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Remote Work From Home Ai Data Labeling Jobs in California

Forward Deployed Engineer

San Francisco, CA ยท On-site +1

$134K - $162K/yr

... work becomes even more essential as AI capabilities expand exponentially. About us We're the only ... Specialized data labeling through Aligner, leveraging subject matter experts for next-generation AI ...

WORK FROM HOME

Fresno, CA ยท On-site +1

$300 - $500/wk

We are looking for individuals interested in working from home, remotely, as life insurance sales ... We use data driven systems and cutting edge lead generation that gets you connected with interested ...

WORK FROM HOME

Anaheim, CA ยท On-site +1

$300 - $500/wk

We are looking for individuals interested in working from home, remotely, as life insurance sales ... We use data driven systems and cutting edge lead generation that gets you connected with interested ...

WORK FROM HOME

Santa Ana, CA ยท On-site +1

$300 - $500/wk

We are looking for individuals interested in working from home, remotely, as life insurance sales ... We use data driven systems and cutting edge lead generation that gets you connected with interested ...

WORK FROM HOME

Sacramento, CA ยท On-site +1

$300 - $500/wk

We are looking for individuals interested in working from home, remotely, as life insurance sales ... We use data driven systems and cutting edge lead generation that gets you connected with interested ...

... from GDIT's Integrated Technology Center in Bossier City, LA will follow a remote work model GDIT ... USA LA Home Office (LAHOME) Total Rewards at GDIT: Our benefits package for all US-based employees ...

Showing results 21-40

Remote Work From Home Ai Data Labeling information

What is the difference between Remote Work From Home Ai Data Labeling vs Remote Work From Home Data Annotation?

AspectRemote Work From Home Ai Data LabelingRemote Work From Home Data Annotation
CredentialsBasic computer skills, attention to detailSimilar: basic skills, no specialized certifications needed
Work EnvironmentHome-based, flexible hoursHome-based, flexible hours
Industry UsageAI training, machine learningAI training, machine learning
Job FocusLabeling data for AI modelsAnnotating data for AI training

Remote Work From Home Ai Data Labeling and Data Annotation are closely related roles in AI development. Both involve labeling data to train machine learning models and are performed remotely with flexible hours. The main difference lies in terminology; 'Data Labeling' emphasizes the process of assigning labels, while 'Data Annotation' can include broader annotation tasks. Both roles typically require similar skills and are used interchangeably in the industry.

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

What job categories do people searching Remote Work From Home Ai Data Labeling jobs in California look for?

The top searched job categories for Remote Work From Home Ai Data Labeling jobs in California are:

What cities in California are hiring for Remote Work From Home Ai Data Labeling jobs?

Cities in California with the most Remote Work From Home Ai Data Labeling job openings:

Infographic showing various Remote Work From Home Ai Data Labeling job openings in California as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 14% Part Time, and 2% Contract. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution.

Forward Deployed Engineer

Hirevouch

San Francisco, CA โ€ข On-site, Remote

$134K - $162K/yr

Full-time

Re-posted 11 days ago


Job description

We're building the critical infrastructure that powers breakthrough AI models at leading research labs and enterprises. Since 2018, we've been pioneering data-centric approaches that are fundamental to AI development, and our work becomes even more essential as AI capabilities expand exponentially.
About us
We're the only company offering three integrated solutions for frontier AI development:
  1. Enterprise Platform & Tools: Advanced annotation tools, workflow automation, and quality control systems that enable teams to produce high-quality training data at scale
  2. Frontier Data Labeling Service: Specialized data labeling through Aligner, leveraging subject matter experts for next-generation AI models
  3. Expert Marketplace: Connecting AI teams with highly skilled annotators and domain experts for flexible scaling

Why Join Us
  • High-Impact Environment: We operate like an early-stage startup, focusing on impact over process. You'll take on expanded responsibilities quickly, with career growth directly tied to your contributions.
  • Technical Excellence: Work at the cutting edge of AI development, collaborating with industry leaders and shaping the future of artificial intelligence.
  • Innovation at Speed: We celebrate those who take ownership, move fast, and deliver impact. Our environment rewards high agency and rapid execution.
  • Continuous Growth: Every role requires continuous learning and evolution. You'll be surrounded by curious minds solving complex problems at the frontier of AI.
  • Clear Ownership: You'll know exactly what you're responsible for and have the autonomy to execute. We empower people to drive results through clear ownership and metrics.

Role Overview
This role requires an entrepreneurial mindset. You will operate like a technical cofounder of an AI startup. Maybe that's what you will become after cutting your teeth here!
You will use a unique mix of engineering, product, and sales to deliver data on high stakes projects for Frontier AI labs - think Google, Meta, Amazon. You will work with human data teams or AI researchers in customer organizations to produce the best datasets for model Evals, Supervised Finetuning, or ground truth data for advanced and emerging Reinforcement Learning techniques.
Your Impact
  • Understand the Data Needs of AI Leaders: Work directly with the most advanced AI labs to define and refine data strategies.
  • Design and Operate Human Data Pipelines: Build scalable, high-quality data pipelines to power next-gen AI.
  • Develop and Optimize Code: Write Python scripts for data processing and quality analysis.
  • Shape the Future of AI Infrastructure: Define engineering requirements to improve human data tools and workflows.

What You Bring
  • Master's degree or higher in Computer Science, Engineering, Mathematics, or AI-related fields.
  • Proficiency in Python and data analysis.
  • Exceptional communication skills: ability to convey complex technical concepts clearly.
  • Strong project management and organizational skills.
  • Passion for AI and the intersection of technology, product, and customer needs.

Solutions
You'll be the bridge between our cutting-edge AI data infrastructure and the technical needs of frontier AI labs and enterprises. Working with our three integrated offerings-Enterprise Platform, Frontier Data Labeling, and Expert Marketplace-you'll architect comprehensive data strategies for some of the most advanced AI initiatives globally. You'll help customers implement transparent human data pipelines that deliver measurable improvements in model performance across multimodal, reasoning, coding, and multilingual use cases. Your expertise will directly impact how quickly organizations can scale their AI data operations, from complex project setup to expert team deployment, ensuring customers realize the full value of human-in-the-loop processes in advancing state-of-the-art AI.
What will you do?
As part of theServices team, you'll lead implementation of customer projects and manage our elite network of AI experts who deliver high-quality human feedback crucial for AI advancement. Your team will oversee 250,000+ monthly hours of specialized work across RLHF, complex reasoning, and multimodal AI projects, resulting in quality improvements for Frontier AI Labs. You'll leverage our AI-powered talent acquisition system and exclusive access to 16M+ specialized professionals to rapidly build and deploy expert teams that help customers like Google and ElevenLabs achieve breakthrough AI capabilities through precisely aligned human data-directly contributing to the critical human element in advancing artificial intelligence.