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Part Time Remote Data Labelling Jobs in California

59 Pines

Remote Data Entry Specialist

Laguna Beach, CA · Remote

$50K/yr

Can do full-time, part-time, side-gig (off-hours), or fractional (contract). * Flexible Commitment: Can do short-term, long-term, or intermittent. Why so flexible? We're a FUNDED startup racing ...

New

YO AI Labs

AI Data Scientist - Remote

San Francisco, CA · Remote

$100 - $200/hr

Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their expertise to an innovative project focused on advancing next ...

New

YO AI Labs

AI Data Scientist - Remote

San Jose, CA · Remote

$100 - $200/hr

Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their expertise to an innovative project focused on advancing next ...

New

YO AI Labs

AI Data Scientist - Remote

Palo Alto, CA · Remote

$100 - $200/hr

Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their expertise to an innovative project focused on advancing next ...

New

YO AI Labs

AI Data Scientist - Remote

California City, CA · Remote

$100 - $200/hr

Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their expertise to an innovative project focused on advancing next ...

New

YO AI Labs

AI Data Scientist - Remote

Los Angeles, CA · Remote

$100 - $200/hr

Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their expertise to an innovative project focused on advancing next ...

New

YO AI Labs

AI Consulting Expert - Remote

Palo Alto, CA · Remote

$100 - $200/hr

Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Consulting ... Annotate data, interpret findings, and perform fact-checking to ensure high-quality content.

YO AI Labs

AI Consulting Expert - Remote

San Jose, CA · Remote

$100 - $200/hr

Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Consulting ... Annotate data, interpret findings, and perform fact-checking to ensure high-quality content.

YO AI Labs

AI Data Science Expert - Remote

Palo Alto, CA · Remote

$100 - $200/hr

Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their expertise to an innovative project focused on advancing next ...

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All JobsData Labelling JobsPart Time Remote Data Labelling JobsPart Time Remote Data Labelling Jobs in California

Part Time Remote Data Labelling information

What is a part time remote data labelling job?

A part time remote data labelling job involves annotating or tagging data—such as images, text, or audio—from your own location, typically using specialized software provided by employers. The role is essential for training machine learning models, as accurate labels help computers learn to recognize patterns. These jobs are often flexible, allowing you to set your own hours and work from anywhere with an internet connection. No advanced technical skills are usually required, but attention to detail is important.

What are the key skills and qualifications needed to thrive as a part time remote data labelling specialist?

To excel as a Part Time Remote Data Labelling specialist, you need strong attention to detail, basic computer literacy, and a solid understanding of data privacy and handling protocols, often requiring a high school diploma or equivalent. Familiarity with annotation platforms, spreadsheet software, and sometimes specific data labelling tools like Labelbox or Supervisely is typically required. Reliability, time management, and clear communication are crucial soft skills for meeting deadlines and collaborating in a remote setting. These skills and qualities ensure that labelled data is accurate, consistent, and valuable for training effective machine learning models.

What are some common challenges faced by part time remote data labelling professionals, and how can they be managed?

Part-time remote data labellers often face challenges such as maintaining consistent accuracy, staying focused during repetitive tasks, and managing communication with a distributed team. To address these, it’s helpful to establish a quiet, distraction-free workspace, use productivity techniques like the Pomodoro method, and regularly review labelling guidelines to minimize errors. Leveraging communication tools and participating in team check-ins can also help clarify questions and build a sense of connection with colleagues.

What is the difference between Part Time Remote Data Labelling vs Part Time Remote Data Annotation?

AspectPart Time Remote Data LabellingPart Time 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 processingAI, machine learning, data processing
Job FocusLabeling data for training AI modelsAnnotating data for AI training

Part Time Remote Data Labelling and Part Time Remote Data Annotation are similar roles involving preparing data for AI systems. Labelling typically involves categorizing data, while annotation may include adding detailed notes or markings. Both roles require attention to detail and are performed remotely, making them suitable for flexible schedules. The main difference lies in the specific tasks, but they are often used interchangeably depending on the employer or project.

What are popular job titles related to Part Time Remote Data Labelling jobs in California?

For Part Time Remote Data Labelling jobs in California, the most frequently searched job titles are:

What job categories do people searching Part Time Remote Data Labelling jobs in California look for?

The top searched job categories for Part Time Remote Data Labelling jobs in California are:

What cities in California are hiring for Part Time Remote Data Labelling jobs?

Cities in California with the most Part Time Remote Data Labelling job openings:

Part Time Remote Data Labelling jobs near you
Infographic showing various Part Time Remote Data Labelling job openings in California as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Remote Data Entry Specialist

Laguna Beach, CA • Remote

59 Pines
See more jobs at 59 Pinesexternal

$50K/yr

Part-time

Posted 2 days ago

New

Job description

We're hiring a Data Entry Specialist / Administrative Support to help keep our data clean, organized, and up to date as we scale operations ahead of public launch.

Summary
  • Flexible Title: Can tailor to reflect your skills & experience.
  • Flexible Time: Can do full-time, part-time, side-gig (off-hours), or fractional (contract).
  • Flexible Commitment: Can do short-term, long-term, or intermittent.

Why so flexible? We're a FUNDED startup racing toward launch. Feel free to jump in, help us ship, then bounce >> or stick around. A successful launch translates into lots of permanent jobs for those that want them. We're also interested in long-term "side gig" relationships, if that's what you're into—in our experience, a few expert hours often beat full-time learning-curve hours.

About Us

We're a credible, funded, remote-first startup backed by a growing team. We're pre-launch and moving fast.

About The Role

We have data coming in from multiple sources — leads, contacts, research, partnerships — and we need someone who can keep it accurate, organized, and current. This is detail-oriented work: entering data into spreadsheets and systems, cleaning up duplicates and errors, verifying information, and making sure nothing gets lost.

If you're the kind of person who notices when a phone number has one too many digits or a name is misspelled, you'll thrive here. The work is straightforward but important — bad data costs us time and money, and you're the person who prevents that.

Compensation

Up to $50,000 max total annual compensation; cash and equity components to be negotiated. Given the flexible commitment model, comp will be structured accordingly — fractional or hourly arrangements welcome.

What You'll Do in Your First 7 Days
  • You've gotten access to our systems and understand how our data is structured
  • You've completed your first batch of data entry and cleanup tasks
  • You've flagged any inconsistencies or gaps you noticed in existing data
  • You've attended your first team check-in and understand how work gets assigned
  • The team knows who you are, why you're here, and how you'll work together
What You'll Do Ongoing
  • Enter and update data — input new records into spreadsheets, CRMs, and databases accurately and on time
  • Clean and deduplicate — spot and fix errors, merge duplicates, and keep data consistent across systems
  • Verify information — cross-check records against source materials to make sure everything is accurate
  • Organize files and records — maintain folder structures, naming conventions, and document organization
  • Support the team — handle light administrative tasks as needed: scheduling, formatting documents, pulling reports
What We're Looking For

Must-haves:

  • Fast and accurate typist — you can enter data quickly without sacrificing quality
  • Detail-oriented — you catch errors that others miss
  • Comfortable with spreadsheets (Google Sheets, Excel) and basic data tools
  • Reliable and consistent — you show up, do the work, and meet deadlines
  • Can work independently without constant supervision

Nice-to-have:

  • Experience with CRM tools (HubSpot, Salesforce, Airtable, or similar)
  • Previous data entry, admin, or virtual assistant experience
  • Comfortable in fast-moving, ambiguous environments
What You're NOT
  • Not an analyst — you're entering and organizing data, not building reports or dashboards
  • Not an IT role — you don't need technical skills beyond spreadsheets and basic tools
  • Not a customer-facing role — your work is behind the scenes keeping things clean

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