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Object Detection Jobs in California (NOW HIRING)

Apptronik

Senior Perception Learning Engineer

Sunnyvale, CA · On-site

$122K - $167K/yr

Responsibilities : • Lead the design, development, and optimization of perception pipelines for humanoid robots, including object detection, tracking, segmentation, pose estimation, and scene ...

Nastech Global

AI Researcher

Mountain View, CA · On-site

The role involves designing perception systems, developing vision-based algorithms for navigation, object detection, obstacle avoidance and collaborating with robotics engineers to deploy models for ...

Cesna Group

Computer Vision R&D Engineer

San Diego, CA · On-site

$100K - $200K/yr

... object detection, image processing, denoising, segmentation and metrology. * - Research, develop and employ machine learning algorithms for solving difficult and exciting challenges. * - Engineer ...

PlusAI

Research Engineer Intern

Santa Clara, CA · On-site

$19 - $65/hr

Build and validate a closed-loop "long-tail data engine" that improves generic-object detection on a curated long-tail benchmark. The project will first establish a measurable long-tail evaluation ...

PlusAI

Computer Vision Engineer Intern

Santa Clara, CA · On-site

$19 - $65/hr

Integrate reconstructed environments into our perception testing framework to stress-test object detection, tracking, and edge-case scenarios. Evaluate Multi-Modal Accuracy: Ensure alignment and ...

PlusAI

Computer Vision Engineer Intern

Santa Clara, CA · On-site

$19 - $65/hr

Integrate reconstructed environments into our perception testing framework to stress-test object detection, tracking, and edge-case scenarios. Evaluate Multi-Modal Accuracy: Ensure alignment and ...

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Showing results 21-40

All JobsObject Detection JobsObject Detection Jobs in California

Object Detection information

What is the difference between Object Detection vs Computer Vision Engineer?

AspectObject DetectionComputer Vision Engineer
Required CredentialsKnowledge of machine learning, deep learning, and computer vision frameworksSame as Object Detection, often with additional programming and software development skills
Work EnvironmentResearch labs, tech companies, AI startups focusing on image/video analysisBroader environments including robotics, autonomous vehicles, medical imaging, and multimedia
Industry UsagePrimarily in AI, robotics, surveillance, and autonomous systemsIn various sectors like automotive, healthcare, security, and entertainment

Object Detection specialists focus specifically on identifying and locating objects within images or videos, often using deep learning models. Computer Vision Engineers have a broader role, developing systems that interpret visual data, which includes object detection as one of their tasks. Both roles require similar skills and credentials but differ in scope and application.

What are popular job titles related to Object Detection jobs in California? For Object Detection jobs in California, the most frequently searched job titles are:
What job categories do people searching Object Detection jobs in California look for? The top searched job categories for Object Detection jobs in California are:
Object Detection jobs near you
Infographic showing various Object Detection job openings in California as of August 2026, with employment types broken down into 1% Internship, 74% Full Time, 20% Part Time, 2% Temporary, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution.

Data Annotator / Geospatial Annotation Specialist

Aechelon Technology

South San Francisco, CA

$82K - $92K/yr

Other

Medical, Dental, Vision, Life, Retirement

Re-posted 16 days ago

Job description

The Data Annotator / Geospatial Annotation Specialist plays a critical role in the creation of high-quality training datasets used to develop and refine Aechelon's machine learning and computer vision models. This role supports both the Advanced Model Development Group and the Applied Real-Time Vision Group, ensuring datasets for object detection, segmentation, and classification are accurate, consistent, and production-ready.
The Specialist performs detailed vector annotation, image segmentation, and dataset preparation while adhering to strict quality standards. Because model performance is highly dependent on high-quality annotation, this role requires exceptional attention to detail and a strong understanding of geospatial imagery.
In addition to dataset creation, the Specialist will learn core machine learning concepts and gain experience operating inference tools and models within the DAML pipeline, becoming a direct contributor to model evaluation and workflow improvements.

Key Responsibilities
  • Create precise vector annotations and segmentation masks for training computer vision and object detection models.
  • Perform detailed image segmentation, manually labeling features across large and varied imagery datasets.
  • Follow established annotation guidelines and maintain consistency across global AOIs.
  • Validate and refine automated detection outputs; correct errors or incomplete detections.
  • Work with ML team to understand annotation needs, edge cases, and quality thresholds.
  • Learn how to operate model inference tools and assist in evaluating model performance.
  • Provide feedback on false positives/negatives, detection weaknesses, and annotation ambiguities.
  • Maintain structured documentation of annotation processes, datasets, feature definitions, and QA results.
  • Support improvements to dataset pipelines and annotation workflows through iterative refinement and testing.
  • Assist multiple DAML groups as needed, depending on dataset demands and model development cycles.
Required Qualifications
  • Background in GIS, Remote Sensing, Image Analysis, Digital Art, Photography, or related field (degree preferred but not required with strong experience).
  • Prior experience with image annotation, data labeling, GIS feature extraction, or segmentation workflows.
  • Ability to visually identify subtle features in imagery with extreme precision.
  • Strong analytical, organizational, and documentation skills.
  • Ability to work with large datasets for extended periods while maintaining accuracy and focus.
Required Skills and Tools
  • Adobe Photoshop (Advanced): Expertise in mask creation, polygon tracing, color differentiation, clean-up workflows, and segmentation editing.
  • GIS Tools (Intermediate+): Ability to work in QGIS, ERDAS Imagine, or Global Mapper for spatial visualization and annotation support.
  • Geospatial Data Handling: Ability to work with shapefiles, GeoPackages, raster datasets, and other formats used in ML workflows.
  • Python (Basic-Intermediate): Ability to run scripts, perform data checks, and assist with pre-processing tasks.
  • Documentation Tools: Proficiency using Jupyter Notebook and Git for tracking annotation notes and revisions.

Strongly Desired Skills and Tools

  • Experience creating training datasets for machine learning, object detection, or image segmentation models.
  • Familiarity with YOLO, PyTorch, or fast.ai (conceptual knowledge acceptable).
  • Ability to create simple scripts to automate annotation steps or pre-processing tasks.
  • Experience using ChatGPT or other LLMs to improve workflows, generate helper scripts, or automate documentation.
  • Understanding of geospatial features such as vegetation, buildings, vehicles, aircraft, or other runtime elements.
Reporting Expectations

The Specialist reports jointly to managers in the Advanced Model Development and Applied Real-Time Vision groups depending on project assignment. Regular updates are expected on dataset progress, annotation quality, workflow blockers, and model evaluation findings. The Specialist is expected to meet annotation quotas while maintaining strict accuracy and quality standards.

Compensation

$82,000 - 92,000 / year 

The above range is specific to CALIFORNIA and may not be applicable to other locations. Final compensation is based on factors such as the candidate's skills, qualifications, and experience. 

 We offer a very attractive compensation package including competitive base salary, company performance-based profit sharing, 401k, 100% employer paid health benefits (medical, dental, vision, life, std, ltd, and life insurance plans). 

No relocation reimbursement provided. 

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