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Ai Data Labeling Remote Jobs in California (NOW HIRING)

Mercor

Video Data Reviewer - Egocentric

San Francisco, CA · Remote

$20 - $25/hr

AI Data Generalist -- Egocentric Video Review Type: Contract Compensation: $20-$25/hour Location ... Remote Duration: Approximately 2 weeks Role Responsibilities * Review egocentric video data and ...

Welo Data

Lead Gen AI Analyst

Santa Clara, CA · On-site +1

$50/hr

This leadership role is open to both hybrid and remote candidates, with a preference for those who ... data labeling, or similar production environments. * 3+ years of experience leading teams and ...

YO AI Labs

AI Data Scientist Expert - Remote

Palo Alto, CA · Remote

$100 - $200/hr

AI Data Science Domain Expert Job Type: Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their expertise to an innovative ...

YO AI Labs

AI Data Science Expert - Remote

Los Angeles, CA · Remote

$100 - $200/hr

AI Data Science Domain Expert Job Type: Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their expertise to an innovative ...

Welocalize

Lead Gen AI Analyst

Santa Clara, CA · On-site +1

$50/hr

This leadership role is open to both hybrid and remote candidates, with a preference for those who ... data labeling, or similar production environments. * 3+ years of experience leading teams and ...

YO AI Labs

AI Data Science Expert - Remote

San Jose, CA · Remote

$100 - $200/hr

AI Data Science Domain Expert Job Type: Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their expertise to an innovative ...

YO AI Labs

AI Data Science Expert - Remote

Palo Alto, CA · Remote

$100 - $200/hr

AI Data Science Domain Expert Job Type: Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their expertise to an innovative ...

Hirevouch

Forward Deployed Engineer

San Francisco, CA · On-site +1

$134K - $162K/yr

Frontier Data Labeling Service : Specialized data labeling through Aligner, leveraging subject matter experts for next-generation AI models * Expert Marketplace : Connecting AI teams with highly ...

GDIT

AI Data Scientist

Los Angeles, CA · On-site +1

Skills: AI Systems, Big Data, Datasets Certifications: None Experience: 2 + years of related ... a remote work model GDIT IS YOUR PLACE At GDIT, the mission is our purpose, and our people are at ...

Snorkel AI

Lead Data Scientist

San Francisco, CA · On-site +1

$130K - $200K/yr

Experience with Streamlit, Snowflake Cortex, AI/data labeling, A/B testing, and two-sided marketplace or data product business models. Pay Transparency Notice: Depending on your work location, the ...

HumanSignal

Strategic Projects Lead

San Francisco, CA · Remote

$75K - $110K/yr

About HumanSignal Real-world data is the competitive edge in AI. HumanSignal is a human data ... Our work spans RLHF, evals, red-teaming, and custom multimodal data creation, all powered by Label ...

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Ai Data Labeling Remote information

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How much do ai data labeling remote jobs pay per year?

As of Sep 4, 2026, the average yearly pay for ai data labeling remote in California is $95,986.00, according to ZipRecruiter salary data. Most workers in this role earn between $36,721.00 and $142,477.00 per year, depending on experience, location, and employer.

What is an AI data labeling remote?

An AI Data Labeling Remote job involves annotating data, such as images, text, audio, or videos, to help train machine learning models. Tasks may include drawing bounding boxes, categorizing content, or transcribing text with accuracy. This role is typically performed online, allowing individuals to work from home with flexible hours. Strong attention to detail and familiarity with labeling tools are essential for success in this position.

What are the key skills and qualifications needed to thrive in the AI data labeling remote position, and why are they important?

To thrive as an AI Data Labeling Remote professional, you need keen attention to detail, strong organizational skills, and familiarity with data annotation concepts, typically supported by a high school diploma or relevant experience. Proficiency with common labeling tools like Labelbox, Supervisely, or proprietary platforms, and a basic understanding of data privacy and security protocols, are often required. Consistency, reliability, time management, and clear communication are crucial soft skills that set candidates apart. These abilities ensure high-quality, accurate labeling of datasets, which is critical for training effective and unbiased AI models.

What are some typical challenges faced by AI data labeling remote professionals, and how can they be overcome?

Remote AI data labeling professionals often encounter challenges such as maintaining attention to detail over repetitive tasks and ensuring consistent quality across large datasets. To overcome these challenges, it's helpful to take regular breaks, stay organized with task management tools, and actively communicate with your team leaders about any uncertainties or edge cases in the data. Many teams provide detailed guidelines and ongoing feedback to support accuracy and minimize errors. Adhering to best practices and engaging in regular check-ins with supervisors can help maintain motivation, ensure consistent performance, and contribute positively to team goals.

What are the most commonly searched types of Ai Data Labeling jobs in California?

The most popular types of Ai Data Labeling jobs in California are:

What are popular job titles related to Ai Data Labeling Remote jobs in California?

For Ai Data Labeling Remote jobs in California, the most frequently searched job titles are:

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Ai Data Labeling Remote jobs near you
Infographic showing various Ai Data Labeling Remote job openings in California as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 13% Part Time, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $95,986 per year, or $46.1 per hour.

Video Data Reviewer - Egocentric

Mercor

San Francisco, CA • Remote

$20 - $25/hr

Full-time

This job post has expired 4 days ago. Applications are no longer accepted.

Job description

About the job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Position: AI Data Generalist — Egocentric Video Review
Type: Contract
Compensation: $20–$25/hour
Location: Remote
Duration: Approximately 2 weeks

Role Responsibilities

  • Review egocentric video data and complete structured quality-review tasks.
  • Evaluate action segments within videos for accurate start and end boundaries.
  • Adjust or flag incorrect boundaries according to guidelines.
  • Maintain consistent judgment across a high volume of short action segments.
  • Complete assigned videos within the project timeline.

Qualifications

Must-Have

  • Excellent attention to detail and visual comprehension.
  • Ability to distinguish closely related actions and moments in video.
  • Comfortable with structured, repetitive review work while maintaining accuracy.
  • Quick learning and consistent application of detailed annotation guidelines.
  • Strong written English communication skills.

Preferred

  • Experience with video annotation, data labeling, computer vision datasets, or egocentric video.

Start Date

  • Monday morning 17th August (PST)

Application Process (Takes 20–30 mins to complete)

  • Upload resume
  • AI interview based on your resume
  • Submit form

Resources & Support

  • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
  • For any help or support, reach out to: support@mercor.com

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.