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Data Trainer Jobs in Alabama (NOW HIRING)

Data Architect

Mobile, AL · On-site

$63.25 - $81.25/hr

We are seeking an experienced Data Architect who can design and support scalable enterprise data ... training, and experience Due to the potential for involvement with U.S. aerospace programs and ...

Data Layer & Feature Store: Snowflake * Model Deployment: Snowflake ML Functions, Snowpark ... MLflow Typical work includes building and maintaining feature stores Snowflake/dbt, training and ...

Data Layer & Feature Store: Snowflake * Model Deployment: Snowflake ML Functions, Snowpark ... MLflow Typical work includes building and maintaining feature stores Snowflake/dbt, training and ...

Job #218613 Chipton-Ross is seeking a Data Scientst for a hybrid contract opportunity in Huntsville ... This policy governs all areas of employment at Chipton-Ross, including recruiting, hiring, training ...

Overview SOSi is seeking a Data Scientist to join our analytics team working on an innovative MLOps ... Potential travel for conferences, training, or meetings with stakeholders. Working at SOSi All ...

Overview SOSi is seeking a Data Scientist to join our analytics team working on an innovative MLOps ... Potential travel for conferences, training, or meetings with stakeholders. Working at SOSi All ...

Data Architect

Mobile, AL

$63.25 - $81.25/hr

We are seeking an experienced Data Architect who can design and support scalable enterprise data ... training, and experience Due to the potential for involvement with U.S. aerospace programs and ...

Radiance Technologies, a rapidly growing employee-owned company, is seeking a talented Data Analyst to support the Test and Training Group. This individual will support in the analysis of data from ...

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 ...

Overview The Data Manager supports the Missile Defense Agency's Information Management and Software ... Participate in cross-training; contribute to onboarding materials and lessons learned to support ...

Radiance Technologies, a rapidly growing employee-owned company, is seeking a talented Data Analyst to support the Test and Training Group. This individual will support in the analysis of data from ...

This role focuses on RF data analysis, and detailed customer driven report generation. The role ... Additional experience, education, or training may be considered. * Current DoD Top Secret clearance ...

Data Analyst

Huntsville, AL · On-site

$87K - $157K/yr

This role focuses on RF data analysis, and detailed customer driven report generation. The role ... Additional experience, education, or training may be considered. * Current DoD Top Secret clearance ...

Data Analyst

Huntsville, AL · On-site

$87K - $157K/yr

This role focuses on RF data analysis, and detailed customer driven report generation. The role ... Additional experience, education, or training may be considered. * Current DoD Top Secret clearance ...

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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.
Infographic showing various Data Trainer job openings in Alabama as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 1% Temporary, and 3% Contract. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution.

Manager, Grant and Data Review - 21st Century Community Learning Centers (CCLC) - 005343

University of South Alabama

Mobile, AL • On-site

Full-time

Posted 27 days ago


University Of South Alabama rating

7.3

Company rating: 7.3 out of 10

Based on 23 frontline employees who took The Breakroom Quiz

358th of 614 rated colleges and universities


Job description

Posting Details
Position Information
Position Number
005343
Position Title
Manager, Grant and Data Review - 21st Century Community Learning Centers (CCLC) - 005343
Division
Academic Affairs
Department
440100 - Dean of Education & Prof Studies
Minimum Qualifications
Bachelor's degree in a related field from an accredited institution as approved and accepted by the University of South Alabama and three years of directly related experience. An equivalent combination of education and experience may be considered.
Preferred Qualifications
Master's degree preferred. Experience administering and auditing student information databases is highly preferred.
Job Description Summary
The University of South Alabama's College of Education and Professional Studies is seeking to hire a Manager, Grant and Data Review - 21st Century Community Learning Centers (CCLC). Interested candidates should apply to be considered.
Essential Functions
These are the job duties required of the position.
Essential Functions
  • Oversees data collection/reporting to ensure data are accurate, complete, and on time.
  • Provides training and support for subgrantees related to data collection/reporting and provides administrative support to the project.
  • Supports Alabama State Department of Education (ALSDE) 21st Century Community Learning Centers (CCLC) representatives by managing all aspects of the peer-review process for the upcoming 21st CCLC grant competition to include leading the recruitment, selection, training, and support of peer reviewers, and processing payment to grant reviewers for training and applications reviewed.
  • Ensures that peer reviewers are well-trained, qualified, and supported, and that the grant scoring process is conducted in accordance with federal guidelines, conflict-of-interest policies, and ALSDE-established scoring protocols.
  • Collaborates with the Manager, Subgrantee Support to provide support to subgrantees.
  • Provides assistance to 21st CCLC subgrantees and ALSDE 21st CCLC representatives to ensure Government Performance and Results Act (GPRA) data submitted by subgrantees and extracted from PowerSchool into the USDOE 21APR data collection system is accurate, complete, and submitted by established deadlines.
  • Develops a yearly calendar for data training, collection, and entry (to be approved by the ALSDE).
  • Provides training on data collection and reporting systems.
  • Provides notification of upcoming deadlines.
  • Provides reports to subgrantees and ALSDE representatives on completion and accuracy of data entry into the web-based data collection system (EZ Reports or equivalent).
  • Aggregates large-scale student data from multiple sources, audits entries for missing metrics and maps them to federal Government Performance and Results Act (GPRA) indicators.
  • Serves as back up for Manager, Subgrantee Support as needed.
  • Regular and prompt attendance.
  • Ability to work schedule as defined and additional hours as required.
  • Related duties as required.

Posting Information
Number of Vacancies
1
Position End Date (if temporary)
Job Open Date
07/09/2026
Job Close Date
Open Until Filled
Yes
Special Instructions to Applicants
Working Days
Monday - Friday
Working Hours
8:00 a.m. - 5:00 p.m.
Job Location
University Commons (University Blvd./Old Shell Rd.)
Full-time or Part-Time
Full Time
Regular or Temporary
Regular

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