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Data Trainer Jobs in Alabama (NOW HIRING)

Aetos Systems

Facility Data Manager

Huntsville, AL · On-site +1

Provide advanced user support and training for facility management teams on data entry protocols, reporting tools, system workflows, and data governance practices. * Develop and maintain ...

PeopleTec, Inc.

Data Engineer

Huntsville, AL · On-site

$119K - $143K/yr

Opportunity PeopleTec is currently seeking a Senior Data Engineer to support our Huntsville, AL ... Whether it's through our continuing-education opportunities, our robust training programs, or our ...

MAT Holdings, Inc

Technical Trainer

Birmingham, AL

$29.75 - $39.50/hr

Excellent written and verbal communication skills with the ability to present data in an organized ... Instructional Training Experience - Classroom or on-the-job preferred Education/Experience:

MAT Holdings, Inc

Technical Trainer

Birmingham, AL · On-site +1

$29.75 - $39.50/hr

Excellent written and verbal communication skills with the ability to present data in an organized ... Instructional Training Experience - Classroom or on-the-job preferred Education/Experience:

PeopleTec, Inc.

Data Engineer

Huntsville, AL · On-site

$119K - $143K/yr

PeopleTec is currently seeking a Senior Data Engineer to support our Huntsville, AL location. Job ... Whether it's through our continuing-education opportunities, our robust training programs, or our ...

PeopleTec, Inc.

Data Engineer

Huntsville, AL · On-site

$119K - $143K/yr

Opportunity PeopleTec is currently seeking a Senior Data Engineer to support our Huntsville, AL ... Whether it's through our continuing-education opportunities, our robust training programs, or our ...

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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.
Data Trainer jobs near you
Infographic showing various Data Trainer job openings in Alabama as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 16% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Data Analyst - Mid

Cintel Inc

Huntsville, AL • On-site

Full-time

Posted 5 days ago

Job description

Position Title: Data Analyst Mid

Location: Huntsville, AL 

Position Type: Full-Time

Clearance: Top Secret Required


Position Overview:

We are seeking a Data Analyst Mid to support mission-focused programs in Huntsville. The ideal candidate will have strong experience performing data analysis, developing reporting solutions, and working directly with technical and functional teams to gather and define data requirements. The Data Analyst Mid will support data-driven decision making through analysis, visualization, documentation, and reporting activities in secure environments.



Responsibilities:

  • Develop and maintain dashboards, reports, and visualizations using PowerBI.
  • Extract, manipulate, and analyze data using SQL.
  • Work independently with cross-functional teams to gather, define, and document data analysis requirements.
  • Create and maintain data documentation, data dictionaries, and analytical procedures.
  • Utilize Python/R for Statistical scripting.
  • Support continuous improvement initiatives related to data processes and reporting capabilities.
  • Develop data analytics for desktop and web-developed visual analytic software.
  • Facilitate the bulk analysis of relational information utilizing advanced graphics, visualization, and high-performance computing.
  • Use the specified open source, COTS, and GOTS technologies when needed.
  • Establish an application that produces manageable, actionable intelligence from streams of a structured and semi-structured data.
  • Design strategies for enterprise database systems and set standards for operations, programming, and security. 
  • Design and construct large relational databases. 
  • Integrate new systems with existing warehouse structure and refine system performance and functionality.


Required Qualifications:

  • Active Top Secret (TS) security clearance.
  • Bachelor’s degree in Data Analytics, Computer Science, Information Systems, Mathematics, or related field (or equivalent experience).
  • Five (5)+ years of relevant experience.
  • Experience with Python and SQL for data analysis and reporting.
  • Experience developing dashboards and reports using PowerBI.
  • Knowledge of Data Pipelines & Warehousing (ETL/ELT).
  • Knowledge of Statistical Scripting such as Python/R.
  • Knowledge of Advanced Data Querying such as SQL.


Desired Qualifications:

  • Experience with Data pipelines and data transformation.
  • Experience with Cribl.




CULTURE REQUIREMENTS:

  • Engineers, Analysts, and Developers at Cintel, Inc. are highly motivated, technical, and self‐organized. We place a lot of trust in our team members to develop technical solutions for ill‐defined problems (i.e. thrive in an environment where the problem is vague, requirements are lacking, and a solution is not obvious). We need problem solvers.
  • We want our team members to be self‐motivated and eager to learn new skills. If you consider yourself a jack‐of‐all‐trades, and are eager to keep up with the latest trends in technology, you’ll fit right in.

ABOUT CINTEL, INC:

Cintel Inc. is a Small Business providing strategies and services to support an array of Government clients in Software Development, Operational/Tactical and Installation/Facilities Energy, Cyber Security, Modeling and Simulation, Data Science, and Programmatic support.

We offer our clients nimble, unique, and value focused solutions with an emphasis on people, connectivity, communication, and teamwork. Our team believes that people drive solutions. By connecting people, information, teams, and experience we deliver solutions that respond to customer needs.

It is the policy of Cintel that all persons are entitled to equal employment opportunity regardless of their race, color, religion, sex (including gender identity, sexual orientation, and pregnancy), national origin, age (40 or older), disability, genetic information, or veteran status. These policies shall ensure that the practice of nondiscrimination will be applied in the employment, promotion, upgrading, demotion, transfer, layoff, termination, recall or rehire of personnel. Equal employment opportunity applies to all terms and conditions of employment, including hiring, placement, promotion, termination, layoff, recall, transfer, leave of absence, compensation, and training.