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Part Time Remote Ai Jobs (NOW HIRING)

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APPLY HERE: & utm_source=zip_recruiter We are looking for fluent Korean speakers to participate in remote AI training projects. Tasks may include reviewing AI-generated content, evaluating responses ...

Be Seen First

APPLY HERE: & utm_source=zip_recruiter We are looking for fluent Korean speakers to participate in remote AI training projects. Tasks may include reviewing AI-generated content, evaluating responses ...

Be Seen First

APPLY HERE: & utm_source=zip_recruiter We are looking for fluent Korean speakers to participate in remote AI training projects. Tasks may include reviewing AI-generated content, evaluating responses ...

Applied AI Engineer (Part-Time, Remote - U.S.) Innovation is at the heart of what we do. At Implicit, we're building the leading AI Knowledge Engine for Maintenance and Support. Our secure, no-code ...

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Part Time Remote Ai information

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$83.5K

$127K

$171K

How much do part time remote ai jobs pay per year?

As of Jul 21, 2026, the average yearly pay for part time remote ai in the United States is $127,031.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,000.00 and $143,500.00 per year, depending on experience, location, and employer.

What is a Part Time Remote AI job?

A Part Time Remote AI job involves working on artificial intelligence projects or tasks for a company or client, but on a part-time basis and from a remote location. These roles can include positions such as AI researcher, machine learning engineer, data annotator, or AI chatbot trainer. Responsibilities may range from developing algorithms and models to data labeling or testing AI systems. The flexibility of working part time and remotely appeals to individuals seeking work-life balance or supplemental income. Requirements vary depending on the specific role, but a background in technology, programming, or data science is often beneficial.

What are the typical challenges faced by part-time remote AI professionals, and how can they be addressed?

Part-time remote AI professionals often encounter challenges such as managing time across multiple projects, staying up to date with rapidly evolving AI technologies, and maintaining effective communication with distributed teams. To address these, it's helpful to set clear boundaries for work hours, leverage collaboration tools like Slack or Zoom for regular check-ins, and dedicate time each week for professional development. Building strong relationships with colleagues and proactively seeking feedback can also help ensure alignment and productivity, even in a remote, part-time setting.

What is the difference between Part Time Remote Ai vs Part Time Remote Data Analyst?

AspectPart Time Remote AiPart Time Remote Data Analyst
Required CredentialsBasic understanding of AI tools, certifications in AI or machine learning (optional)Degree in Data Science, Statistics, or related field; certifications like Microsoft Data Analyst
Work EnvironmentRemote, flexible hours, often project-basedRemote, flexible hours, often project or task-based
Industry UsageTech, AI startups, research institutionsBusiness, finance, healthcare, marketing
Common Search/ComparisonYesNo

Part Time Remote Ai roles focus on supporting AI projects, requiring familiarity with AI tools and concepts, often in tech environments. In contrast, Part Time Remote Data Analyst positions involve analyzing data to inform business decisions, requiring data analysis skills and relevant certifications. Both roles are remote and flexible but serve different industry needs and skill sets.

What are the key skills and qualifications needed to thrive as a Part Time Remote AI Specialist, and why are they important?

To thrive as a Part Time Remote AI Specialist, you typically need a solid background in computer science, mathematics, and experience with machine learning frameworks, often supported by a relevant degree or certifications. Familiarity with tools like Python, TensorFlow, PyTorch, and cloud platforms such as AWS or Azure is commonly required. Strong self-motivation, communication skills, and time management set standout candidates apart in remote settings. These competencies ensure effective project delivery, collaboration, and adaptation in a highly technical and distributed work environment.
More about Part Time Remote Ai jobs
What cities are hiring for Part Time Remote Ai jobs? Cities with the most Part Time Remote Ai job openings:
What are the most commonly searched types of Remote Ai jobs? The most popular types of Remote Ai jobs are:
What states have the most Part Time Remote Ai jobs? States with the most job openings for Part Time Remote Ai jobs include:
Infographic showing various Part Time Remote Ai job openings in the United States as of July 2026, with employment types broken down into 100% Part Time. Highlights an 100% Remote job distribution, with an average salary of $127,031 per year, or $61.1 per hour.
Korean AI Task Contributor, Part-Time Remote

Korean AI Task Contributor, Part-Time Remote

Total AI

OR • Remote

$31 - $35/hr

Part-time

Posted 6 days ago

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Job description

APPLY HERE:
https://totaltask.ai/projects/f73f5ed0efc8cebe?lang=ko&utm_source=zip_recruiter
We are looking for fluent Korean speakers to participate in remote AI training projects. Tasks may include reviewing AI-generated content, evaluating responses, labeling data, completing language-based assignments, and helping improve AI systems.

Requirements:

  • Fluent or native-level Korean
  • Strong attention to detail
  • Reliable internet connection and computer access
  • Ability to follow written instructions
  • Previous AI or data-labeling experience is helpful but not required

This is flexible, remote, project-based work. Task availability and compensation may vary by project, and all details will be shown before you begin.
APPLY HERE:
https://totaltask.ai/projects/f73f5ed0efc8cebe?lang=ko&utm_source=zip_recruiter

Company Description

Total AI is a technology company focused on building high-quality, human-generated datasets that support AI training, evaluation, and research.
Our projects may include voice recordings, language-based tasks, content review, data labeling, and response evaluation. This work helps AI systems better understand different languages, accents, communication styles, and real-world situations. We work with contributors from diverse backgrounds and provide clear instructions for every project.