ZipRecruiter

Log In

2

Remote Data Annotation Jobs in California (NOW HIRING)

Motional

Senior Full Stack Engineer

San Francisco, CA · On-site +1

$149K - $198K/yr

Collaborate closely with ML, frontend, UX, data services, data mining, and data annotation teams to ... be fully remote. The salary range for this role is an estimate based on a wide range of ...

General Motors

Senior AI/ML Engineer

Sunnyvale, CA · On-site +1

$122K - $168K/yr

Remote/Hybrid:This role is based remotely but if you live within a 50-mile radius of Sunnyvale, CA ... data annotation (prelabeling, autolabeling, active learning loops), helping us move from humanonly ...

Agility Robotics

Director of AI

Bodega Bay, CA · On-site +1

$257K - $402K/yr

Secure and allocate funding for specialized datasets and data annotation services. * Evaluate and ... This is a fully remote role with the option to work hybrid if a commutable distance from our Salem ...

Snorkel AI

Senior Manager - Research

San Francisco, CA · On-site +1

$250K - $350K/yr

Experience with data annotation workflows and/or building internal tooling for them Location: San Francisco, CA or Remote Reports to: Head of Research (Co-founder) Salary Range $250,000-$350,000 USD ...

HumanSignal

Strategic Projects Lead

San Francisco, CA · Remote

$75K - $110K/yr

San Francisco, CA About the Role HumanSignal specializes in operationally complex, multimodal data collection and annotation -- delivering the datasets that frontier AI research requires and remote ...

HumanSignal

High Volume (TOFU) Recruiter

San Francisco, CA · On-site +1

$55K - $100K/yr

... data collection and annotation -- delivering the datasets that frontier AI research requires and remote workforce marketplaces can't. We own projects end-to-end, from scoping and protocol design ...

Mercor

Network Support Engineer

San Francisco, CA · Remote

$50 - $70/hr

Network Engineer - Data for Autonomous Systems annotation Type: Contract Compensation: $50-$70/hour Location: Remote Commitment: 30-40 hours/week Role Responsibilities * Review real-world data from ...

Mercor

Network Engineer

San Francisco, CA · Remote

$50 - $70/hr

Network Engineer - Data for Autonomous Systems annotation Type: Contract Compensation: $50-$70/hour Location: Remote Commitment: 30-40 hours/week Role Responsibilities * Review real-world data from ...

Mercor

Network System Engineer

San Francisco, CA · Remote

$50 - $70/hr

Network Engineer - Data for Autonomous Systems annotation Type: Contract Compensation: $50-$70/hour Location: Remote Commitment: 30-40 hours/week Role Responsibilities * Review real-world data from ...

Aquent

Agentic Judge (Real Estate License)

San Francisco, CA · On-site +1

$29.37 - $32.63/hr

... fully remote role, but candidates must be located in the San Francisco, CA area. This is a ... Develop and maintain annotation guidelines and best practices. * Provide training data to engineers ...

HumanSignal

Delivery Lead

San Francisco, CA · Remote

$110K - $140K/yr

San Francisco, CA About the Role HumanSignal specializes in operationally complex, multimodal data collection and annotation -- delivering the datasets that frontier AI research requires and remote ...

mpathic

Head of Sales

Bodega Bay, CA · Remote

S.-based remote position. Candidates must reside in the United States.Applicants must be currently ... Drive adoption of our human-data services, evaluation workflows, annotation services, and platform ...

next page

Showing results 1-20

People also search for

All JobsRemote Data Annotation JobsRemote Data Annotation Jobs in California

Remote Data Annotation information

See California salary details

$9

$33

$74

How much do remote data annotation jobs pay per hour?

As of Jun 7, 2026, the average hourly pay for remote data annotation in California is $33.55, according to ZipRecruiter salary data. Most workers in this role earn between $17.18 and $43.55 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Remote Data Annotation position, and why are they important?

To thrive as a Remote Data Annotation specialist, strong attention to detail, accuracy, and familiarity with basic data processing concepts are essential, often requiring a high school diploma or equivalent. Experience using data labeling platforms, annotation tools (such as Labelbox or Supervisely), and sometimes familiarity with spreadsheet software may be required. Excellent time management, communication skills, and the ability to work independently are valuable soft skills in this remote role. These skills are vital to ensure that data annotations are consistent, precise, and delivered on schedule, which directly impacts the quality of AI and machine learning outcomes.

What are the typical daily tasks for someone working in Remote Data Annotation?

Daily tasks for a Remote Data Annotation role usually involve reviewing and labeling large volumes of data—such as images, audio clips, text, or video—according to specific project guidelines. You will use specialized annotation tools to identify objects, transcribe content, categorize information, or tag relevant features to support machine learning projects. Communication with project managers or quality assurance teams may be necessary for feedback and clarity on guidelines. Most roles also require regular self-checks for accuracy and the ability to meet productivity quotas or deadlines. This structure allows for a combination of focused individual work and occasional team collaboration to ensure project goals are met.

What is a Remote Data Annotation job?

A Remote Data Annotation job involves labeling, tagging, or categorizing data (such as images, text, audio, or video) to help improve machine learning models. This work is typically done from home using specialized annotation tools provided by employers. Accuracy and attention to detail are essential, as the quality of annotations directly impacts AI model performance. Many companies hire remote annotators on a freelance, part-time, or contractual basis.

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

Senior Manager - Research

Snorkel AI

San Francisco, CA • On-site, Remote

Other

Posted 27 days ago

Job description

Snorkel AI came out of the Stanford AI lab and is built on the principle that data development is the core of AI. For years, we have pioneered data-centric methods that power the world's most sophisticated AI implementations from top enterprises to frontier AI labs. We are looking for a Senior Manager of Research to lead a team focused on data-centric research.

About the Role

As a manager on the Research team, you will lead a team that focuses on data-centric research that drives the datasets and associated methods that the next generation of models will be trained and evaluated on. From collaborating with researchers at frontier labs to academics at Stanford, Berkeley, UW, you and your team will bridge the gap between cutting edge research and real-world AI development. 

Main Responsibilities
  • Team Building & Leadership: Recruit for and lead a team of applied researchers, setting the team's culture and setting a high standard for quality and velocity
  • Frontier Data Research: Collaborate with academic and industry-leading AI labs to define the data-centric techniques that will help power the next generation of foundation models.
  • Strategic Roadmapping: Anticipate the next bottlenecks in the AI data (e.g., automated RLHF, agentic evaluation, or specialized model alignment) and pivot the team to develop the programmatic solutions that address them
  • Operational Excellence: Partner with the Go-to-Market, Operations and Product teams to enhance current state and drive the roadmap for what the company will focus on next
What We're Looking For
  • 5+ years of experience in applied AI, research or machine learning roles, with at least 4+ years of experience managing technical teams
  • A player coach who is willing to be hands-on with coding, research, customer-facing engagements
  • A proven track record of thriving in fast-paced, ambiguous environments, comfortable managing competing priorities across cross-functional stakeholders in Product, Engineering, and GTM
  • Enjoys solving real-world problems in the data space and bridging research and production
  • Strong, practical experience working with LLMs, agentic workflow
  • Bonus: Experience with data annotation workflows and/or building internal tooling for them


Location: San Francisco, CA or Remote
Reports to: Head of Research (Co-founder)

Apply