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Data Trainer Jobs in Arizona (NOW HIRING)

$49K/yr

The program offers a 3-year formal training plan with yearly salary increases. Promotions and ... Mathematics, statistics, computer science, data science or field directly related to the position.

Senior Trainers provide, coordinate, analyze and consolidate all necessary training material and performance data in order to ensure that training is delivered in a timely and accurate manner ...

Data Engineer

Flagstaff, AZ · On-site

$114K - $137K/yr

... training. This means designing observation spaces, action spaces, reward signals, and success ... Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in ...

Data Engineer

Scottsdale, AZ

$115K - $138K/yr

... training. This means designing observation spaces, action spaces, reward signals, and success ... Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in ...

Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

... training. This means designing observation spaces, action spaces, reward signals, and success ... Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in ...

Data Engineer

Mesa, AZ

$113K - $136K/yr

... training. This means designing observation spaces, action spaces, reward signals, and success ... Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in ...

Data Engineer

Flagstaff, AZ

$114K - $137K/yr

... training. This means designing observation spaces, action spaces, reward signals, and success ... Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in ...

Data Engineer

Mesa, AZ · On-site

$113K - $136K/yr

... training. This means designing observation spaces, action spaces, reward signals, and success ... Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in ...

Data Engineer

Chandler, AZ

$112K - $135K/yr

... training. This means designing observation spaces, action spaces, reward signals, and success ... Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in ...

Company Description We specialize in Staffing, Consulting, Software Development, and Training along ... Data Analysis, * data warehousing, * SSRS, * Business Objects, * T-SQL, * Testing and Healthcare ...

Data Engineer

Phoenix, AZ

$113K - $136K/yr

... training. This means designing observation spaces, action spaces, reward signals, and success ... Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in ...

Data Engineer

Glendale, AZ

$113K - $136K/yr

... training. This means designing observation spaces, action spaces, reward signals, and success ... Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in ...

Data Engineer

Chandler, AZ · On-site

$112K - $135K/yr

... training. This means designing observation spaces, action spaces, reward signals, and success ... Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in ...

Data Engineer

Scottsdale, AZ · On-site

$115K - $138K/yr

... training. This means designing observation spaces, action spaces, reward signals, and success ... Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in ...

Data Engineer

Tucson, AZ

$106K - $127K/yr

... training. This means designing observation spaces, action spaces, reward signals, and success ... Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in ...

Showing results 21-40

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.

$50K/yr

Full-time

Posted 10 days ago


U.S. Department Of Homeland Security rating

7.8

Company rating: 7.8 out of 10

Based on 86 frontline employees who took The Breakroom Quiz

93rd of 289 rated public sector bodies


Job description

The Office of Inspector General (OIG) is an independent office whose mission is to promote excellence, integrity, and accountability throughout the Department of Homeland Security (DHS). In our dynamic environment, the OIG conducts investigations, audits, evaluations, and inspections to enhance program effectiveness and efficiency and to detect and prevent waste, fraud, and mismanagement in DHS programs and operations.Qualifications:Minimum Qualifications GS-07: Must have at least one year of specialized experience equivalent to GS-05 grade level in the Federal service. Specialized experience for this position includes:
  • Applying basic statistical analyses to make informed projections, data driven decisions, and recommendations based on findings.
  • Writing and modifying scripts with open-source language such as R or Python to apply quantitative techniques (e.g., descriptive and inferential statistics, sampling, experimental design, parametric and non- parametric tests of difference, ordinary least squares regression, general line) with close supervision or detailed instructions.
  • Creating or updating logical data models to deliver integrated data to end users for use in a variety of analytical software tools, including but not limited to graphical link analysis software, statistical analysis, geospatial software, visualization software, and natural language processing software.
  • Assisting in preparing written reports, data summaries, or presentation materials that describe analytical approaches and results for non-technical staff.
Minimum Qualifications GS-09: Must have at least one year of specialized experience equivalent to GS-07 grade level in the Federal service. Specialized experience for this position includes:
  • Applying basic statistical analyses to make informed projections, data driven decisions, and recommendations based on findings.
  • Writing and modifying scripts

    with

    open source language such as R or Python to apply quantitative techniques (e.g., descriptive and inferential statistics, sampling, experimental design, parametric and non- parametric tests of difference, ordinary least squares regression, general line) under supervision or with detailed guidance.
  • Creating or updating logical data models to deliver integrated data to end users for use in a variety of analytical software tools, including but not limited to graphical link analysis software, statistical analysis, geospatial software, visualization software, and natural language processing software.
  • Assisting in the preparation of written reports, data summaries, or presentation materials that describe analytical approaches and results for non-technical staff.

Experience refers to paid and unpaid experience, including volunteer work done through National Service programs (e.g., Peace Corps, AmeriCorps) and other organizations (e.g., professional; philanthropic; religious; spiritual; community, student, social). Volunteer work helps build critical competencies, knowledge, and skills and can provide valuable training and experience that translates directly to paid employment. You will receive credit for all qualifying experience, including volunteer experience.
The qualification requirements listed above must be met by the closing date 09/02/2026of this announcement.
The Office of Personnel Management (OPM) must authorize employment offers made to current or former political appointees. If you are currently, or have been within the last 5 years, a political Schedule A, Schedule C, Non-career SES or Presidential Appointee employee in the Executive Branch, you must disclose this information to the Human Resources Office.Education:Basic Requirements:
A. Degree: Mathematics, statistics, computer science, data science or field directly related to the position. The degree must be in a major field of study (at least at the baccalaureate level) that is appropriate for the position.
OR
B. Combination of education and experience: Courses equivalent to a major field of study (30 semester hours) as shown in paragraph A above, plus additional education or appropriate experience.
Employment Type: OTHER

What U.S. Department Of Homeland Security employees say

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Benefits

Hours and flexibility

Workplace

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U.S. Department of Homeland Security logo

About U.S. Department of Homeland Security

Sourced by ZipRecruiter

The US Department of Homeland Security (DHS) is a federal agency operating within the government services industry in Washington, DC, US. Established in 2003, the DHS is directly responsible for public security, roughly comparable to the interior or home ministries of other countries. Its main responsibilities include protecting the United States from and responding to terrorist attacks, man-made accidents, and natural disasters. Through its more than 20 component agencies including Coast Guard, Customs and Border Protection, Immigration and Customs Enforcement, it ensures the safety of the US through numerous programs and initiatives. The DHS upholds a core value system with the mission of safeguarding the American people, our homeland, and values. Notably, the DHS plays a critical role in the spectral range of activities to prepare, prevent, and respond to possible threats to the US.

Industry

Public administration

Company size

10,000+ Employees

Headquarters location

Washington, DC, US

Year founded

2003