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Data Trainer Jobs (NOW HIRING)

micro1 AI

AI Data Trainer - MS Suite - Remote

Dallas, TX · Remote

$35 - $50/hr

Contribute cross-functional tasks such as financial modeling, executive presentations, strategic proposals, or data-driven reporting, tailored to your industry background. * Document findings and ...

New

micro1 AI

AI Data Trainer - MS Suite - Remote

Tucson, AZ · Remote

$35 - $50/hr

Contribute cross-functional tasks such as financial modeling, executive presentations, strategic proposals, or data-driven reporting, tailored to your industry background. * Document findings and ...

New

micro1 AI

AI Data Trainer - MS Suite - Remote

Raleigh, NC · Remote

$35 - $50/hr

Contribute cross-functional tasks such as financial modeling, executive presentations, strategic proposals, or data-driven reporting, tailored to your industry background. * Document findings and ...

New

micro1 AI

AI Data Trainer - MS Suite - Remote

Portland, OR · Remote

$35 - $50/hr

Contribute cross-functional tasks such as financial modeling, executive presentations, strategic proposals, or data-driven reporting, tailored to your industry background. * Document findings and ...

New

micro1 AI

AI Data Trainer - MS Suite - Remote

Tulsa, OK · Remote

$35 - $50/hr

Contribute cross-functional tasks such as financial modeling, executive presentations, strategic proposals, or data-driven reporting, tailored to your industry background. * Document findings and ...

New

micro1 AI

AI Data Trainer - MS Suite - Remote

El Paso, TX · Remote

$35 - $50/hr

Contribute cross-functional tasks such as financial modeling, executive presentations, strategic proposals, or data-driven reporting, tailored to your industry background. * Document findings and ...

New

Analytica

Data Analytics Trainer

Washington, DC · On-site

Analytica is seeking a Data Analytics Trainer to support in planning, developing, and delivering a comprehensive training program for end-users. The candidate must be an experienced software ...

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How much do data trainer jobs pay per hour?

As of Jul 10, 2026, the average hourly pay for 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.

Which 3 jobs will survive AI?

Data trainers play a key role in developing and refining AI systems by annotating data and ensuring model accuracy. Jobs that require complex human judgment, creativity, and emotional intelligence—such as healthcare professionals, educators, and skilled tradespeople—are also likely to persist despite AI advancements. These roles often involve tasks that are difficult for AI to replicate fully.

What is the difference between Data Trainer vs Data Analyst?

AspectData TrainerData Analyst
Required CredentialsOften requires certifications in training, data tools, or related fieldsTypically requires degrees in statistics, data science, or related fields
Work EnvironmentPrimarily conducts training sessions, workshops, and educational programsAnalyzes data sets, creates reports, and provides insights for decision-making
Employer & Industry UsageUsed in corporate training, educational institutions, and tech companiesCommon in finance, marketing, healthcare, and tech industries

While both roles involve working with data, Data Trainers focus on educating and training others in data tools and concepts, whereas Data Analysts analyze data to generate insights. Understanding these differences helps in choosing the right career path or job search focus.

What are Data Trainers?

Data Trainers are professionals who prepare and curate datasets used to train machine learning models. They are responsible for labeling, annotating, and verifying data to ensure its quality and relevance for artificial intelligence systems. Data Trainers play a crucial role in helping AI systems learn to interpret data accurately by providing clean and well-organized training data. Their work often involves working closely with data scientists and engineers to improve model performance.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior data scientist, AI research director, or machine learning executive, often requiring advanced skills, extensive experience, and sometimes leadership responsibilities. These roles may involve developing complex algorithms, managing AI projects, or overseeing AI strategy within organizations. Compensation at this level reflects the expertise and impact of the role in driving AI innovation and business value.

What are the key skills and qualifications needed to thrive as a Data Trainer, and why are they important?

To thrive as a Data Trainer, you need a strong background in data analysis, machine learning concepts, and a relevant degree in computer science or a related field. Familiarity with data labeling platforms, annotation tools, and experience using programming languages like Python are typically required. Excellent communication, attention to detail, and the ability to convey technical information clearly help a Data Trainer stand out. These skills ensure high-quality, accurate data preparation that directly impacts the performance of machine learning models.

What are some common challenges Data Trainers face when preparing datasets for machine learning projects?

Data Trainers often encounter challenges related to data quality, such as inconsistencies, missing values, and labeling errors. Ensuring that datasets are well-structured and accurately annotated is crucial for producing reliable machine learning models. Collaborating closely with data scientists, subject matter experts, and sometimes external annotators is essential to clarify requirements and maintain high standards. Attention to detail and strong communication skills help Data Trainers resolve ambiguities and deliver clean, usable datasets.

How to become an AI data trainer?

To become an AI data trainer, you typically need a background in data analysis, machine learning, or related fields, along with strong skills in data labeling, annotation, and understanding AI model requirements. Familiarity with tools like Python, data management platforms, and annotation software is beneficial. Gaining experience through online courses, certifications, or entry-level data roles can help build relevant expertise.

Can I get paid to train AI?

Data trainers can be paid for training AI models by providing labeled data, annotations, or feedback to improve machine learning algorithms. This work often involves tasks like data labeling, quality assurance, and using tools such as annotation platforms, and may be done as freelance, contract, or full-time roles. Compensation varies based on experience, project scope, and the platform or employer.
More about Data Trainer jobs
What cities are hiring for Data Trainer jobs? Cities with the most Data Trainer job openings:
What states have the most Data Trainer jobs? States with the most job openings for Data Trainer jobs include:
What job categories do people searching Data Trainer jobs look for? The top searched job categories for Data Trainer jobs are:
Data Trainer jobs near you
Infographic showing various Data Trainer job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $64,984 per year, or $31.2 per hour.
AI Data Trainer - MS Suite - Remote

AI Data Trainer - MS Suite - Remote

micro1 AI

Dallas, TX • Remote

$35 - $50/hr

Part-time

Posted yesterday

New

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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