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Data Labeler Remote Jobs in California (NOW HIRING)

Prior experience in transcription, translation, localization, subtitling, or data labeling ... Remote, contract; 2 months * Rate: $13-$27 / hour * Hours: 20-40 hrs/week * Openings: 3 How to ...

Prior experience in transcription, translation, localization, subtitling, or data labeling ... Remote, contract; 2 months * Rate: $13-$27 / hour * Hours: 20-40 hrs/week * Openings: 3 How to ...

Prior experience in transcription, translation, localization, subtitling, or data labeling ... Remote, contract; 2 months * Rate: $13-$27 / hour * Hours: 20-40 hrs/week * Openings: 3 How to ...

Prior experience in transcription, translation, localization, subtitling, or data labeling ... Remote, contract; 2 months * Rate: $13-$27 / hour * Hours: 20-40 hrs/week * Openings: 3 How to ...

Prior experience in transcription, translation, localization, subtitling, or data labeling ... Remote, contract; 2 months * Rate: $13-$27 / hour * Hours: 20-40 hrs/week * Openings: 3 How to ...

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

Data Analyst

Foster City, CA · Remote

$85K - $100K/yr

We run these virtual- and private-label marketplaces in one of the nation's largest media networks ... REMOTE QuinStreet is an equal opportunity employer. We do not discriminate on the basis of race ...

Director Master Data Management

Irvine, CA · On-site +1

$143K - $228K/yr

Remote Position Summary: The Director - MDM COE is responsible for establishing and leading the ... labeling). Leadership & Change Management: * Build and lead a cross-functional team of data ...

Director Master Data Management

Irvine, CA · On-site +1

$143K - $228K/yr

Remote Position Summary: The Director - MDM COE is responsible for establishing and leading the ... labeling). Leadership & Change Management: * Build and lead a cross-functional team of data ...

Delivery Lead

San Francisco, CA · Remote

$110K - $140K/yr

... and remote workforce marketplaces can't. We own projects end-to-end, from scoping and protocol ... Our work spans RLHF, evals, red-teaming, and custom multimodal data creation, all powered by Label ...

Senior Data Analyst

Foster City, CA · Remote

$80K - $130K/yr

We run these virtual- and private-label marketplaces in one of the nation's largest media networks ... REMOTE QuinStreet is an equal opportunity employer. We do not discriminate on the basis of race ...

Schedule - Fully remote & asynchronous (min.15hrs/week) * Pay Range (US) - $25-$100 per hour ... Experience with data labeling, RLHF, or other AI training projects About The Role * Flexible ...

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Data Labeler Remote information

Is data labelling a good career?

Data labeling is an entry-level role that involves annotating data for machine learning models, often requiring attention to detail and basic technical skills. It can provide a stepping stone into the tech industry, but it typically offers limited advancement opportunities and lower pay compared to other tech roles. Many workers use it as a temporary job or to gain experience in data-related fields.

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

To thrive as a Data Labeler Remote, you need strong attention to detail, basic data analysis skills, and familiarity with data annotation processes, often supported by a high school diploma or equivalent. Proficiency with labeling platforms, annotation tools, and sometimes knowledge of spreadsheet software are typically required. Reliability, time management, and effective communication are crucial soft skills for maintaining accuracy and meeting project deadlines in a remote setting. These skills ensure high-quality, consistent labeled data, which is essential for training reliable machine learning models.

How can I make 2000 a week working from home?

A remote data labeler can potentially earn around $2000 per week by working full-time hours, often requiring consistent effort, accuracy, and familiarity with labeling tools. Increasing earnings may involve taking on multiple projects, improving efficiency, or gaining specialized skills in data annotation. However, most remote data labeling jobs pay hourly or per task, so reaching this income level typically requires high productivity and experience.

What are some common challenges faced by remote data labelers and how can they be managed?

Remote data labelers often encounter challenges such as maintaining focus during repetitive tasks, ensuring consistent annotation quality, and communicating effectively with distributed teams. To manage these, it's helpful to establish a structured work routine, take regular breaks to prevent fatigue, and use annotation guidelines provided by employers. Leveraging collaboration tools for feedback and clarification also helps maintain high-quality output and fosters a sense of connection with team members.

How to make $1000 a week remote?

A remote data labeler can increase earnings by working multiple projects, improving efficiency, and gaining experience with popular tools like labeling platforms and annotation software. Earning $1000 weekly typically requires consistent full-time work, high-volume projects, or specialized skills that command higher pay rates. Building a strong reputation and seeking higher-paying opportunities can also help reach this income level.

What does a remote data labeler do?

A remote data labeler is responsible for annotating or tagging data—such as images, videos, audio, or text—from a remote location, typically working from home. Their work helps train machine learning models by providing accurate, labeled datasets that algorithms use to learn and make predictions. Data labelers follow specific guidelines to ensure consistency and accuracy, and may use specialized software tools to complete their tasks. This role is essential in industries like artificial intelligence, self-driving cars, and natural language processing. Remote data labelers often work as freelancers or as part of distributed teams for tech companies.

How much does a data labeler make?

Data labelers typically earn between $12 and $20 per hour, depending on experience, location, and the complexity of the labeling tasks. Remote data labeling jobs often pay hourly or per project, with some roles offering additional benefits or flexible schedules.

What is the difference between Data Labeler Remote vs Data Annotator Remote?

AspectData Labeler RemoteData Annotator Remote
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote, flexible hoursRemote, flexible hours
Industry UsageCommon in AI/ML data preparationCommon in AI/ML data preparation
Job FocusLabeling data points for machine learningAnnotating data for training AI models

Both Data Labeler Remote and Data Annotator Remote roles involve preparing data for AI and machine learning projects. While the terms are often used interchangeably, Data Labeler Remote typically emphasizes labeling data points, whereas Data Annotator Remote may include more detailed annotation tasks. Both roles require similar skills and are performed remotely, making them accessible for individuals seeking flexible data-related jobs.

What are the most commonly searched types of Data Labeler jobs in California? The most popular types of Data Labeler jobs in California are:
What cities in California are hiring for Data Labeler Remote jobs? Cities in California with the most Data Labeler Remote job openings:

Transcription Project Manager

Align Turn

Hayward, CA • Remote

$13 - $27/hr

Other

Posted 6 days ago


Job description

About Align Turn

Align Turn provides quality assurance for speech training data. We help AI research teams validate audio quality, verify transcripts and timestamps, and ensure models are only trained on the best data. Our distributed teams of transcribers work across many languages — and we're growing fast.


About the Role

We're hiring Transcription Project Managers to each own the transcription pipeline for a single language. You'll be the accountable owner for your language: managing a team of hundreds of remote transcribers, keeping quality high, and delivering accurate transcripts on schedule.


This is a hands-on operational role. You'll spend your days coordinating people, auditing work, unblocking issues, and making sure nothing slips through the cracks.


What You'll Do
  • Own day-to-day transcription operations for your assigned language, delivering high-quality transcripts on time
  • Manage a distributed team of hundreds of transcribers: onboarding, training, scheduling, calibration, and ongoing performance management
  • Track throughput and deadlines, forecast capacity, and escalate risks early
  • Audit transcriber work continuously and provide detailed, actionable feedback to maintain data integrity
  • Maintain and improve training materials, style guides, quizzes, and QA checklists
  • Triage questions from transcribers and resolve edge cases against the style guide
  • Report progress, quality metrics, and blockers to leadership and clients
  • Surface tooling and workflow improvements to streamline operations


What You Bring
  • Strong project management and operational execution skills — you can run a process reliably at scale and hit deadlines
  • Experience managing large distributed teams, contractors, freelancers, or annotators (or comparable coordination experience, e.g. BPO, community management, large volunteer programs)
  • Extreme attention to detail and a high bar for data accuracy
  • Excellent written communication — most of your team interaction is async and in writing
  • Comfort with spreadsheets and tracking tools; able to stay organized across hundreds of people and thousands of files
  • Reliable internet connection and availability for overlap with your team's working hours
Big Plus
  • Fluency in Tamil, Hindi, Spanish, or Tagalog — you'll be able to spot-check transcripts in your language directly
  • Prior experience in transcription, translation, localization, subtitling, or data labeling / annotation operations
  • Experience with QA workflows, audio data, or linguistics
  • Basic technical proficiency (spreadsheet formulas, SQL, Python, or AI coding assistants) to streamline workflows
Details
  • Type: Remote, contract; 2 months
  • Rate: $13–$27 / hour
  • Hours: 20–40 hrs/week
  • Openings: 3
How to Apply

Fill out this form https://tally.so/r/xXzqxd