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Remote Video Annotation Jobs (NOW HIRING)

Weekday AI

Computer Vision Expert

$80 - $110/hr

This is a part-time, fully remote opportunity requiring approximately 20 hours per week ... Image and Video Generation * Develop high-quality reference solutions and integrate tasks into ...

The Pennsylvania State University

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... Previous experience with data analysis or annotation at any level You will work up to 20 hours/week ...

LMI

Multimedia Developer

This is a remote position supporting the development and modernization of training content for VA ... The position will combine video production, audio editing, screen capture, graphics development ...

LMI

Multimedia Developer

This is a remote position supporting the development and modernization of training content for VA ... The position will combine video production, audio editing, screen capture, graphics development ...

Amplify Education, Inc.

Virtual Math Tutor

$18/hr

... via video. Proficiency with virtual math manipulatives and on-screen annotation tools is essential for modeling concepts. Location : This is a remote part-time position. All candidates must be ...

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Remote Video Annotation information

See salary details

$38K

$75.5K

$129K

How much do remote video annotation jobs pay per year?

As of Aug 22, 2026, the average yearly pay for remote video annotation in the United States is $75,498.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,000.00 and $87,500.00 per year, depending on experience, location, and employer.

What is remote video annotation?

Remote video annotation is the process of labeling or tagging objects, actions, or events in video footage while working from a location outside of a traditional office, typically from home. Annotators use specialized software tools to draw boxes, create masks, or assign labels to specific frames or sequences in videos. This annotated data is essential for training and improving computer vision models used in applications like self-driving cars, security systems, and entertainment technology. Remote video annotation jobs offer flexibility, but often require attention to detail, strong computer skills, and the ability to follow detailed guidelines.

What are the typical daily tasks and challenges faced by a remote video annotation specialist?

As a Remote Video Annotation specialist, your daily tasks typically include reviewing video footage, accurately labeling objects or actions according to specific guidelines, and ensuring data consistency for machine learning projects. One common challenge is maintaining high attention to detail over long periods, as precise annotations are crucial for training effective AI models. Additionally, you'll often collaborate with project managers or quality assurance teams to clarify requirements, discuss edge cases, and receive feedback. Flexibility and good time management are important, as workloads can vary based on project deadlines and client needs.

What are the key skills and qualifications needed to thrive as a remote video annotation specialist?

To excel as a Remote Video Annotation Specialist, you need strong attention to detail, visual accuracy, and basic computer literacy, often supported by prior experience in data labeling or related fields. Familiarity with annotation platforms (such as CVAT or Labelbox) and understanding of video formats and metadata are typically required. Effective time management, reliability, and clear communication help specialists meet deadlines and collaborate remotely. These skills ensure precise data labeling, which is crucial for training high-performing AI and machine learning models.

What is the difference between Remote Video Annotation vs Remote Data Labeling?

AspectRemote Video AnnotationRemote Data Labeling
Primary FocusAnnotating objects, actions, and events in videosLabeling data across various formats, including images, text, and videos
Work EnvironmentRemote, often collaborative with video review toolsRemote, using labeling platforms for different data types
Required SkillsAttention to detail, understanding of video contentAccuracy, familiarity with labeling tools

Remote Video Annotation specifically involves marking objects and actions within videos, while Remote Data Labeling covers a broader range of data types, including images and text. Both roles require attention to detail and remote work skills, but Video Annotation focuses on video content analysis, making it more specialized within the data labeling industry.

More about Remote Video Annotation jobs

What cities are hiring for Remote Video Annotation jobs?

Cities with the most Remote Video Annotation job openings:

What are the most commonly searched types of Video Annotation jobs?

The most popular types of Video Annotation jobs are:

What states have the most Remote Video Annotation jobs?

States with the most job openings for Remote Video Annotation jobs include:

What job categories do people searching Remote Video Annotation jobs look for?

The top searched job categories for Remote Video Annotation jobs are:

Remote Video Annotation jobs near you
Infographic showing various Remote Video Annotation job openings in the United States as of August 2026, with employment types broken down into 37% Full Time, 18% Part Time, 18% Temporary, and 27% Contract. Highlights an 100% Remote job distribution, with an average salary of $75,498 per year, or $36.3 per hour.

Computer Vision Expert

Weekday AI

Remote

$80 - $110/hr

Part-time

Posted 24 days ago

Job description

This role is for one of our clients
Compensation: $80-$110 per hour
Join a cutting-edge AI research initiative and help shape the next generation of frontier AI models. We are seeking experienced Computer Vision Experts to serve as subject matter experts, designing challenging real-world vision tasks, creating high-quality reference solutions, and evaluating AI model performance. Your work will directly improve AI systems by identifying reasoning gaps and advancing their capabilities across a wide range of computer vision applications.
This is a part-time, fully remote opportunity requiring approximately 20 hours per week.
Requirements
Key Responsibilities
  • Design challenging, real-world computer vision tasks across domains such as:
    • Object Detection
    • Image Segmentation
    • Object Recognition
    • Vision-Language & Multimodal Reasoning
    • Image and Video Generation
  • Develop high-quality reference solutions and integrate tasks into agentic development environments using Python.
  • Build executable evaluation components and testing frameworks where applicable.
  • Assess AI model outputs for accuracy, reasoning quality, and technical correctness.
  • Identify capability gaps, classify failure modes, and provide detailed written analyses of model behavior.
  • Develop evaluation guidelines and structured rubrics to ensure consistent and objective assessment.
  • Collaborate with fellow subject matter experts to maintain high-quality training data and evaluation standards.
Required Qualifications
  • Deep hands-on experience in Computer Vision through industry, research, or graduate/PhD-level work.
  • Strong proficiency in Python with practical experience developing computer vision applications.
  • Expertise in modern computer vision techniques, including deep learning architectures and model evaluation.
  • Hands-on experience with frameworks such as PyTorch, TensorFlow, or similar computer vision libraries.
  • Solid understanding of computer vision workflows, model training, evaluation metrics, and optimization techniques.
  • Ability to commit approximately 20 hours per week.
  • Excellent written communication skills and the ability to work independently in a remote environment.
Preferred Qualifications
  • Experience in AI model evaluation, AI training data development, or data annotation.
  • Familiarity with multimodal AI systems, vision-language models, or generative AI applications.
  • Experience developing evaluation pipelines, automated testing frameworks, or benchmarking tools.
  • Contributions to open-source computer vision projects or published research are a plus.
  • Experience with large-scale production computer vision systems.
Role Details
  • Employment Type: Independent Contractor
  • Work Arrangement: Fully Remote
  • Schedule: Approximately 20 hours per week
  • Project Duration: Based on project requirements and performance, with opportunities for extension
Equal Opportunity
We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request.
Contract & Payment Terms
  • You will be engaged as an independent contractor.
  • This is a fully remote role that can be completed on your own schedule.
  • Projects may be extended, shortened, or concluded early based on business needs and performance.
  • Your work will not involve access to confidential or proprietary information from any employer, client, or institution.
  • Payments are made weekly via Stripe or Wise based on services rendered.
  • Please note: We are unable to support H1-B or STEM OPT candidates at this time.

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