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Full Time Machine Learning Data Annotation Jobs in Atlanta, GA

Staff Machine Learning Engineer

Atlanta, GA · On-site +1

$220K - $280K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Partner with Data Science to build scalable logging and data pipelines. You will lead the creation ... In addition to your great compensation package, full-time employees will be eligible for the ...

Partner with data science teams to transition machine learning models from experimentation to ... full-time basis and must not require The Coca-Cola Company's sponsorship to continue to work ...

Staff Machine Learning Engineer

Atlanta, GA · On-site +1

$162K - $342K/yr

  • Medical

  • Retirement

As a Staff Machine Learning Engineer , you will design, build, and deploy machine learning systems ... Build andmaintainscalable data pipelines for model training, evaluation, andrealtime/batch ...

Discovery-serving as a company-wide authority in advanced Data Science, Machine Learning, and Applied AI. This role is designed for an elite practitioner with 15-18+ years of experience, including 10 ...

About Us We are AI researchers and builders who understand how to curate data and RL environments ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...

About Us We are AI researchers and builders who understand how to curate data and RL environments ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...

Machine Learning Lead Engineer

Atlanta, GA · On-site +1

$134K - $224K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Company Cox Automotive - USA Job Family Group Data Intelligence & Science Job Profile Machine Learning Lead Engineer Management Level Manager - Non People Leader Flexible Work Option Hybrid - Ability ...

You will effectively engage with data scientists, ML engineers, PMs and architects in requirements ... Proven understanding of machine learning algorithms (supervised, unsupervised) and model evaluation ...

Machine Learning Lead Engineer

Atlanta, GA · On-site

$134K - $224K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Company Cox Automotive - USA Job Family Group Data Intelligence & Science Job Profile Machine Learning Lead Engineer Management Level Manager - Non People Leader Flexible Work Option Hybrid - Ability ...

Showing results 21-40

Full Time Machine Learning Data Annotation information

See Atlanta, GA salary details

$36.1K

$118K

$189K

How much do full time machine learning data annotation jobs pay per year?

As of Aug 14, 2026, the average yearly pay for full time machine learning data annotation in Atlanta, GA is $118,032.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,700.00 and $130,800.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a full time machine learning data annotation specialist, and why are they important?

To thrive as a Full Time Machine Learning Data Annotation Specialist, you need strong attention to detail, basic data literacy, and familiarity with data labeling concepts, often supported by a high school diploma or equivalent. Proficiency in specialized annotation platforms, spreadsheet tools, and sometimes knowledge of Python or labeling frameworks is typically required. Reliability, patience, and effective communication are valuable soft skills for ensuring accuracy and collaborating with team members. These skills and qualities are crucial because they directly impact the quality of training data, which is essential for developing effective machine learning models.

What is a full time machine learning data annotation job?

Full time machine learning data annotation jobs involve labeling, tagging, or categorizing data such as images, text, audio, or video to help train machine learning models. Data annotators play a crucial role in ensuring that AI systems learn from high-quality, accurately labeled datasets. These positions often require attention to detail, consistency, and sometimes familiarity with the subject matter or specialized tools. Full-time roles may be remote or onsite and can span industries like autonomous vehicles, healthcare, retail, and more.

What are some common challenges faced by machine learning data annotators, and how are these typically addressed within a team?

Machine learning data annotators often encounter challenges such as maintaining consistency in labeling, handling ambiguous data, and meeting tight deadlines for large datasets. Teams usually address these by establishing clear annotation guidelines, conducting regular training sessions, and implementing quality assurance processes like peer reviews and spot checks. Collaboration with data scientists and project managers is also common, ensuring that annotators can ask questions and clarify uncertainties, leading to higher-quality labeled data and a supportive work environment.

What is the difference between Full Time Machine Learning Data Annotation vs Data Labeling Specialist?

AspectFull Time Machine Learning Data AnnotationData Labeling Specialist
CredentialsHigh school diploma or equivalent; some roles prefer technical certificationsHigh school diploma or equivalent; training often provided on the job
Work EnvironmentOffice or remote; collaborative with data science teamsRemote or office; focused on labeling tasks
Industry UsageUsed across AI/ML companies, tech firms, and startupsCommon in AI/ML, data services, and outsourcing companies
Job FocusCreating labeled datasets for machine learning modelsAnnotating data such as images, videos, or text for AI training

Full Time Machine Learning Data Annotation involves creating high-quality labeled datasets for AI models, often requiring technical understanding. Data Labeling Specialists focus on annotating data accurately, typically with less emphasis on technical skills. Both roles are essential in AI development but differ mainly in scope and technical complexity.

What are the most commonly searched types of Machine Learning Data Annotation jobs in Atlanta, GA?

The most popular types of Machine Learning Data Annotation jobs in Atlanta, GA are:

What are popular job titles related to Full Time Machine Learning Data Annotation jobs in Atlanta, GA?

For Full Time Machine Learning Data Annotation jobs in Atlanta, GA, the most frequently searched job titles are:

What job categories do people searching Full Time Machine Learning Data Annotation jobs in Atlanta, GA look for?

The top searched job categories for Full Time Machine Learning Data Annotation jobs in Atlanta, GA are:

Infographic showing various Full Time Machine Learning Data Annotation job openings in Atlanta, GA as of June 2026, with employment types broken down into 1% Locum Tenens, 82% Full Time, 16% Part Time, and 1% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $118,032 per year, or $56.7 per hour.

Full-time

Re-posted 22 days ago


Job description

Job Description

Full-Time

We are looking for a passionate certified Data Analyst. The successful candidate will turn data into information, information into insight and insight into business decisions. Data analyst responsibilities include conducting a full lifecycle analysis to include requirements, activities and design. Data analysts will develop research and reporting capabilities. They will also monitor performance and quality control plans to identify improvements. 

 Responsibilities 

Interpret data, analyze results using statistical techniques and provide ongoing reports 

Develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality 

Acquire data from primary or secondary data sources and maintain databases/data systems 

Identify, analyze, and interpret trends or patterns in complex data sets 

Filter and "clean" data by reviewing computer reports, printouts, and performance indicators to locate and correct code problems 

Work with management to prioritize business and information needs 

Locate and define new process improvement opportunities Requirements And Skills 

Proven working experience as a Data Analyst or Business Data Analyst 

Technical expertise regarding data models, database design development, data mining and segmentation techniques 

Strong knowledge of and experience with reporting packages (Business Objects etc), databases (SQL, etc), programming (XML, Javascript, or ETL frameworks) 

Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SPSS, SAS, etc) 

Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy 

Adept at queries, report writing and presenting findings 

BS in Mathematics, Economics, Computer Science, Information 

Management or Statistics Skills: SQL, python, r, excel, tableau, power bi,was, spss, data visualization, data mining, machine learning, data warehousing, data modeling, data architecture, data management, statistics, business intelligence, data quality

Additional Information

Full-time