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Data Annotation For Ai Jobs in Georgia (NOW HIRING)

TSMG

Robot Teleoperator (AI & Robotics)

Atlanta, GA · On-site

This position is ideal for candidates with strong attention to detail, excellent hand-eye ... Support data annotation and quality validation activities * Maintain accurate operational records ...

Smarsh

Lead Data Scientist

Atlanta, GA

... looking for optimization and improvement opportunities * Data annotation and quality review ... We use the latest in AI/ML technology to help our customers break new ground at scale. We are a ...

Deloitte

Agentic AI, AI & Data Science Engineer

Atlanta, GA

$110K - $132K/yr

Recruiting for this role ends on 7/31/2026. Work you'll do As an AI and Data Science Engineer III on the AI & Data team, you will be responsible for driving technology-focused client delivery across ...

Deloitte

Agentic AI, AI & Data Science Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Recruiting for this role ends on 7/31/2026. Work you'll do As an AI and Data Science Engineer III on the AI & Data team, you will be responsible for driving technology-focused client delivery across ...

Honeywell

Sr Data Engineer

Atlanta, GA

$110K - $132K/yr

Build and maintain data pipelines for AI product lifecycle, including training data preparation, feature engineering, and inference data flows * Develop and optimize RAG (Retrieval Augmented ...

Honeywell

Sr Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Build and maintain data pipelines for AI product lifecycle, including training data preparation, feature engineering, and inference data flows * Develop and optimize RAG (Retrieval Augmented ...

Honeywell

Sr Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Build and maintain data pipelines for AI product lifecycle, including training data preparation, feature engineering, and inference data flows * Develop and optimize RAG (Retrieval Augmented ...

Honeywell

Lead Data Engineer

Atlanta, GA · On-site

Define technical direction for AI-ready data products including vector stores, embedding pipelines, and RAG-ready structured/unstructured data. * Adopt emerging LLM orchestration frameworks ...

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Data Annotation For Ai information

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

AspectData Annotation For AiData Labeler
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote or on-site, tech companies, AI projectsRemote or on-site, data processing companies
Industry UsageArtificial Intelligence, Machine LearningData management, content moderation
Job FocusPreparing data for AI algorithms through annotationLabeling data for various purposes, including AI

Data Annotation For Ai involves preparing datasets specifically for training AI models, focusing on detailed annotations. Data Labeler is a broader role that includes labeling data for multiple purposes, including AI but also other data management tasks. While both roles require similar skills, Data Annotation For Ai is more specialized towards AI development projects.

What is data annotation for AI?

Data annotation for AI is the process of labeling or tagging data—such as text, images, audio, or video—to make it understandable for machine learning models. Annotators add relevant information to raw data, helping AI systems learn to recognize patterns and make accurate predictions. This step is crucial for training, validating, and testing AI algorithms, especially in tasks like computer vision and natural language processing. High-quality data annotation directly impacts the effectiveness and reliability of AI applications.

What are the key skills and qualifications needed to thrive as a Data Annotation Specialist for AI, and why are they important?

To thrive as a Data Annotation Specialist for AI, you need a keen eye for detail, a solid understanding of data labeling concepts, and often a background in the relevant domain (such as language, images, or audio). Proficiency with annotation platforms, data management systems, and basic familiarity with tools like Excel or Python can be highly valuable. Strong communication, consistency, and time management skills help ensure accuracy and meet project deadlines. These abilities are crucial because high-quality, well-annotated data is foundational for training reliable and effective AI models.

What are some common challenges faced by data annotators working on AI projects, and how can they be addressed?

Data annotators for AI often encounter challenges such as maintaining consistency across large datasets, understanding ambiguous labeling instructions, and managing repetitive tasks. To address these issues, it's important to actively seek clarification on guidelines, participate in team discussions to align on labeling standards, and use annotation tools that flag inconsistencies. Regular feedback sessions with project leads also help improve accuracy and efficiency, fostering a collaborative and supportive work environment.
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Infographic showing various Data Annotation For Ai job openings in Georgia as of July 2026, with employment types broken down into 74% Full Time, 22% Part Time, 1% Temporary, and 3% Contract. Highlights an 64% Physical, 3% Hybrid, and 33% Remote job distribution.
Manager of Clinical Annotation - Remote

Manager of Clinical Annotation - Remote

UnitedHealth Group

Atlanta, GA • On-site, Remote

$91K - $163K/yr

Full-time

Retirement

Posted 19 days ago

UnitedHealth Group rating

7.6

Company rating: 7.6 out of 10

Based on 146 frontline employees who took The Breakroom Quiz

188th of 890 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 Manager of Clinical Annotation leads a team of Registered Nurse Clinical Annotators responsible for labeling and validating medical data used in training artificial intelligence models for prior authorization automation. This role combines clinical leadership, operational oversight, and cross-functional collaboration to ensure high-quality data annotation aligned with clinical standards, payer policies, and AI development goals.
General Job Profile
  • Reviews the work of others
  • Develops innovative approaches
  • Sought out as expert
  • Serves as a leader/ mentor

You'll enjoy the flexibility to work remotely * from anywhere within the U.S. as you take on some tough challenges.
Primary Responsibilities:
  • Team Leadership & Management
    • Supervise and mentor a team of RN Clinical Annotators
    • Manage staffing, scheduling, performance reviews, and professional development
    • Foster a culture of clinical excellence, data integrity, and innovation
  • Operational Oversight
    • Oversee daily annotation workflows and ensure timely delivery of annotated datasets
    • Monitor quality metrics and implement continuous improvement strategies
    • Ensure compliance with HIPAA and internal data governance policies
  • Clinical Quality Assurance
    • Review annotated data for clinical accuracy and consistency
    • Develop and refine annotation guidelines and training materials
    • Serve as a clinical escalation point for complex or ambiguous cases
  • Cross-functional Collaboration
    • Partner with data science, engineering, and product teams to align annotation efforts with model development needs
    • Translate clinical workflows into structured annotation schemas
    • Participate in model evaluation and provide clinical feedback on AI outputs
  • Strategic Planning
    • Contribute to roadmap planning for annotation projects and AI initiatives
    • Identify opportunities to expand annotation capabilities or improve efficiency
    • Stay current with payer policies, clinical guidelines, and emerging AI trends

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 RN license with 5+ years of clinical experience
  • 2+ years in a leadership or supervisory role
  • Experience in utilization management, case review, or payer operations
  • Experience with clinical data annotation, health informatics, or AI-related projects
  • Solid understanding of prior authorization workflows, payer criteria, and medical necessity documentation
  • Knowledge of InterQual or other clinical decision support tools

Preferred Qualifications:
  • BSN/MSN
  • Excellent communication, organizational, and problem-solving skills

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 salary for this role will range from $91,700 to $163,700 annually 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.

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