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Intern Remote Data Labeling Jobs in California (NOW HIRING)

SB Energy

Civil Engineering Intern

San Diego, CA · On-site +1

$18.50 - $24.25/hr

Join Our Team Agentic AI Engineering Intern Engineering & Innovation Denver, CO Analyst/Sr. Analyst ... Austin, TX Senior Cost Manager - Data Center Project Controls Data Center Projects Remote Senior ...

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SB Energy

Electrical Lead - Data Centers

Los Angeles, CA · On-site +1

$29.25 - $38.50/hr

Denver, CO CSA Lead - Data Centers Data Center Projects Piketon, OH Data Analyst - Data Center Project Controls Data Center Projects Remote Data Engineering & AI Enablement Intern 2026 Operational ...

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EV Realty

Intern, Data Analytics

San Francisco, CA · On-site +1

The Role As a Data Analytics Intern you will help build and maintain various analytics tools and ... Independent workflow must be effectively harmonized with remote collaboration * Familiarity with ...

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

General Motors

Senior AI/ML Engineer

Sunnyvale, CA · On-site +1

$124K - $170K/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 ...

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Intern Remote Data Labeling information

What is the difference between Intern Remote Data Labeling vs Intern Remote Data Annotation?

AspectIntern Remote Data LabelingIntern Remote Data Annotation
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote, flexible hoursRemote, flexible hours
Industry UsageAI, machine learning, data scienceAI, machine learning, data science
Job FocusLabeling data for training AI modelsAnnotating data to improve model accuracy

Both roles involve remote work and require similar skills, but data labeling typically emphasizes categorizing data, while data annotation may include adding detailed notes or tags. Understanding these differences helps candidates choose the right position aligned with their skills and career goals.

What are the most commonly searched types of Remote Data Labeling jobs in California? The most popular types of Remote Data Labeling jobs in California are:
What cities in California are hiring for Intern Remote Data Labeling jobs? Cities in California with the most Intern Remote Data Labeling job openings:
Intern Remote Data Labeling jobs near you
Sr. Data Scientist, GenAI & Labeling Platforms

Sr. Data Scientist, GenAI & Labeling Platforms

Pinterest

San Francisco, CA • On-site, Remote

Other

Posted 18 days ago

Job description

Pinterest brings millions of people the inspiration to create a life they love. Advancements in Generative AI have opened up a wealth of opportunities for improvements in productivity and labeling quality, and we've only scratched the surface of its capabilities. Early results show strong promise for LLM-assisted labeling - reducing time and cost, focusing human rater efforts on higher-value problems, and improving the accuracy of our learnings.

This role focuses on advancing the science and systems behind labeling, evaluation, and GenAI-enabled workflows. The work spans LLM-assisted labeling, human-in-the-loop quality systems, prompt and rubric design, model evaluation, and methods for improving the speed, consistency, and usefulness of judgment-based data.

We're looking for a strong senior individual contributor to execute high-impact technical work in this space, partner cross-functionally to turn successful ideas into durable platform capabilities, and grow with the team as the space evolves.

What you'll do:

We are looking for an experienced and highly capable Data Scientist to help us drive step function improvements in our data labeling capabilities at Pinterest. In this role, you will:

  • Execute high-impact scientific work across GenAI-powered labeling and evaluation systems
  • Identify opportunities where LLMs and related methods can improve quality, speed, coverage, and cost efficiency
  • Develop prototypes that demonstrate value in areas such as prompt optimization, task decomposition, quality estimation, routing, and human-in-the-loop workflows
  • Design experiments and measurement frameworks to evaluate model performance, workflow outcomes, and operational tradeoffs
  • Partner with engineering, product, and data science teams to productionize successful approaches
  • Apply standards for trustworthiness, including bias measurement, calibration, quality control, and responsible oversight
  • Contribute to reusable methods and frameworks that can scale across teams and use cases
  • Support more junior scientists and contribute to the technical health of the team

What we're looking for:

  • 6+ years of combined post-graduate academic and industry experience (or PhD + 3 years) applying scientific methods to real-world problems on large-scale data
  • Strong hands-on experience as an individual contributor solving technically complex, high-impact data science or ML problems
  • Experience applying LLMs or other generative AI techniques to practical workflows, systems, or products
  • Ability to turn ambiguous problems into rigorous analyses, experiments, and prototypes
  • Track record of writing high-quality code and using technical work to influence product or platform direction
  • Solid cross-functional collaboration skills and experience working effectively across teams
  • Business and product sense with the ability to define meaningful success metrics
  • Self-directed learning mindset and comfort working in a rapidly evolving technical landscape
  • Experience with labeling systems, evaluation frameworks, human judgment workflows, or internal AI tooling is strongly preferred

Relocation Statement:

  • We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.

In-Office Requirement Statement:

  • This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country.

  • This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.

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