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Data Trainer Jobs (NOW HIRING)

TEKsystems

Data Center Technician Trainer

Columbus, OH

$22 - $27/hr

As part of this initiative, we are hiring Associate Technical Trainers to help train the next generation of skilled technicians entering the data center and telecom industry. This role is ideal for ...

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 ...

TEKsystems

Data Center Technician Trainer

Columbus, OH

$22 - $27/hr

As part of this initiative, we are hiring Associate Technical Trainers to help train the next generation of skilled technicians entering the data center and telecom industry. This role is ideal for ...

Alignerr

Electrical Engineering

New Bremen, OH · Remote

Electrical Engineering -- AI Data Trainer About The Role We partner with the world's leading AI research labs to build and train the next generation of AI models -- and we need expert electrical ...

Alignerr

Health Policy & Management

Seattle, WA · Remote

$123K - $132.70K/yr

Health Policy & Management - AI Data Trainer About the Role Your public health expertise is more valuable than you think - especially to the AI systems that are rapidly becoming a primary source of ...

Rime Labs

Machine Learning Engineer, Data

San Francisco, CA · On-site

$134.90K - $162K/yr

Machine Learning Engineer, Data & Training Infrastructure Rime builds voice AI for enterprises running customer experiences at scale. Our text-to-speech models are purpose-built for high-volume ...

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How much do data trainer jobs pay per hour?

As of May 30, 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 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.

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 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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Data Trainer jobs near you
Infographic showing various Data Trainer job openings in the United States as of May 2026, with employment types broken down into 13% As Needed, 49% Full Time, and 38% Part Time. Highlights an 95% Physical, 3% Hybrid, and 2% Remote job distribution, with an average salary of $64,984 per year, or $31.2 per hour.
Operational Data Transformation Manager

Operational Data Transformation Manager

Surgery Partners

Brentwood, TN • Hybrid

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 11 days ago

Surgery Partners rating

7.5

Company rating: 7.5 out of 10

Based on 78 frontline employees who took The Breakroom Quiz

216th of 864 rated healthcare providers

Job description

Operational Data Transformation Manager - Hybrid Opportunity

This is a hybrid position based at our corporate office in Brentwood, TN, with on-site work required Monday through Wednesday.

The Operational Data Transformation Manager is a critical leader in Surgery Partners’ transformation into a data-driven operating organization. This role combines three key capabilities: 1) Deep knowledge of Ambulatory Surgery Center (ASC) operations, 2) Deep understanding of data and analytics and the ability to translate insights into action, and 3) Expertise in building and delivering data training programs. This position will empower operational leaders and facility staff to leverage data tools for informed decision-making, driving operational excellence across the enterprise.

Responsibilities:

  • Disseminate Data Tools: Deliver data tools to operations leaders and ensure effective adoption.
  • Training and Education: Conduct group and individual training sessions for operations leaders on using data tools to drive business decisions.
  • Feedback and Continuous Improvement: Collect insights from the field and collaborate with the analytics build team to enhance existing tools and develop new ones.
  • Best Practices Sharing: Promote best practices for data tool utilization across operational leadership.
  • Facility-Level Training: Train facility staff on proper data input and management to meet data standards and optimize tool performance.
  • Champion Data-Driven Culture: Serve as a key advocate for data-driven decision-making across the organization.
  • Lead Data Communications: Drive communication strategy about data priorities, new product releases, changes to standards

Qualifications:

Experience: 5+ years working in or leading Ambulatory Surgery Centers or Surgical Hospitals. Proven ability to use data to drive operational insights and improvements.

Skills: Strong training and communication skills with the ability to engage diverse audiences. Comfort with data analytics concepts and tools.

Other: Willingness to travel for training events and stakeholder engagement.

Preferred Skills:

  • Experience developing and delivering training programs.
  • Familiarity with data visualization and reporting tools (e.g., Power BI, Excel).
  • Ability to translate complex data concepts into practical, actionable guidance for non-technical users.
  • Strong organizational and relationship-building skills.

Why Join Us?

  • Play a pivotal role in shaping a data-driven culture at Surgery Partners.
  • Broad exposure to operational leadership and strategic initiatives.
  • Significant career advancement opportunities in operations or corporate roles after success in this position.
  • Flexible work options: hybrid in Nashville or remote outside Nashville.

Benefits:

  • Comprehensive health, dental, and vision insurance
  • Health Savings Account with an employer contribution
  • Life Insurance 
  • PTO
  • 401(k) retirement plan with a company match
  • And more! 

ENVIRONMENTAL/WORKING CONDITIONS: Normal busy office environment with much telephone work. Possible long hours as needed. The description is intended to provide only basic guidelines for meeting job requirements. Responsibilities, knowledge, skills, abilities and working conditions may change as needs evolve.

*If you are viewing this role on a job board such as Indeed.com or LinkedIn, please know that pay bands are auto assigned and may not reflect the true pay band within the organization.

*No Recruiters Please

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