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Hourly Ai Data Trainer Jobs (NOW HIRING)

micro1 AI

AI Data Trainer - MS Suite - Remote

Denver, CO · Remote

$35 - $50/hr

... proposals, or data-driven reporting, tailored to your industry background. * Document findings and provide actionable feedback to inform the ongoing development of AI systems for business ...

micro1 AI

AI Data Trainer - MS Suite - Remote

Austin, TX · Remote

$35 - $50/hr

... proposals, or data-driven reporting, tailored to your industry background. * Document findings and provide actionable feedback to inform the ongoing development of AI systems for business ...

micro1 AI

AI Data Trainer - MS Suite - Remote

Omaha, NE · Remote

$35 - $50/hr

... proposals, or data-driven reporting, tailored to your industry background. * Document findings and provide actionable feedback to inform the ongoing development of AI systems for business ...

micro1 AI

AI Data Trainer - MS Suite - Remote

Boston, MA · Remote

$35 - $50/hr

... proposals, or data-driven reporting, tailored to your industry background. * Document findings and provide actionable feedback to inform the ongoing development of AI systems for business ...

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How much do hourly ai data trainer jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for hourly ai data trainer in the United States is $31.24, according to ZipRecruiter salary data. Most workers in this role earn between $19.95 and $35.58 per hour, depending on experience, location, and employer.

What is an hourly AI data trainer?

An Hourly AI Data Trainer is a professional who works on a part-time or contract basis to label, annotate, and review data to help train artificial intelligence (AI) models. Their main responsibility is to ensure that data used for machine learning algorithms is accurate, consistent, and well-organized. These trainers might work with text, images, audio, or video data, following detailed guidelines to categorize or tag content appropriately. The role is essential for improving the performance and reliability of AI systems, as well-labeled data is crucial for effective machine learning. Hourly AI Data Trainers often work remotely and may be compensated based on the amount of data processed or time spent working.

What are the key skills and qualifications needed to thrive as an hourly AI data trainer?

To thrive as an Hourly AI Data Trainer, you need strong analytical skills, attention to detail, and a foundational understanding of data annotation or machine learning concepts, often supported by relevant coursework or experience. Familiarity with annotation platforms, data labeling tools, and sometimes basic coding or spreadsheet applications is typically required. Excellent communication, reliability, and the ability to follow detailed guidelines set standout performers apart. These skills ensure high-quality, accurate data labeling, which is critical for training effective AI models.

What are some common challenges faced by hourly AI data trainers, and how can they be managed effectively?

Hourly AI Data Trainers often encounter challenges such as maintaining consistency in data labeling, understanding complex annotation guidelines, and managing repetitive tasks. Staying organized and regularly referring to updated project documentation helps ensure accuracy. Collaborating with team leads and participating in periodic quality reviews can also reduce errors and improve efficiency. Keeping open communication with peers allows for quick clarification of uncertainties, making the work more manageable and productive.

What is the difference between Hourly Ai Data Trainer vs Data Annotator?

AspectHourly Ai Data TrainerData Annotator
Required CredentialsHigh school diploma or equivalent; some roles may prefer technical certificationsHigh school diploma or equivalent; no specialized certifications typically required
Work EnvironmentRemote or on-site, often in tech or AI companiesPrimarily remote or on-site, in data labeling or content moderation settings
Employer & Industry UsageTech companies, AI startups, research institutionsData labeling firms, AI companies, content platforms

While both roles involve working with data, an Hourly Ai Data Trainer focuses on training AI models by providing structured data and feedback, often requiring some technical understanding. A Data Annotator primarily labels or tags data to prepare it for machine learning, with less emphasis on training AI systems. Both roles are essential in AI development but differ in scope and responsibilities.

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Hourly Ai Data Trainer jobs near you
Infographic showing various Hourly Ai Data Trainer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $64,984 per year, or $31.2 per hour.

AI Data Trainer - MS Suite - Remote

micro1 AI

Oklahoma City, OK • Remote

$35 - $50/hr

Part-time

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Role Title: Business Document Expert (Excel, PowerPoint, Word)


Role Type: Contractor


Location: Remote


micro1 is engaging Business Document Experts (Excel, PowerPoint, Word) to participate in a project designed to advance AI capabilities in professional business documentation. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input.


Scope of Work


  1. Design and create realistic business tasks and scenarios based on your professional experience involving complex PowerPoint, Excel, and Word deliverables.
  2. Engage in dynamic, prompt-driven conversations with language models, challenging them with work representative of Fortune 500 business environments.
  3. Evaluate AI-generated solutions by comparing multiple model responses, assessing quality, accuracy, and effectiveness for real-world business needs.
  4. Develop and submit detailed assessments highlighting strengths, weaknesses, and areas for model improvement based on your domain expertise.
  5. Contribute cross-functional tasks such as financial modeling, executive presentations, strategic proposals, or data-driven reporting, tailored to your industry background.
  6. Document findings and provide actionable feedback to inform the ongoing development of AI systems for business documentation use cases.
  7. Collaborate asynchronously with project coordinators to ensure the authenticity and utility of submitted challenges and evaluations.


Preferred Qualifications

  1. At least 3 years of hands-on experience in business settings across finance, healthcare, consulting, tech, retail, or related industries.
  2. Extensive proficiency with advanced Excel, PowerPoint, and Word—creating complex models, reports, presentations, and analyses.
  3. Direct experience supporting or driving projects in strategy, operations, sales, marketing, finance, or HR functions within a Fortune 500 context.
  4. Expertise in designing nuanced business scenarios that reflect challenging, high-impact office deliverables.
  5. Strong written and verbal communication skills, with the ability to clearly articulate feedback and rationale in documentation.
  6. Familiarity with conversational interactions or prompt engineering with language models is a plus, but not required.

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