2

Remote Data Science R Jobs in La Verne, CA (NOW HIRING)

Projects may vary in scope and format, offering both remote and in-person opportunities (such as ... Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate ...

Senior Engineer - LLMOps & MLOps

Los Angeles, CA ยท On-site +1

$112K - $154K/yr

Data Science Engineering: Support the data science lifecycle by automating feature stores, feature ... remote #LI-TS1 Sedgwickis an Equal Opportunity Employer and a Drug-Free Workplace. If you're ...

Experience influencing multiple stakeholders across engineering, data science, merchandising, and content teams, and driving alignment and decisions. Leadership experience in distributed or remote ...

GCP Manager

Los Angeles, CA ยท On-site +1

Support existing data science and modeling teams by aligning platform capabilities to business and ... remote client service delivery. Recruiting for this role ends on 06/30/2026. Work you'll do As a ...

... quality data, advanced training pipelines, plus top AI researchers who specialize in coding ... Self-motivated and able to work independently in a remote setting. * Technical Setup: Desktop ...

... quality data, advanced training pipelines, plus top AI researchers who specialize in coding ... Self-motivated and able to work independently in a remote setting. * Technical Setup: Desktop ...

... quality data, advanced training pipelines, plus top AI researchers who specialize in coding ... Self-motivated and able to work independently in a remote setting. * Technical Setup: Desktop ...

... quality data, advanced training pipelines, plus top AI researchers who specialize in coding ... Self-motivated and able to work independently in a remote setting. * Technical Setup: Desktop ...

... quality data, advanced training pipelines, plus top AI researchers who specialize in coding ... Self-motivated and able to work independently in a remote setting. * Technical Setup: Desktop ...

... quality data, advanced training pipelines, plus top AI researchers who specialize in coding ... Self-motivated and able to work independently in a remote setting. * Technical Setup: Desktop ...

... quality data, advanced training pipelines, plus top AI researchers who specialize in coding ... Self-motivated and able to work independently in a remote setting. * Technical Setup: Desktop ...

... quality data, advanced training pipelines, plus top AI researchers who specialize in coding ... Self-motivated and able to work independently in a remote setting. * Technical Setup: Desktop ...

... quality data, advanced training pipelines, plus top AI researchers who specialize in coding ... Self-motivated and able to work independently in a remote setting. * Technical Setup: Desktop ...

... quality data, advanced training pipelines, plus top AI researchers who specialize in coding ... Self-motivated and able to work independently in a remote setting. * Technical Setup: Desktop ...

... quality data, advanced training pipelines, plus top AI researchers who specialize in coding ... Self-motivated and able to work independently in a remote setting. * Technical Setup: Desktop ...

next page

Showing results 1-20

Remote Data Science R information

See La Verne, CA salary details

$37.4K

$122.5K

$196.1K

How much do remote data science r jobs pay per year?

As of Jun 16, 2026, the average yearly pay for remote data science r in La Verne, CA is $122,509.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,300.00 and $135,700.00 per year, depending on experience, location, and employer.

What is the difference between Remote Data Science R vs Remote Data Analyst?

AspectRemote Data Science RRemote Data Analyst
Required SkillsStatistical analysis, R programming, data modeling, machine learningData visualization, basic statistical analysis, Excel, SQL
CertificationsR certifications, data science certificates, possibly advanced degreesData analysis certifications, Excel, SQL courses
Work EnvironmentCollaborative teams, research projects, data science platformsReporting, dashboards, business insights
Industry UsageTech, finance, healthcare, research institutionsMarketing, retail, finance, operations

Remote Data Science R roles focus on advanced statistical modeling and machine learning using R, often requiring specialized certifications and working on complex data projects. Remote Data Analysts typically handle data reporting, visualization, and basic analysis to support business decisions. While both roles involve data handling, Data Science R positions demand deeper technical expertise and programming skills.

What are Remote Data Science R jobs?

Remote Data Science R jobs are positions that involve using the R programming language to analyze and interpret data, build statistical models, and generate insights, all while working from a remote location. These roles typically require strong skills in data manipulation, visualization, and statistical analysis using R. Professionals in these positions may work for companies in various industries, collaborating with teams online and leveraging cloud-based tools. Remote Data Science R jobs offer flexibility, allowing individuals to work from home or anywhere with a reliable internet connection.

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

To thrive as a Remote Data Scientist, you need strong analytical skills, expertise in statistics, programming (Python or R), and typically a degree in data science, computer science, or a related field. Familiarity with data analysis tools, machine learning frameworks (like TensorFlow or scikit-learn), and cloud platforms (such as AWS or Google Cloud) is commonly required. Outstanding problem-solving, self-motivation, and effective virtual communication skills help you excel in remote environments. These abilities are essential for deriving actionable insights from data and collaborating efficiently across distributed teams.

How do remote Data Science R professionals typically collaborate with cross-functional teams while working from different locations?

Remote Data Science R professionals often use a combination of communication platforms (like Slack, Microsoft Teams, or Zoom) and project management tools (such as Jira or Trello) to stay connected with colleagues in engineering, product management, and business analysis. Sharing code and models through version control systems (like Git) and documenting workflows in shared repositories helps maintain transparency and collaboration. Regular virtual meetings and presentations are crucial for aligning goals, discussing progress, and receiving feedback. This collaborative approach ensures that data-driven insights effectively support organizational objectives, even in a distributed work environment.
What are popular job titles related to Remote Data Science R jobs in La Verne, CA? For Remote Data Science R jobs in La Verne, CA, the most frequently searched job titles are:
What cities near La Verne, CA are hiring for Remote Data Science R jobs? Cities near La Verne, CA with the most Remote Data Science R job openings:
Infographic showing various Remote Data Science R job openings in La Verne, CA as of June 2026, with employment types broken down into 1% As Needed, 91% Full Time, 6% Part Time, 1% Temporary, and 1% Contract. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution, with an average salary of $122,509 per year, or $58.9 per hour.

AI/ML Data Contributor

TSMG

Los Angeles, CA โ€ข Remote

Part-time

Posted 20 days ago


Job description

Project Overview
We are currently hiring AI/ML Data Contributors to support a range of active and upcoming projects across the United States. In this role, you will participate in tasks that help improve machine learning models, including data labeling, content evaluation, and user-based testing.

Projects may vary in scope and format, offering both remote and in-person opportunities (such as device or VR testing). This is a flexible, task-based role with the opportunity to participate in multiple projects over time.

Responsibilities
  • Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation
  • Participate in remote assignments or attend on-site sessions when required
  • Follow project guidelines and ensure high-quality task completion
  • Provide feedback and input during testing activities
  • Complete tasks within given timelines
Requirements
  • Must be based in the United States
  • Strong attention to detail and ability to follow instructions
  • Basic computer skills and familiarity with digital tools
  • Reliable internet connection and access to a computer or smartphone
  • Availability to participate in task-based work (schedule may vary)
Nice to Have
  • Previous experience in data annotation, QA, or testing
  • Interest in AI, machine learning, or emerging technologies
What We Offer
  • Paid, flexible task-based work
  • Opportunity to work on innovative AI/ML projects
  • Exposure to cutting-edge technologies (including device and VR testing)
  • Potential for ongoing project participation

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.