Planning Support, • Gender-Affirming Care, • Mental Health & Coaching Benefits, • Flexible Vacation & Paid Volunteer Time Off, • Generous Paid Parental Leave Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit _. To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. The base salary range for this position is: $217,000 - $303,900 USD In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable. We will not sell your personal information or disclose it to any third party for their marketing purposes. We will delete any recording of your interview promptly after making a hiring decision. For more information about how we will handle your personal information, including our retention of it, please refer to our _. Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

Welcome to Planet. We believe in using space to help life on Earth. Planet designs, builds, and operates the largest constellation of imaging satellites in history. This constellation delivers an unprecedented dataset of empirical information via a revolutionary cloud-based platform to authoritative figures in commercial, environmental, and humanitarian sectors. We are both a space company and data company all rolled into one. Customers and users across the globe use Planet's data to develop new technologies, drive revenue, power research, and solve our world's toughest obstacles. As we control every component of hardware design, manufacturing, data processing, and software engineering, our office is a truly inspiring mix of experts from a variety of domains. We have a people-centric approach toward culture and community and we strive to iterate in a way that puts our team members first and prepares our company for growth. Join Planet and be a part of our mission to change the way people see the world. Planet is a global company with employees working remotely world wide and joining us from offices in San Francisco, Washington DC, Germany, Austria, Slovenia, and The Netherlands. About the Role: Planet is looking for a Senior Engineering Manager with a proven background in guiding and mentoring high-performing engineering teams. In this role, you will be responsible for the Defense Intelligence Integration engineering team. The mission of this team is to bring Planet's catalog of imagery and tasking to large Defense & Intelligence customers. Your work will be highly visible and will directly impact the ability of customers to get faster access to Planet's unprecedented datasets This is very much a "servant leadership" role, with a high emphasis on enabling your team members to do their best work in an environment that sets them up for success. In particular, you'll ensure engineers are unblocked on dependencies, take the lead in defining the team's work, and organize that work in a way that best aligns with organizational and team practices. The team has a highly collaborative culture and is distributed remotely across the Earth. This is a full-time, remote position based in the United States. If located near an office, you are expected to work from that office 3 days per week. Impact You'll Own: • Guide your team of software engineers and data scientists to deliver successful products for the Global Monitoring Service., • Mentor, coach and unblock your team members, helping them succeed and grow their careers., • Ensure efficient shipping of product improvements and features., • Partner with your product management counterpart to define strategy and take tactical decisions., • Refine and implement team processes, including for task planning, code reviews and on-call rotations., • Establish sound engineering practices to build software and design training & inference pipelines., • Collaborate across our engineering organization and other cross functional teams to align efforts, particularly concerning model maintenance, deployment pipelines, and new compute infrastructure needs. What You Bring: • 6+ years of related experience., • 4+ years of experience as a manager, with ability to build, retain, and grow diverse, geographically dispersed teams., • Bachelor's degree in a relevant field., • Excellent interpersonal skills, both verbal and written, with the ability to explain complex technical issues accurately to technical and non-technical audiences., • Experience in delivering data-intensive software products at scale., • Solid understanding of fundamentals in software engineering, statistics and machine learning., • Success in establishing and evolving operational practices in a software engineering organization., • Experience with change management, managing tech debt, and analyzing tradeoffs in solution builds., • Experience with distributed cloud computing. What Makes You Stand Out: • Experience building products using sensor or geospatial data., • Experience working with satellite or airborne earth observations data., • Interest in defense, intelligence or spatial imagery. #LI-REMOTE Application Deadline: May 16, 2026 at 11:59p PT EAR/ITAR Requirements: This position requires access to export-controlled information, and as such, employment (or hiring of a contractor) is contingent upon the candidate's ability to access all applicable export-controlled information without additional export licensing being required by the Bureau of Industry and Security and/or the Directorate of Defense Trade Controls. Benefits While Working at Planet: These offerings are dependent on employment type and geographical location, based upon applicable law or company policy. • Comprehensive Medical, Dental, and Vision plans, • Health Savings Account (HSA) with a company contribution, • Generous Paid Time Off in addition to holidays and company-wide days off, • 16 Weeks of Paid Parental Leave, • Wellness Program and Employee Assistance Program (EAP), • Home Office Reimbursement, • Monthly Phone and Internet Reimbursement, • Tuition Reimbursement and access to LinkedIn Learning, • Equity, • Commuter Benefits (if local to an office), • Volunteering Paid Time Off Compensation: The US base salary range for this full-time position at the commencement of employment is listed below. Additionally, this role might be eligible for discretionary short-term and long-term incentives (bonus and equity). The final salary range is determined by job related experience, skills and location. The range displays our typical hiring range for new hire salaries in US locations only. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. New York City + California Salary Range$172,200—$215,200 USDSan Francisco Salary Range$182,900—$228,600 USDUS National Salary Range$160,600—$200,800 USD San Francisco Fair Chance Ordinance Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Why we care so much about Belonging. We're dedicated to helping the whole Planet, and to do that we must strive to represent all of it within each of our offices and on all of our teams. That's why Planet is guided by an ultimate north star of Belonging-dreaming big as we approach our ongoing work. If this job intrigues you, but you're thinking you might not have all the qualifications, please... do apply! At Planet, we are looking for well-rounded people from around the world who can contribute to more ways than just what is listed in this job description. We don't just fill positions, we aspire to fulfill people's careers, most excited about folks who are motivated by our underlying humanitarian efforts. We are a few orbits around the sun before we get to where we want to be, so we hope you're excited to come along for the ride. EEO statement: Planet is committed to building a community where everyone belongs and we invite people from all backgrounds to apply. Planet is an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. _ Accommodations: Planet is an inclusive community and we know that everyone has their own needs. If you have a disability or special need that requires accommodation during the hiring process, please reach out to accommodations@planet.com or contact your recruiter with your request. Your message will be confidential and we will be happy to assist you. Privacy Policy: By clicking "Apply Now" at the top of this job posting, I acknowledge that I have read the _, and hereby consent to the collection, processing, use, and storage of my personal information as described therein. Privacy Policy (European Applicants): By clicking "Apply Now" at the top of this job posting, I acknowledge that I have read the _, and hereby consent to the collection, processing, use, and storage of my personal information as described therein. AI in Our Interviewing Process: Planet is committed to providing an exceptional interview experience for all candidates. We currently use _ to better focus on candidates and less on trying to capture notes. As such, with the candidate's consent, select interviews may be recorded and include a "Planet AI Notetaker" for transcription and summarization purposes. Should an interview involve use of AI interview technologies, the candidate will receive notification and have the ability to opt out both in advance and/or real-time. Opting out will not affect one's candidacy. Candidate AI Policy: Planet embraces Artificial Intelligence (AI) tools, and we encourage its responsible use. We understand that candidates may use various resources, including AI tools, to prepare for interviews and assessments. However, during any live interview stage or when actively completing assessments for this position, the use of AI tools-e.g. Large Language Models (LLMs), deep fake technology, etc.-is strictly prohibited unless explicitly prompted by an interviewer or assessment instructions. If you are unsure about acceptable use, please contact your recruiter for clarification. If an AI tool or similar technology is desired as an accommodation, please contact accommodations@planet.com with your request for assistance. Your message will be confidential, and we will be happy to assist you. Violation of this policy may result in disqualification of your application.

Welcome to Planet. We believe in using space to help life on Earth. Planet designs, builds, and operates the largest constellation of imaging satellites in history. This constellation delivers an unprecedented dataset of empirical information via a revolutionary cloud-based platform to authoritative figures in commercial, environmental, and humanitarian sectors. We are both a space company and data company all rolled into one. Customers and users across the globe use Planet's data to develop new technologies, drive revenue, power research, and solve our world's toughest obstacles. As we control every component of hardware design, manufacturing, data processing, and software engineering, our office is a truly inspiring mix of experts from a variety of domains. We have a people-centric approach toward culture and community and we strive to iterate in a way that puts our team members first and prepares our company for growth. Join Planet and be a part of our mission to change the way people see the world. Planet is a global company with employees working remotely world wide and joining us from offices in San Francisco, Washington DC, Germany, Austria, Slovenia, and The Netherlands. Internships at Planet: Planet's Summer 2026 internships are full-time, paid 12-week positions located in our San Francisco HQ Office. Program Dates: • June 1 - August 21, • June 22 - September 11 About the Role: The Mission Optimization team supports all Planet's missions, working to maximize the productivity of the world's largest Earth Observation satellite constellation. Our team spans North America and Europe. Given the scale of our fleet, automation is at the heart of our operations. You'll develop and maintain critical software that is used to manage and operate our fleet, transforming large datasets into actionable metrics. As a Mission Optimization Engineer Intern, the main scope of your project will be fleet-wide productivity optimization. You will help identify possible inefficiencies in the automated services we use to operate our satellites, and design and implement solutions to improve the overall productivity of the fleet. We are looking for a data-driven, self-starter engineer with effective communication skills that collaborates well within a technical team and adapts quickly to changing tasks and contexts. You will also work closely with hardware and software experts across teams to provide operational insights that shape our next-generation satellites. This is a full-time, in-office position based in our San Francisco office 5 days per week. Impact You'll Own: • Develop and maintain real-time, mission-critical software solutions for satellite operations, • Write scripts to aggregate satellite data and generate system monitoring metrics, • Analyze data to identify issues and inefficiencies in the full stack of services and propose solutions to improve productivity, • Identify and drive improvements to fleet capacity and productivity through process enhancements What You Bring: • Currently enrolled in a BSc in engineering or computer science, • Proficiency in software development, particularly in Python or equivalent languages, • Data-driven mindset with experience in statistical analysis, • Proactive, self-starter approach to engineering and problem-solving, • Effective interpersonal and collaboration skills within a technical team What Makes You Stand Out: • Experience with agile software development, • Experience with DevOps tools and practices (e.g., Git, GitLab, Docker, Jenkins, Bash, Linux, CI/CD, Sentry, Datadog), • Familiarity with satellite engineering and/or the space environment and its challenges, • Hands-on experience operating spacecraft or remote systems, • Familiarity with automation and optimization frameworks, • Contributions to open-source software projects Application Deadline: April 13, 2026 at 11:59p PT EAR/ITAR Requirements: This position requires access to export-controlled information, and as such, employment (or hiring of a contractor) is contingent upon the candidate's ability to access all applicable export-controlled information without additional export licensing being required by the Bureau of Industry and Security and/or the Directorate of Defense Trade Controls. Benefits While Working at Planet: These offerings are dependent on employment type and geographical location, based upon applicable law or company policy. • Commuter Benefits, • Paid time off for holidays and company-wide days off, • Internet reimbursement, • Access to LinkedIn Learning Compensation: The US hourly rate range for this position at the commencement of employment is $35 - $60. The final salary range is determined by job related experience, skills and location. The range displays our typical hiring range for new hire salaries in US locations only. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. San Francisco Salary Range$37—$60 USD San Francisco Fair Chance Ordinance Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Why we care so much about Belonging. We're dedicated to helping the whole Planet, and to do that we must strive to represent all of it within each of our offices and on all of our teams. That's why Planet is guided by an ultimate north star of Belonging-dreaming big as we approach our ongoing work. If this job intrigues you, but you're thinking you might not have all the qualifications, please... do apply! At Planet, we are looking for well-rounded people from around the world who can contribute to more ways than just what is listed in this job description. We don't just fill positions, we aspire to fulfill people's careers, most excited about folks who are motivated by our underlying humanitarian efforts. We are a few orbits around the sun before we get to where we want to be, so we hope you're excited to come along for the ride. EEO statement: Planet is committed to building a community where everyone belongs and we invite people from all backgrounds to apply. Planet is an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. _ Accommodations: Planet is an inclusive community and we know that everyone has their own needs. If you have a disability or special need that requires accommodation during the hiring process, please reach out to accommodations@planet.com or contact your recruiter with your request. Your message will be confidential and we will be happy to assist you. Privacy Policy: By clicking "Apply Now" at the top of this job posting, I acknowledge that I have read the _, and hereby consent to the collection, processing, use, and storage of my personal information as described therein. Privacy Policy (European Applicants): By clicking "Apply Now" at the top of this job posting, I acknowledge that I have read the _, and hereby consent to the collection, processing, use, and storage of my personal information as described therein. AI in Our Interviewing Process: Planet is committed to providing an exceptional interview experience for all candidates. We currently use _ to better focus on candidates and less on trying to capture notes. As such, with the candidate's consent, select interviews may be recorded and include a "Planet AI Notetaker" for transcription and summarization purposes. Should an interview involve use of AI interview technologies, the candidate will receive notification and have the ability to opt out both in advance and/or real-time. Opting out will not affect one's candidacy. Candidate AI Policy: Planet embraces Artificial Intelligence (AI) tools, and we encourage its responsible use. We understand that candidates may use various resources, including AI tools, to prepare for interviews and assessments. However, during any live interview stage or when actively completing assessments for this position, the use of AI tools-e.g. Large Language Models (LLMs), deep fake technology, etc.-is strictly prohibited unless explicitly prompted by an interviewer or assessment instructions. If you are unsure about acceptable use, please contact your recruiter for clarification. If an AI tool or similar technology is desired as an accommodation, please contact accommodations@planet.com with your request for assistance. Your message will be confidential, and we will be happy to assist you. Violation of this policy may result in disqualification of your application.

Welcome to Planet. We believe in using space to help life on Earth. Planet designs, builds, and operates the largest constellation of imaging satellites in history. This constellation delivers an unprecedented dataset of empirical information via a revolutionary cloud-based platform to authoritative figures in commercial, environmental, and humanitarian sectors. We are both a space company and data company all rolled into one. Customers and users across the globe use Planet's data to develop new technologies, drive revenue, power research, and solve our world's toughest obstacles. As we control every component of hardware design, manufacturing, data processing, and software engineering, our office is a truly inspiring mix of experts from a variety of domains. We have a people-centric approach toward culture and community and we strive to iterate in a way that puts our team members first and prepares our company for growth. Join Planet and be a part of our mission to change the way people see the world. Planet is a global company with employees working remotely world wide and joining us from offices in San Francisco, Washington DC, Germany, Austria, Slovenia, and The Netherlands. About the Role: We're looking for a Finance Manager who will build out a world-class revenue forecasting and analysis process for our high-growth business. The role will focus on analyzing and defining key revenue drivers, including by channel, geography, and cohort. You'll develop a deep understanding of our business by working side by side with our Business Intelligence team, Operational Managers, Accounting, and Company leadership. You'll have an immediate impact, owning and developing the comprehensive revenue forecast for the Company. You will be working closely with our business, accounting, and Investor Relations team to build a reliable and transparent forecast framework for the business, and you will report to the Sr. Director of FP&A. The ideal candidate possesses a mix of analytical rigor, financial planning expertise, and cross-functional leadership skills. This is a full-time, remote position based in the United States. If located near an office, you are expected to work from that office 3 days per week. Impact You'll Own: • Forecasting & Modeling Excellence, • Own the end-to-end annual budgeting and monthly/quarterly forecasting cycles for all revenue and related metrics., • Build & maintain sophisticated quantitative models to improve revenue forecasting/planning. Identify and coordinate improvements to existing models and systems., • The revenue modeling work has an entrepreneurial component, which requires a strong understanding of our current reporting and modeling ecosystem and motivating changes to improve accuracy and explainability., • Be the domain expert on all things revenue., • Help facilitate the preparation of forecasts by coordinating with key business partners on items such as: bookings assumptions, revenue recognition, and usage assumptions., • Insights & Strategic Partnership, • Drive actionable insights by performing detailed variance analysis (Actuals vs. Forecast vs. Budget) and clearly articulating the financial story to executive leadership., • This role requires discovering and presenting insights about how organic trends and business decisions impact Planet's revenue growth trajectory., • Preparation of Executive-level presentations summarizing revenue performance, key variances, and future outlook for the Board and Senior Leadership., • Work closely with the Accounting team to ensure alignment between revenue recognition principles and forecasting methodologies (ASC 606 implications)., • Participate in key strategic initiatives and assist with other ad hoc projects supporting business partners and finance leadership., • Systems & Process Improvement, • Automate and improve planning and reporting processes, working with the BI team to enhance the "single source of truth" for revenue data., • Accountable for ad-hoc initiatives in critical business analysis and key projects. What You Bring: • 6+ years of progressive experience working in an FP&A revenue role, or a combination of auditing/revenue accounting/investment banking and FP&A roles., • Knowledge & Skills Deep experience in analytics and financial modeling - particularly in building complex, dynamic models from scratch, and tracking forecasting models., • Strong analytical, communication, and presentation skills with proven ability to clearly and succinctly explain complex model characteristics and their results to leadership., • Familiarity with common financial concepts, including basics of revenue recognition (ASC 606) and FX impact estimates., • Ability to cut to the heart of and articulate issues, scope and select recommended solutions, and implement them., • Experience working cross-functionally with Finance, Accounting, Sales, and Business Intelligence teams., • Self-motivated and able to work in a fast-paced environment; dependable with deliverables and deadlines, able to multi-task while maintaining an emphasis on quality. What Makes You Stand Out: • Familiarity with a Subscription (SaaS) or usage-based revenue model is highly preferred., • Experience using programming skills for data analysis (Tableau, SQL, and Python/R programming skills)., • Experience working with Business Intelligence to build models and reporting., • Proven ability to work with and synthesize data from core financial and CRM systems (such as Excel, Salesforce CPQ, Netsuite, ARM, Pigment, and BI tools)., • Big 4 experience or investment banking experience., • Experience in a high-growth, rapidly changing work environment., • Ability to work with a strong sense of urgency both as an individual contributor and as a team leader. Application Deadline: June 30, 2026 at 11:59p PT Benefits While Working at Planet: These offerings are dependent on employment type and geographical location, based upon applicable law or company policy. • Comprehensive Medical, Dental, and Vision plans, • Health Savings Account (HSA) with a company contribution, • Generous Paid Time Off in addition to holidays and company-wide days off, • 16 Weeks of Paid Parental Leave, • Wellness Program and Employee Assistance Program (EAP), • Home Office Reimbursement, • Monthly Phone and Internet Reimbursement, • Tuition Reimbursement and access to LinkedIn Learning, • Equity, • Commuter Benefits (if local to an office), • Volunteering Paid Time Off Compensation: The US base salary range for this full-time position at the commencement of employment is listed below. Additionally, this role might be eligible for discretionary short-term and long-term incentives (bonus and equity). The final salary range is determined by job related experience, skills and location. The range displays our typical hiring range for new hire salaries in US locations only. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. #LI-REMOTE New York City + California Salary Range$120,900—$151,100 USDSan Francisco Salary Range$128,400—$160,500 USDUS National Salary Range$112,900—$141,100 USD San Francisco Fair Chance Ordinance Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Why we care so much about Belonging. We're dedicated to helping the whole Planet, and to do that we must strive to represent all of it within each of our offices and on all of our teams. That's why Planet is guided by an ultimate north star of Belonging-dreaming big as we approach our ongoing work. If this job intrigues you, but you're thinking you might not have all the qualifications, please... do apply! At Planet, we are looking for well-rounded people from around the world who can contribute to more ways than just what is listed in this job description. We don't just fill positions, we aspire to fulfill people's careers, most excited about folks who are motivated by our underlying humanitarian efforts. We are a few orbits around the sun before we get to where we want to be, so we hope you're excited to come along for the ride. EEO statement: Planet is committed to building a community where everyone belongs and we invite people from all backgrounds to apply. Planet is an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. _ Accommodations: Planet is an inclusive community and we know that everyone has their own needs. If you have a disability or special need that requires accommodation during the hiring process, please reach out to accommodations@planet.com or contact your recruiter with your request. Your message will be confidential and we will be happy to assist you. Privacy Policy: By clicking "Apply Now" at the top of this job posting, I acknowledge that I have read the _, and hereby consent to the collection, processing, use, and storage of my personal information as described therein. Privacy Policy (European Applicants): By clicking "Apply Now" at the top of this job posting, I acknowledge that I have read the _, and hereby consent to the collection, processing, use, and storage of my personal information as described therein. AI in Our Interviewing Process: Planet is committed to providing an exceptional interview experience for all candidates. We currently use _ to better focus on candidates and less on trying to capture notes. As such, with the candidate's consent, select interviews may be recorded and include a "Planet AI Notetaker" for transcription and summarization purposes. Should an interview involve use of AI interview technologies, the candidate will receive notification and have the ability to opt out both in advance and/or real-time. Opting out will not affect one's candidacy. Candidate AI Policy: Planet embraces Artificial Intelligence (AI) tools, and we encourage its responsible use. We understand that candidates may use various resources, including AI tools, to prepare for interviews and assessments. However, during any live interview stage or when actively completing assessments for this position, the use of AI tools-e.g. Large Language Models (LLMs), deep fake technology, etc.-is strictly prohibited unless explicitly prompted by an interviewer or assessment instructions. If you are unsure about acceptable use, please contact your recruiter for clarification. If an AI tool or similar technology is desired as an accommodation, please contact accommodations@planet.com with your request for assistance. Your message will be confidential, and we will be happy to assist you. Violation of this policy may result in disqualification of your application.

Welcome to Planet. We believe in using space to help life on Earth. Planet designs, builds, and operates the largest constellation of imaging satellites in history. This constellation delivers an unprecedented dataset of empirical information via a revolutionary cloud-based platform to authoritative figures in commercial, environmental, and humanitarian sectors. We are both a space company and data company all rolled into one. Customers and users across the globe use Planet's data to develop new technologies, drive revenue, power research, and solve our world's toughest obstacles. As we control every component of hardware design, manufacturing, data processing, and software engineering, our office is a truly inspiring mix of experts from a variety of domains. We have a people-centric approach toward culture and community and we strive to iterate in a way that puts our team members first and prepares our company for growth. Join Planet and be a part of our mission to change the way people see the world. Planet is a global company with employees working remotely world wide and joining us from offices in San Francisco, Washington DC, Germany, Austria, Slovenia, and The Netherlands. About the Role: We are seeking a highly motivated Visiting Scientist (Postdoctoral Researcher) to join our AI Research (AIR) team for a one-year residency. In this role, you will work directly with Dr. Mirela Tulbure during her sabbatical at Planet to develop our proprietary geospatial foundation models (GFMs). While Planet has historically leveraged external models, we are now focused on building in-house models specifically trained on our unique imagery. As a postdoctoral researcher, you will be the primary technical engine behind creating temporally dense embeddings that capture the dynamic and ephemeral nature of our planet-such as rapid flooding and disaster impacts. You will collaborate with "Planeteers" across data pipelines and analytics to bridge the gap between academic research and operational AI/ML solutions. Impact You'll Own: • GFM Implementation: Contribute to the design and training of a foundation model specifically optimized for Planet imagery, focusing on the integration of time-series data., • Technical Benchmarking: Execute the systematic evaluation of existing GFM architectures (e.g., TerraMind, Prithvi, Clay) against PlanetScope data to identify performance bottlenecks and transferability., • Prototype Development: Build and test workflows for detecting short-lived events, such as floods and fires, using high-cadence embeddings., • Multi-Sensor Data Fusion: Develop methods to integrate PlanetScope with Sentinel-1 SAR and other commercial datasets to maintain time-series continuity under cloud cover., • Research to Production: Work closely with Planet's research scientists to transition experimental prototypes into scalable, operational products., • Scholarly Contribution: Co-author findings for publication in top-tier journals and present research at leading conferences like IGARSS or CVPR. What You Bring: • Academic Foundation: A recently completed PhD in Geospatial Analytics, Computer Science, Remote Sensing, or a related field., • Research Track Record: Demonstrated experience in building AI-based models for environmental change or satellite image analysis., • AI/ML Fluency: Hands-on experience with foundation models, contrastive learning, and deep learning frameworks (PyTorch/TensorFlow)., • Advanced Technical Stack: Expert-level Python skills and proficiency with the geospatial scientific stack (e.g., xarray, Dask, Rasterio, GeoPandas)., • Data Engineering Aptitude: Experience building automated pipelines for preprocessing and labeling planetary-scale datasets., • Collaborative Research: Experience working within a research lab environment and a strong desire to apply academic rigor to industry challenges. What Makes You Stand Out: • Specialized Domain Knowledge: Prior research in flood-extent mapping, water dynamics, or disaster response., • GFM Fine-Tuning: Direct experience fine-tuning or modifying specific GFM architectures like TerraMind, Prithvi, or Clay., • Multi-Sensor Expertise: Proven ability to work with a variety of sensors including PlanetScope, Landsat, and Sentinel-1/2. Operational Mindset: A history of developing "human-in-the-loop" workflows or active learning strategies for labeling time-sensitive data. Application Deadline: August 12, 2026 by 11:59p / 23:59 CET (Central European Time) Benefits While Working at Planet: These offerings are dependent on employment type and geographical location, based upon applicable law or company policy. • Comprehensive Medical, Dental, and Vision plans, • Health Savings Account (HSA) with a company contribution, • Generous Paid Time Off in addition to holidays and company-wide days off, • 16 Weeks of Paid Parental Leave, • Wellness Program and Employee Assistance Program (EAP), • Home Office Reimbursement, • Monthly Phone and Internet Reimbursement, • Tuition Reimbursement and access to LinkedIn Learning, • Equity, • Commuter Benefits (if local to an office), • Volunteering Paid Time Off Compensation: The US base salary range for this full-time position at the commencement of employment is listed below. Additionally, this role might be eligible for discretionary short-term and long-term incentives (bonus and equity). The final salary range is determined by job related experience, skills and location. The range displays our typical hiring range for new hire salaries in US locations only. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. San Francisco Salary Range$144,500—$180,600 USD San Francisco Fair Chance Ordinance Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Why we care so much about Belonging. We're dedicated to helping the whole Planet, and to do that we must strive to represent all of it within each of our offices and on all of our teams. That's why Planet is guided by an ultimate north star of Belonging-dreaming big as we approach our ongoing work. If this job intrigues you, but you're thinking you might not have all the qualifications, please... do apply! At Planet, we are looking for well-rounded people from around the world who can contribute to more ways than just what is listed in this job description. We don't just fill positions, we aspire to fulfill people's careers, most excited about folks who are motivated by our underlying humanitarian efforts. We are a few orbits around the sun before we get to where we want to be, so we hope you're excited to come along for the ride. EEO statement: Planet is committed to building a community where everyone belongs and we invite people from all backgrounds to apply. Planet is an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. _ Accommodations: Planet is an inclusive community and we know that everyone has their own needs. If you have a disability or special need that requires accommodation during the hiring process, please reach out to accommodations@planet.com or contact your recruiter with your request. Your message will be confidential and we will be happy to assist you. Privacy Policy: By clicking "Apply Now" at the top of this job posting, I acknowledge that I have read the _, and hereby consent to the collection, processing, use, and storage of my personal information as described therein. Privacy Policy (European Applicants): By clicking "Apply Now" at the top of this job posting, I acknowledge that I have read the _, and hereby consent to the collection, processing, use, and storage of my personal information as described therein. AI in Our Interviewing Process: Planet is committed to providing an exceptional interview experience for all candidates. We currently use _ to better focus on candidates and less on trying to capture notes. As such, with the candidate's consent, select interviews may be recorded and include a "Planet AI Notetaker" for transcription and summarization purposes. Should an interview involve use of AI interview technologies, the candidate will receive notification and have the ability to opt out both in advance and/or real-time. Opting out will not affect one's candidacy. Candidate AI Policy: Planet embraces Artificial Intelligence (AI) tools, and we encourage its responsible use. We understand that candidates may use various resources, including AI tools, to prepare for interviews and assessments. However, during any live interview stage or when actively completing assessments for this position, the use of AI tools-e.g. Large Language Models (LLMs), deep fake technology, etc.-is strictly prohibited unless explicitly prompted by an interviewer or assessment instructions. If you are unsure about acceptable use, please contact your recruiter for clarification. If an AI tool or similar technology is desired as an accommodation, please contact accommodations@planet.com with your request for assistance. Your message will be confidential, and we will be happy to assist you. Violation of this policy may result in disqualification of your application.

Welcome to Planet. We believe in using space to help life on Earth. Planet designs, builds, and operates the largest constellation of imaging satellites in history. This constellation delivers an unprecedented dataset of empirical information via a revolutionary cloud-based platform to authoritative figures in commercial, environmental, and humanitarian sectors. We are both a space company and data company all rolled into one. Customers and users across the globe use Planet's data to develop new technologies, drive revenue, power research, and solve our world's toughest obstacles. As we control every component of hardware design, manufacturing, data processing, and software engineering, our office is a truly inspiring mix of experts from a variety of domains. We have a people-centric approach toward culture and community and we strive to iterate in a way that puts our team members first and prepares our company for growth. Join Planet and be a part of our mission to change the way people see the world. Planet is a global company with employees working remotely world wide and joining us from offices in San Francisco, Washington DC, Germany, Austria, Slovenia, and The Netherlands. About the Role: We are seeking a distinguished Visiting Staff Scientist to join our AI Research (AIR) team for a one-year sabbatical residency. In this role, you will play a pivotal part in our mission to create a "Queryable Earth" by leading the development of Planet's proprietary geospatial foundation models (GFMs). While Planet has historically leveraged external models like Google's RSFM and RemoteCLIP, we are now focused on building in-house models specifically trained on our unique imagery. You will lead research into creating temporally dense embeddings that go beyond static annual summaries, capturing the dynamic and ephemeral nature of our planet-from rapid flooding to disaster impacts. You will collaborate with a multi-disciplinary team of "Planeteers" across space operations, data pipelines, and analytics to co-develop AI/ML solutions that leverage the high spatial resolution and near-daily revisit of PlanetScope data. Impact You'll Own: • Develop Planet's Proprietary GFM: Lead the research and development of a foundation model specifically trained on Planet imagery, incorporating the time-axis to create high-cadence time-series embeddings., • Benchmark Geospatial Architectures: Systematically evaluate and compare existing GFMs (e.g., TerraMind, Prithvi, Clay) against PlanetScope data to assess performance, computational cost, and transferability., • Capture Dynamic Earth Events: Design embeddings and workflows optimized for detecting short-lived, high-impact events such as floods, rapid surface-water expansion, and fire., • Multi-Sensor Integration: Explore the synergy between PlanetScope, Sentinel-1 SAR, and other commercial SAR data to ensure robust time-series analysis even under cloud cover., • Human-in-the-Loop Innovation: Use embeddings to design active learning workflows that prioritize labeling and reduce the annotation burden for time-sensitive mapping tasks., • Academic & Technical Leadership: Publish findings in top-tier journals and present at conferences (e.g., IGARSS, CVPR), highlighting PlanetScope's unique value in the foundation model ecosystem., • Mentor & Collaborate: Oversee the technical direction of a dedicated postdoc and collaborate with Planet's research scientists to transition prototypes into operational products. What You Bring: • Distinguished Academic Background: PhD and current Faculty/Professor status in Geospatial Analytics, Computer Science, Remote Sensing, or a related field., • Deep Domain Expertise: 12+ years of experience in remote sensing and satellite image analysis, with a proven track record in building AI-based models for environmental change (e.g., flood-extent, water dynamics)., • Multimodal AI Fluency: Extensive experience with foundation models, contrastive learning (CLIP-like models), and multi-model vision-language models (MMVLMs)., • Advanced Geospatial Toolkit: Proficiency in multi-sensor integration (Landsat, Sentinel-2, PlanetScope, Sentinel-1) and high-resolution mapping at varying scales (3m, 10m, 30m)., • Technical Proficiency: Expert-level Python skills and experience with the scientific stack (xarray, Dask, NumPy, Rasterio, GeoPandas) and deep learning frameworks., • Scale-Minded Research: Experience building automated pipelines for preprocessing and labeling planetary-scale datasets., • Collaborative Spirit: A history of leading research labs and a desire to work in a fast-paced, industrial R&D environment. What Makes You Stand Out: • Specialized Environmental Research: Extensive experience specifically in flood damage quantification and methane-related water dynamics., • Proven Funding & Publication Record: History of leading NASA-funded or similar high-impact geospatial research projects., • Architectural Knowledge: Direct experience fine-tuning or modifying specific GFM architectures like TerraMind or Prithvi. Hybrid Experience: A mix of deep academic rigor and the ability to prototype rapid-change monitoring tools for operational readiness. Application Deadline: August 11, 2026 by 11:59p / 23:59 CET (Central European Time) Benefits While Working at Planet: These offerings are dependent on employment type and geographical location, based upon applicable law or company policy. • Comprehensive Medical, Dental, and Vision plans, • Health Savings Account (HSA) with a company contribution, • Generous Paid Time Off in addition to holidays and company-wide days off, • 16 Weeks of Paid Parental Leave, • Wellness Program and Employee Assistance Program (EAP), • Home Office Reimbursement, • Monthly Phone and Internet Reimbursement, • Tuition Reimbursement and access to LinkedIn Learning, • Equity, • Commuter Benefits (if local to an office), • Volunteering Paid Time Off Compensation: The US base salary range for this full-time position at the commencement of employment is listed below. Additionally, this role might be eligible for discretionary short-term and long-term incentives (bonus and equity). The final salary range is determined by job related experience, skills and location. The range displays our typical hiring range for new hire salaries in US locations only. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. San Francisco Salary Range$231,500—$289,400 USD San Francisco Fair Chance Ordinance Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Why we care so much about Belonging. We're dedicated to helping the whole Planet, and to do that we must strive to represent all of it within each of our offices and on all of our teams. That's why Planet is guided by an ultimate north star of Belonging-dreaming big as we approach our ongoing work. If this job intrigues you, but you're thinking you might not have all the qualifications, please... do apply! At Planet, we are looking for well-rounded people from around the world who can contribute to more ways than just what is listed in this job description. We don't just fill positions, we aspire to fulfill people's careers, most excited about folks who are motivated by our underlying humanitarian efforts. We are a few orbits around the sun before we get to where we want to be, so we hope you're excited to come along for the ride. EEO statement: Planet is committed to building a community where everyone belongs and we invite people from all backgrounds to apply. Planet is an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. _ Accommodations: Planet is an inclusive community and we know that everyone has their own needs. If you have a disability or special need that requires accommodation during the hiring process, please reach out to accommodations@planet.com or contact your recruiter with your request. Your message will be confidential and we will be happy to assist you. Privacy Policy: By clicking "Apply Now" at the top of this job posting, I acknowledge that I have read the _, and hereby consent to the collection, processing, use, and storage of my personal information as described therein. Privacy Policy (European Applicants): By clicking "Apply Now" at the top of this job posting, I acknowledge that I have read the _, and hereby consent to the collection, processing, use, and storage of my personal information as described therein. AI in Our Interviewing Process: Planet is committed to providing an exceptional interview experience for all candidates. We currently use _ to better focus on candidates and less on trying to capture notes. As such, with the candidate's consent, select interviews may be recorded and include a "Planet AI Notetaker" for transcription and summarization purposes. Should an interview involve use of AI interview technologies, the candidate will receive notification and have the ability to opt out both in advance and/or real-time. Opting out will not affect one's candidacy. Candidate AI Policy: Planet embraces Artificial Intelligence (AI) tools, and we encourage its responsible use. We understand that candidates may use various resources, including AI tools, to prepare for interviews and assessments. However, during any live interview stage or when actively completing assessments for this position, the use of AI tools-e.g. Large Language Models (LLMs), deep fake technology, etc.-is strictly prohibited unless explicitly prompted by an interviewer or assessment instructions. If you are unsure about acceptable use, please contact your recruiter for clarification. If an AI tool or similar technology is desired as an accommodation, please contact accommodations@planet.com with your request for assistance. Your message will be confidential, and we will be happy to assist you. Violation of this policy may result in disqualification of your application.

Welcome to Planet. We believe in using space to help life on Earth. Planet designs, builds, and operates the largest constellation of imaging satellites in history. This constellation delivers an unprecedented dataset of empirical information via a revolutionary cloud-based platform to authoritative figures in commercial, environmental, and humanitarian sectors. We are both a space company and data company all rolled into one. Customers and users across the globe use Planet's data to develop new technologies, drive revenue, power research, and solve our world's toughest obstacles. As we control every component of hardware design, manufacturing, data processing, and software engineering, our office is a truly inspiring mix of experts from a variety of domains. We have a people-centric approach toward culture and community and we strive to iterate in a way that puts our team members first and prepares our company for growth. Join Planet and be a part of our mission to change the way people see the world. Planet is a global company with employees working remotely world wide and joining us from offices in San Francisco, Washington DC, Germany, Austria, Slovenia, and The Netherlands. Impact You'll Own: • Interface mission specifications between our customer and Planet's teams, • Assess system level budgets for engineering trades and feasibility studies, • Collaborate with our mission operations as well as data product teams to ensure that the satellite system meets the needs of our customer, • Participate in the assembly, integration and testing (AI&T) of satellite systems for test planning and anomaly resolution, • Provide verification and validation of the satellite system and ground systems, including environmental, functional, and end-to-end testing, • Lead the technical coordination of multiple teams, including Mechanical, Thermal, ADSCS/GNC, Propulsion, Electrical, and Manufacturing engineering teams What You Bring: (Reference _ on how to make sure this section meets compliance requirements) • Bachelor's degree in Aerospace Engineering, Mechanical Engineering, Electrical Engineering or similar, • 5+ years of experience in the design and development of satellite systems, • Customer facing experience in briefings and design reviews, • Understanding of one or multiple satellite subsystems, including Mechanical, Thermal, ADSCS/GNC, Propulsion, or Electrical, • Familiarity with requirements formulation, validation, and verification best practices, • Experience with vehicle testing, including both functional and environmental testing What Makes You Stand Out: • Master's degree in Aerospace Engineering, Mechanical Engineering, Electrical Engineering or similar., • 7+ years of experience working in the satellite industry, including design/analysis, AI&T and/or V&V., • Familiar with industry standards including NASA GEVS and SMC-S-16 for small satellites (50-200 kg), • Remote Sensing experience related to electro-optical payloads, • Knowledge of design for space environment best practice, • Experience with constellation design or orbital simulations in custom tool suites or STK, • Excellent understanding of ground segment architecture including mission control and mission processing elements Application Deadline: July 7, 2026 by 11:59p / 23:59 CET (Central European Time) EAR/ITAR Requirements: This position requires access to export-controlled information, and as such, employment (or hiring of a contractor) is contingent upon the candidate's ability to access all applicable export-controlled information without additional export licensing being required by the Bureau of Industry and Security and/or the Directorate of Defense Trade Controls. Benefits While Working at Planet: These offerings are dependent on employment type and geographical location, based upon applicable law or company policy. • Comprehensive Medical, Dental, and Vision plans, • Health Savings Account (HSA) with a company contribution, • Generous Paid Time Off in addition to holidays and company-wide days off, • 16 Weeks of Paid Parental Leave, • Wellness Program and Employee Assistance Program (EAP), • Home Office Reimbursement, • Monthly Phone and Internet Reimbursement, • Tuition Reimbursement and access to LinkedIn Learning, • Equity, • Commuter Benefits (if local to an office), • Volunteering Paid Time Off Compensation: The US base salary range for this full-time position at the commencement of employment is listed below. Additionally, this role might be eligible for discretionary short-term and long-term incentives (bonus and equity). The final salary range is determined by job related experience, skills and location. The range displays our typical hiring range for new hire salaries in US locations only. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. San Francisco Salary Range$162,600—$203,200 USD San Francisco Fair Chance Ordinance Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Why we care so much about Belonging. We're dedicated to helping the whole Planet, and to do that we must strive to represent all of it within each of our offices and on all of our teams. That's why Planet is guided by an ultimate north star of Belonging-dreaming big as we approach our ongoing work. If this job intrigues you, but you're thinking you might not have all the qualifications, please... do apply! At Planet, we are looking for well-rounded people from around the world who can contribute to more ways than just what is listed in this job description. We don't just fill positions, we aspire to fulfill people's careers, most excited about folks who are motivated by our underlying humanitarian efforts. We are a few orbits around the sun before we get to where we want to be, so we hope you're excited to come along for the ride. EEO statement: Planet is committed to building a community where everyone belongs and we invite people from all backgrounds to apply. Planet is an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. _ Accommodations: Planet is an inclusive community and we know that everyone has their own needs. If you have a disability or special need that requires accommodation during the hiring process, please reach out to accommodations@planet.com or contact your recruiter with your request. Your message will be confidential and we will be happy to assist you. Privacy Policy: By clicking "Apply Now" at the top of this job posting, I acknowledge that I have read the _, and hereby consent to the collection, processing, use, and storage of my personal information as described therein. Privacy Policy (European Applicants): By clicking "Apply Now" at the top of this job posting, I acknowledge that I have read the _, and hereby consent to the collection, processing, use, and storage of my personal information as described therein. AI in Our Interviewing Process: Planet is committed to providing an exceptional interview experience for all candidates. We currently use _ to better focus on candidates and less on trying to capture notes. As such, with the candidate's consent, select interviews may be recorded and include a "Planet AI Notetaker" for transcription and summarization purposes. Should an interview involve use of AI interview technologies, the candidate will receive notification and have the ability to opt out both in advance and/or real-time. Opting out will not affect one's candidacy. Candidate AI Policy: Planet embraces Artificial Intelligence (AI) tools, and we encourage its responsible use. We understand that candidates may use various resources, including AI tools, to prepare for interviews and assessments. However, during any live interview stage or when actively completing assessments for this position, the use of AI tools-e.g. Large Language Models (LLMs), deep fake technology, etc.-is strictly prohibited unless explicitly prompted by an interviewer or assessment instructions. If you are unsure about acceptable use, please contact your recruiter for clarification. If an AI tool or similar technology is desired as an accommodation, please contact accommodations@planet.com with your request for assistance. Your message will be confidential, and we will be happy to assist you. Violation of this policy may result in disqualification of your application.

Welcome to Planet. We believe in using space to help life on Earth. Planet designs, builds, and operates the largest constellation of imaging satellites in history. This constellation delivers an unprecedented dataset of empirical information via a revolutionary cloud-based platform to authoritative figures in commercial, environmental, and humanitarian sectors. We are both a space company and data company all rolled into one. Customers and users across the globe use Planet's data to develop new technologies, drive revenue, power research, and solve our world's toughest obstacles. As we control every component of hardware design, manufacturing, data processing, and software engineering, our office is a truly inspiring mix of experts from a variety of domains. We have a people-centric approach toward culture and community and we strive to iterate in a way that puts our team members first and prepares our company for growth. Join Planet and be a part of our mission to change the way people see the world. Planet is a global company with employees working remotely world wide and joining us from offices in San Francisco, Washington DC, Germany, Austria, Slovenia, and The Netherlands. About the Role: We are hiring a Sales Development Representative (SDR) to drive pipeline growth and create new business opportunities through strategic market development. In this role, you will also act as a bridge between current sales operations and future business opportunities, investigating unverified use cases and testing market viability before they reach the broader sales team. As an integral part of the sales organization, the SDR will work closely with the Sales and broader GTM Strategy team to develop a qualified and closable pipeline. You will be responsible for strategic outreach, account research, and multi-channel engagement to connect with potential customers and position our solutions effectively. The ideal candidate is a proactive problem-solver who can identify a customer's core needs and develop conceptual frameworks or early-stage demonstrations. You will be responsible for determining which opportunities have the potential for scale and which require different strategic pathways, such as partner-led motions or automation. This is a full-time, remote position based in the United States. If located near an office, you are expected to work from that office 3 days per week. Impact You'll Own: • Facilitate deep-dive discovery in verified and unverified markets to identify high-impact opportunities, • Conduct initial research and outreach to define customer challenges and determine where our solutions provide the most significant value and execute strategic outreach through personalized emails, cold calls, social selling, and industry events., • Leverage modern digital tools and AI-assisted workflows to create mock-ups, demonstrations, or "proof-of-concept" applications that illustrate potential solutions for prospects., • Analyze early-stage data to determine the potential scale of new segments and identify the most effective sales or partnership channels. What You Bring: • 3+ years of experience in sales development, business development, or a technical-leaning research role., • Ability to generate pipeline through outbound prospecting, including cold calling and multi-channel outreach., • Excellent research and account-mapping skills, with the ability to identify key decision-makers and uncover business needs., • Ability to facilitate discovery to determine where a solution fits and how impactful it could be for different stakeholders., • Experience using CRM and sales engagement tools (Salesforce, LinkedIn Sales Navigator, or similar platforms)., • Ability to work independently in a dynamic, target-driven environment., • Bachelor's degree in Business, Marketing, Environmental Science, or other relevant major What Makes You Stand Out: • Experience exceeding outbound sales metrics, such as meeting or surpassing call, email, and opportunity creation targets., • Experience in a consultative sales approach, effectively leading early-stage sales conversations and uncovering deeper business needs., • Ability to quickly learn and articulate complex solutions, particularly in geospatial data, SaaS, or analytics-driven industries., • Experience working in fast-growing or high-performance sales teams, adapting to changing priorities and growth strategies., • Ability to craft compelling, hyper-personalized outreach based on research, industry trends, and prospect-specific challenges., • Experience with software development or a proven ability to leverage AI-assisted coding tools to rapidly prototype and build software solutions. Application Deadline: August 17, 2026 by 11:59pm (Pacific Central Time) Benefits While Working at Planet: These offerings are dependent on employment type and geographical location, based upon applicable law or company policy. • Comprehensive Medical, Dental, and Vision plans, • Health Savings Account (HSA) with a company contribution, • Generous Paid Time Off in addition to holidays and company-wide days off, • 16 Weeks of Paid Parental Leave, • Wellness Program and Employee Assistance Program (EAP), • Home Office Reimbursement, • Monthly Phone and Internet Reimbursement, • Tuition Reimbursement and access to LinkedIn Learning, • Equity, • Commuter Benefits (if local to an office), • Volunteering Paid Time Off Compensation: The US base salary range for this full-time position at the commencement of employment is listed below. Additionally, this role might be eligible for discretionary short-term and long-term incentives (bonus and equity). The final salary range is determined by job related experience, skills and location. The range displays our typical hiring range for new hire salaries in US locations only. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. US National Salary Range $73,760.00 - $92,240.00 #LI-REMOTE San Francisco Fair Chance Ordinance Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Why we care so much about Belonging. We're dedicated to helping the whole Planet, and to do that we must strive to represent all of it within each of our offices and on all of our teams. That's why Planet is guided by an ultimate north star of Belonging-dreaming big as we approach our ongoing work. If this job intrigues you, but you're thinking you might not have all the qualifications, please... do apply! At Planet, we are looking for well-rounded people from around the world who can contribute to more ways than just what is listed in this job description. We don't just fill positions, we aspire to fulfill people's careers, most excited about folks who are motivated by our underlying humanitarian efforts. We are a few orbits around the sun before we get to where we want to be, so we hope you're excited to come along for the ride. EEO statement: Planet is committed to building a community where everyone belongs and we invite people from all backgrounds to apply. Planet is an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. _ Accommodations: Planet is an inclusive community and we know that everyone has their own needs. If you have a disability or special need that requires accommodation during the hiring process, please reach out to accommodations@planet.com or contact your recruiter with your request. Your message will be confidential and we will be happy to assist you. Privacy Policy: By clicking "Apply Now" at the top of this job posting, I acknowledge that I have read the _, and hereby consent to the collection, processing, use, and storage of my personal information as described therein. Privacy Policy (European Applicants): By clicking "Apply Now" at the top of this job posting, I acknowledge that I have read the _, and hereby consent to the collection, processing, use, and storage of my personal information as described therein. AI in Our Interviewing Process: Planet is committed to providing an exceptional interview experience for all candidates. We currently use _ to better focus on candidates and less on trying to capture notes. As such, with the candidate's consent, select interviews may be recorded and include a "Planet AI Notetaker" for transcription and summarization purposes. Should an interview involve use of AI interview technologies, the candidate will receive notification and have the ability to opt out both in advance and/or real-time. Opting out will not affect one's candidacy. Candidate AI Policy: Planet embraces Artificial Intelligence (AI) tools, and we encourage its responsible use. We understand that candidates may use various resources, including AI tools, to prepare for interviews and assessments. However, during any live interview stage or when actively completing assessments for this position, the use of AI tools-e.g. Large Language Models (LLMs), deep fake technology, etc.-is strictly prohibited unless explicitly prompted by an interviewer or assessment instructions. If you are unsure about acceptable use, please contact your recruiter for clarification. If an AI tool or similar technology is desired as an accommodation, please contact accommodations@planet.com with your request for assistance. Your message will be confidential, and we will be happy to assist you. Violation of this policy may result in disqualification of your application.

Welcome to Planet. We believe in using space to help life on Earth. Planet designs, builds, and operates the largest constellation of imaging satellites in history. This constellation delivers an unprecedented dataset of empirical information via a revolutionary cloud-based platform to authoritative figures in commercial, environmental, and humanitarian sectors. We are both a space company and data company all rolled into one. Customers and users across the globe use Planet's data to develop new technologies, drive revenue, power research, and solve our world's toughest obstacles. As we control every component of hardware design, manufacturing, data processing, and software engineering, our office is a truly inspiring mix of experts from a variety of domains. We have a people-centric approach toward culture and community and we strive to iterate in a way that puts our team members first and prepares our company for growth. Join Planet and be a part of our mission to change the way people see the world. Planet is a global company with employees working remotely world wide and joining us from offices in San Francisco, Washington DC, Germany, Austria, Slovenia, and The Netherlands. About the Role: Our team is in charge of planning the tasks and imagery acquisitions of Earth observation satellites. We do so with a small team of highly-skilled engineers from our offices in SF and Berlin and we are currently looking for a highly motivated and proactive Satellite Tasking Engineer to join our operations team. Your mission will be to support day-to-day operations, which includes collection performance analysis, order monitoring, performing feasibility studies and the development of our operational tools. The ideal candidate is a self-starter, quick learner, good communicator, and has the ability to switch contexts quickly. You will be working in a close collaborative environment, and will gain first-hand experience in numerous fields related to managing satellite image acquisition planning, geospatial data analysis, tool development and process automation by supporting our operations team. This is a full-time, hybrid role which will require you to work from our San Francisco office 3 days per week. Impact You'll Own: • Support Collection Planning team during operational planning process, • Prepare geospatial data, maps and dashboards, • Run & interpret standard and complex feasibility studies, • Develops, validates and automates operational tools, • Proactively improve existing processes, • Collaborates with image quality support, orbits, mission software, space operations, data pipeline and product teams What You Bring: • 2+ years of relevant experience, • Bachelor's degree in Computer Science, engineering, or geo science, • Software development experience in Python or equivalent, • Data-driven mindset and comfortable with data analysis, • Sound SQL skills, familiar with git / version control, • Understanding of satellite imagery and remote sensing, • Self-starter that proactively tackles problems and brings in their own ideas, • Ability to work in a dynamic environment, • Team player with an ability to learn and collaborate across teams, • Fluent in written and spoken English, the language of the company What Makes You Stand Out: • Familiar with automation and software development tools (i.e. Jenkins, Bash, Git), • Experience with data visualization platforms (e.g., Looker Studio, OMNI, CARTO)., • Familiarity with geospatial software (e.g., QGIS, ArcGIS, GDAL) or libraries (e.g., Shapely, GeoPandas). Application Deadline: May 30th, 2026 at 11:59p PT EAR/ITAR Requirements: This position requires access to export-controlled information, and as such, employment (or hiring of a contractor) is contingent upon the candidate's ability to access all applicable export-controlled information without additional export licensing being required by the Bureau of Industry and Security and/or the Directorate of Defense Trade Controls. Benefits While Working at Planet: These offerings are dependent on employment type and geographical location, based upon applicable law or company policy. • Comprehensive Medical, Dental, and Vision plans, • Health Savings Account (HSA) with a company contribution, • Generous Paid Time Off in addition to holidays and company-wide days off, • 16 Weeks of Paid Parental Leave, • Wellness Program and Employee Assistance Program (EAP), • Home Office Reimbursement, • Monthly Phone and Internet Reimbursement, • Tuition Reimbursement and access to LinkedIn Learning, • Equity, • Commuter Benefits (if local to an office), • Volunteering Paid Time Off Compensation: The US base salary range for this full-time position at the commencement of employment is listed below. Additionally, this role might be eligible for discretionary short-term and long-term incentives (bonus and equity). The final salary range is determined by job related experience, skills and location. The range displays our typical hiring range for new hire salaries in US locations only. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. San Francisco Salary Range$71,300—$89,100 USD San Francisco Fair Chance Ordinance Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Why we care so much about Belonging. We're dedicated to helping the whole Planet, and to do that we must strive to represent all of it within each of our offices and on all of our teams. That's why Planet is guided by an ultimate north star of Belonging-dreaming big as we approach our ongoing work. If this job intrigues you, but you're thinking you might not have all the qualifications, please... do apply! At Planet, we are looking for well-rounded people from around the world who can contribute to more ways than just what is listed in this job description. We don't just fill positions, we aspire to fulfill people's careers, most excited about folks who are motivated by our underlying humanitarian efforts. We are a few orbits around the sun before we get to where we want to be, so we hope you're excited to come along for the ride. EEO statement: Planet is committed to building a community where everyone belongs and we invite people from all backgrounds to apply. Planet is an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. _ Accommodations: Planet is an inclusive community and we know that everyone has their own needs. If you have a disability or special need that requires accommodation during the hiring process, please reach out to accommodations@planet.com or contact your recruiter with your request. Your message will be confidential and we will be happy to assist you. Privacy Policy: By clicking "Apply Now" at the top of this job posting, I acknowledge that I have read the _, and hereby consent to the collection, processing, use, and storage of my personal information as described therein. Privacy Policy (European Applicants): By clicking "Apply Now" at the top of this job posting, I acknowledge that I have read the _, and hereby consent to the collection, processing, use, and storage of my personal information as described therein. AI in Our Interviewing Process: Planet is committed to providing an exceptional interview experience for all candidates. We currently use _ to better focus on candidates and less on trying to capture notes. As such, with the candidate's consent, select interviews may be recorded and include a "Planet AI Notetaker" for transcription and summarization purposes. Should an interview involve use of AI interview technologies, the candidate will receive notification and have the ability to opt out both in advance and/or real-time. Opting out will not affect one's candidacy. Candidate AI Policy: Planet embraces Artificial Intelligence (AI) tools, and we encourage its responsible use. We understand that candidates may use various resources, including AI tools, to prepare for interviews and assessments. However, during any live interview stage or when actively completing assessments for this position, the use of AI tools-e.g. Large Language Models (LLMs), deep fake technology, etc.-is strictly prohibited unless explicitly prompted by an interviewer or assessment instructions. If you are unsure about acceptable use, please contact your recruiter for clarification. If an AI tool or similar technology is desired as an accommodation, please contact accommodations@planet.com with your request for assistance. Your message will be confidential, and we will be happy to assist you. Violation of this policy may result in disqualification of your application.

Job DescriptionOverview 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: $26 - $28/hourImportant: 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: New York City, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, or Burlingame. 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 Swedish, • Strong written communication skills and language fundamentals, • 1–2 years of experience in data labeling, annotation, or content-focused work, • 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 Sick Time & Paid Holiday (combined): 15 days, • Paid Holidays: Memorial Day and Labor Day, • 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 locationWhy 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. 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. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionOverview 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: $26 - $28/hourImportant: 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: New York City, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, or Burlingame. 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 Croatian, • Strong written communication skills and language fundamentals, • 1–2 years of experience in data labeling, annotation, or content-focused work, • 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 Sick Time & Paid Holiday (combined): 15 days, • Paid Holidays: Memorial Day and Labor Day, • 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 locationWhy 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. 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. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionOverview 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: $26 - $28/hourImportant: 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: New York City, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, or Burlingame. 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 Croatian, • 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 locationWhy 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. 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. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionOverview 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: $26 - $28/hourImportant: 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: New York City, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, or Burlingame. 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 Dutch, • Strong written communication skills and language fundamentals, • 1–2 years of experience in data labeling, annotation, or content-focused work, • 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 Sick Time & Paid Holiday (combined): 15 days, • Paid Holidays: Memorial Day and Labor Day, • 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 locationWhy 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. 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. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionOverview 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: $26 - $28/hourImportant: 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: New York City, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, or Burlingame. 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 Hungarian, • Strong written communication skills and language fundamentals, • 1–2 years of experience in data labeling, annotation, or content-focused work, • 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 Sick Time & Paid Holiday (combined): 15 days, • Paid Holidays: Memorial Day and Labor Day, • 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 locationWhy 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. 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. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionOverview 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: $26 - $28/hourImportant: 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: New York City, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, or Burlingame. 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 Portuguese (Portugal), • Strong written communication skills and language fundamentals, • 1–2 years of experience in data labeling, annotation, or content-focused work, • 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 Sick Time & Paid Holiday (combined): 15 days, • Paid Holidays: Memorial Day and Labor Day, • 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 locationWhy 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. 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. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionOverview 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: $26 - $28/hourImportant: 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: New York City, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, or Burlingame. 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 Finnish, • Strong written communication skills and language fundamentals, • 1–2 years of experience in data labeling, annotation, or content-focused work, • 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 Sick Time & Paid Holiday (combined): 15 days, • Paid Holidays: Memorial Day and Labor Day, • 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 locationWhy 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. 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. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Welcome to Planet. We believe in using space to help life on Earth. Planet designs, builds, and operates the largest constellation of imaging satellites in history. This constellation delivers an unprecedented dataset of empirical information via a revolutionary cloud-based platform to authoritative figures in commercial, environmental, and humanitarian sectors. We are both a space company and data company all rolled into one. Customers and users across the globe use Planet's data to develop new technologies, drive revenue, power research, and solve our world's toughest obstacles. As we control every component of hardware design, manufacturing, data processing, and software engineering, our office is a truly inspiring mix of experts from a variety of domains. We have a people-centric approach toward culture and community and we strive to iterate in a way that puts our team members first and prepares our company for growth. Join Planet and be a part of our mission to change the way people see the world. Planet is a global company with employees working remotely world wide and joining us from offices in San Francisco, Washington DC, Germany, Austria, Slovenia, and The Netherlands. About the Role: Join Planet's Software Engineering Team as a Senior Geospatial AI/ML Engineer and help us build the next generation of geospatial intelligence. In this role, you will develop cutting-edge capabilities using geospatial embeddings, advanced multi-modal architectures, unsupervised and semi-supervised techniques, and vision transformers. You will design, develop, and deploy sophisticated machine-learning models that transform massive imagery and sensor data archives into high-fidelity, actionable intelligence about global activity. Your work will heavily leverage Electro-Optical (EO), Multi-Spectral Imaging (MSI), and Synthetic Aperture Radar (SAR) modalities. The ideal candidate exudes an enthusiasm for working in an AI forward development flow. You naturally integrate AI-assisted tools into your workflow to drive your own productivity and enjoy being part of a team that treats AI as a core collaborator in the development lifecycle. The ideal candidate expresses great passion for machine learning, programming, remote sensing, and large-scale scientific computing. This is a full-time, hybrid role which will require you to work from our new Denver, CO OR San Francisco, CA office 3 days per week. Impact You'll Own: • Apply advanced expertise in multi-modal architectures, LLMs, and vision transformers to process massive datasets from EO, MSI, and SAR sensors., • Own the complete lifecycle of new models, from data curation and rigorous model analysis to deployment, stability, and continuous improvement., • Handle and solve complex, ambiguous technical challenges, aligning your solutions with the company's larger goals., • Use your deep domain expertise to guide future feature development toward high-impact, achievable technical milestones. What You Bring: • Bachelor's degree in Computer Science, Applied Mathematics, Physics, or a related field., • 6+ years of relevant industry experience in machine learning, data science, or geospatial algorithm development., • Advanced expertise in Artificial Intelligence (AI) and Machine Learning (ML), including advanced algorithms, unsupervised/semi-supervised techniques, and strong mathematical foundations. What Makes You Stand Out: • Proficiency in Big Data and AI/ML at scale., • Experience with multi-modal data processing (EO, MSI, SAR), Computer Vision, and Perspective Geometry., • Full-stack capabilities, including front-end GUI, database management, and containerization (Docker)., • Ability to balance innovative and creative technological approaches with strong coding talent., • Expertise that can extend support beyond the Defense and Intelligence (D&I) sectors, aligning with Planet's strategic mission expansion., • Ability to operate with a high degree of autonomy and require minimal day-to-day oversight. #LI-REMOTE Application Deadline: June 30th, 2026 at 11:59p PT Benefits While Working at Planet: These offerings are dependent on employment type and geographical location, based upon applicable law or company policy. • Comprehensive Medical, Dental, and Vision plans, • Health Savings Account (HSA) with a company contribution, • Generous Paid Time Off in addition to holidays and company-wide days off, • 16 Weeks of Paid Parental Leave, • Wellness Program and Employee Assistance Program (EAP), • Home Office Reimbursement, • Monthly Phone and Internet Reimbursement, • Tuition Reimbursement and access to LinkedIn Learning, • Equity, • Commuter Benefits (if local to an office), • Volunteering Paid Time Off Compensation: The US base salary range for this full-time position at the commencement of employment is listed below. Additionally, this role might be eligible for discretionary short-term and long-term incentives (bonus and equity). The final salary range is determined by job related experience, skills and location. The range displays our typical hiring range for new hire salaries in US locations only. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. New York City + California Salary Range$153,000—$191,300 USDSan Francisco Salary Range$162,600—$203,200 USDUS National Salary Range$142,800—$178,500 USD San Francisco Fair Chance Ordinance Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Why we care so much about Belonging. We're dedicated to helping the whole Planet, and to do that we must strive to represent all of it within each of our offices and on all of our teams. That's why Planet is guided by an ultimate north star of Belonging-dreaming big as we approach our ongoing work. If this job intrigues you, but you're thinking you might not have all the qualifications, please... do apply! At Planet, we are looking for well-rounded people from around the world who can contribute to more ways than just what is listed in this job description. We don't just fill positions, we aspire to fulfill people's careers, most excited about folks who are motivated by our underlying humanitarian efforts. We are a few orbits around the sun before we get to where we want to be, so we hope you're excited to come along for the ride. EEO statement: Planet is committed to building a community where everyone belongs and we invite people from all backgrounds to apply. Planet is an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. _ Accommodations: Planet is an inclusive community and we know that everyone has their own needs. If you have a disability or special need that requires accommodation during the hiring process, please reach out to accommodations@planet.com or contact your recruiter with your request. Your message will be confidential and we will be happy to assist you. Privacy Policy: By clicking "Apply Now" at the top of this job posting, I acknowledge that I have read the _, and hereby consent to the collection, processing, use, and storage of my personal information as described therein. Privacy Policy (European Applicants): By clicking "Apply Now" at the top of this job posting, I acknowledge that I have read the _, and hereby consent to the collection, processing, use, and storage of my personal information as described therein. AI in Our Interviewing Process: Planet is committed to providing an exceptional interview experience for all candidates. We currently use _ to better focus on candidates and less on trying to capture notes. As such, with the candidate's consent, select interviews may be recorded and include a "Planet AI Notetaker" for transcription and summarization purposes. Should an interview involve use of AI interview technologies, the candidate will receive notification and have the ability to opt out both in advance and/or real-time. Opting out will not affect one's candidacy. Candidate AI Policy: Planet embraces Artificial Intelligence (AI) tools, and we encourage its responsible use. We understand that candidates may use various resources, including AI tools, to prepare for interviews and assessments. However, during any live interview stage or when actively completing assessments for this position, the use of AI tools-e.g. Large Language Models (LLMs), deep fake technology, etc.-is strictly prohibited unless explicitly prompted by an interviewer or assessment instructions. If you are unsure about acceptable use, please contact your recruiter for clarification. If an AI tool or similar technology is desired as an accommodation, please contact accommodations@planet.com with your request for assistance. Your message will be confidential, and we will be happy to assist you. Violation of this policy may result in disqualification of your application.

Welcome to Planet. We believe in using space to help life on Earth. Planet designs, builds, and operates the largest constellation of imaging satellites in history. This constellation delivers an unprecedented dataset of empirical information via a revolutionary cloud-based platform to authoritative figures in commercial, environmental, and humanitarian sectors. We are both a space company and data company all rolled into one. Customers and users across the globe use Planet's data to develop new technologies, drive revenue, power research, and solve our world's toughest obstacles. As we control every component of hardware design, manufacturing, data processing, and software engineering, our office is a truly inspiring mix of experts from a variety of domains. We have a people-centric approach toward culture and community and we strive to iterate in a way that puts our team members first and prepares our company for growth. Join Planet and be a part of our mission to change the way people see the world. Planet is a global company with employees working remotely world wide and joining us from offices in San Francisco, Washington DC, Germany, Austria, Slovenia, and The Netherlands. About the Role: Planet seeks a Senior Camera Hardware Engineer to serve as the lead electrical architect for our satellite imaging payloads within the Electrical Engineering team. This role encompasses the complete electrical life cycle of our camera systems, including recommending the optimal image sensor, designing ultra-low-noise power rails, and guaranteeing high-speed data integrity from the sensor to the FPGA. The engineer will collaborate closely with Electrical, Mechanical, Thermal and Optical engineers to optimize the entire optical payload (camera and telescope) to meet our mission requirements. This is a full-time, hybrid role which will require you to work from our San Francisco office 3 days per week. Impact You'll Own: • Design and own the high-speed PCBA architectures for next-generation camera payloads, including sensor headboards and data acquisition systems., • Collaborate with Payload Systems Engineers to define the electrical specification and selection of CMOS image sensors, focusing on quantum efficiency, full-well capacity, and minimizing temporal/spatial noise., • Architect low-noise power delivery networks (PDN) and high-speed differential signaling (LVDS/MIPI) to ensure pristine image data capture., • Partner with Firmware/FPGA teams to optimize the Image Signal Processing pipeline, implementing hardware-level calibration for dark current and defective pixels., • Drive the electrical requirements for precision sensor alignment, including the design of flexible interconnects and thermal monitoring circuits that maintain focus across orbital temperature swings. What You Bring: • Bachelor's or Master's degree in Electrical Engineering or Mechanical Engineering or a closely related field., • 10+ years of experience in hardware design, with a significant focus on digital/analog imaging systems and camera hardware., • Expertise in CMOS sensor operation, including the ability to model and design practical solutions to minimize electronic noise., • Hands-on experience with high-end oscilloscopes, logic analyzers, and optical test equipment (monochromators, integrating spheres)., • Ability to navigate the trade-offs between power consumption, thermal dissipation, and image SNR. What Makes You Stand Out: • Experience with Earth observation payload specifications and remote sensing mission requirements., • Experience designing electronics for the LEO environment, including knowledge of radiation mitigation and vacuum-compatible design., • Professional experience with FPGA-based signal processing and high-speed data serialization., • Deep experience in precision analog design specifically for sensor biasing and high-resolution ADC interfacing. Application Deadline: June 4, 2026 at 11:59p PT EAR/ITAR Requirements: This position requires access to export-controlled information, and as such, employment (or hiring of a contractor) is contingent upon the candidate's ability to access all applicable export-controlled information without additional export licensing being required by the Bureau of Industry and Security and/or the Directorate of Defense Trade Controls. Benefits While Working at Planet: These offerings are dependent on employment type and geographical location, based upon applicable law or company policy. • Comprehensive Medical, Dental, and Vision plans, • Health Savings Account (HSA) with a company contribution, • Generous Paid Time Off in addition to holidays and company-wide days off, • 16 Weeks of Paid Parental Leave, • Wellness Program and Employee Assistance Program (EAP), • Home Office Reimbursement, • Monthly Phone and Internet Reimbursement, • Tuition Reimbursement and access to LinkedIn Learning, • Equity, • Commuter Benefits (if local to an office), • Volunteering Paid Time Off Compensation: The US base salary range for this full-time position at the commencement of employment is listed below. Additionally, this role might be eligible for discretionary short-term and long-term incentives (bonus and equity). The final salary range is determined by job related experience, skills and location. The range displays our typical hiring range for new hire salaries in US locations only. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. San Francisco Salary Range$205,800—$257,200 USD San Francisco Fair Chance Ordinance Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Why we care so much about Belonging. We're dedicated to helping the whole Planet, and to do that we must strive to represent all of it within each of our offices and on all of our teams. That's why Planet is guided by an ultimate north star of Belonging-dreaming big as we approach our ongoing work. If this job intrigues you, but you're thinking you might not have all the qualifications, please... do apply! At Planet, we are looking for well-rounded people from around the world who can contribute to more ways than just what is listed in this job description. We don't just fill positions, we aspire to fulfill people's careers, most excited about folks who are motivated by our underlying humanitarian efforts. We are a few orbits around the sun before we get to where we want to be, so we hope you're excited to come along for the ride. EEO statement: Planet is committed to building a community where everyone belongs and we invite people from all backgrounds to apply. Planet is an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. _ Accommodations: Planet is an inclusive community and we know that everyone has their own needs. If you have a disability or special need that requires accommodation during the hiring process, please reach out to accommodations@planet.com or contact your recruiter with your request. Your message will be confidential and we will be happy to assist you. Privacy Policy: By clicking "Apply Now" at the top of this job posting, I acknowledge that I have read the _, and hereby consent to the collection, processing, use, and storage of my personal information as described therein. Privacy Policy (European Applicants): By clicking "Apply Now" at the top of this job posting, I acknowledge that I have read the _, and hereby consent to the collection, processing, use, and storage of my personal information as described therein. AI in Our Interviewing Process: Planet is committed to providing an exceptional interview experience for all candidates. We currently use _ to better focus on candidates and less on trying to capture notes. As such, with the candidate's consent, select interviews may be recorded and include a "Planet AI Notetaker" for transcription and summarization purposes. 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Job DescriptionOverview 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: $26 - $28/hourImportant: 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: New York City, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, or Burlingame. 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 Danish, • Strong written communication skills and language fundamentals, • 1–2 years of experience in data labeling, annotation, or content-focused work, • 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 Sick Time & Paid Holiday (combined): 15 days, • Paid Holidays: Memorial Day and Labor Day, • 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 locationWhy 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. 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. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionOverview 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: $26 - $28/hourImportant: 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: New York City, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, or Burlingame. 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 Italian, • Strong written communication skills and language fundamentals, • 1–2 years of experience in data labeling, annotation, or content-focused work, • 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 Sick Time & Paid Holiday (combined): 15 days, • Paid Holidays: Memorial Day and Labor Day, • 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 locationWhy 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. 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. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionOverview 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: $26 - $28/hourImportant: 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: New York City, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, or Burlingame. 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 Polish, • Strong written communication skills and language fundamentals, • 1–2 years of experience in data labeling, annotation, or content-focused work, • 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 Sick Time & Paid Holiday (combined): 15 days, • Paid Holidays: Memorial Day and Labor Day, • 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 locationWhy 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. 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. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionOverview 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: $26 - $28/hourImportant: 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: New York City, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, or Burlingame. 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 Czech, • Strong written communication skills and language fundamentals, • 1–2 years of experience in data labeling, annotation, or content-focused work, • 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 Sick Time & Paid Holiday (combined): 15 days, • Paid Holidays: Memorial Day and Labor Day, • 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 locationWhy 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. 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. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionOverview 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: $26 - $28/hourImportant: 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: New York City, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, or Burlingame. 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 German, • Strong written communication skills and language fundamentals, • 1–2 years of experience in data labeling, annotation, or content-focused work, • 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 Sick Time & Paid Holiday (combined): 15 days, • Paid Holidays: Memorial Day and Labor Day, • 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 locationWhy 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. 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. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionOverview 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: $26 - $28/hourImportant: 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: New York City, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, or Burlingame. 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 Spanish, • Strong written communication skills and language fundamentals, • 1–2 years of experience in data labeling, annotation, or content-focused work, • 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 Sick Time & Paid Holiday (combined): 15 days, • Paid Holidays: Memorial Day and Labor Day, • 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 locationWhy 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. 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. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionOverview 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: $26 - $28/hourImportant: 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: New York City, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, or Burlingame. 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 Greek, • Strong written communication skills and language fundamentals, • 1–2 years of experience in data labeling, annotation, or content-focused work, • 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 Sick Time & Paid Holiday (combined): 15 days, • Paid Holidays: Memorial Day and Labor Day, • 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 locationWhy 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. 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. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Welcome to Planet. We believe in using space to help life on Earth. Planet designs, builds, and operates the largest constellation of imaging satellites in history. This constellation delivers an unprecedented dataset of empirical information via a revolutionary cloud-based platform to authoritative figures in commercial, environmental, and humanitarian sectors. We are both a space company and data company all rolled into one. Customers and users across the globe use Planet's data to develop new technologies, drive revenue, power research, and solve our world’s toughest obstacles. As we control every component of hardware design, manufacturing, data processing, and software engineering, our office is a truly inspiring mix of experts from a variety of domains. We have a people-centric approach toward culture and community and we strive to iterate in a way that puts our team members first and prepares our company for growth. Join Planet and be a part of our mission to change the way people see the world. Planet is a global company with employees working remotely world wide and joining us from offices in San Francisco, Washington DC, Germany, Austria, Slovenia, and The Netherlands. About the Role: Planet’s Mission Control is a web-based application that empowers spacecraft operators and analysts to monitor, control, and study our growing fleet of satellites. It is flanked by a number of distributed microservices that handle spacecraft scheduling, tasking, telemetry processing, and similar operational needs. Together, these services automate much of the day-to-day operations of Planet's fleet of satellites. You’ll be a part of a team that builds, maintains, and operates these tools. Our mission is to offer a seamless interface that enables spacecraft operators, analysts, and engineers at Planet to interact effortlessly with our assets in space. We strive to minimize operational burden, and to automate all aspects of satellite operations. You will be a part of a team that will support, enable and engage with the end users to iterate on these systems. In this role, you will tackle and solve a broad array of engineering problems in a fast-paced environment. This is a full-time, remote position based in the United States or Canada. If located near an office, you are expected to work from that office 3 days per week. Impact You'll Own: • Maintain and augment the automation and services ultimately responsible for the operation of Planet’s satellites. This includes but is not limited to:, • Specify and implement new HTTP APIs and help improve existing ones., • Evaluate and choose appropriate software technologies., • Design and deploy critical infrastructure., • Contribute with a team that values open and honest communication, collaboration, self-learning and initiative to solve problems big and small., • Work closely with various teams across Planet, ranging from Satellite and Ground Operations, to Pipeline and Product teams to ensure the satellite constellation meets all of the needs to achieve Planet’s missions. What You Bring: • Bachelor’s degree in Computer Science, Aerospace Engineering, or similar., • 2+ years of relevant work experience., • Experience in Python programming., • Experience in API design., • Attention to quality including automated testing, code review, and documentation., • Experience with relational database technologies (e.g., Postgres, MySQL, etc.)., • Experience with maintaining peer-reviewed code and continuous integration and deployment workflows and tooling like GitLab CI and Docker or similar., • Proficient Linux skills., • Ability to be a self-starter for solving problems in a dynamic environment., • Ability to clearly communicate and collaborate with cross-functional teams. What Makes You Stand Out: • Experience building services that leverage cloud-based infrastructure and tooling such as AWS or GCP., • Experience maintaining infrastructure with Ansible or similar (eg. Kubernetes, Terraform)., • Experience working with monitoring tools like Datadog, Sentry, or equivalent., • Experience working in microservice environments., • Knowledge of aerospace concepts. #LI-REMOTE Application Deadline: May 16, 2026 at 11:59p PT Benefits While Working at Planet: These offerings are dependent on employment type and geographical location, based upon applicable law or company policy. • Comprehensive Medical, Dental, and Vision plans, • Health Savings Account (HSA) with a company contribution, • Generous Paid Time Off in addition to holidays and company-wide days off, • 16 Weeks of Paid Parental Leave, • Wellness Program and Employee Assistance Program (EAP), • Home Office Reimbursement, • Monthly Phone and Internet Reimbursement, • Tuition Reimbursement and access to LinkedIn Learning, • Equity, • Commuter Benefits (if local to an office), • Volunteering Paid Time Off Compensation: The US base salary range for this full-time position at the commencement of employment is listed below. Additionally, this role might be eligible for discretionary short-term and long-term incentives (bonus and equity). The final salary range is determined by job related experience, skills and location. The range displays our typical hiring range for new hire salaries in US locations only. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. New York City + California Salary Range $107,500 - $134,300 USD San Francisco Salary Range $115,800 - $142,700 USD US National Salary Range $100,300 - $125,400 USD Why we care so much about Belonging. We’re dedicated to helping the whole Planet, and to do that we must strive to represent all of it within each of our offices and on all of our teams. That’s why Planet is guided by an ultimate north star of Belonging—dreaming big as we approach our ongoing work. If this job intrigues you, but you’re thinking you might not have all the qualifications, please... do apply! At Planet, we are looking for well-rounded people from around the world who can contribute to more ways than just what is listed in this job description. We don’t just fill positions, we aspire to fulfill people’s careers, most excited about folks who are motivated by our underlying humanitarian efforts. We are a few orbits around the sun before we get to where we want to be, so we hope you’re excited to come along for the ride. EEO statement: Planet is committed to building a community where everyone belongs and we invite people from all backgrounds to apply. Planet is an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. _ Accommodations: Planet is an inclusive community and we know that everyone has their own needs. If you have a disability or special need that requires accommodation during the hiring process, please reach out to accommodations@planet.com or contact your recruiter with your request. Your message will be confidential and we will be happy to assist you. Privacy Policy: By clicking "Apply Now" at the top of this job posting, I acknowledge that I have read the _, and hereby consent to the collection, processing, use, and storage of my personal information as described therein. Privacy Policy (European Applicants): By clicking "Apply Now" at the top of this job posting, I acknowledge that I have read the _, and hereby consent to the collection, processing, use, and storage of my personal information as described therein. AI in Our Interviewing Process: Planet is committed to providing an exceptional interview experience for all candidates. We are currently exploring AI interviewing technologies to better focus on candidates and less on trying to capture notes. As such, with the candidate's consent, select interviews may be recorded and include a Planet AI Notetaker for transcription and summarization purposes. Should an interview involve use of AI interview technologies, the candidate will receive notification and have the ability to opt out both in advance and/or real-time. Opting out will not affect one's candidacy. Candidate AI Policy: Planet embraces Artificial Intelligence (AI) tools, and we encourage its responsible use. We understand that candidates may use various resources, including AI tools, to prepare for interviews and assessments. However, during any live interview stage or when actively completing assessments for this position, the use of AI tools—e.g. Large Language Models (LLMs), deep fake technology, etc.—is strictly prohibited unless explicitly prompted by an interviewer or assessment instructions. If you are unsure about acceptable use, please contact your recruiter for clarification. If an AI tool or similar technology is desired as an accommodation, please contact accommodations@planet.com with your request for assistance. Your message will be confidential, and we will be happy to assist you. Violation of this policy may result in disqualification of your application.

Are you interested in learning how to work from home as a Medical Transcriptionist? We are now inviting motivated individuals to attend ourMedical Transcription Webinar & Training Course, where you will learn how to get started in this growing remote career field. We look forward to helping you get

Are you interested in learning how to work from home as a Medical Transcriptionist? We are now inviting motivated individuals to attend ourMedical Transcription Webinar & Training Course, where you will learn how to get started in this growing remote career field. During this webinar, you will lear

Are you interested in learning how to work from home as a Medical Transcriptionist?.We are now inviting motivated individuals to attend our Medical Transcription Webinar & Training Course, where you will learn how to get started in this growing remote career field.This training is perfect for begin

Are you interested in learning how to work from home as a Medical Transcriptionist?.We are now inviting motivated individuals to attend our Medical Transcription Webinar & Training Course, where you will learn how to get started in this growing remote career field.This training is perfect for begin

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