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Remote Video Labelling Jobs in California (NOW HIRING)

Bright Vision Technologies

AI Data Engineer

Newark, CA · Remote

$100K - $150K/yr

AI Data Engineer Location: 100% Remote (Continental United States) Position Type: In-house Bright ... Implement labeling workflows, active learning pipelines, and human-in-the-loop data improvement ...

Bright Vision Technologies

AI Data Engineer

Newark, CA · Remote

$100K - $150K/yr

AI Data Engineer Location: 100% Remote (Continental United States) Position Type: In-house Bright ... Implement labeling workflows, active learning pipelines, and human-in-the-loop data improvement ...

TEKsystems

Data Annotation Specialist

Menlo Park, CA · Remote

$20/hr

... video, audio). Attention to Detail High accuracy in labeling nuanced and borderline cases. Ability ... remote position. Application Deadline This position is anticipated to close on Jun 30, 2026. About ...

All JobsRemote Video Labelling JobsRemote Video Labelling Jobs in California

Remote Video Labelling information

How much are data labelers paid?

Data labelers, including those working remotely in video labeling roles, typically earn between $10 and $20 per hour depending on experience, complexity of tasks, and the company. Pay rates can vary based on the platform, project scope, and whether the work is freelance or full-time employment.

How can I make 2000 a week working from home?

Remote video labelling jobs can pay varying rates, often between $10 and $20 per hour, depending on the company and project complexity. To earn $2,000 weekly, you would need to work approximately 100 hours at these rates, which may require high-volume or premium projects, strong attention to detail, and efficient use of annotation tools. Building experience and a good reputation can help access higher-paying opportunities in this field.

What is remote video labelling?

Remote video labelling is the process of watching video footage and accurately annotating or tagging objects, actions, or events within the video, all while working from a remote location, usually from home. This work is essential for training machine learning and AI models, particularly in fields like autonomous vehicles, security, and content moderation. Video labellers use specialized software to mark frames and provide metadata that helps computers understand visual information. Attention to detail and consistency are crucial in this job to ensure high-quality labelled data.

What are the key skills and qualifications needed to thrive as a Remote Video Labelling Specialist, and why are they important?

To thrive as a Remote Video Labelling Specialist, attention to detail, basic computer proficiency, and a high school diploma or equivalent are generally required. Familiarity with annotation tools, video editing software, and data labeling platforms is typically expected, with some roles preferring experience in machine learning or data management systems. Strong time management, focus, and effective communication skills help individuals excel in independent, deadline-driven environments. These skills ensure accurate data labeling, which is crucial for training high-quality AI and machine learning models.

Is data labeling work from home?

Remote video labelling jobs are often performed from home, allowing workers to complete tasks using a computer and internet connection. These roles typically require attention to detail, familiarity with labeling tools, and a flexible schedule, making them suitable for remote work environments.

What is a video labeling job?

A video labeling job involves reviewing and annotating video content to help train machine learning algorithms. Workers typically use specialized tools to add tags, identify objects, or categorize scenes, often working remotely with flexible schedules. Accuracy and attention to detail are important for this type of data annotation work.

What are some common challenges faced by remote video labelling professionals, and how can they be managed?

Remote video labelling professionals often encounter challenges such as staying focused during repetitive tasks, ensuring accuracy when identifying subtle visual details, and managing communication with team members across different time zones. To address these, it's helpful to set up a distraction-free workspace, take regular breaks to maintain concentration, and use collaborative tools to stay connected with supervisors and peers. Additionally, following established labelling guidelines and participating in quality assurance sessions can help maintain consistency and accuracy in your work.

What is the difference between Remote Video Labelling vs Remote Image Annotation?

AspectRemote Video LabellingRemote Image Annotation
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote, flexible hoursRemote, flexible hours
Industry UsageAutonomous vehicles, surveillance, AI trainingObject detection, medical imaging, retail
Search & Comparison IntentUnderstanding differences in data labeling rolesUnderstanding differences in annotation tasks

Remote Video Labelling involves annotating video data frame-by-frame, often requiring temporal consistency, while Remote Image Annotation focuses on labeling individual images. Both roles are remote, require attention to detail, and are used in AI training across various industries. The main difference lies in the data type: videos versus images, with video labelling demanding more complex, time-sensitive annotations.

What are the most commonly searched types of Video Labelling jobs in California? The most popular types of Video Labelling jobs in California are:
What are popular job titles related to Remote Video Labelling jobs in California? For Remote Video Labelling jobs in California, the most frequently searched job titles are:
What job categories do people searching Remote Video Labelling jobs in California look for? The top searched job categories for Remote Video Labelling jobs in California are:
What cities in California are hiring for Remote Video Labelling jobs? Cities in California with the most Remote Video Labelling job openings:
Remote Video Labelling jobs near you

Customer Success Manager

Cruva

Los Angeles, CA • Remote

$70K - $100K/yr

Full-time

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

Job description

The Role

Cruva is the operating system for brands selling on TikTok Shop. Over 1,400 DTC brands use us to manage affiliate programs, find creators, run sample campaigns, and track GMV at scale. Our customers range from emerging labels to multi-nine-figure operations, including True Classic, Pixi Beauty, and QVC UK.

Customer success at Cruva is not a support function. It is a growth function. The brands in our platform are moving fast, they have high expectations, and they need a partner who understands the platform deeply and can help them get results quickly. You will own the relationship between Cruva and a portfolio of customers from the moment they sign through their entire lifecycle on the platform.

What You\'ll Do

  • Lead onboarding for new customers: platform setup, training calls, and getting them to their first meaningful outcome as fast as possible.

  • Manage ongoing relationships across a portfolio of brands, serving as their primary point of contact at Cruva.

  • Own customer conversations across chat, email, and video. Be responsive, be clear, and follow through.

  • Troubleshoot platform issues and coordinate with the product and engineering teams when something needs escalating.

  • Identify patterns in customer questions and friction points, and bring that feedback into internal product and operations conversations.

  • Monitor customer health across your book of business and get ahead of retention risks before they surface.

  • Collaborate with sales on expansion opportunities when customers are ready to grow their usage.

What You\'ll Bring

  • Experience in customer success, account management, onboarding, or support within a SaaS environment.

  • Strong written and verbal English communication skills.

  • Comfortable leading customer calls and product training sessions.

  • Organized, detail-oriented, and responsive under a real volume of customer activity.

  • Familiarity with CRM and support tools.

  • Experience with TikTok Shop, ecommerce, or creator economy platforms is a strong plus.

Compensation

$70,000 to $100,000 base salary depending on experience, plus meaningful early-stage equity.

Location

Remote (US or UK hours)

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