Ensure consistency, accuracy, and attention to detail across high-volume annotation tasks ... Experience with AI image or video generation tools is a strong plus * Strong understanding of ...
New
Ensure consistency, accuracy, and attention to detail across high-volume annotation tasks ... Experience with AI image or video generation tools is a strong plus * Strong understanding of ...
New
Remote Video Annotation information
What are the key skills and qualifications needed to thrive as a Remote Video Annotation Specialist, and why are they important?
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 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 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 is the difference between Remote Video Annotation vs Remote Data Labeling?
| Aspect | Remote Video Annotation | Remote Data Labeling |
|---|---|---|
| Primary Focus | Annotating objects, actions, and events in videos | Labeling data across various formats, including images, text, and videos |
| Work Environment | Remote, often collaborative with video review tools | Remote, using labeling platforms for different data types |
| Required Skills | Attention to detail, understanding of video content | Accuracy, 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.
What are the most commonly searched types of Video Annotation jobs in Missouri? The most popular types of Video Annotation jobs in Missouri are:
What are popular job titles related to Remote Video Annotation jobs in Missouri? For Remote Video Annotation jobs in Missouri, the most frequently searched job titles are:
What job categories do people searching Remote Video Annotation jobs in Missouri look for? The top searched job categories for Remote Video Annotation jobs in Missouri are:
What cities in Missouri are hiring for Remote Video Annotation jobs? Cities in Missouri with the most Remote Video Annotation job openings:
Full-time
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Job description
Turing is an AI-powered tech services company with a mission to accelerate AGI advancement and deployment by bridging the gap between global talent from 100+ countries and the world's best foundational LLM companies, by helping them improve performance through model evaluation, fine-tuning, feedback, factuality and handling diverse data.
Role OverviewA US based AI company that is at the forefront of AI research is looking for a detail-oriented and analytically consistent Annotator to evaluate visual and creative content using structured rating frameworks and detailed guidelines.
In this role, you will assess AI-generated and real-world media (images and videos) for quality, realism, composition, and adherence to defined evaluation standards. Your work will directly contribute to improving cutting-edge AI systems.
This position requires strong visual judgment, structured reasoning, and consistency across high-volume evaluation tasks.
Job Responsibilities- Evaluate visual and media content using structured guidelines and predefined rating frameworks.
- Provide clear, well-structured written justifications to support evaluation decisions.
- Ensure consistency, accuracy, and attention to detail across high-volume annotation tasks.
- Identify quality gaps related to realism, composition, motion, lighting, and overall production standards.
- Media/agency experience strongly preferred
- Hands-on experience working directly with designers, photographers, or videographers (mandatory)
- Experience with AI image or video generation tools is a strong plus
- Strong understanding of motion realism, lighting, camera movement, composition, and production quality
- Strong analytical, logical reasoning, and research skills and excellent communication and collaboration abilities, with proficiency in English.
- Incorporate feedback from LLM performance metrics into training data creation.
- Ability to commit to 40 hours per week and candidates who can join immediately preferred.
- Bachelor’s degree or higher in: Design, Visual Communication, or Fine Arts
- Film, Media, Animation, or VFX
- Photography or Cinematography
- Architecture or Industrial Design
- Creative Writing or equivalent professional experience in content creation, media production, or content review.
- Opportunity to work on cutting-edge AI projects.
- Competitive compensation.
- Flexible working hours and remote work environment.
- Shortlisted candidates will complete an assessment.
- Successful candidates will be interviewed.
- Once the assessment is cleared, candidates can start.
After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile.
About turing
Sourced by ZipRecruiter
Industry
It services
Company size
51 - 200 Employees
Headquarters location
Palo Alto, CA, US
Year founded
2018