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Flexible Remote Image Annotation Jobs in California

Planet

Visiting Staff Scientist

San Francisco, CA · On-site +1

... and reduce the annotation burden for time-sensitive mapping tasks. * Academic & Technical ... Deep Domain Expertise: 12+ years of experience in remote sensing and satellite image analysis, with ...

Saga

Senior AI Engineer

Los Altos, CA · On-site +1

$123K - $169K/yr

We offer a flexible, remote working environment. You can expect a warm welcome from a friendly and ... Experience with multi-modal AI (voice, image, video generation or processing) * Familiarity with ...

Saga

Senior AI Engineer

Los Altos, CA · On-site +1

$123K - $169K/yr

We offer a flexible, remote working environment. You can expect a warm welcome from a friendly and ... Experience with multi-modal AI (voice, image, video generation or processing) * Familiarity with ...

INSPYR Solutions

Attorney - CA - remote

Pasadena, CA · On-site +1

Ability to be flexible to adapt and act quickly when urgent matters require it * Ability to work ... Ability to represent the company in various forums to foster the desires and image of the company ...

Conception

Job Type: Part-Time Remote, Evenings and Weekends About the Position: We are seeking a dedicated ... While the timing of the setup is flexible on these days, it is crucial that the scans run overnight.

Troveo AI Inc

Technical Product Manager

San Francisco, CA · On-site +1

$140K - $180K/yr

... annotation, and downstream delivery. * Help design processing pipelines and logic tailored to ... Flexible PTO & Paid Holidays : Unlimited PTO with encouragement to actually use it * Remote First ...

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All JobsImage Annotation JobsFlexible Remote Image Annotation JobsFlexible Remote Image Annotation Jobs in California

Flexible Remote Image Annotation information

What is flexible remote image annotation?

Flexible remote image annotation is a job where individuals label or tag elements within digital images from a remote location, often from home. This work is crucial for training artificial intelligence and machine learning models, particularly in fields like computer vision and autonomous vehicles. The 'flexible' aspect means workers can often set their own hours and choose tasks according to their availability. Image annotation tasks may include outlining objects, assigning categories, or describing visual content in images. Most positions require attention to detail and basic computer skills, but prior experience is not always necessary.

What are the key skills and qualifications needed to thrive as a Flexible Remote Image Annotation Specialist, and why are they important?

To thrive as a Flexible Remote Image Annotation Specialist, you need strong attention to detail, visual accuracy, and a basic understanding of image processing, often supported by a high school diploma or equivalent. Familiarity with annotation tools such as Labelbox, CVAT, or VIA, and sometimes experience with basic data entry platforms, is typically required. Excellent time management, communication skills, and the ability to work independently are valued soft skills for this remote role. These skills ensure high-quality, consistent data labeling essential for training reliable machine learning models and supporting AI development.

What are some common challenges faced in flexible remote image annotation roles and how can they be managed?

One common challenge in flexible remote image annotation is maintaining accuracy and consistency across large datasets, especially when guidelines are complex or images are ambiguous. Working independently can also make it harder to get immediate feedback or clarification. To manage these challenges, it’s important to regularly review annotation guidelines, participate in team check-ins or forums, and make use of quality assurance tools provided by the employer. Staying organized and communicating proactively with project leads can help ensure your work meets expectations and deadlines.

What is the difference between Flexible Remote Image Annotation vs Data Labeler?

AspectFlexible Remote Image AnnotationData Labeler
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote, flexible hoursRemote, flexible hours
Industry UsageAI, machine learning, computer visionAI, machine learning, data processing
Job FocusAnnotating images with labels, bounding boxes, segmentationLabeling data, categorizing images or text

Flexible Remote Image Annotation and Data Labeler roles both involve data processing tasks in AI and machine learning industries. While image annotation focuses on marking specific features within images, data labelers may work with various data types, including text and images. Both roles are remote, require similar skills, and serve the same industry needs, but image annotation emphasizes visual data precision.

What are the most commonly searched types of Remote Image Annotation jobs in California? The most popular types of Remote Image Annotation jobs in California are:
What are popular job titles related to Flexible Remote Image Annotation jobs in California? For Flexible Remote Image Annotation jobs in California, the most frequently searched job titles are:
What job categories do people searching Flexible Remote Image Annotation jobs in California look for? The top searched job categories for Flexible Remote Image Annotation jobs in California are:
What cities in California are hiring for Flexible Remote Image Annotation jobs? Cities in California with the most Flexible Remote Image Annotation job openings:
Flexible Remote Image Annotation jobs near you

Senior Manager, Image Science Engineer

L3HHCM20

Los Angeles, CA • On-site, Remote

$133K - $247K/yr

Other

Medical, Retirement, PTO

Posted 11 days ago

Job description

Job Title: Senior Manager, Image Science Engineering

Job Code: 40203

Job Location: Rochester, NY

Job Schedule: 9/80 (Every other Friday Off)

Job Description:

Leads a team of 15-25 engineers and scientists in the development of advanced image science, remote sensing, and data exploitation solutions. Provides technical leadership, mentorship, and oversight across image science activities including image formation, sensor phenomenology, calibration, algorithm development, image quality analysis, testing, integration, and sustainment. Responsible for staffing, talent development, training, and overall team leadership to meet business and program objectives. Manages departmental priorities, operating needs, and budgets, and works cross-functionally with software, systems, operations, and other engineering teams to deliver high-quality technical solutions. Drives continuous improvement in engineering processes, system performance, and technical execution while ensuring alignment with company goals, schedules, and customer requirements.

Essential Functions:

  • Lead and support Image Science personnel across multiple programs and technical efforts.
  • Provide functional oversight for image science activities including analysis, calibration, image quality, and algorithm support.
  • Partner with program leaders to align staffing, priorities, and technical resources with business needs.
  • Conduct performance reviews, provide coaching, and support employee development and retention.
  • Support recruiting, hiring, onboarding, and workforce planning for the Image Science function.
  • Contribute to proposal efforts, including technical input, staffing plans, and basis of estimates.
  • Support technical reviews, risk assessments, and root cause/corrective action activities.
  • Mentor team members and encourage knowledge sharing and skill development.

Qualifications:

  • Bachelor's degree in Engineering, Physics, Imaging Science, Remote Sensing, Applied Mathematics, or a related technical field and relevant experience, or an equivalent combination of education and experience
  • Experience in image science, remote sensing, electro-optical/infrared systems, sensor phenomenology, or related technical disciplines
  • Experience leading or managing technical teams, projects, or functional engineering groups
  • Knowledge of image science principles such as image quality analysis, calibration, validation, exploitation, or algorithm development
  • Ability to support multiple programs and balance staffing, technical priorities, and business needs
  • Experience working with cross-functional teams including systems, software, hardware, and program management
  • Strong communication, problem-solving, and organizational skills
  • Experience with performance management, coaching, mentoring, and employee development
  • ActiveTop SecretClearance with SCI or SCI eligibility 

Preferred Additional Skills:

  • Prior functional management experience in an engineering or scientific organization
  • Experience supporting proposal, capture, and business development activities, including staffing plans and basis of estimates
  • Experience with EO/IR imaging systems, ISR systems, geospatial imagery, or sensor data exploitation
  • Familiarity with image formation, phenomenology, modeling and simulation, or calibration methodologies
  • Experience supporting root cause investigations and corrective action efforts for technical or program issues
  • Knowledge of engineering processes, technical reviews, and lifecycle development activities
  • Experience working in a defense, aerospace, or government-contractor environment

In compliance with pay transparency requirements, the salary range for this role in the state of New York is $133,000-$247,000. This is not a guarantee of compensation or salary, as final offer amount may vary based on factors including but not limited to experience and geographic location. L3Harris also offers a variety of benefits, including health and disability insurance, 401(k) match, flexible spending accounts, EAP, education assistance, parental leave, paid time off, and company-paid holidays. The specific programs and options available to an employee may vary depending on date of hire, schedule type, and the applicability of collective bargaining agreements.

The application window for this position will close on 9/24/2026.

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