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Live In Image Annotation Jobs in Washington (NOW HIRING)

Scale AI

Field Engineer, Public Sector

Washington, DC · On-site

... in areas of Large Language Models, 2D Image Annotation, and working with API integrations • Evangelize Scale and interact with customers at major events • Have an active TS/SCI clearance ...

Scale AI

Field Engineer, Public Sector

Washington, DC · On-site

... in areas of Large Language Models, 2D Image Annotation, and working with API integrations • Evangelize Scale and interact with customers at major events • Have an active TS/SCI clearance ...

BCC - LH

Subject Matter Expert- RxNav

Bethesda, MD · On-site

Knowledge and experience in biomedical informatics, image processing, and natural language ... Experience in content development and/or text annotation (e.g., annotation of certain types of ...

BCC - LH

Subject Matter Expert- RxNav

Bethesda, MD

Knowledge and experience in biomedical informatics, image processing, and natural language ... Experience in content development and/or text annotation (e.g., annotation of certain types of ...

aqua IT

AI/ML Engineer (Computer Vision)

Herndon, VA · On-site +1

Experience processing and augmenting image datasets at scale * 3+ years of experience with AWS ML ... Familiarity with data annotation platforms and active learning workflows for imagery * Experience ...

Varsity Tutors

High School Reading Tutor

Leesburg, VA · Remote

$40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... What We Look For In a High School Reading Tutor * Advanced Subject Mastery: Deep knowledge of ...

Varsity Tutors

High School Reading Tutor

Bowie, MD · Remote

$40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... What We Look For In a High School Reading Tutor * Advanced Subject Mastery: Deep knowledge of ...

Varsity Tutors

High School Reading Tutor

Fairfax, VA · Remote

$40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... What We Look For In a High School Reading Tutor * Advanced Subject Mastery: Deep knowledge of ...

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Live In Image Annotation information

What is a Live In Image Annotation job?

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 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 key skills and qualifications needed to thrive as a Live In Image Annotation Specialist, and why are they important?

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 the most commonly searched types of Image Annotation jobs in Washington? The most popular types of Image Annotation jobs in Washington are:
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What cities in Washington are hiring for Live In Image Annotation jobs? Cities in Washington with the most Live In Image Annotation job openings:
Live In Image Annotation jobs near you
Field Engineer, Public Sector

Field Engineer, Public Sector

Scale AI

Washington, DC • On-site

Full-time

Posted 15 days ago

Job description

Job Summary:
Scale AI is a company focused on bringing AI-enabled technologies to the world, working with top teams in autonomous driving and generative AI. They are seeking a Field Engineer to support federal AI projects, ensuring seamless customer experiences and building long-term partnerships by optimizing data pipelines and collaborating with engineering teams.
Responsibilities:
• Implement end-to-end data integrations, syncing customer’s data to Scale’s platform and back
• Work closely with our customer’s engineering teams to optimize data pipelines, including providing input towards designing API endpoints and input/output schemas
• Design, develop and maintain playbooks, internal tools, Scale’s documentation and SDKs to quickly get customers set up for long-term success
• Partner with Software Engineers and Operations to remove any technical hurdles customers may face / Debug technical issues impacting delivery and own technical escalations coming from the customer
• Be accountable for the customer’s technical experience throughout their time with Scale
• Work with AEs and PMs to identify customer-specific feature requests
• Develop technical domain expertise in areas of Large Language Models, 2D Image Annotation, and working with API integrations
• Evangelize Scale and interact with customers at major events
• Have an active TS/SCI clearance
Qualifications:
Required:
• Have an active TS/SCI clearance
• Implement end-to-end data integrations, syncing customer’s data to Scale’s platform and back
• Work closely with our customer’s engineering teams to optimize data pipelines, including providing input towards designing API endpoints and input/output schemas
• Design, develop and maintain playbooks, internal tools, Scale’s documentation and SDKs to quickly get customers set up for long-term success
• Partner with Software Engineers and Operations to remove any technical hurdles customers may face / Debug technical issues impacting delivery and own technical escalations coming from the customer
• Be accountable for the customer’s technical experience throughout their time with Scale
• Work with AEs and PMs to identify customer-specific feature requests
• Develop technical domain expertise in areas of Large Language Models, 2D Image Annotation, and working with API integrations
• Evangelize Scale and interact with customers at major events
• Track record of success as a hybrid customer-facing engineer or similar function, wearing multiple hats along the way
• Prior technical hands-on experience working with clients in a pre or post-sales capacity to realize business goals
• Prior experience developing with Python and JavaScript, or other modern software languages
• Strong engineering background preferably in Computer Science, Mathematics, or other quantitative fields
• Strong project management and interpersonal skills
• Presentation skills with a high degree of technical credibility when speaking with executives and front-line engineers
• High level of comfort communicating effectively across internal and external organizations
• Intellectual curiosity, empathy, and ability to operate with high velocity
Preferred:
• Experience in AI
• Experience working in classified environments
• Previous experience as a technical go-to-market resource
• Understanding of DevSecOps principles, including secure software delivery, infrastructure as code, and continuous integration/deployment
• Hands-on knowledge of container orchestration with Kubernetes and experience with Helm charts for application deployment
• Experience automating infrastructure and configuration management using Ansible or similar tools
Company:
Scale’s mission is to develop reliable AI systems for the world’s most important decisions. Founded in 2016, the company is headquartered in San Francisco, USA, with a team of 501-1000 employees. The company is currently Late Stage.

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