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Remote Data Science Physics Jobs in Walnut, CA (NOW HIRING)

TSMG

AI/ML Data Contributor

Los Angeles, CA · Remote

Participate in remote assignments or attend on-site sessions when required * Follow project ... Previous experience in data annotation, QA, or testing * Interest in AI, machine learning, or ...

Yami

Senior Product Manager, Search and Discovery

Brea, CA · On-site +1

$100K - $135K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

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

Yami

Senior Product Manager, Search and Discovery

Brea, CA · On-site +1

$100K - $135K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

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

Sedgwick

Senior Engineer - LLMOps & MLOps

Los Angeles, CA · 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 ...

Taboola

Senior Product Analyst

Los Angeles, CA · On-site +1

$101K - $156K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

REQUIREMENTS: - Bachelor's degree in Statistics, Data Analysis, Data Science, Applied Mathematics ... Partial remote/hybrid benefit available. ANNUAL PAY RANGE : $101,712 - $156,475 + benefits (Annual ...

YO AI Labs

AI Consulting Expert - Remote

Los Angeles, CA · Remote

$100 - $200/hr

Remote Job Overview We are seeking experienced AI Consulting Domain Experts to contribute their ... Annotate data, interpret findings, and perform fact-checking to ensure high-quality content.

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Remote Data Science Physics information

What is the difference between Remote Data Science Physics vs Remote Data Science Engineering?

AspectRemote Data Science PhysicsRemote Data Science Engineering
Required CredentialsPhysics degree, data science certificationsEngineering degree, data science certifications
Work EnvironmentResearch labs, tech companies, academiaTech firms, manufacturing, software companies
Industry UsageScientific research, academia, tech innovationProduct development, systems engineering, software solutions

Remote Data Science Physics focuses on applying physics principles to data analysis and modeling, often in research or scientific contexts. Remote Data Science Engineering emphasizes developing data-driven products and systems within engineering and technology sectors. While both roles require data science skills, their industry applications and focus areas differ significantly.

What are the key skills and qualifications needed to thrive as a remote data science physicist?

To thrive as a Remote Data Science Physicist, you need a strong background in physics, statistics, and mathematics, typically supported by a relevant degree (such as Physics or Data Science) and experience with data analysis. Proficiency with programming languages like Python or R, machine learning frameworks, and data visualization tools is essential, along with familiarity with cloud-based collaboration platforms. Excellent problem-solving skills, communication, and self-motivation are crucial soft skills for remote work and interdisciplinary collaboration. These skills ensure accurate data-driven insights, effective teamwork, and successful project delivery in a remote environment.

How do remote data science physicists typically collaborate with multidisciplinary teams despite working offsite?

Remote data science physicists often work closely with software engineers, domain scientists, and project managers through virtual collaboration tools such as Slack, Zoom, and cloud-based platforms for data sharing and analysis. Regular online meetings, shared documentation, and version-controlled repositories (like GitHub) are essential for maintaining clear communication and workflow alignment. While remote work offers flexibility, it requires proactive communication and strong organizational skills to ensure seamless integration with the broader research or product development team.

What is a remote data science physicist?

A Remote Data Science Physics job involves using data science tools, such as statistical analysis, machine learning, and programming, to solve problems or analyze data related to physics, all while working from a remote location. Professionals in this field may work on projects like simulations, data modeling, or research for academic or industry settings. They apply their understanding of physics concepts alongside data science skills to extract meaningful insights from large and complex datasets. This role often requires proficiency in programming languages like Python or R, knowledge of data analysis techniques, and a strong foundation in physics.
What are the most commonly searched types of Data Science Physics jobs in Walnut, CA? The most popular types of Data Science Physics jobs in Walnut, CA are:
What job categories do people searching Remote Data Science Physics jobs in Walnut, CA look for? The top searched job categories for Remote Data Science Physics jobs in Walnut, CA are:
What cities near Walnut, CA are hiring for Remote Data Science Physics jobs? Cities near Walnut, CA with the most Remote Data Science Physics job openings:
Remote Data Science Physics jobs near you
Infographic showing various Remote Data Science Physics job openings in Walnut, CA as of June 2026, with employment types broken down into 67% Full Time, 25% Part Time, 2% Temporary, and 6% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution.

AI/ML Data Contributor

TSMG

Los Angeles, CA • Remote

Full-time

Re-posted 17 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 and identifying potential inconsistencies or verification signals in application materials based on available information. 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.