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Data Trainer Jobs (NOW HIRING)

SRP Systems Inc

Big Data Trainer

Princeton, NJ

$55.50 - $72/hr

We are looking to hire a part-time trainer in Big Data and Hadoop that can train our students in the evenings or weekends. Qualifications: * 3+ years of experience in Hadoop, Map/Reduce, Hive, Pig

Welo Global

Project Epsilon - Somali Data Trainer

$24/hr

About the Role We are looking for detail-oriented Trainers to support an AI data annotation project. In this role, you will review pre-seeded questions paired with images and provide accurate "golden ...

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 ...

SpecialtyRx, Inc.

Data Entry Trainer

Grand Prairie, TX

$16 - $21.50/hr

As a Data Entry Trainer, you will be responsible for conducting, developing, and facilitating training materials for new and current hires to meet and exceed all aspects of SpecialtyRx. The position ...

SPECIALTY RX, Inc.

Data Entry Trainer

Grand Prairie, TX · On-site

$16 - $21.50/hr

As a Data Entry Trainer, you will be responsible for conducting, developing, and facilitating training materials for new and current hires to meet and exceed all aspects of SpecialtyRx. The position ...

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Data Trainer information

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How much do data trainer jobs pay per hour?

As of Aug 24, 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.

What is a data trainer?

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 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.

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 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.

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What states have the most Data Trainer jobs?

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Data Trainer jobs near you
Infographic showing various 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.

Big Data Trainer

SRP Systems Inc

Princeton, NJ

$55.50 - $72/hr

Full-time

Re-posted 27 days ago

Job description

Company Description

SRP is a big data company located in Princeton, NJ focused on Dynamic Pricing, run by seasoned alumni from Stanford University and Wharton.

Job Description

We are looking to hire a part-time trainer in Big Data and Hadoop that can train our students in the evenings or weekends.
Qualifications:
* 3+ years of experience in Hadoop, Map/Reduce, Hive, Pig
* Strong experience in one of the Hadoop distributions such Cloudera or Hortonworks
* Experience in Spark
* Experience in handling large data sets on AWS or similar
Past experience in training students in a classroom settings is helpful although mandatory. Send us your resume immediately if interested.

Additional Information

All your information will be kept confidential according to EEO guidelines.

Apply