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Remote Record Label Jobs in San Ramon, CA (NOW HIRING)

General Motors

Senior AI/ML Engineer

Sunnyvale, CA · On-site +1

$122.60K - $168.40K/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 ...

AO Globe Life

Be Seen First

Remote Customer Service & Benefits Representative

San Francisco, CA · Remote

$60K - $80K/yr

Remote Customer Service & Benefits Representative Remote (U.S. & Canada) | Full-Time | Flexible ... Maintain accurate and organized client records * Follow up with clients as needed to ensure a ...

New

Planet

Visiting Staff Scientist

San Francisco, CA · On-site +1

... in remote sensing and satellite image analysis, with a proven track record in building AI-based ... Experience building automated pipelines for preprocessing and labeling planetary-scale datasets.

HumanSignal

High Volume (TOFU) Recruiter

San Francisco, CA · On-site +1

$55K - $100K/yr

... labeling and evaluation, used by over 1 million practitioners worldwide. We specialize in the ... San Francisco, CA preferred; open to other remote options About the Role HumanSignal Services runs ...

TradeJobsWorkForce

Remote Customer Service Rep

Berkeley, CA · Remote

$19.50 - $26.50/hr

Were looking for a Remote Customer Service Rep to work collaboratively across teams and departments ... records and documentation, coordinate tasks to ensure deadlines are met, provide excellent service ...

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All JobsRemote Record Label JobsRemote Record Label Jobs in San Ramon, CA

Remote Record Label information

See San Ramon, CA salary details

$22

$28

$37

How much do remote record label jobs pay per hour?

As of Jun 4, 2026, the average hourly pay for remote record label in San Ramon, CA is $28.13, according to ZipRecruiter salary data. Most workers in this role earn between $25.53 and $28.22 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Record Label Manager, and why are they important?

To thrive as a Remote Record Label Manager, you need a solid understanding of music industry operations, digital marketing, artist management, and contract negotiation, often supported by a degree in music business or related experience. Familiarity with digital distribution platforms (like Spotify for Artists, DistroKid), project management tools, and CRM systems is crucial. Strong communication, networking, and self-motivation are essential soft skills to effectively collaborate with artists and stakeholders from a distance. These abilities ensure the successful promotion and management of artists and releases in a highly competitive digital music landscape.

What are some common challenges faced when working remotely for a record label, and how can they be addressed?

Working remotely for a record label often presents challenges such as coordinating across different time zones, maintaining effective communication with artists and team members, and managing digital workflows for music releases and promotions. To address these, it's important to utilize collaboration tools like Slack or Asana, schedule regular check-ins, and maintain clear documentation of project timelines and responsibilities. Proactively building relationships through virtual meetings and being adaptable to fast-paced changes in the industry can also help remote team members stay connected and effective.

What is a remote record label?

A remote record label is a music company that operates primarily online, without a centralized physical office. These labels handle artist management, music production, distribution, and promotion virtually, allowing team members and artists to collaborate from anywhere in the world. Remote record labels use digital tools and platforms for communication, file sharing, and project management. This model offers flexibility and can reduce overhead costs, making it accessible for both emerging and established music professionals.

What is the difference between Remote Record Label vs Remote Music Producer?

AspectRemote Record LabelRemote Music Producer
CredentialsMusic industry experience, business knowledgeMusic production skills, software proficiency
Work EnvironmentCollaborative, team-based, often with multiple artistsIndependent, project-focused, studio or home setup
Industry UsageLabels manage artist development and distributionProducers create and refine music tracks

While both roles operate remotely within the music industry, a remote record label oversees artist management and distribution, whereas a remote music producer focuses on creating and producing music tracks. Understanding these differences helps clarify career paths and job expectations in the digital music landscape.

What are popular job titles related to Remote Record Label jobs in San Ramon, CA? For Remote Record Label jobs in San Ramon, CA, the most frequently searched job titles are:
What job categories do people searching Remote Record Label jobs in San Ramon, CA look for? The top searched job categories for Remote Record Label jobs in San Ramon, CA are:
What cities near San Ramon, CA are hiring for Remote Record Label jobs? Cities near San Ramon, CA with the most Remote Record Label job openings:
Remote Record Label jobs near you
Infographic showing various Remote Record Label job openings in San Ramon, CA as of May 2026, with employment types broken down into 66% Full Time, and 34% Part Time. Highlights an 100% Remote job distribution, with an average salary of $58,513 per year, or $28.1 per hour.
Sr. Data Scientist, GenAI & Labeling Platforms

Sr. Data Scientist, GenAI & Labeling Platforms

Pinterest

San Francisco, CA • On-site, Remote

Other

Posted 16 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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