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Overnight Remote Ai Trainer Jobs (NOW HIRING)

Total AI

Korean AI Task Contributor, Part-Time Remote

OR · Remote

$31 - $35/hr

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 ...

Total AI

Korean AI Task Contributor, Part-Time Remote

OR · Remote

$31 - $35/hr

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 ...

Total AI

Korean AI Task Contributor, Part-Time Remote

OR · Remote

$31 - $35/hr

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 ...

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Overnight Remote Ai Trainer information

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$13

$37

$57

How much do overnight remote ai trainer jobs pay per hour?

As of Aug 13, 2026, the average hourly pay for overnight remote ai trainer in the United States is $37.20, according to ZipRecruiter salary data. Most workers in this role earn between $31.25 and $41.59 per hour, depending on experience, location, and employer.

What is the difference between Overnight Remote Ai Trainer vs Data Annotator?

AspectOvernight Remote Ai TrainerData Annotator
CredentialsBasic technical skills, sometimes certifications in AI or data labelingMinimal formal credentials, training provided on the job
Work EnvironmentRemote, flexible hours, often overnight shiftsRemote or on-site, flexible or fixed schedules
Industry UsageAI development, machine learning projectsData preparation for AI, machine learning, and analytics

Overnight Remote Ai Trainers focus on training AI models by providing labeled data, often working overnight shifts. Data Annotators prepare and label data for AI systems, with some overlap in skills but typically with less emphasis on AI-specific training. Both roles are remote and essential in AI development, but the Overnight Remote Ai Trainer usually requires some technical knowledge and works during overnight hours, whereas Data Annotators may have more flexible schedules and less technical prerequisites.

More about Overnight Remote Ai Trainer jobs

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Cities with the most Overnight Remote Ai Trainer job openings:

What are the most commonly searched types of Remote Ai Trainer jobs?

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What states have the most Overnight Remote Ai Trainer jobs?

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Overnight Remote Ai Trainer jobs near you
Infographic showing various Overnight Remote Ai Trainer job openings in the United States as of August 2026, with employment types broken down into 76% Full Time, 20% Part Time, and 4% Contract. Highlights an 67% Physical, 4% Hybrid, and 29% Remote job distribution, with an average salary of $77,381 per year, or $37.2 per hour.

Korean AI Task Contributor, Part-Time Remote

Total AI

OR • Remote

$31 - $35/hr

Part-time

Posted 29 days ago

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.