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Remote Ai Data Collection Jobs in Azusa, CA (NOW HIRING)

YO AI Labs

AI Data Science Expert - Remote

Los Angeles, CA · Remote

$100 - $200/hr

AI Data Science Domain Expert Job Type: Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their expertise to an innovative ...

New

GDIT

AI Data Scientist

Los Angeles, CA · On-site +1

... a remote work model GDIT IS YOUR PLACE At GDIT, the mission is our purpose, and our people are at ... By proceeding, you authorize the collection, processing, and use of your biometric data for ...

Initio Capital

Data Product Analyst

Los Angeles, CA · Remote

... AI/data, business operations, corporate development, private markets, or entrepreneurship. COMPENSATION Compensation varies by project and experience. Many roles are flexible, remote, and project ...

New

YO AI Labs

AI Consulting Expert - Remote

Los Angeles, CA · Remote

$100 - $200/hr

Job Title: AI Consulting Domain Remote Job Type: Contractor (Part-Time) Location: Remote Job ... Annotate data, interpret findings, and perform fact-checking to ensure high-quality content.

New

Initio Capital

AI Product Analyst

Los Angeles, CA · Remote

... AI/data, business operations, corporate development, private markets, or entrepreneurship. COMPENSATION Compensation varies by project and experience. Many roles are flexible, remote, and project ...

Sparks Wiz Limited

Junior Data Analyst

Los Angeles, CA · On-site +1

$26 - $37/hr

Data Collection and Management: * Gather and preprocess data from various sources, including ... Remote-based with potential for hybrid work arrangements. * Full-time position with standard ...

TSMG

AI/ML Data Contributor

Los Angeles, CA · Remote

Project Overview We are currently hiring AI/ML Data Contributors to support a range of active and ... Participate in remote assignments or attend on-site sessions when required * Follow project ...

TSMG

AI/ML Data Contributor

Los Angeles, CA · Remote

Project Overview We are currently hiring AI/ML Data Contributors to support a range of active and ... Participate in remote assignments or attend on-site sessions when required * Follow project ...

Datafied

Junior Data Analyst

Anaheim, CA · On-site +1

Design, develop, and maintain databases and data collection systems to optimize data quality and ... Remote Work Requirements * Hard-wired ethernet connection. * Safe and secure workspace. * Ability ...

Work World

AI & Innovation Associate

Commerce, CA · On-site +1

$20 - $25/hr

Hybrid -- Remote Mondays and Fridays; in-office Tuesday through Thursday at our Commerce location ... You'll use AI, automation, data, and business intelligence to improve processes, reporting, and ...

New

YO AI Labs

AI Finance Expert - Remote

Los Angeles, CA · Remote

$100 - $200/hr

Remote Job Overview We are seeking experienced AI Finance Domain Experts to contribute their ... Assess and annotate financial data, reports, and AI-generated outputs using structured evaluation ...

New

NEWMARK

Data Outreach Associate

Los Angeles, CA · On-site +1

$50K - $65K/yr

Remote (Pacific Time or Mountain Time) Firm Overview : Newmark is seeking a highly motivated Data ... Utilize AI-powered tools and internal technology to accelerate research and data collection.

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Remote Ai Data Collection information

See Azusa, CA salary details

$16

$25

$32

How much do remote ai data collection jobs pay per hour?

As of Aug 14, 2026, the average hourly pay for remote ai data collection in Azusa, CA is $25.75, according to ZipRecruiter salary data. Most workers in this role earn between $23.70 and $26.39 per hour, depending on experience, location, and employer.

What skills and qualifications are needed for a remote AI data collection specialist?

To thrive as a Remote AI Data Collection Specialist, you need attention to detail, data management skills, and a basic understanding of machine learning concepts, often supported by a degree in computer science or related fields. Familiarity with data annotation tools, spreadsheets, and platforms like Labelbox or Amazon SageMaker is commonly required. Strong communication, time management, and problem-solving skills are important for collaborating remotely and meeting project deadlines. These abilities ensure accurate, efficient data gathering and annotation, which are critical for the quality and reliability of AI model development.

What is remote AI data collection?

Remote AI data collection refers to the process of gathering and labeling data—such as images, audio, text, or video—from various sources using digital tools, often from a remote location. This data is used to train and improve artificial intelligence and machine learning models. People working in this field can perform tasks like annotating images, transcribing audio, or categorizing text, all from their home or another remote setting. The work is essential for creating accurate AI systems and often offers flexible hours. It usually requires basic computer skills and attention to detail.

What remote jobs can I do with AI?

Remote AI data collection jobs involve gathering and labeling data to train machine learning models, often requiring skills in data annotation, understanding of AI tools, and attention to detail. These roles can include image, text, or audio data labeling and are typically performed using specialized platforms or software, offering flexible schedules for qualified candidates.

What is the difference between Remote Ai Data Collection vs Remote Data Annotator?

AspectRemote Ai Data CollectionRemote Data Annotator
Required CredentialsBasic computer skills, training in data collection toolsAttention to detail, familiarity with annotation software
Work EnvironmentRemote, flexible hours, often on mobile or desktopRemote, flexible hours, often on desktop or specialized platforms
Industry UsageAI training data gathering across various sectorsLabeling and annotating data for machine learning models
Common Search IntentJobs involving data collection for AIJobs focused on data labeling and annotation

Remote Ai Data Collection involves gathering raw data for AI training, often requiring basic technical skills. Remote Data Annotator focuses on labeling and annotating data to improve machine learning models. Both roles are remote, but they differ in tasks and skill requirements, serving different stages of AI data preparation.

What are common challenges in a remote AI data collection role, and how can they be managed?

A common challenge in Remote AI Data Collection roles is ensuring data quality and consistency, especially when working independently without direct supervision. It is important to follow detailed guidelines precisely and communicate proactively with project managers or team leads whenever uncertainties arise. Time management and maintaining motivation can also be challenging when working remotely, so setting a structured schedule and leveraging collaboration tools can help. Regular check-ins with the team and staying updated with project requirements are key to overcoming these challenges and delivering reliable results.

How to be a Remote AI Data Collection?

To work as a remote AI data collector, you should have strong attention to detail, good communication skills, and familiarity with data annotation tools or platforms. Many roles require basic computer skills and the ability to follow specific instructions, often with flexible schedules. Gaining experience in data labeling or annotation can improve your chances of securing such positions.

What are popular job titles related to Remote Ai Data Collection jobs in Azusa, CA?

For Remote Ai Data Collection jobs in Azusa, CA, the most frequently searched job titles are:

What cities near Azusa, CA are hiring for Remote Ai Data Collection jobs?

Cities near Azusa, CA with the most Remote Ai Data Collection job openings:

Remote Ai Data Collection jobs near you
Infographic showing various Remote Ai Data Collection job openings in Azusa, CA as of July 2026, with employment types broken down into 5% Internship, 64% Full Time, 21% Part Time, and 10% Contract. Highlights an 100% Remote job distribution, with an average salary of $53,553 per year, or $25.7 per hour.

AI Data Scientist Expert - Remote

YO AI Labs

Los Angeles, CA • Remote

$100 - $200/hr

Part-time

Posted 2 days ago

New

Job description

Job Title: AI Data Science Domain Expert

Job Type: 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-generation AI systems. In this role, you will review, evaluate, and refine AI-generated technical and analytical content to improve model accuracy, reasoning, and overall performance. No prior AI experience is required—your data science expertise, analytical thinking, and communication skills are what matter most.

Key Responsibilities
  • Review, edit, and refine AI-generated content for accuracy, clarity, and technical relevance.
  • Develop, optimize, and evaluate prompts to improve AI model performance.
  • Conduct rubric-based assessments of AI outputs and provide structured feedback.
  • Perform independent research and fact-checking to validate technical information.
  • Annotate data and support quality assurance initiatives for AI training.
  • Interpret complex datasets and prepare clear technical reports and summaries.
  • Collaborate remotely with project teams to improve AI models and workflows.
Required Skills
  • Critical Thinking
  • Analytical Reasoning
  • Prompt Engineering
  • AI Output Evaluation
  • Quality Assurance
  • Technical Documentation
  • Technical & Report Writing
  • Content Review & Editing
  • Data Annotation
  • Data Interpretation
  • Fact Checking
  • Independent Research
  • Problem-Solving
  • Attention to Detail
Preferred Qualifications
  • 3+ years of experience in Data Science, Machine Learning, Applied AI, Statistics, Quantitative Analytics, or Data Analytics.
  • Experience producing or reviewing research papers, analytical reports, technical documentation, experiment summaries, or data-driven recommendations.
  • Strong analytical reasoning, critical thinking, and written communication skills.
  • Experience with data annotation, content review, or rubric-based evaluation is preferred.
  • Familiarity with prompt engineering, AI output evaluation, fact-checking, or RLHF is a plus.
  • Master's, MBA, PhD, or other advanced degree is preferred.