Working Student, Image Quality Support at Planet Labs Inc

Berlin, , Germany -

Full Time

Start Date

Immediate

Expiry Date

27 Apr, 26

Salary

0.0

Posted On

27 Jan, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Image Analysis, Customer Order Management, Image Quality Evaluation, Image Anomaly Identification, Remote Sensing, Image Processing, Photogrammetry, GIS Systems, UNIX Operating Systems, Communication Skills, Collaboration, Python

Industry

Software Development

Description

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 currently seeking a student assistant to support our Operations team. The successful candidate will work in the Image Quality Support (IQS) team. The IQS team is dedicated to comprehensive image quality evaluation, covering all aspects of image integrity. We are responsible for identifying issues, reporting them to the relevant stakeholders, and creating appropriate metrics to track and measure quality. Our work is essential in maintaining and advancing the quality of our imaging systems, ensuring continuous improvement and project success. This role will appeal to candidates who enjoy working with multidisciplinary teams and are passionate about innovative technologies and remote sensing. The ideal candidate is proactive, goal-oriented, detailed, and strives for success. This position is based in Berlin and follows a hybrid work model, requiring 3 days of in-office attendance per week. The role offers 20 hours of work per week. Impact You’ll Own: Operate image analysis systems Manage customer orders and track fulfillment Carry out Image Quality Evaluation Identify, triage and report image anomalies Understand and utilize internal processes and tools What You Bring: Pursuing a B.S or M.S Degree in an Engineering, Software, or Science related field from an accredited college or technical school Fundamentals of remote sensing and image processing Good knowledge of photogrammetry and GIS systems Familiarity with UNIX operating systems Proficiency in English is required, as this is the primary working language of the company Excellent communication skills and a willingness to collaborate within own and across teams What makes you stand out: Python skills Application Deadline: March 13, 2026 by 23:59 Pacific Standard Time (11:59 PM PST) Benefits While Working at Planet: These offerings are dependent on employment type and geographical location, based upon applicable law or company policy. Generous time off including vacation, holidays and company global days off Comprehensive Leave Policies Employee Wellness Program Home Office Reimbursement Monthly benefit to choose from a variety of providers (Urban Sports Club, Groceries, Clothes, Entertainment, Transportation...)* Monthly Phone and Internet Reimbursement Access to LinkedIn Learning Volunteering Benefits 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. Know Your Rights. 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 Planet Data Privacy Notice for California Staff Members and Applicants, 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 Candidate Privacy Notice GDPR Planet Labs Europe, 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.

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Responsibilities

The successful candidate will operate image analysis systems, manage customer orders, and carry out image quality evaluations. They will also identify, triage, and report image anomalies while utilizing internal processes and tools.