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Full Time Map Annotation information

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$33

$56

How much do full time map annotation jobs pay per hour?

As of Jun 27, 2026, the average hourly pay for full time map annotation in the United States is $33.43, according to ZipRecruiter salary data. Most workers in this role earn between $25.24 and $36.54 per hour, depending on experience, location, and employer.

What is the difference between Full Time Map Annotation vs Full Time Data Labeling?

AspectFull Time Map AnnotationFull Time Data Labeling
Primary FocusAnnotating geographic features on mapsLabeling data across various formats (images, text, audio)
Work EnvironmentGIS platforms, mapping softwareData annotation tools, labeling platforms
Required SkillsGIS knowledge, attention to geographic detailData tagging, accuracy, and consistency
Industry UsageMapping, autonomous vehicles, urban planningAI training, machine learning datasets

Full Time Map Annotation involves annotating geographic features on maps, often requiring GIS skills and working within mapping software. In contrast, Full Time Data Labeling covers a broader range of data types, focusing on labeling data for AI and machine learning. Both roles are essential in data-driven industries but differ in their specific focus and tools used.

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What cities are hiring for Full Time Map Annotation jobs? Cities with the most Full Time Map Annotation job openings:
What are the most commonly searched types of Map Annotation jobs? The most popular types of Map Annotation jobs are:
What states have the most Full Time Map Annotation jobs? States with the most job openings for Full Time Map Annotation jobs include:
What job categories do people searching Full Time Map Annotation jobs look for? The top searched job categories for Full Time Map Annotation jobs are:
Full Time Map Annotation jobs near you
Infographic showing various Full Time Map Annotation job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 80% In-person, and 20% Hybrid job distribution, with an average salary of $69,528 per year, or $33.4 per hour.
Staff Perception Engineer - Robotics

Staff Perception Engineer - Robotics

Knightscope, Inc.

Sunnyvale, CA • On-site

$240K - $275K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 16 days ago

Job description

AboutKnightscope
Knightscope is a security technology company building the Nation's First Autonomous Security Force. The Company combines autonomous machines, advanced software, and human expertise to help protect people, property, and critical infrastructure. Knightscope's long-term mission is to make the United States of America the safest country in the world.
About the Role
In this role, you will own the full perception stack for our autonomous security robot platform, from raw LiDAR, camera, and thermal sensor data through 3D object detection, scene understanding, and persistent entity tracking. You will be a technical lead working across robotics, ML, and systems engineering to ship production-grade perception capabilities that power real-time threat detection, incident correlation, and evidence capture in the field.
Location Requirement: Full-time, on-site at Sunnyvale HQ (No relocation provided)
Key Responsibilities
  • Design, train, and deploy 3D perception models, object detection, segmentation, and multi-object tracking, from multi-modal sensor data (LiDAR, camera, thermal, radar) using state-of-the-art BEV and transformer-based architectures.
  • Own the end-to-end ML pipeline from large-scale data curation and annotation strategy through model training, optimization (TensorRT/CUDA), and real-time onboard deployment on edge compute.
  • Build persistent cross-sensor identity: the same person, vehicle, or license plate maintains a stable track across camera handoffs, patrol legs, and time, feeding entity correlation and incident generation downstream.
  • Design and implement evidence-first capture: pre/post-event clips, full-frame and crop media, and structured detection output that is replay-safe and analyst-ready.
  • Explore and integrate Vision-Language Models (VLMs) to enrich detection outputs with scene narration, anomaly reasoning, and long-tail incident understanding, moving K7 beyond bounding boxes toward analyst-ready scene descriptions.
  • Drive technical decisions on architecture, data strategy, and roadmap; mentor engineers across the team.
  • Design and run rigorous offline and closed-loop evaluations; define metrics for safety-critical perception performance across diverse real-world deployment environments.

Required Qualifications
  • 7+ years of hands-on experience at an OEM, AV company, physical security platform, or robotics tech company shipping perception software to production.
  • Deep expertise in 3D computer vision: LiDAR/camera 3D object detection, point cloud processing, multi-view geometry, and sensor fusion.
  • Strong ML fundamentals, CNNs, Transformers, multi-task architectures, with production deployment experience (TensorRT, ONNX, CUDA optimization).
  • Fluency in C++ (real-time systems) and Python; experience with ROS2 and simulation environments (CARLA, Isaac).
  • Production-first mindset demonstrated ability to take models from research to deployed, real-world systems operating under real operational constraints.

Preferred Qualifications
  • Exposure to vision-language models (VLMs): fine-tuning, prompting, or integrating VLM outputs into a perception pipeline for scene understanding or anomaly narration.
  • Familiarity with Vision-Language-Action (VLA) or end-to-end policy models that map sensor observations directly to robot actions, and interest in applying these to active confirmation and repositioning behaviors.
  • Experience with ALPR, face recognition, or ReID systems in deployed security or automotive contexts.
  • Familiarity with evidence integrity, chain-of-custody media, or tamper-evident capture pipelines.
  • Publications or open-source contributions in 3D CV, embodied AI, or autonomous systems.
  • MS or PhD in Computer Science, Robotics, Electrical Engineering, or related field.

Compensation & Benefits
  • Base Salary: $240,000 to $275,000 (DOE)
  • Equity: Stock options
  • Benefits: Medical, dental, vision, 401(k), paid time off
  • Location Requirement: Full-time, on-site at Sunnyvale HQ

Apply