ZipRecruiter

Log In

2

Data Labeler Remote Jobs in California (NOW HIRING)

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 ...

General Motors

Senior AI/ML Engineer

Sacramento, CA · On-site +1

$113K - $156K/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 ...

Mondo

Enforcement Operations Specialist

San Francisco, CA · On-site +1

$110 - $120/hr

Remote or Hybrid Start Date Is: ASAP Duration: 6 Months Contract (potential to extend) Compensation ... Strong data labeling, content review, or moderation experience * Ability to identify policy ...

Mercor

Chief Data Scientist

San Francisco, CA · Remote

$70 - $100/hr

Remote Commitment: 40 hours/week Role Responsibilities * Guide research and engineering teams on ... Prior experience with data annotation , labeling, evaluation, or human feedback collection.

HumanSignal

Strategic Projects Lead

San Francisco, CA · Remote

$75K - $110K/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 ...

Align Turn

Transcription Project Manager

Fremont, CA · Remote

$13 - $27/hr

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 ...

Align Turn

Transcription Project Manager

Santa Rosa, CA · Remote

$13 - $27/hr

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 ...

Align Turn

Transcription Project Manager

Alameda, CA · Remote

$13 - $27/hr

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 ...

next page

Showing results 1-20

All JobsData Labeler JobsData Labeler Remote JobsData Labeler Remote Jobs in California

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 are popular job titles related to Data Labeler Remote jobs in California? For Data Labeler Remote jobs in California, the most frequently searched job titles are:
What job categories do people searching Data Labeler Remote jobs in California look for? The top searched job categories for Data Labeler Remote 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:
Data Labeler Remote jobs near you

Data Scientist (Part-Time | Remote | $100 -$120/hr )

Call For Referral

San Francisco, CA • Remote

$100 - $120/hr

Part-time

Posted 25 days ago

Job description

Data Scientist (Part-Time | Remote | $100 –$120/hr )

This range is provided by Call For Referral. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$100.00/hr - $120.00/hr

Helping AI Startups Hire 0→1 Founding Engineers & Product Talent | Backend & Infra | US & Europe

Data Scientist (AI Task Evaluation & Statistical Analysis Specialist)

Hourly Contract | Part-Time Remote | $100 –$120 per hour

1. About the Role

Mercor is partnering with a leading AI research lab to hire experienced Data Scientists specializing in AI task evaluation and statistical analysis.

In this role, you will conduct comprehensive failure analysis on AI agent performance across finance-sector tasks — identifying systemic patterns, diagnosing performance bottlenecks, and improving model evaluation frameworks.

You’ll work closely with AI engineers and research analysts to transform raw evaluation data into actionable insights, strengthening the quality, fairness, and reliability of large-scale AI systems.

2. Key Responsibilities

  • Statistical Failure Analysis: Identify recurring patterns in AI agent failures across task components (prompts, rubrics, file types, tags, etc.).
  • Root Cause Analysis: Determine whether issues stem from task design, rubric clarity, file complexity, or agent limitations.
  • Dimensional Analysis: Examine performance variations across finance sub-domains, file structures, and evaluation criteria.
  • Visualization & Reporting: Build dashboards and analytical reports that highlight edge cases, performance clusters, and opportunities for improvement.
  • Framework Enhancement: Recommend refinements to rubric design, evaluation metrics, and task structures based on empirical findings.
  • Stakeholder Communication: Present key insights to data labeling teams, ML engineers, and research collaborators.

3. Required Qualifications

  • Strong foundation in statistical analysis, hypothesis testing, and pattern recognition.
  • Proficiency in Python (pandas, scipy, matplotlib/seaborn) or R for data analysis.
  • Hands‑on experience with exploratory data analysis (EDA) and feature interpretation.
  • Understanding of AI/ML evaluation methodologies and LLM performance metrics.
  • Skilled in using Excel, SQL, and data visualization tools (e.g., Tableau, Looker).

4. Preferred Qualifications

  • Experience with AI/ML model evaluation or quality assurance pipelines.
  • Background in finance or interest in learning financial domain structures.
  • Familiarity with benchmark datasets, failure mode analysis, and evaluation frameworks.
  • 2–4 years of relevant professional experience in data science, analytics, or applied statistics.

5. More About the Opportunity

  • Commitment: Part‑time, 20–25 hours/week
  • Schedule: Fully remote and asynchronous — work on your own time
  • Duration: 1–2 months, with strong potential for extension
  • Start Date: Immediate

6. Compensation & Contract Terms

  • Hourly Rate: $100–$120/hour (based on experience and region)
  • Payments: Weekly via Stripe Connect for approved work

⚡ PS: Mercor reviews applications daily. Please complete your interview and onboarding steps to be considered for this opportunity. ⚡

#J-18808-Ljbffr

Apply