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Map Annotation Jobs in Philadelphia, PA (NOW HIRING)

Map Annotation information

What are the key skills and qualifications needed to thrive in the Map Annotation position, and why are they important?

To thrive as a Map Annotation specialist, you should have excellent attention to detail, spatial reasoning abilities, and familiarity with geographic information systems (GIS) or digital mapping platforms. Proficiency with annotation tools like ArcGIS, QGIS, or proprietary annotation software is often required, and some roles may prefer prior experience or training in cartography or remote sensing. Strong communication, problem-solving skills, and the ability to follow complex guidelines are valuable soft skills in this position. These skills and qualities are vital because accuracy and consistency in annotating map data directly influence the quality of geographic datasets used in applications like navigation, autonomous vehicles, and urban planning.

What does a typical day look like for someone working in Map Annotation?

In a Map Annotation role, your day often involves reviewing and labeling satellite imagery or digital maps using specialized software to identify features like roads, buildings, or natural landmarks. You may work independently or as part of a team, following detailed guidelines to ensure consistency and high accuracy across the dataset. Collaboration with supervisors or quality assurance teams is common to resolve ambiguities and uphold annotation standards. The work is usually computer-based, and you might attend regular meetings to discuss updates to project requirements or annotation protocols. Over time, you can expand your responsibilities by training new teammates or moving into lead annotator or project coordinator roles.

What is a Map Annotation job?

A Map Annotation job involves labeling, tagging, or annotating geographic data to improve the accuracy of digital maps. This can include identifying roads, landmarks, businesses, addresses, and other points of interest. Annotators help train AI and mapping systems by reviewing and verifying location-based information. The role requires attention to detail, spatial awareness, and sometimes familiarity with local geography. These jobs are often remote and may be project-based.

What are the most commonly searched types of Map Annotation jobs in Philadelphia, PA? The most popular types of Map Annotation jobs in Philadelphia, PA are:
What job categories do people searching Map Annotation jobs in Philadelphia, PA look for? The top searched job categories for Map Annotation jobs in Philadelphia, PA are:
What cities near Philadelphia, PA are hiring for Map Annotation jobs? Cities near Philadelphia, PA with the most Map Annotation job openings:
Robotic Software Engineer (Senior, Staff or Lead) (Perception)

Robotic Software Engineer (Senior, Staff or Lead) (Perception)

Ghost Robotics

Philadelphia, PA • On-site

$140K - $185K/yr

Other

Posted 16 days ago


Job description

Description

About the role We're a robotics company building autonomous systems that operate in complex, dynamic environments. Our perception stack lets our robots understand, localize, and navigate the world in real time, and we care as much about robust, maintainable engineering as we do about raw algorithm performance. 


We're hiring a Perception Engineer to design and build the SLAM, state estimation, and computer vision our robots rely on in the field. You'll take perception algorithms from research to reliable, production-ready software, working alongside our robotics, controls, and systems engineers.  


This role is ideal for someone who enjoys bridging the gap between theory and deployment, turning academic algorithms into efficient, well-engineered systems. 


How leveling works This is one role, open at the Senior, Staff, or Lead level. The responsibilities below reflect the core of the role at every level. You don't need to decide which level fits you before applying. The selected candidate will be placed at the level commensurate with the skills, scope, and experience they demonstrate through the interview process, and the offer will align with that level. Senior and Staff are individual-contributor positions. Lead carries the same technical scope plus people-leadership responsibilities, for candidates who want them. 


What you'll do (all levels) 

  • Design and implement SLAM and localization systems (visual, visual-inertial, lidar, or multi-sensor) 
  • Develop and integrate computer vision pipelines for feature extraction, tracking, mapping, and scene understanding 
  • Implement and optimize estimation algorithms (filtering and optimization-based methods) 
  • Fuse data from cameras, IMUs, lidars, and depth sensors 
  • Evaluate perception performance using real-world data and metrics 
  • Optimize algorithms for real-time performance and robustness 
  • Collaborate with controls and planning teams to support downstream autonomy 
  • Maintain clean, well-tested, production-quality code 
  • Contribute to tooling, datasets, and evaluation frameworks 

Senior Perception Engineer  

  • Owns a defined technical area of the perception stack and delivers independently end to end 
  • Mentors less-experienced engineers 
  • Track record of shipping perception software to real systems 

Staff Perception Engineer  

  • Drives technical direction and architecture across the team's area 
  • Sets engineering standards and multiplies the output of others 
  • Demonstrated influence beyond their own deliverables, across teams or an entire perception stack 

Lead Perception Engineer  

  • Staff-level technical scope plus people-leadership responsibilities: direct reports, hiring, performance, and team planning 
  • Demonstrated ability to grow engineers and run a healthy, productive team 

Requirements

Required qualifications (all levels) 

  • Master's degree in Robotics, Computer Science, Electrical Engineering, or a related field, plus 2+ years of relevant work experience; OR a PhD in a related field. 
  • A strong background in robotics perception or computer vision, with hands-on experience implementing SLAM or localization in real systems. We weigh what you've built and shipped over where your degree is from. An advanced degree in Robotics, CS, EE, or a related field is one path in. Equivalent industry experience is another, and just as welcome. 
  • Solid understanding of 3D geometry and coordinate transformations, camera models and calibration, feature-based and/or direct visual methods, and probabilistic state estimation 
  • Proficiency in C++ and/or Python 
  • Experience working in Linux environments 
  • Familiarity with robotics software stacks such as ROS / ROS 2 
  • Strong debugging and data analysis skills 

Preferred qualifications 

  • Experience with SLAM frameworks such as ORB-SLAM, VINS, Cartographer, or GTSAM 
  • Lidar-based perception and mapping 
  • Familiarity with deep learning perception models 
  • Experience deploying perception systems on real robots 
  • GPU acceleration (CUDA, OpenCL) 
  • Dataset curation and annotation 
  • A graduate degree, or publications and research in robotics or computer vision 

What we offer 

  • Work on cutting-edge robotics perception problems with real-world constraints 
  • The opportunity to own and evolve core autonomy components 
  • A collaborative, engineering-driven team culture 
  • Access to real robots, real data, and real impact 
  • The anticipated starting base salary for this position is $140,000 to $185,000 per year, placed by level as described above 

Location  

Philadelphia, PA. This is a full-time, on-site role. No remote candidates will be considered at this time.  


Travel  

None required, though domestic and international opportunities exist for engineers who want field exposure.  


Compensation  

Competitive base salary, full benefits, and a highly motivating equity incentive package. Flexible time off policy. We focus on output, impact, and the ability to work alongside a stellar interdisciplinary team.  


Additional Information  

Clear standard background checks are required pre-hire, post-hire, and at any time during employment. Permanent U.S. residency is required.