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Remote Video Annotation Jobs in California (NOW HIRING)

Los Gatos, CA, Los Angeles, CA, or Remote (within the US). Regular travel to Los Gatos and Los ... Strong portfolio of video creative demonstrating craft (composition, color, typography, etc) and ...

Los Gatos, CA, Los Angeles, CA, or Remote (within the US). Regular travel to Los Gatos and Los ... Strong portfolio of video creative demonstrating craft (composition, color, typography, etc) and ...

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?

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.

What are the most commonly searched types of Video Annotation jobs in California? The most popular types of Video Annotation jobs in California are:
What are popular job titles related to Remote Video Annotation jobs in California? For Remote Video Annotation jobs in California, the most frequently searched job titles are:
What job categories do people searching Remote Video Annotation jobs in California look for? The top searched job categories for Remote Video Annotation jobs in California are:
What cities in California are hiring for Remote Video Annotation jobs? Cities in California with the most Remote Video Annotation job openings:
Infographic showing various Remote Video Annotation job openings in California as of May 2026, with employment types broken down into 64% Full Time, 9% Part Time, 18% Temporary, and 9% Contract. Highlights an 100% Remote job distribution.
AI Tutor - Applied Math Specialist

AI Tutor - Applied Math Specialist

CloudDevs

Palo Alto, CA • On-site, Remote

$45/hr

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

Role Description Mercor is partnering with a leading AI research group to engage mathematics professionals in a high-impact project focused on training and refining cutting‐edge AI systems. AI Tutor – Applied Math Specialist will play a key role in advancing the development of advanced AI models by providing high‐quality inputs, labels, and annotations using specialized software. Key Responsibilities Collaborate with technical teams to train models on mathematical reasoning, problem‐solving, and discussions.

Refine annotation tools. Design challenging applied mathematics problems to enhance model performance. Contribute data in text, voice, and video formats, including annotations, audio recordings, or video sessions.

Use proprietary software to label, annotate, and evaluate AI‐generated outputs related to applied mathematics. Support the delivery of high‐quality curated data for model training. Collaborate with technical staff to train new AI tasks and contribute to the development of innovative tools and technologies.

Assist in improving the design of efficient annotation and feedback systems. Select and solve complex problems from applied mathematics fields such as probability, statistics, numerical analysis, optimization, operations research, dynamical systems, and data modeling. Interpret, analyze, and complete assignments based on evolving task instructions with precision and critical thinking.

Qualifications Master's degree or PhD in Mathematics with a specialization in applied mathematics. Alternatively, a medal in the International Mathematical Olympiad (IMO) or a similar international math competition. Strong proficiency in both informal and professional English communication.

Excellent analytical, research, and problem‐solving skills. Ability to work independently and apply sound judgment with limited guidance. Passion for technological innovation and the advancement of applied mathematics in AI development.

Preferred Qualifications PhD in Mathematics with a focus on applied mathematics. Peer‐reviewed publications in recognized applied math journals. Prior experience teaching mathematics or tutoring in academic or AI training contexts.

Requirements Location: Palo Alto, CA (in‐office, 5 days/week) or fully remote. Schedule: 9:00 am–5:30 pm PST for the first two weeks; then your local timezone thereafter. Requirements: Chromebook, Mac (macOS 11+), or Windows 10+ device; reliable smartphone access.

U.S. applicants: Must reside outside of Wyoming and Illinois. Visa sponsorship: Not available.

Compensation & Contract Terms $45–100/hour for U.S.-based professionals, depending on experience and location. International pay rates available upon request. Full‐ role.

Payments issued regularly for services rendered. Hourly pay is part of a broader rewards package; benefits vary by country. Application Process Submit your resume or CV to begin the process.

Complete a brief screening interview. If selected, you may be asked to complete a technical task or annotation exercise relevant to applied mathematics. #J-18808-Ljbffr