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Flexible Data Annotation Tech Jobs in Atlanta, GA

Guidehouse

Public Health Data Engineer

Atlanta, GA

$110K - $132K/yr

Develop and maintain scripts, queries, and applications using technologies such as Python, SQL, and ... Health Savings Account, Health Care & Dependent Care Flexible Spending Accounts * Transit and ...

Honeywell

Advanced Data Scientist

Atlanta, GA

Forge and AI team, as the AI center of excellence, leverages advanced technologies such as the ... Short-Term and Long-Term Disability; 401(k) match, Flexible Spending Accounts, Health Savings ...

Bertelsmann

Data Center Technician

Fayetteville, GA · On-site

With 20,000 team members at over 100 locations, we focus on the Consumer Products, Tech, Health ... Must be available to work a flexible schedule, including varying shifts, weekends, and travel as ...

Honeywell

Advanced Data Scientist

Atlanta, GA · On-site

Forge and AI team, as the AI center of excellence, leverages advanced technologies such as the ... Short-Term and Long-Term Disability; 401(k) match, Flexible Spending Accounts, Health Savings ...

Bertelsmann

Data Center Installer

GA · On-site

With 20,000 team members at over 100 locations, we focus on the Consumer Products, Tech, Health ... Must be available to work a flexible schedule, including varying shifts, weekends, and travel as ...

Honeywell

Advanced Data Scientist

Atlanta, GA

Forge and AI team, as the AI center of excellence, leverages advanced technologies such as the ... Short-Term and Long-Term Disability; 401(k) match, Flexible Spending Accounts, Health Savings ...

Tmhcc

Data Analyst

Kennesaw, GA · Hybrid

The Data Analyst supports business and technology teams by translating data needs into scalable ... Flexible work schedules and a great work/life balance. * Paid Parental Leave. * Volunteer Time Off.

CapTech Consulting

Lead Data Strategist

Atlanta, GA

Assessing and advocating data management technologies and practices, eliminating gaps between the ... CapTech is committed to providing a flexible work environment and helping our employees achieve a ...

CapTech Consulting

Lead Data Strategist

Atlanta, GA · On-site

Assessing and advocating data management technologies and practices, eliminating gaps between the ... CapTech is committed to providing a flexible work environment and helping our employees achieve a ...

Coreforce

Senior Data Architect

Atlanta, GA · Hybrid

$64.75 - $86.50/hr

... technology that strengthens communities. Why You ' ll Love Working Here: * Flexible hybrid schedule * Free chef-inspired lunch Mon-Thu * Competitive benefits: medical, dental, vision, 401(k). We ...

Coreforcetech

Senior Data Architect

Atlanta, GA · On-site

$150 - $200/hr

Senior Data Architect - Build Your Career with Purpose Join Coreforce and use your data architect ... technology that strengthens communities. Why You'll Love Working Here: * Flexible hybrid schedule

NTT DATA Services

Technology Consulting Manager

Atlanta, GA · On-site +1

$106K - $142K/yr

We are currently seeking a Technology Consulting Manager to join our team in Atlanta, Georgia (US ... At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our ...

Publicis Groupe Holdings B.V

Data Engineer

Atlanta, GA · On-site

$73K - $112K/yr

Assemble, transform, and manage large, complex datasets using cloud-native technologies (AWS ... and flexible time off. If you require accommodation or assistance with the application or ...

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Flexible Data Annotation Tech information

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How much do flexible data annotation tech jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for flexible data annotation tech in Atlanta, GA is $21.97, according to ZipRecruiter salary data. Most workers in this role earn between $16.20 and $26.11 per hour, depending on experience, location, and employer.

What is a flexible data annotation tech?

Flexible Data Annotation Tech jobs involve labeling, categorizing, or tagging data—such as images, text, audio, or video—to help train machine learning models. These roles are often remote or offer flexible schedules, making them appealing for those seeking adaptable work hours. Tasks can include identifying objects in photos, transcribing audio, or sorting information based on specific guidelines. The work is essential for improving the accuracy of artificial intelligence systems by providing them with high-quality annotated data. No advanced technical skills are usually required, but attention to detail and reliability are important.

What are the key skills and qualifications needed to thrive as a flexible data annotation tech, and why are they important?

To thrive as a Flexible Data Annotation Tech, you need attention to detail, accuracy, and a basic understanding of data labeling or annotation processes, often requiring at least a high school diploma. Familiarity with annotation platforms, data labeling tools, and productivity software is typically necessary, and experience with machine learning datasets can be advantageous. Strong time management, communication, and adaptability help you excel in collaborative and ever-changing project environments. These skills ensure high-quality, consistent data output that directly impacts the performance of AI and machine learning systems.

What are some common challenges faced by flexible data annotation techs, and how can they be addressed?

Flexible Data Annotation Techs often encounter challenges such as maintaining consistency across large volumes of data, adapting to evolving project guidelines, and managing tight deadlines. To address these challenges, it's important to establish clear communication with project leads, regularly review annotation protocols, and utilize available training resources. Building strong attention to detail and staying organized can also help ensure high-quality outputs and job satisfaction.

What is the difference between Flexible Data Annotation Tech vs Data Labeler?

AspectFlexible Data Annotation TechData Labeler
CredentialsBasic computer skills, training in annotation toolsBasic education, sometimes specific software training
Work EnvironmentRemote or on-site, tech-focusedPrimarily remote or on-site, data processing settings
Industry UsageAI, machine learning, data scienceAI, machine learning, data preparation
Job FocusApplying labels to datasets using annotation toolsLabeling data according to guidelines

Flexible Data Annotation Tech roles involve using specialized tools to annotate datasets for AI training, often requiring some technical training. Data Labelers focus on applying labels to data, typically with less technical complexity. Both roles are essential in AI development but differ mainly in technical requirements and scope.

Can I do data annotation with no experience?

Data annotation roles often do not require prior experience, as training is typically provided to teach specific labeling tools and guidelines. Basic computer skills and attention to detail are usually sufficient to start, making it accessible for beginners. Over time, developing familiarity with annotation software and understanding data types can improve efficiency and accuracy.

Do data annotation jobs offer flexible hours?

Data annotation jobs often offer flexible hours, allowing workers to choose when they complete tasks, especially in freelance or remote roles. However, some positions may have specific deadlines or part-time schedules depending on the employer or platform used. Flexibility can vary based on the company's policies and project requirements.

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

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

What are popular job titles related to Flexible Data Annotation Tech jobs in Atlanta, GA?

For Flexible Data Annotation Tech jobs in Atlanta, GA, the most frequently searched job titles are:

What job categories do people searching Flexible Data Annotation Tech jobs in Atlanta, GA look for?

The top searched job categories for Flexible Data Annotation Tech jobs in Atlanta, GA are:

Flexible Data Annotation Tech jobs near you
Infographic showing various Flexible Data Annotation Tech job openings in Atlanta, GA as of August 2026, with employment types broken down into 1% As Needed, 69% Full Time, 26% Part Time, and 4% Contract. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution, with an average salary of $45,690 per year, or $22 per hour.

Public Health Data Engineer

Guidehouse

Atlanta, GA

$110K - $132K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 28 days ago

Key responsibilities

  • Support the development, testing, and maintenance of data pipelines and ETL/ELT processes.

  • Support the implementation and enhancement of data models, databases, and cloud-based data solutions.

  • Monitor data pipelines and systems, identify issues, and support troubleshooting and resolution activities.

Guidehouse rating

8.0

Company rating: 8.0 out of 10

Based on 28 frontline employees who took The Breakroom Quiz

35th of 72 rated business consultants

Job description

Job Family:

Data Science & Analysis


Travel Required:

Up to 10%


Clearance Required:

Ability to Obtain Public Trust

What You Will Do:

Guidehouse seeks a Data Engineer to support the development, maintenance, and enhancement of data pipelines, cloud-based data platforms, and analytics solutions. The ideal candidate is an early-career professional with foundational experience in data engineering, software development, or cloud technologies who is eager to learn and grow in a collaborative environment.

  • Assist in developing, testing, and maintaining data pipelines and ETL/ELT processes that ingest, transform, and load data from various sources.

  • Support the implementation and enhancement of data models, databases, and cloud-based data solutions.

  • Participate in data integration, migration, and modernization initiatives under the guidance of senior engineers.

  • Develop and maintain scripts, queries, and applications using technologies such as Python, SQL, and PySpark.

  • Support cloud-based data environments and services in AWS and Azure.

  • Assist with the implementation of CI/CD processes and software development best practices using Git and related tools.

  • Monitor data pipelines and systems, identify issues, and support troubleshooting and resolution activities.

  • Perform data validation and quality assurance activities to help ensure data accuracy, completeness, and reliability.

  • Collaborate with data engineers, developers, analysts, and other stakeholders to deliver high-quality solutions.

  • Document technical processes, data flows, and system configurations.

  • Continuously develop technical skills and stay current with emerging data engineering technologies and best practices.


What You Will Need:

  • U.S. Citizenship or permanent residency is required and Must be able to OBTAIN and MAINTAIN a Federal or DHS "PUBLIC TRUST.

  • Bachelor's degree in Computer Science, Data Science, Information Systems, Engineering, Mathematics, or a related technical field.

  • TWO (2) or more years of experience in data engineering, software engineering, data analytics, computer science, or a related technical discipline.

  • Experience with a programming language such as Python, Java, or SQL.

  • Experience with cloud platforms such as AWS or Azure through coursework, certifications, internships, or professional experience.

  • Experience with data integration, ETL, data warehousing, or analytics concepts.

What Would Be Nice To Have:

  • Internship, academic, research, or project experience involving data engineering, cloud computing, or software development.

  • Basic understanding of relational databases and data querying concepts.

  • Familiarity with version control systems such as Git.

  • Basic understanding of software development lifecycle and Agile methodologies.

  • Strong analytical, problem-solving, and troubleshooting skills.

  • Ability to learn new technologies and work collaboratively in a team environment.

  • Strong verbal and written communication skills.

  • Experience working with public health data and agencies

  • Exposure to Databricks, Spark, or large-scale data processing technologies.

  • Familiarity with AWS services such as S3, Lambda, or Redshift, or Azure services such as Azure Data Factory, Azure Functions, or Cosmos DB.

  • Experience with data visualization or reporting tools such as Power BI, Tableau, or Kibana.

  • Exposure to CI/CD tools and DevOps practices.

  • AWS, Azure, Databricks, or related cloud/data certifications.

  • Experience supporting healthcare, public sector, or federal clients.

  • Interest in data architecture, machine learning, artificial intelligence, or advanced analytics.

  • Previous consulting, client-facing, internship, or cooperative education experience.


What We Offer:

Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.

Benefits include:

  • Medical, Rx, Dental & Vision Insurance

  • Personal and Family Sick Time & Company Paid Holidays

  • Parental Leave

  • 401(k) Retirement Plan

  • Group Term Life and Travel Assistance

  • Voluntary Life and AD&D Insurance

  • Health Savings Account, Health Care & Dependent Care Flexible Spending Accounts

  • Transit and Parking Commuter Benefits

  • Short-Term & Long-Term Disability

  • Tuition Reimbursement, Personal Development, Certifications & Learning Opportunities

  • Employee Referral Program

  • Corporate Sponsored Events & Community Outreach

  • Care.com annual membership

  • Employee Assistance Program

  • Supplemental Benefits via Corestream (Critical Care, Hospital Indemnity, Accident Insurance, Legal Assistance and ID theft protection, etc.)

  • Position may be eligible for a discretionary variable incentive bonus

About Guidehouse

Guidehouse is an Equal Opportunity Employer-Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation.

Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco.

If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at RecruitingAccommodation@guidehouse.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation.

All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or guidehouse@myworkday.com. Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process.

If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse's Ethics Hotline. If you want to check the validity of correspondence you have received, please contact recruiting@guidehouse.com. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant's dealings with unauthorized third parties.

Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.

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