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Live In Image Annotation Jobs in San Jose, CA (NOW HIRING)

... in image/video generation and image/video editing Experience on large-scale generative model ... The use of AI or recording tools during live interviews is not permitted unless explicitly invited ...

Senior Research Scientist

San Jose, CA · On-site

$164K - $313K/yr

... in image/video generation and image/video editing Experience on large-scale generative model ... The use of AI or recording tools during live interviews is not permitted unless explicitly invited ...

Research Scientist

San Francisco, CA · On-site

$120K - $238K/yr

... in image/video generation and image/video editing Experience on large-scale generative model ... The use of AI or recording tools during live interviews is not permitted unless explicitly invited ...

Staff Data Scientist

San Francisco, CA · Hybrid

$220K - $280K/yr

Data Campaigns and Annotation Strategy: Introduce best practices and efficient processes to enable ... Image Analysis in industry. Have a wealth of experience from working on complex, real-world AI ...

... image, audio, video, and 3D data. • Work closely with data engineering and research teams to ... annotation, and OTS datasets. Founded in 2021, the company is headquartered in Palo Alto, USA, with ...

Data Operations Engineer

Mountain View, CA · On-site

$136K - $163K/yr

... image, video, audio, or 3D). • Familiarity with data annotation, labeling workflows, or dataset preparation for machine learning. • Experience working with international teams, particularly in ...

Data Operations Engineer

Mountain View, CA · On-site

$136K - $163K/yr

... image, video, audio, or 3D). • Familiarity with data annotation, labeling workflows, or dataset preparation for machine learning. • Experience working with international teams, particularly in ...

... image, audio, video, and 3D data. • Work closely with data engineering and research teams to ... annotation, and OTS datasets. Founded in 2021, the company is headquartered in Palo Alto, USA, with ...

Data Operations Engineer

Mountain View, CA · On-site

$136K - $163K/yr

... image, video, audio, or 3D). • Familiarity with data annotation, labeling workflows, or dataset preparation for machine learning. • Experience working with international teams, particularly in ...

Staff Data Scientist

San Francisco, CA · On-site

$220K - $280K/yr

Data Campaigns and Annotation Strategy: Introduce best practices and efficient processes to enable ... Image Analysis in industry. Have a wealth of experience from working on complex, real-world AI ...

Staff Data Scientist

San Francisco, CA · On-site

$220K - $280K/yr

Data Campaigns and Annotation Strategy: Introduce best practices and efficient processes to enable ... Image Analysis in industry. Have a wealth of experience from working on complex, real-world AI ...

Staff Data Scientist

San Francisco, CA · On-site

$220 - $280/hr

Data Campaigns and Annotation Strategy: Introduce best practices and efficient processes to enable ... Image Analysis in industry. Have a wealth of experience from working on complex, real-world AI ...

Showing results 21-40

Live In Image Annotation information

What is a live in image annotation?

A Live In Image Annotation job involves residing at a particular location or facility and performing the task of labeling or tagging objects, features, or data within digital images. This work is usually part of larger projects in fields like artificial intelligence, machine learning, or computer vision, where accurately annotated images are crucial for training algorithms. The job may require familiarity with specialized software tools and a keen attention to detail. Annotators play a critical role in helping computers 'see' and understand images by providing clear and consistent labels. Often, these positions are found in research centers, data collection facilities, or companies specializing in AI development.

What are the key skills and qualifications needed to thrive as a live in image annotation specialist?

To thrive as a Live In Image Annotation Specialist, you need strong attention to detail, proficiency in visual analysis, and a basic understanding of data labeling processes, typically supported by a high school diploma or equivalent. Familiarity with annotation tools like Labelbox, CVAT, or Supervisely, and sometimes basic coding knowledge, is often required. Excellent communication, time management, and adaptability are key soft skills for collaborating and meeting project deadlines. These competencies ensure accurate, high-quality data labeling, which is crucial for training reliable machine learning models.

What are some of the common challenges faced by live in image annotation professionals, and how can they be addressed?

Live In Image Annotation professionals often encounter challenges such as maintaining high accuracy while working with large volumes of data, meeting tight deadlines, and handling ambiguous images that require careful judgment. To address these challenges, it's important to stay organized, regularly communicate with team members and project managers, and utilize annotation tools efficiently. Ongoing training and feedback can also help improve both speed and precision, ensuring the quality of annotated data meets industry standards.

What is the difference between Live In Image Annotation vs Image Labeling Specialist?

AspectLive In Image AnnotationImage Labeling Specialist
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentOn-site or remote, often in a dedicated workspaceRemote or on-site, flexible environment
Industry UsageAI training, autonomous vehicles, surveillanceData annotation for machine learning, AI models
Job FocusReal-time annotation, often involving live video or imagesBatch annotation, static images

Live In Image Annotation involves real-time, often on-site annotation of images or videos, suitable for applications like autonomous driving or surveillance. In contrast, Image Labeling Specialists typically perform batch annotation of static images for training AI models, often remotely. Both roles require attention to detail and basic technical skills but differ mainly in real-time versus batch work and work environment.

What are the most commonly searched types of Image Annotation jobs in San Jose, CA?

The most popular types of Image Annotation jobs in San Jose, CA are:

What job categories do people searching Live In Image Annotation jobs in San Jose, CA look for?

The top searched job categories for Live In Image Annotation jobs in San Jose, CA are:

What cities near San Jose, CA are hiring for Live In Image Annotation jobs?

Cities near San Jose, CA with the most Live In Image Annotation job openings:

Senior Research Scientist

Adobe

San Francisco, CA • On-site

$164K - $313K/yr

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.


Adobe rating

8.9

Company rating: 8.9 out of 10

Based on 10 frontline employees who took The Breakroom Quiz

39th of 245 rated software companies


Job description

The Opportunity

Adobe Research is looking for research scientists in Generative AI to join a world-class research team. We welcome outstanding candidates at all levels (new graduates, experienced, principal) in all related technical fields, such as Machine Learning, Deep Learning, Computer Vision, Computer Graphics, and Natural Language Processing. The related applications include image/video generation, image/video editing, image/video understanding, large language models, and multimodal foundation models.


What You'll Do

Conduct cutting-edge research and development in Generative AI

Develop and transfer novel technologies to Adobe products

Research and develop novel large-scale foundation models in Generative AI

Collaborate with world-class researchers and engineers to bring research ideas to production

Publish and present your work in world-class scientific venues in AI/ML fields

Provide technical mentorship and guidance.

Required Qualifications

Ph.D. in Computer Science, AI/ML or related fields

Excellent publication record in Computer Science, AI/ML or related fields

Excellent communication skills and a strong team player


What You'll Bring

Experience in state-of-the-art Generative AI technologies, such as diffusion models

Strong publication record in image/video generation and image/video editing

Experience on large-scale generative model training

Experience of working with large-scale datasets

Experience of working with product teams on technology transfers

About Adobe

Adobe empowers everyone to create through innovative platforms and tools that unleash creativity, productivity and personalized customer experiences. Adobe's industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity.

Our 30,000+ employees worldwide are creating the future and raising the bar as we drive the next decade of growth. We're on a mission to hire the very best and believe in creating a company culture where all employees are empowered to make an impact. At Adobe, we believe that great ideas can come from anywhere in the organization. The next big idea could be yours.


Let's Adobe together

At Adobe, we believe in creating a company culture where all employees are empowered to make an impact. Learn more about Adobe life, including our values and culture, focus on people, purpose and community, Adobe for All, comprehensive benefits programs, the stories we tell, the customers we serve, and how you can help us advance our mission of empowering everyone to create.

Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other protected characteristic. Learn more.

Adobe aims to make our Careers website and recruiting process accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call +1 408-536-3015.

AI Use Guidelines for Interviews:
Our interviews are designed to reflect your own skills and thinking. The use of AI or recording tools during live interviews is not permitted unless explicitly invited by the interviewer or approved in advance as part of a reasonable accommodation. If these tools are used inappropriately or in a way that misrepresents your work, your application may not move forward in the process.

At Adobe, we empower employees to innovate with AI - and we look for candidates eager to do the same. As part of the hiring experience, we provide clear guidance on where AI is encouraged during the process and where it's restricted during live interviews. See how we think about AI in the hiring experience.

Expected Pay Range:

Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this positionis $164,600 -- $313,300 annually. Paywithin this range varies by work locationand may also depend on job-related knowledge, skills,and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process. In California, the pay range for this position is $216,400 - $313,300

At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP).

In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award.

State-Specific Notices:

California:

Fair Chance Ordinances

Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and "fair chance" ordinances.

Colorado:

Application Window Notice

If this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs.

Massachusetts:

Massachusetts Legal Notice

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.


What Adobe employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Adobe logo

About Adobe

Sourced by ZipRecruiter

Adobe for All is our vision to advance diversity, equity, and inclusion (DEI) across our company and in our communities. We’re focused on creating a more diverse and inclusive workforce; unleashing the full potential of every employee; and driving meaningful impact for Adobe, our industry, and society at large. Creativity has the power to unite us and inspire us to change the world. Through a vision we call Creativity for All, we’re empowering millions of people of all ages and backgrounds to express themselves, reach their full potential, and share their diverse perspectives with the world. We’re committed to advancing the responsible use of technology and driving a positive environmental impact through sustainability and climate action. Our innovations are making a significant impact across AI ethics, security, privacy, trust and safety, accessibility, and sustainability.

Industry

Computer and computer peripheral equipment and software wholesalers

Company size

10,000+ Employees

Headquarters location

San Jose, CA, US

Year founded

1982