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Flexible Data Annotation Tech Jobs in Atlanta, GA

Data Engineer

Atlanta, GA · On-site

$53K - $88K/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 ...

Medical Coder - Remote

Atlanta, GA · Remote

$50 - $80/hr

Familiarity with digital annotation tools or healthcare data projects is a plus. * Commitment to accuracy, quality, and continuous learning in healthcare coding and technology

Flexible paid time off * Hybrid work schedule * 401(K) matching of 100% up to the first 6% with a ... Translate business needs into clear data, process, reporting, and technology requirements.

Flexible paid time off * Hybrid work schedule * 401(K) matching of 100% up to the first 6% with a ... Translate business needs into clear data, process, reporting, and technology requirements.

Additional Technologies: dbt, Spark, FiveTran, Databricks, PowerBI, Tableau, git Additional ... CapTech is committed to providing a flexible work environment and helping our employees achieve a ...

Data Engineer

Atlanta, GA · On-site

$89K - $148K/yr

Stay current with emerging technologies and best practices in data engineering, cloud, and DevOps. ... Health Savings Account, Health Care & Dependent Care Flexible Spending Accounts * Transit and ...

Stay current with emerging technologies and best practices in data engineering, cloud, and DevOps. ... Health Savings Account, Health Care & Dependent Care Flexible Spending Accounts * Transit and ...

Additional Technologies: dbt, Spark, FiveTran, Databricks, PowerBI, Tableau, git Additional ... CapTech is committed to providing a flexible work environment and helping our employees achieve a ...

Data Solutions Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Proficiency in the following tools, technologies, and data concepts: • Azure Data Factory, Azure ... Proactive and showing initiative, flexible, and willing to take on new and challenging tasks.

Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

... of technologies while solving some of our clients' toughest challenges. CGS brings motivated ... 401k -Flexible Spending Account (Health, Dependent Care, and Commuter) -Paid Time Off and ...

Korean Language Expert

Atlanta, GA · Remote

$65 - $100/hr

Collaborate with project participants to improve data collection, evaluation, and annotation ... Familiarity with language technology, digital content platforms, or AI-related projects is a plus.

Showing results 21-40

Flexible Data Annotation Tech information

See Atlanta, GA salary details

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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 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:

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.

Senior Data Steward, Investments Data Office

1110 Invesco Group Services, INC.

Atlanta, GA • On-site

$125 - $150/hr

Other

Medical, Retirement, PTO

Posted 18 days ago


Key responsibilities

  • Support day-to-day stewardship activities across assigned master data domains to ensure data is accurate, trusted, available, and fit for purpose.

  • Partner with Data Product Owners, Data Governance, business stakeholders, data architects, and technology teams to define data requirements, quality rules, SLAs, and remediation workflows.

  • Define, monitor, and report on data quality metrics, develop dashboards, and identify and resolve complex data issues.


Job description

About Invesco As one of the world's leading independent global investment firms, Invesco is dedicated to rethinking possibilities for our clients. By delivering the combined power of our distinctive investment management capabilities, we provide a wide range of investment strategies and vehicles to our clients around the world. If you're looking for challenging work, intelligent colleagues, and exposure across a global footprint, come explore your potential at Invesco.

What’s in it for you? Our people are at the very core of our success. Invesco employees get more out of life through our comprehensive compensation and benefit offerings including:

  • Flexible paid time off
  • Hybrid work schedule
  • 401(K) matching of 100% up to the first 6% with a discretionary supplemental contribution
  • Health & wellbeing benefits
  • Parental Leave benefits
  • Employee stock purchase plan
Job Description

The Sr Data Stewardship is a hands-on individual contributor responsible for supporting data quality, stewardship execution, and operational readiness across assigned master data domains. This role combines data management expertise, practical analytical skills, master data management knowledge, and strong stakeholder partnership to help ensure critical business information is trusted, controlled, and usable across the enterprise.

The Sr. Data Steward will partner closely with Data Product Owners, Data Governance, technology teams, data architects, Data Stewards, and business stakeholders to define data requirements, monitor quality, resolve issues, strengthen controls, and improve stewardship processes. The role requires the ability to work through ambiguity, translate business needs into actionable data and process requirements, and deliver measurable improvements in data quality and operational performance.

You will be responsible for:
  • Support day-to-day stewardship activities across assigned master data domains, ensuring data is accurate, trusted, available, and fit for purpose.
  • Partner with Data Product Owners, Data Governance, business stakeholders, data architects, and technology teams to define priorities, requirements, data quality rules, SLAs, and remediation workflows.
  • Define, standardize, measure, and monitor data quality metrics; develop reporting and dashboards that provide visibility into data quality health and issue resolution.
  • Identify and maintain Critical Data Elements, data definitions, metadata, data dictionaries, and field-level guidance for assigned domains.
  • Perform data profiling, data cleansing, data mapping, trend analysis, root cause analysis, issue triage, and remediation activities.
  • Research and resolve complex data issues by applying knowledge of data, systems, business processes, and controls.
  • Support master data management implementation and improvement activities, including workflow design, data quality rule definition, data model input, integration support, and system issue resolution.
  • Use SQL, Excel, and other analytical tools to build queries, analyze data, identify trends, and provide actionable insights to stakeholders.
  • Recommend process and technology improvements that increase efficiency, accuracy, automation, and control.
The experience you bring:
  • 5–7 years of relevant experience in data management, data stewardship, master data management, data governance, business analysis, data quality, or related data disciplines.
  • Strong understanding of master data management, data stewardship, data quality management, data governance, metadata, and data lifecycle practices.
  • Experience with data management systems, MDM platforms, data quality tools, workflow tools, metadata repositories, or enterprise data platforms.
  • Strong preference for experience with Markit EDM / Opus EDM platforms.
  • Strong SQL and Excel skills; experience with Python, Alteryx, VBA, Power BI, or similar tools is a plus.
  • Ability to understand data models, data integrations, workflows, and data quality rules, and to partner effectively with technology teams.
  • Strong analytical, problem-solving, written, and verbal communication skills, with the ability to explain technical concepts to business stakeholders.
  • Ability to work independently, manage multiple priorities, make sound decisions within defined policies, and operate effectively through ambiguity.
  • Demonstrated ability to build relationships and collaborate across business, technology, governance, and operations teams.
  • Bachelor’s degree in Business Administration, Computer Science, Data Science, Information Science, Economics, Accounting, Engineering, Information Technology, or a related field.
Nice to haves:
  • Financial services, asset management, or investment data experience.
  • Experience with MDM platforms such as Informatica MDM, Markit EDM, or similar tools.
  • Experience building or maturing a data stewardship, data governance, or MDM practice.

Full Time / Part Time Full time Worker Type Employee Job Exempt (Yes / No) Yes

Workplace Model Pursuant to Invesco's Workplace Policy, employees are expected to comply with the firm's most current workplace model, which as of October 1, 2025, includes spending at least four full days each week working in an Invesco office. This reflects our belief that spending time together in the office helps us build stronger relationships, collaborate more easily, and support each other's growth and development.

The above information on this description has been designed to indicate the general nature and level of work performed by employees within this role. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to this job. The job holder may be required to perform other duties as deemed appropriate by their manager from time to time.

Invesco's culture of inclusivity and its commitment to diversity in the workplace are demonstrated through our people practices. We are proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, creed, color, religion, sex, gender, gender identity, sexual orientation, marital status, national origin, citizenship status, disability, age, or veteran status. Our equal opportunity employment efforts comply with all applicable U.S. state and federal laws governing non-discrimination in employment.

As one of the world's leading independent global investment firms, Invesco is dedicated to rethinking possibilities for our clients. By delivering the combined power of our distinctive investment management capabilities, we provide a wide range of investment strategies and vehicles to our clients around the world. If you're looking for challenging work, intelligent colleagues, and exposure across a global footprint, come explore your potential at Invesco.

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