ZipRecruiter

Log In

2

Remote Data Labeling Analyst Jobs in California (NOW HIRING)

Recruit Monitor

Remote Data Analyst

San Jose, CA · Remote

You will design and develop data & analytics solutions using cutting-edge tools to improve data warehousing, financial reporting, reserve analytics, and various automation efforts. This position ...

Hirevouch

Forward Deployed Engineer

San Francisco, CA · On-site +1

$134K - $162K/yr

Frontier Data Labeling Service : Specialized data labeling through Aligner, leveraging subject ... Write Python scripts for data processing and quality analysis. * Shape the Future of AI ...

General Motors

Senior ML Systems 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 ... The Data Labeling Engineering team designs, builds, and operates hybrid human/machine data labeling ...

QuinStreet

Data Analyst

Foster City, CA · Remote

$85K - $100K/yr

We run these virtual- and private-label marketplaces in one of the nation's largest media networks ... REMOTE QuinStreet is an equal opportunity employer. We do not discriminate on the basis of race ...

Hirevouch

Applied Research Engineer

San Francisco, CA · On-site +1

Frontier Data Labeling Service : Specialized data labeling through Aligner, leveraging subject ... create, analyze, and leverage high-quality human-in-the-loop data for frontier model developers.

next page

Showing results 1-20

All JobsData Labeling Analyst JobsRemote Data Labeling Analyst JobsRemote Data Labeling Analyst Jobs in California

Remote Data Labeling Analyst information

What are the key skills and qualifications needed to thrive as a Remote Data Labeling Analyst, and why are they important?

To thrive as a Remote Data Labeling Analyst, you need strong attention to detail, analytical thinking, and basic data management skills, typically supported by a high school diploma or higher. Familiarity with annotation tools, data labeling platforms, and sometimes basic programming or spreadsheet software is required. Strong communication, time management, and the ability to work independently are crucial soft skills for excelling remotely. These abilities ensure high-quality, accurate data labeling that directly impacts the effectiveness of AI and machine learning systems.

What are some common challenges faced by Remote Data Labeling Analysts, and how can they be addressed?

Remote Data Labeling Analysts often encounter challenges such as maintaining focus during repetitive tasks, managing time effectively across multiple projects, and ensuring high accuracy in labeling complex data sets. To address these challenges, it is helpful to follow structured workflows, take regular breaks to reduce fatigue, and leverage collaboration tools to communicate with team members for clarification or feedback. Staying updated with labeling guidelines and participating in regular training sessions can also help improve both productivity and quality of work.

What does a Remote Data Labeling Analyst do?

A Remote Data Labeling Analyst is responsible for reviewing, tagging, and annotating data—such as images, videos, text, or audio—to help train machine learning models. Working remotely, they use specialized software to classify or categorize this data according to specific guidelines. Their work is crucial for improving the accuracy and performance of artificial intelligence systems, as well-labeled data enables the AI to learn and make better predictions. This role typically requires attention to detail, consistency, and the ability to follow complex instructions.

What is the difference between Remote Data Labeling Analyst vs Remote Data Annotator?

AspectRemote Data Labeling AnalystRemote Data Annotator
CredentialsBasic data labeling skills, familiarity with annotation toolsSimilar credentials, often entry-level
Work EnvironmentRemote, often part of a data teamRemote, typically individual tasks
Industry UsageUsed across AI, machine learning, and data science companiesCommon in AI training data preparation
Job FocusLabeling and categorizing data for machine learningAnnotating data with labels or tags

The Remote Data Labeling Analyst and Remote Data Annotator roles are similar, both involving data labeling tasks in a remote setting. The Analyst may have additional responsibilities like quality checks or data management, but both positions require similar skills and are used widely in AI and machine learning industries.

What are the most commonly searched types of Data Labeling Analyst jobs in California? The most popular types of Data Labeling Analyst jobs in California are:
What are popular job titles related to Remote Data Labeling Analyst jobs in California? For Remote Data Labeling Analyst jobs in California, the most frequently searched job titles are:
What job categories do people searching Remote Data Labeling Analyst jobs in California look for? The top searched job categories for Remote Data Labeling Analyst jobs in California are:
What cities in California are hiring for Remote Data Labeling Analyst jobs? Cities in California with the most Remote Data Labeling Analyst job openings:
Remote Data Labeling Analyst jobs near you
Infographic showing various Remote Data Labeling Analyst job openings in California as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 83% Full Time, 8% Part Time, 2% Temporary, and 5% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution.

REMOTE Data Analyst

Catasys Health

Los Angeles, CA • Remote

Full-time

Re-posted 13 days ago

Job description

Company Description

Catasys is making a positive impact on people's lives every day. We use predictive analytics to identify health plan members with unaddressed behavioral health conditions that worsen chronic disease, then engage, support and guide these members to better health with a personalized, human-centered approach.  This has led us to where we are today: growing fast and saving lives as we do.

To support our explosive growth, we're looking for compassionate, hard-working people-lovers to join our team. If innovating in the field of patient care is something you're passionate about, we encourage you to join our mission to improve the health and save the lives of as many people as possible.

Impact lives in so many ways
You'll be an integral part in supporting people coping with their unique life challenges. Every member of the Catasys team contributes to accomplishing our goals and upholding our people-centric values.
The new face of mental health
Our model is research-based, and we are invested in staying on the leading edge of treatment. You'll help us break down barriers and stigmas associated with mental health.
Career options
Our ongoing strong growth and evolution, we are looking for people who want to do their best at work.   Join our team and take your career to the next level with Catasys. We are committed to promoting from within.
Excellent compensation

Job Description

As a Data Analyst, you will drive innovation, growth, and contribute to the company's ability to scale. Your work continually broadens access to reliable, accurate, and timely data to improve decision making. You will transform data into insights, leading to faster and more extensive exploratory analysis and quicker action based on evidence. Your insights will help grow the business by accelerating sales and customer expansion cycles, reinforcing Catasys' position as an industry leader in data and analytics. You excel at synthesize and communicate complex concepts and analyses in easy to understand ways.
 

Responsibilities

  • Dive into data to predict and quantify user behavior: our members, Care Team, and network providers.
  • Find actionable strategic insights through funnels, cohort analyses, user segmentation, retention analyses and regression models to help us grow our products.
  • Data storytelling: quantify user journeys to help identify opportunities to improve member outcomes and team productivity.
  • Become a Catasys subject matter expert to understand and anticipate the data needs of customers, Product, User Experience, and internal stakeholders.
  • Translate high-priority business problems to solve into concise measures.
  • Lead the Analytics Center of Excellence: a cross-functional team of Data Champions within the organization.
  • Drive a culture of analytical rigor and transparency, and shared understanding of measures
  • Work both collaboratively and autonomously.
  • Define KPIs, build automated dashboards, reports, and models to help teams make faster better decisions.
  • Work with engineering and product to implement, quality assurance, and monitor our logging and metrics.
Qualifications
  • Bachelor's Degree in Computer Science, math, economics, statistics, or other quantitative fields
  • 2+ years' experience with PowerBI DAX Programming
  • Expertise performing quantitative analysis
  • Excellent communication and presentation skills: you understand your audience and how to effectively present information to diverse stakeholders
  • Strong understanding of statistical methods and applications (A/B testing, probability, regression)
Additional Information

This position is REMOTE.

Apply