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Data Trainer Jobs (NOW HIRING)

EOS

Data Center Technical Trainer

New Albany, OH

$31.25 - $41.50/hr

Develop and deliver technical training programs for data center staff (e.g., hardware, networking, cooling systems, power management). * Create training materials including presentations, job aids ...

EOS

Data Center Technical Trainer

New Albany, OH · On-site

$70K - $90K/yr

Develop and deliver technical training programs for data center staff (e.g., hardware, networking, cooling systems, power management). * Create training materials including presentations, job aids ...

CBRE

Technical Trainer - Data Center

Monroe, LA · On-site

$31.25 - $41.50/hr

Technical Trainer (telecom/data center) About the job: The incumbent works with a growing team of trainers and Subject Matter Experts within a corporate university team environment and is responsible ...

Hope The Mission

Data Manager

Chatsworth, CA · On-site

$70K/yr

Develop and deliver data training presentations for staff at all levels * Provide ongoing technical assistance to ensure staff meet documentation requirements * Disseminate updates related to data ...

Princeton University

Athletic Trainer

Princeton, NJ · On-site

$70K - $75K/yr

... data collection, and analysis) needed to support and lead Quality Improvement projects and ... Training in health equity and other diversity and inclusion topics. * Familiarity with total work ...

Princeton University

Athletic Trainer

Princeton, NJ

$23.75 - $32.50/hr

... data collection, and analysis) needed to support and lead Quality Improvement projects and ... Training in health equity and other diversity and inclusion topics. * Familiarity with total work ...

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Data Trainer information

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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.
Aerial Data Collection Technicians

Aerial Data Collection Technicians

Accel Talent Group

Brookings, SD • On-site

Contractor

Re-posted 14 days ago

Job description

Salary: $22 hour

Were hiring Aerial Data Collection Technicians, no prior experience required.

You will operate data collection equipment for aircraft mapping and surveying projects. Great for candidates who are:

  • Detail-oriented
  • Technically curious
  • Comfortable with travel and structured work

Key Responsibilities

  • Operate onboard data collection equipment to capture mapping, imaging, or survey data (training provided)
  • Follow detailed, step-by-step procedures to ensure data is collected accurately and consistently
  • Monitor equipment and software systems in real time, identifying and communicating any issues or irregularities
  • Perform pre-flight setup and system checks to confirm all equipment is functioning properly before takeoff
  • Conduct post-flight tasks including powering down systems, securing equipment, and preparing data for transfer
  • Review and organize collected data files to ensure completeness, accuracy, and proper labeling for internal teams and clients
  • Maintain clear and accurate records of flight activities, data collection logs, and any issues encountered
  • Assist with basic troubleshooting, calibration, and routine maintenance of onboard equipment
  • Follow all safety procedures and operational guidelines while working in and around aircraft
  • Support continuous improvement by providing feedback on processes, equipment, and workflow efficiency

Not a pilot role. No aviation experience needed.

Ideal backgrounds: GIS, trades, IT support, military, drone hobbyists, or anyone looking to start a technical career.

If that sounds like you (or someone you know), apply today.