1

Temporary Ai Data Annotation Jobs in Georgia (NOW HIRING)

Senior AI & Data Consultant

Atlanta, GA · On-site

$101K - $138K/yr

Regular or Temporary: Regular Language Fluency: English (Required) Work Shift: 1st shift (United States of America) Please review the following The Senior AI and Data Consultant is a senior, hands-on ...

Senior AI & Data Consultant

Atlanta, GA · On-site

$101K - $138K/yr

Regular or Temporary: Regular Language Fluency: English (Required) Work Shift: 1st shift (United States of America) Please review the following The Senior AI and Data Consultant is a senior, hands-on ...

Previous experience in AI data training, annotation, editorial QA, localization QA, or professional copyediting . * Experience evaluating AI-generated content or training data. * Strong hands-on ...

Document experimental findings and processes with a focus on clarity for AI training data ... Experience with AI, machine learning, or annotation projects related to biology or microbiology.

Document experimental findings and processes with a focus on clarity for AI training data ... Experience with AI, machine learning, or annotation projects related to biology or microbiology.

Document experimental findings and processes with a focus on clarity for AI training data ... Experience with AI, machine learning, or annotation projects related to biology or microbiology.

Document experimental findings and processes with a focus on clarity for AI training data ... Experience with AI, machine learning, or annotation projects related to biology or microbiology.

Document experimental findings and processes with a focus on clarity for AI training data ... Experience with AI, machine learning, or annotation projects related to biology or microbiology.

Document experimental findings and processes with a focus on clarity for AI training data ... Experience with AI, machine learning, or annotation projects related to biology or microbiology.

Showing results 21-40

Temporary Ai Data Annotation information

What is a temporary AI data annotation job?

Temporary AI Data Annotation jobs involve labeling, categorizing, or tagging data such as images, text, audio, or video for the purpose of training artificial intelligence (AI) and machine learning models. These roles are often short-term or contract positions, as they are needed for specific projects or during certain stages of data processing. Annotators play a critical role in ensuring the quality and accuracy of datasets, which directly impacts the performance of AI systems. No advanced technical skills are usually required, but attention to detail and consistency are important. These jobs may be offered remotely or on-site, depending on the employer.

What are some common challenges faced in a temporary AI data annotation role, and how can they be managed?

One of the main challenges in a Temporary AI Data Annotation position is maintaining consistent accuracy and attention to detail, especially when working with large volumes of data. Annotation guidelines can be complex and may change depending on project requirements, so adaptability and clear communication with the team are key. Managing repetitive tasks while ensuring high-quality work can be demanding, but using productivity tools and taking regular breaks can help maintain focus. Collaborating with quality assurance leads and participating in feedback sessions are also important for continuous improvement.

What are the key skills and qualifications needed to thrive as a temporary AI data annotation specialist, and why are they important?

To thrive as a Temporary AI Data Annotation Specialist, you need keen attention to detail, strong analytical skills, and the ability to follow complex guidelines, often supported by a high school diploma or equivalent. Familiarity with data labeling platforms, annotation tools like Labelbox or Prodigy, and basic computer literacy are typically required. Reliability, consistency, and the ability to work independently stand out as valuable soft skills in this role. These competencies are essential for producing high-quality, accurate data that directly impacts the effectiveness of machine learning models.

What is the difference between Temporary Ai Data Annotation vs Data Labeler?

AspectTemporary Ai Data AnnotationData Labeler
CredentialsBasic computer skills, attention to detailBasic skills, sometimes specific software knowledge
Work EnvironmentRemote or on-site, project-basedRemote or on-site, often similar settings
Industry UsageAI, machine learning, tech companiesAI, autonomous vehicles, tech sectors
Job FocusAnnotating data for AI trainingLabeling data for machine learning models

Temporary Ai Data Annotation involves short-term projects focused on preparing data for AI systems, while Data Labeler is a broader role that includes labeling various data types for machine learning. Both roles require similar skills and are used in tech industries, but Temporary Ai Data Annotation emphasizes project-based work specifically for AI training datasets.

What are the most commonly searched types of Ai Data Annotation jobs in Georgia?

The most popular types of Ai Data Annotation jobs in Georgia are:

What are popular job titles related to Temporary Ai Data Annotation jobs in Georgia?

For Temporary Ai Data Annotation jobs in Georgia, the most frequently searched job titles are:

What job categories do people searching Temporary Ai Data Annotation jobs in Georgia look for?

The top searched job categories for Temporary Ai Data Annotation jobs in Georgia are:

What cities in Georgia are hiring for Temporary Ai Data Annotation jobs?

Cities in Georgia with the most Temporary Ai Data Annotation job openings:

Infographic showing various Temporary Ai Data Annotation job openings in Georgia as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Nurse Annotator (Prior Auth) Remote in US

UnitedHealth Group

Atlanta, GA • Remote

Full-time

Retirement

Posted 23 days ago


Key responsibilities

  • Review medical records and interpret clinical documentation with accuracy and clinical judgment

  • Apply guideline-based criteria to annotate, categorize, and label case data used for AI model training

  • Support testing, validation, and quality review activities for AI supported utilization management tools and workflows


UnitedHealth Group rating

7.6

Company rating: 7.6 out of 10

Based on 146 frontline employees who took The Breakroom Quiz

191st of 898 rated healthcare providers


Job description

At UnitedHealthcare, we're simplifying the health care experience, creating healthier communities and removing barriers to quality care. The work you do here impacts the lives of millions of people for the better. Come build the health care system of tomorrow, making it more responsive, affordable and optimized. Ready to make a difference? Join us to start Caring. Connecting. Growing together

The Registered Nurse Clinical Annotator plays a critical role in supporting the development of artificial intelligence models designed to streamline and automate prior authorization processes in healthcare. This position leverages clinical expertise to interpret, annotate, and validate medical documentation, ensuring that AI systems are trained on accurate, contextually relevant, and policy-compliant data.

You'll enjoy the flexibility to work remotely * from anywhere within the U.S. as you take on some tough challenges.

Primary Responsibilities:

  • Review medical records and interpret clinical documentation with accuracy and clinical judgment
  • Apply guideline-based criteria to annotate, categorize, and label case data used for AI model training
  • Ensure annotations are clinically sound, consistent, and aligned with established utilization management (UM) guidelines
  • Contribute to the development of high quality training datasets that support safe and effective AI model performance
  • Identify gaps, ambiguities, or inconsistencies in documentation and escalate issues as needed
  • Participate in refinement and continuous improvement of annotation guidelines, clinical rules, and workflows
  • Collaborate with cross functional teams including data science, clinical operations, and product teams to ensure clinical accuracy and operational relevance of labeled data
  • Support testing, validation, and quality review activities for AI supported UM tools and workflows
  • Maintain detailed documentation of annotation decisions, rationales, and guideline interpretations
  • Uphold clinical, ethical, and regulatory standards in all aspects of data handling, patient information, and annotation workflows

You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.

Required Qualifications:

  • Active, unrestricted RN license
  • 3 years of recent clinical experience in acute care, utilization management, or a related clinical specialty
  • Experience applying guideline based criteria (e.g., InterQual, MCG) in clinical review or UM workflows
  • Solid understanding of clinical documentation, medical terminology, and evidence-based practice
  • Familiarity with HIPAA requirements, data privacy standards, and safe handling of patient information
  • Proficiency with electronic medical records (EMR) and comfort navigating multiple clinical systems
  • Proven ability to interpret medical records and determine clinical appropriateness using structured criteria
  • Demonstrated experience performing payer-based clinical prior authorization reviews and medical necessity determinations for outpatient and inpatient procedures, advanced imaging, DME, specialty medications, infusion therapies, and other pre-service requests in accordance with health plan policy and evidence-based clinical criteria. Experience limited to provider-side authorizations, concurrent inpatient review, post-acute review, or discharge planning alone is not sufficient
  • Proven ability to work independently while maintaining productivity, quality, and adherence to annotation guidelines

Preferred Qualifications:

  • BSN
  • Experience collaborating with cross functional teams (clinical, data science, operations)
  • Experience with data labeling, clinical data annotation, or AI/ML workflows
  • Proven high level of accuracy, attention to detail, and commitment to consistent, high quality annotations
  • Proven solid analytical thinking, clinical reasoning, and ability to identify gaps or inconsistencies in documentation
  • Proven effective written communication skills, with the ability to clearly document annotation decisions and rationales
  • Proven curiosity and willingness to learn emerging technologies, AI supported workflows, and evolving guidelines

Values Based Competencies Employee

  • Integrity Value: Act Ethically
    • Comply with Applicable Laws, Regulations and Policies
    • Demonstrate Integrity
  • Compassion Value: Focus on Customers
    • Identify and Exceed Customer Expectations
    • Improve the Customer Experience
  • Relationships Value: Act as a Team Player
    • Collaborate with Others
    • Demonstrate Diversity Awareness
    • Learn and Develop
  • Relationships Value: Communicate Effectively
    • Influence Others
    • Listen Actively
    • Speak and Write Clearly
  • Innovation Value: Support Change and Innovation
    • Contribute Innovative Ideas
    • Work Effectively in a Changing Environment
  • Performance Value: Make Fact-Based Decisions
    • Apply Business Knowledge
    • Use Sound Judgement
  • Performance Value: Deliver Quality Results
    • Drive for Results
    • Manage Time Effectively
    • Produce High-Quality Work

*All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy

Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The hourly pay for this role will range from $29.00 - $52.00 per hour based on full-time employment. We comply with all minimum wage laws as applicable.

Application Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants.

At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.    

UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations.      

UnitedHealth Group is a drug - free workplace. Candidates are required to pass a drug test before beginning employment.   


What UnitedHealth Group employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom