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Ai Data Labeling Remote Jobs in California (NOW HIRING)

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 ...

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 ...

HumanSignal

Delivery Lead

San Francisco, CA · Remote

$110K - $140K/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 ...

HumanSignal

High Volume (TOFU) Recruiter

San Francisco, CA · On-site +1

$55K - $100K/yr

About HumanSignal Real-world data is the competitive edge in AI. HumanSignal is a human data ... San Francisco, CA preferred; open to other remote options About the Role HumanSignal Services runs ...

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Ai Data Labeling Remote information

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$22.5K

$96K

$221.8K

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

As of Aug 7, 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 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 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 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 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:
What job categories do people searching Ai Data Labeling Remote jobs in California look for? The top searched job categories for Ai Data Labeling Remote jobs in California are:
What cities in California are hiring for Ai Data Labeling Remote jobs? Cities in California with the most Ai Data Labeling Remote job openings:
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, 73% Full Time, 21% Part Time, 2% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $95,986 per year, or $46.1 per hour.

Forward Deployed Engineer

Hirevouch

San Francisco, CA • On-site, Remote

$134K - $162K/yr

Full-time

Re-posted 27 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.

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