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Data Annotation Engineer Jobs in Atlanta, GA (NOW HIRING)

... Data Formats (REST, JSON, SOAP & XML). * 3+ Experience in API management tools like Apigee Edge in ... Strong knowledge in API Modelling languages and annotation (YAML, Swagger, RAML) * Strong ...

Responsibilities : • Own the prompt engineering lifecycle for assigned AI features -- from ... data, and quality guidance that shapes what the system produces • Work directly with editorial ...

Principal Software Engineer

Atlanta, GA · On-site

$129K - $174K/yr

Design and review complex changes to the workflow framework (BaseWorkflow, APIWorkflow, annotation ... Demonstrated ability to design data models and schemas and to drive system behavior from ...

Principal Software Engineer

Atlanta, GA

$129K - $174K/yr

Design and review complex changes to the workflow framework (BaseWorkflow, APIWorkflow, annotation ... Demonstrated ability to design data models and schemas and to drive system behavior from ...

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Data Annotation Engineer information

See Atlanta, GA salary details

$49.5K

$141.8K

$189.4K

How much do data annotation engineer jobs pay per year?

As of Jun 10, 2026, the average yearly pay for data annotation engineer in Atlanta, GA is $141,807.00, according to ZipRecruiter salary data. Most workers in this role earn between $80,800.00 and $188,500.00 per year, depending on experience, location, and employer.

What are the main challenges faced by Data Annotation Engineers in their daily work?

One of the main challenges Data Annotation Engineers face is ensuring consistent accuracy and quality in labeling large and often complex datasets. Attention to detail is critical, as even small errors can significantly affect machine learning model performance. Additionally, engineers must frequently adapt to evolving annotation guidelines and emerging data types, which requires ongoing learning and flexibility. Collaboration with data scientists and project managers is common to clarify requirements and resolve ambiguities, making strong communication skills essential for success.

What are the key skills and qualifications needed to thrive in the Data Annotation Engineer position, and why are they important?

To thrive as a Data Annotation Engineer, you need a strong background in data analysis, attention to detail, and familiarity with annotation processes, often supported by a degree in computer science or a related field. Proficiency with annotation tools like Labelbox, CVAT, or VIA, and understanding of data formats used in machine learning, is commonly required. Excellent communication, collaboration, and organizational skills help you effectively manage projects and cooperate with cross-functional teams. These abilities are crucial for delivering high-quality labeled data, which directly impacts the performance of AI and machine learning models.

What is a Data Annotation Engineer job?

A Data Annotation Engineer is responsible for labeling and annotating data—such as text, images, audio, or video—to train machine learning models. They ensure that data is accurately categorized and structured to improve model performance. This role often involves using specialized annotation tools, following detailed guidelines, and working closely with data scientists and AI teams. Data Annotation Engineers play a crucial role in the development of AI applications by providing high-quality labeled datasets for supervised learning.

What are popular job titles related to Data Annotation Engineer jobs in Atlanta, GA? For Data Annotation Engineer jobs in Atlanta, GA, the most frequently searched job titles are:
What job categories do people searching Data Annotation Engineer jobs in Atlanta, GA look for? The top searched job categories for Data Annotation Engineer jobs in Atlanta, GA are:
What cities near Atlanta, GA are hiring for Data Annotation Engineer jobs? Cities near Atlanta, GA with the most Data Annotation Engineer job openings:

Contractor

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Job description

Position: Apigee Developer
Location: Plano OR Atlanta
Top skills requirement
YOUR RESPONSIBILITIES IN THIS ROLE
• Using and implementing Apigee Edge for the full API lifecycle management
• Implementing API policies and transformation using Apigee Edge
• Design and development of RESTful API
• Generate swagger and other API documentation
Part ll Top Skills Requirement
3+ years of hands-on experience in designing and developing high volume web services using API Protocols and Data Formats (REST, JSON, SOAP & XML).
• 3+ Experience in API management tools like Apigee Edge in designing API facades, designing and implementing API Proxies, and Developer portal
• Experience with AWS hosted Microservices/Applications or AWS API Gateway would be a plus
• Expert level knowledge of REST API/Microservices and patterns
• Strong knowledge in API Modelling languages and annotation (YAML, Swagger, RAML)
• Strong communication, interpersonal skills, customer service skills, customer focus