ZipRecruiter

Log In

1

Data Annotation Engineer Jobs in Georgia (NOW HIRING)

next page

Showing results 1-20

All JobsData Annotation Engineer JobsData Annotation Engineer Jobs in Georgia

Data Annotation Engineer information

See Georgia salary details

$43.5K

$124.5K

$166.3K

How much do data annotation engineer jobs pay per year?

As of Jun 17, 2026, the average yearly pay for data annotation engineer in Georgia is $124,513.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,900.00 and $165,500.00 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.

Is data annotation real or fake?

Data annotation is a real and essential process in machine learning where human annotators label data such as images, text, or audio to train AI models. Data annotation engineers perform this work using specialized tools and quality standards to ensure accurate and reliable datasets.

What is a data annotation engineer?

A data annotation engineer is a professional responsible for labeling and annotating data, such as images, text, or videos, to train machine learning models. They often use specialized tools and follow guidelines to ensure data quality and accuracy, supporting AI development and data-driven applications.

How hard is it to get a job with data annotation tech?

Getting a job as a Data Annotation Engineer typically requires basic computer skills, attention to detail, and familiarity with annotation tools or platforms. Entry-level positions are often accessible with minimal formal education, but having knowledge of machine learning concepts or experience with data labeling can improve job prospects.

Does data annotation really pay you?

Data annotation engineers are typically paid for their work, often earning hourly wages or project-based fees depending on the employer or platform. Compensation varies based on experience, skill level, and the complexity of annotation tasks, which may involve using tools like labeling software or AI platforms.

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 Georgia? For Data Annotation Engineer jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Data Annotation Engineer jobs in Georgia look for? The top searched job categories for Data Annotation Engineer jobs in Georgia are:
What cities in Georgia are hiring for Data Annotation Engineer jobs? Cities in Georgia with the most Data Annotation Engineer job openings:
Data Annotation Engineer jobs near you
Infographic showing various Data Annotation Engineer job openings in Georgia as of June 2026, with employment types broken down into 67% Full Time, 8% Part Time, and 25% Contract. Highlights an 83% In-person, and 17% Remote job distribution, with an average salary of $124,513 per year, or $59.9 per hour.
Permit Supervisor (Drafting)-Telecommunications

Permit Supervisor (Drafting)-Telecommunications

CCI Systems, Inc.

Atlanta, GA • On-site

Full-time

Medical, Life, Retirement, PTO

Posted yesterday

CCI Systems rating

7.4

Company rating: 7.4 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

235th of 352 rated engineering

Job description

Why CCI? CCI Systems, Inc. is an Employee-Owned Telecommunications Company based in Iron Mountain, MI with 60+ years of industry knowledge and experience. Our outstanding team-based work culture and environment has allowed us to grow, develop, and retain long-term employees. We offer a comprehensive benefits package, competitive pay, flexibility, paid on the job training, overtime, professional development, and inspire you to be bold, yet accountable. We value our employees’ hard work and determination and REWARD results all while having fun!

Our mission is to make life better by connecting people through innovative communication systems.

We are seeking a Permit Supervisor (Drafting) who plays a critical role in managing the permitting workflow and ensuring compliance with all applicable Federal, State, County, and Local regulations. This role requires advanced expertise in AutoCAD principles and standards, as well as Rights-of-Way permitting. The Supervisor is expected to lead the technical and administrative processes involved in the acceptance, preparation, drafting, review, and approval of permit drawings, supporting efficient and compliant project execution.

Responsibilities

  • Oversee daily operations of the CAD team, including workload allocation, priority setting, and one-on-one meetings.
  • Provide constructive feedback, conduct performance evaluations, and create career development plans.
  • Lead hiring, onboarding, and team-building initiatives to foster a high-performing culture.
  • Develop, document, and enforce CAD standards covering layers, naming conventions, annotations, plotting protocols, and file structures.
  • Maintain the CAD Standards Manual and conduct regular audits to ensure compliance.
  • Implement drawing checklists, redlining/review cycles, and approval workflows to ensure accuracy and consistency.
  • Ensure compliance with industry standards such as NCS, ISO 128, and ASME Y14.5.
  • Identify process inefficiencies and apply lean methodologies and process mapping for continuous improvement.
  • Lead automation efforts using tool palettes, LISP routines, sheet set workflows, and custom macros.
  • Strategically plan resources and estimate drafting hours to align with project timelines.
  • Monitor KPIs such as on-time delivery, rework rates, and first-pass approval; implement corrective actions as needed.
  • Collaborate with engineers, architects, and project managers to align scopes, resolve design conflicts, and manage changes.
  • Maintain accurate drawing revisions and change logs for stakeholder visibility.
  • Curate and maintain standardized blocks, dynamic blocks, detail libraries, templates, and plot styles.
  • Ensure version control and accessibility of shared content across teams and locations.
  • Develop and deliver training programs, lunch-and-learns, SOPs, and reference materials to upskill the team.
  • Provide advanced CAD support and coordinate with IT to resolve technical issues.
  • Define structured project folders, naming conventions, archiving protocols, and backup/versioning practices.
  • Manage data integrity and access permissions within PDM/CDE environments.
  • Plan and coordinate software upgrades (e.g., AutoCAD), licensing, and feature testing.
  • Perform other related duties as assigned by management.

Qualifications

  • 6+ years of professional CAD drafting/design experience, including 2+ years in a lead or supervisory role managing CAD teams and workloads.
  • Expert-level AutoCAD proficiency: dynamic blocks, xrefs, Sheet Set Manager, fields, parametric constraints, paper/model space best practices, and CTB/STB plotting.
  • Proven CAD standards development and enforcement: templates, layers/naming per NCS or equivalent, annotation styles, title blocks, and periodic standards audits.
  • Strong QA/QC capability: drawing checklists, redline/review workflows, approval gates, and familiarity with relevant codes/standards (e.g., ISO 128, ASME Y14.5/GD&T)
  • Automation/customization skills: AutoLISP/macros, and/or .NET/C#/Python scripting for tooling, batch routines, and productivity improvements.
  • Working knowledge of adjacent platforms and interoperability: Revit, Civil 3D, Plant 3D, Navisworks, IFC/DGN/DWG exchange, and coordinate systems.
  • Document and data control expertise: versioning, naming conventions, libraries (blocks/details), and experience with PDM/EDMS tools (e.g., Autodesk Vault, ProjectWise)
  • People leadership and coaching: onboarding, mentoring, performance feedback, conflict resolution, and running stand-ups and 1:1’s.
  • Project management fundamentals: scoping CAD tasks, estimating hours, scheduling, prioritizing multi-project pipelines, and managing change control.
  • Clear communicator with strong stakeholder skills: cross-discipline coordination with engineering/field teams, and ability to author SOPs, training materials, and reports for leadership.

Shift is full-time Monday – Friday between the hours of 8:00 am – 5:00 pm PST. Must be flexible and willing to work outside normal business hours as necessary.

Benefits: healthcare, retirement, paid leave (e.g., sick leave, PTO, company holidays), life insurance, AD&D, short-term disability, FSA, education reimbursement, wellness reimbursement, and employee assistance program (EAP).