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Ai Annotation Remote Jobs in Princeton, NJ (NOW HIRING)

Remote Job Overview We are seeking experienced English Language Experts to support a high-impact AI ... Previous experience in AI data training, annotation, editorial QA, localization QA, or professional ...

Medical Coder - Remote

New York, NY ยท Remote

$50 - $80/hr

No prior AI experience is required--your coding expertise and attention to detail are what matter ... Familiarity with digital annotation tools or healthcare data projects is a plus. * Commitment to ...

Remote Job Overview We are seeking experienced Korean Language Experts to contribute their ... annotation processes. * Help develop language guidelines and resources tailored to AI training and ...

Healthcare Attorney - Remote

New York, NY ยท Remote

$140 - $400/hr

No prior AI experience is required--your healthcare legal expertise, regulatory knowledge, and ... Legal Document Review & Annotation * Policy Analysis * Contract Drafting * U.S. Healthcare ...

Korean Language Expert

New York, NY ยท Remote

$65 - $100/hr

Remote Job Overview We are seeking experienced Korean Language Experts to contribute their ... annotation processes. * Help develop language guidelines and resources tailored to AI training and ...

Showing results 21-40

Ai Annotation Remote information

See Princeton, NJ salary details

$87.5K

$133.2K

$179.3K

How much do ai annotation remote jobs pay per year?

As of Sep 5, 2026, the average yearly pay for ai annotation remote in Princeton, NJ is $133,163.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,300.00 and $150,400.00 per year, depending on experience, location, and employer.

What is an AI annotation remote job?

AI Annotation Remote jobs involve labeling, categorizing, or tagging data such as images, videos, text, or audio to train artificial intelligence and machine learning models. These tasks are typically performed from home using a computer and specialized annotation tools provided by employers or platforms. The work helps improve the accuracy of AI systems in areas like speech recognition, computer vision, and natural language processing. It is common for these positions to be part-time or contract-based, and attention to detail is essential for success in this field.

What are the key skills and qualifications needed to thrive as an AI annotation remote worker?

To thrive as an AI Annotation Remote Worker, you need strong attention to detail, data labeling accuracy, and familiarity with basic computer operations, often supported by a high school diploma or higher. Experience with annotation platforms, image/video labeling tools, and understanding of data privacy protocols are typically required. Excellent communication, time management, and the ability to follow detailed instructions help individuals excel in this role. These skills ensure high-quality, precise data labeling that directly impacts the effectiveness of AI models.

What are the most common challenges faced by remote AI annotation specialists, and how can they be effectively managed?

Remote AI annotation specialists often encounter challenges such as maintaining consistent data quality, managing repetitive tasks, and communicating effectively with geographically dispersed teams. To overcome these issues, it's important to establish clear annotation guidelines, participate in regular team check-ins, and use collaboration tools for feedback and support. Utilizing productivity techniques and taking scheduled breaks can also help maintain focus and accuracy throughout the workday.

What is the difference between Ai Annotation Remote vs Data Labeler?

AspectAi Annotation RemoteData Labeler
Required CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote, flexible hoursRemote or on-site, flexible hours
Industry UsageAI development, machine learning projectsData preparation, machine learning datasets
Search & Comparison IntentOften compared for entry-level AI data tasksRelated role for data preparation tasks

Ai Annotation Remote and Data Labeler roles share similar requirements and work environments, focusing on data annotation for AI systems. However, Ai Annotation Remote often emphasizes more specialized tasks within AI development, while Data Labeler roles may include broader data preparation activities. Both are suitable for remote work and require attention to detail, making them popular choices for those entering the AI industry.

What cities near Princeton, NJ are hiring for Ai Annotation Remote jobs?

Cities near Princeton, NJ with the most Ai Annotation Remote job openings:

Graphic Designer Expert - Remote

YO AI Labs

New York, NY โ€ข Remote

Full-time

Posted 9 days ago


Job description

Graphic Designer – Editorial, Poster & Marketing Layout

Role Type: Contractor
Location: Remote

Role Summary

We are seeking experienced Graphic Designers specializing in editorial, poster, and marketing layouts to support a design analysis and annotation project. You'll use your expertise in typography, composition, visual hierarchy, and design systems to analyze and structure real-world creative assets for AI training.

Scope of Work
  • Annotate editorial, poster, marketing, and short video assets using precise design terminology.
  • Analyze layouts, typography, hierarchy, grids, geometry, and visual composition.
  • Create high-quality exemplar annotations and identify ambiguous or complex design cases.
  • Help improve annotation guidelines and maintain quality standards.
  • Use Figma, Adobe Creative Suite, and similar tools to review and process design files.
  • Apply knowledge of visual composition, framing, movement, and design principles to relevant video assets.
Required Skills
  • Typography
  • Layout & Grid Systems
  • Brand & Template Systems
  • Adobe/Figma Production Flow
  • Design Evaluation
  • Strong written English and visual communication skills
Preferred Qualifications
  • 3–5+ years of experience in graphic, editorial, visual/brand, print, or marketing design.
  • Strong portfolio demonstrating typography, layout, color, and visual hierarchy.
  • Proficiency in Figma, Adobe Creative Suite, Canva, or equivalent tools.
  • Ability to clearly explain and document design concepts.
  • Background in editorial, poster, marketing, motion, or video design is a plus.
  • Degree in Graphic Design, Visual Communication, Fine Arts, or equivalent professional experience.