1

Data Trainer Jobs in Arizona (NOW HIRING)

We are offering online training on Data Engineer. . Provide OPT Stem Ext.: Guidance and support for applying for the 24-month OPT STEM extension * Help with OPT Employment letter: Help with drafting ...

... training on Data Engineer. . Provide OPT Stem Ext.: Guidance and support for applying for the 24-month OPT STEM extension * Help with OPT Employment letter: Help with drafting and obtaining OPT ...

Trainer

Gilbert, AZ ยท On-site

Our product line includes large-scale equipment such as air handling units and modular data centers ... The Operations Training Coordinator provides hands on technical training to employees of Johnson ...

Trainer

Gilbert, AZ ยท On-site

Our product line includes large-scale equipment such as air handling units and modular data centers ... The Operations Training Coordinator provides hands on technical training to employees of Johnson ...

Data Analyst

Tucson, AZ ยท On-site

Our mission is to empower professionals through advanced training, project placement, and long-term career development in cutting-edge technologies like Data Science, AI, and Cloud Computing. Join ...

Data Analyst

Tucson, AZ ยท On-site

Our mission is to empower professionals through advanced training, project placement, and long-term career development in cutting-edge technologies like Data Science, AI, and Cloud Computing. Join ...

Data Architect

Chandler, AZ ยท On-site

$61.50 - $79/hr

Implement and support machine learning workflows in SageMaker for model training, deployment, and monitoring. * Leverage AWS Bedrock to build and deploy conversational AI solutions. * Ensure data ...

DATA ANALYST

Tempe, AZ ยท On-site

$35K - $37K/yr

Data Analyst Arizona State University Campus: Tempe JR123549 End Date: August 1, 2026 Apply before ... OR, Any equivalent combination of experience and/or training from which comparable knowledge ...

Senior Trainer

Tempe, AZ ยท On-site

$60K/yr

Become a go-to resource for training tools and keep training data accurate, timely, and ready to support business decisions. * Coordinate, analyze and consolidate all necessary data to deliver ...

Data Analyst

Phoenix, AZ ยท On-site

$90K - $130K/yr

Role - Data Analyst Experience Required - 8+ Years Must Have Technical/Functional Skills SQL , Data ... Commuter Benefits & Certification & Training Reimbursement. Time Off: Vacation, Time Off, Sick ...

Become a go-to resource for training tools and keep training data accurate, timely, and ready to support business decisions. * Coordinate, analyze and consolidate all necessary data to deliver ...

Data Integration Work with cross-functional teams to define data governance roles and responsibilities, and provide training sessions to educate stakeholders on data governance concepts and ...

Proven experience training and evaluating supervised and unsupervised ML models. * Advanced SQL skills; comfort working with large, complex, and disparate data sources including event-based and time ...

Proven experience training and evaluating supervised and unsupervised ML models. * Advanced SQL skills; comfort working with large, complex, and disparate data sources including event-based and time ...

next page

Showing results 1-20

Data Trainer information

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 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 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 do you become a data trainer?

To become a data trainer, you typically need a strong background in data analysis, statistics, or related fields, along with experience in data tools like Excel, SQL, or Python. Relevant certifications, such as those in data science or analytics, can enhance your qualifications. Good communication skills and the ability to design training materials are also important for success in this role.
Infographic showing various Data Trainer job openings in Arizona as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Arizona Spring Training Data Operations (PHOENIX area, AZ)

MLB Data Operations

Phoenix, AZ โ€ข On-site

$25/hr

Part-time

Posted 2 days ago

New


Job description

Major League Baseball is seeking Data Operations seasonal personnel to train during the Arizona Fall League in preparation for Cactus League Spring Training positions in the Phoenix, AZ area.

MLB Data Operations personnel are responsible for digitally scoring games from the MLB ballparks, which provides the data used in the live content applications on MLB.com, including At-Bat, Gameday and MLB.TV, real-time highlights and text alerts, and by our business partners. This is a perfect part-time job for a responsible, computer-savvy person who happens to be a big baseball fan.

This is a seasonal role that requires regular onsite attendance at the ballpark. MLB does not provide any form of relocation assistance andย you will be responsible for your transportation needs. Please apply forย positions in the market where you are currently located.

Responsibilities

  • Be available to work select Arizona Fall League mid-day and night games in October and November for training purposes.
  • Be available to work during the Arizona Cactus League mid-day games in late-February and March.
  • During the game, enter the results of every pitch and game event (plays, substitutions, etc.) using our proprietary software and coding language
  • Work closely with our game-night support staff (via Slack) to ensure proper scoring of all game events and accuracy of data
  • After the game, enter all post-game information and validate all stats and data in our scoring software against the box score provided by the Official Scorer.
  • Routine day-to-day correspondence via email, Slack, voice call and/or text message, to keep current with coverage schedules and other scheduled assignments.
  • Other game-day responsibilities during Spring Training, the regular season and/or Postseason as determined by Data Operations supervisor(s).

Qualifications and Skills

  • Exceptional (and demonstrable) knowledge of baseball and how to score a baseball game
  • Strong computer proficiency (Windows OS, Windows-based software and Chrome browser) and the ability to quickly learn and operate new software
  • Knowledge and use of Slack chat software
  • Network connection management (Ethernet, Wifi enabling/Disabling; test MAC Address)
  • Previous experience (including pressbox exposure) with a professional or college sports team, preferably baseball, is preferred.
  • Regular availability to attend games in-person as required by the schedule: weekdays, nights and weekends
  • A "team player" with a great attitude, including but not limited to a willingness to make and learn from mistakes and the ability to work closely and cooperatively (and take direction from) our game-night staff

Pay Range: $25.00 per hour

The actual offer will carefully consider a wide range of factors, including your work experience, education, skills, and any other factors MLB considers relevant to the hiring decision.

There is a correspondence training program before working any games solo in the ballpark.

ONLY those who reply to this link will be considered, and due to volume, we may be unable to respond to all applicants.