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Data Annotation Tech Remote Jobs in California (NOW HIRING)

Federato Technologies

Data Scientist

San Francisco, CA · Remote

$160K - $200K/yr

The role will report directly to the CTO. Next to the CTO, you will be first Data Scientist on the team building out models and algorithms pivotal to our value proposition. This is a remote position ...

Federato Technologies

Data Scientist

San Francisco, CA · On-site +1

$160K - $200K/yr

The role will report directly to the CTO. Next to the CTO, you will be first Data Scientist on the team building out models and algorithms pivotal to our value proposition. This is a remote position ...

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 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 ...

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 ...

Field Materials

$111K - $137K/yr

Our platform integrates with all major construction ERPs, eliminating manual data entry for ... technology backbone of a fully remote, fast-scaling startup. You will be the go-to person for ...

Experian

Senior Data Modeling Analyst - Remote

Costa Mesa, CA · On-site +1

$92K - $116K/yr

Company Description Experian is a global data and technology company, powering opportunities for ... Flexible work environment, ability to work remote, hybrid or in-office * Flexible time off ...

Experian

Senior Data Modeling Analyst - Remote

Costa Mesa, CA · On-site +1

$92K - $116K/yr

Company Description Experian is a global data and technology company, powering opportunities for ... Flexible work environment, ability to work remote, hybrid or in-office * Flexible time off ...

HumanSignal

Delivery Lead

San Francisco, CA · On-site

$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 ...

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Data Annotation Tech Remote information

What is the difference between Data Annotation Tech Remote vs Data Labeling Specialist?

AspectData Annotation Tech RemoteData Labeling Specialist
CredentialsBasic technical skills, sometimes certifications in data annotation toolsSimilar credentials, often with experience in labeling software
Work EnvironmentRemote, often freelance or contract-basedRemote or on-site, depending on employer
Industry UsageUsed across AI, machine learning, and data science companiesCommon in AI, autonomous vehicles, and tech firms

Both roles involve labeling data for machine learning models, with similar credentials and remote work options. The main difference lies in job titles used by employers, but their responsibilities and industry applications overlap significantly.

What are Data Annotation Tech Remote jobs?

Data Annotation Tech Remote jobs involve working from home or another remote location to label, tag, or classify data such as text, images, audio, or video. This work is essential for training and improving artificial intelligence and machine learning models. Data annotators use specialized software tools to accurately identify and categorize data according to specific guidelines provided by employers. These roles require attention to detail, consistency, and sometimes subject-matter expertise, depending on the project. Remote data annotation jobs are popular because they often offer flexible schedules and the ability to work from anywhere.

What are some common challenges faced by remote Data Annotation Technicians, and how can they be addressed?

Remote Data Annotation Technicians often encounter challenges such as maintaining consistent annotation quality, managing repetitive tasks, and ensuring clear communication with team leads or project managers. To address these, it's helpful to establish a structured daily routine, use collaboration tools to stay connected with the team, and regularly review project guidelines to ensure accuracy. Many organizations also provide feedback loops and quality assurance checks, so being proactive in seeking feedback can help improve performance and job satisfaction.

What are the key skills and qualifications needed to thrive as a Data Annotation Tech (Remote), and why are they important?

To excel as a Data Annotation Tech (Remote), you need attention to detail, basic computer literacy, and familiarity with data labeling practices, often supported by a high school diploma or equivalent. Proficiency with annotation tools such as Labelbox, Supervisely, or proprietary platforms is typically required, and training in data privacy or quality assurance may be beneficial. Strong communication, time management, and the ability to focus independently are standout soft skills for this remote role. These competencies are crucial to ensure accurate, high-quality data labeling that directly impacts the effectiveness of AI and machine learning models.
What are the most commonly searched types of Data Annotation Tech jobs in California? The most popular types of Data Annotation Tech jobs in California are:
What are popular job titles related to Data Annotation Tech Remote jobs in California? For Data Annotation Tech Remote jobs in California, the most frequently searched job titles are:
What job categories do people searching Data Annotation Tech Remote jobs in California look for? The top searched job categories for Data Annotation Tech Remote jobs in California are:
What cities in California are hiring for Data Annotation Tech Remote jobs? Cities in California with the most Data Annotation Tech Remote job openings:
Data Annotation Tech Remote jobs near you
Infographic showing various Data Annotation Tech Remote job openings in California as of June 2026, with employment types broken down into 76% Full Time, 17% Part Time, 2% Temporary, and 5% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.
Data Scientist

Data Scientist

Federato Technologies

San Francisco, CA • Remote

$160K - $200K/yr

Full-time

Posted 23 days ago

Job description

Company Description

Federato Technologies is a Series A startup based in San Fransisco, CA looking to hire a data scientist. Federato is a venture backed company funded by some of the most prominent VC's in the Bay Area. We build software to help large insurance carriers improve their portfolio optimization. Our goal is to close down the $150B insurance gap by making insurance affordable again. The initial algorithms used in our product spun out off the founders published research in Reinforcement Learning, Statistics, and Optimization.

The role will report directly to the CTO. Next to the CTO, you will be first Data Scientist on the team building out models and algorithms pivotal to our value proposition. 

This is a remote position, but we do have an office in San Fransisco.

Job Description

You will be the first data scientist on the team working through and building models from scratch that will be pivotal for our business. You will have a huge impact on our success and will be part of a fast growing team!

Qualifications

  • Demonstrated interest in engineering for impact

  • 2+ years of hands-on industry experience with machine learning and optimization models

  • 2+ years of experience with model deployment, monitoring and version control

  • Graduate work in an optimization related field (e.g RL, Convex Optimization, Bayesian Optimization), either PhD or Advanced MS degree.

  • Comfortable with Python, Flask/Django, Pandas and Numpy

  • Demonstrated ability to pick up new technologies quickly and learn on the spot

Additional Information

Pay Range: $160k - $200k

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