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Data Trainer Jobs in Georgia (NOW HIRING)

Course Outline Unit 1 - Db2 Relational database concepts Relational Database design Data access Interacting with Db2 • Catalog and directory Unit 2 - SQL and SPUFI SQL SELECT statement review SQL ...

New

Data Engineer - GCP

Atlanta, GA · On-site +1

$110K - $132K/yr

Our Google Cloud Data Engineer will play a key role in designing, developing, and managing scalable ... Professional development and training opportunities (including GCP certification). * Flexible work ...

Data Engineer - GCP

Atlanta, GA · On-site +1

$110K - $132K/yr

Our Google Cloud Data Engineer will play a key role in designing, developing, and managing scalable ... Professional development and training opportunities (including GCP certification). * Flexible work ...

Data Engineer - GCP

Atlanta, GA · On-site

$110K - $132K/yr

Our Google Cloud Data Engineer will play a key role in designing, developing, and managing scalable ... Professional development and training opportunities (including GCP certification). * Flexible work ...

Technical Operations Trainer

Duluth, GA · On-site

$30 - $39.75/hr

The role of a Technical Operations Trainer for QTS Data Centers involves developing and delivering comprehensive training programs related to the operations, maintenance and administrative processes ...

... training. Experience • 3+ years of experience in data science, machine learning, or related analytical roles. • 3+ years of experience with Python and data science libraries (pandas, NumPy ...

Provides for training and support for other team members. Explores and examines data from multiple sources. The Data Scientist sifts through all incoming data with the goal of discovering previously ...

... training. Experience • 3+ years of experience in data science, machine learning, or related analytical roles. • 3+ years of experience with Python and data science libraries (pandas, NumPy ...

Provides for training and support for other team members. • Explores and examines data from multiple sources. The Data Scientist sifts through all incoming data with the goal of discovering ...

Individuals in this role can also support the development and training of junior staff. A Senior Data Scientist I should be self-sufficient in executing basic methods, and work within their teams to ...

Data Scientist

Alpharetta, GA · On-site

$95.30 - $158.80/hr

Individuals in this role can also support the development and training of junior staff. A Senior Data Scientist I should be self-sufficient in executing basic methods, and work within their teams to ...

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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 Georgia 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.

Full-time

Re-posted 16 days ago


Job description

Overview:
Role: Azure Data scientist
Location: Atlanta GA
#Role is on-site, Must relocate
Must w2 Role
should have subject matter expertise in applying data science and machine learning to implement and run machine learning workloads on Azure. Additionally, you should have knowledge of optimizing language models for AI applications using Azure AI.
Your responsibilities for this role include:
  • Designing and creating a suitable working environment for data science workloads.
  • Exploring data.
  • Training machine learning models.
  • Implementing pipelines.
  • Running jobs to prepare for production.
  • Managing, deploying, and monitoring scalable machine learning solutions.
  • Using language models for building AI applications.

Skills:
Azure,Data Science,Machine Learning