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Data Annotation Ai Trainer Jobs in Decatur, GA (NOW HIRING)

Support data annotation and quality validation activities * Maintain accurate operational records ... Structured training and career development opportunities * Collaborative environment with ...

Lead Data Scientist

Atlanta, GA · Remote

$166K - $214K/yr

Lead the design, training, and deployment of NLP and transformer-based models for financial ... Data annotation and quality review * Exploratory data analysis and model fail state analysis

Lead the design, training, and deployment of NLP and transformer-based models for financial ... Data annotation and quality review * Exploratory data analysis and model fail state analysis

Lead the design, training, and deployment of NLP and transformer-based models for financial ... Data annotation and quality review * Exploratory data analysis and model fail state analysis

DataAnnotation is committed to creating high-quality AI. Enjoy the flexibility of remote work and ... Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises ...

DataAnnotation is committed to creating high-quality AI. Enjoy the flexibility of remote work and ... Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises ...

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Data Annotation Ai Trainer information

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How much do data annotation ai trainer jobs pay per hour?

As of Jul 27, 2026, the average hourly pay for data annotation ai trainer in Decatur, GA is $24.15, according to ZipRecruiter salary data. Most workers in this role earn between $18.32 and $25.82 per hour, depending on experience, location, and employer.

Is data annotation AI trainer legit?

Data annotation AI trainer roles involve labeling data to help train machine learning models and are generally legitimate jobs in the AI industry. These positions often require attention to detail and familiarity with annotation tools, and they can be found with reputable companies or platforms. However, job seekers should verify the employer's credibility and be cautious of scams or unrealistic promises.

Does data annotation really pay?

Data annotation jobs, including roles like AI trainer, typically pay hourly or per task rates that can range from minimum wage to higher amounts depending on experience and complexity. Many companies offer remote work with flexible schedules, and pay can vary based on skill level, project requirements, and the platform used for job postings.

How much do AI data trainers make?

AI data trainers typically earn between $15 and $30 per hour, depending on experience, location, and the complexity of tasks. Many roles are freelance or part-time, requiring skills in data labeling, annotation tools, and understanding of AI models.

How much do data annotation AI trainers make?

Data annotation AI trainers typically earn between $15 and $30 per hour, depending on experience, location, and the complexity of the annotation tasks. Entry-level positions may pay closer to the lower end, while experienced trainers with specialized skills can earn higher wages, often working remotely with flexible schedules.

What is a Data Annotation AI Trainer job?

A Data Annotation AI Trainer is responsible for labeling and annotating data to help train machine learning models. This involves identifying objects, tagging text, or categorizing images to improve AI accuracy. The role requires attention to detail and an understanding of guidelines to ensure high-quality labeled data. AI trainers work closely with data scientists and engineers to refine model performance through precise annotations.

What are the key skills and qualifications needed to thrive in the Data Annotation Ai Trainer position, and why are they important?

To thrive as a Data Annotation Ai Trainer, you need a keen attention to detail, basic data analysis skills, and familiarity with machine learning concepts, often supported by a relevant degree or coursework. Experience with annotation tools like Labelbox, Supervisely, or similar platforms, along with knowledge of data privacy standards, is commonly required. Strong communication, problem-solving ability, and patience help you work effectively in teams and ensure data quality. These skills are essential because they directly influence the accuracy and effectiveness of AI models trained using annotated data.

What does a typical day look like for a Data Annotation Ai Trainer?

As a Data Annotation Ai Trainer, your typical day involves reviewing and labeling large datasets, providing feedback to annotation teams, and ensuring that data quality meets project standards. You'll often collaborate with data scientists, machine learning engineers, and project managers to clarify guidelines and resolve ambiguities. Periodically, you may help develop or refine documentation and training materials to improve annotation consistency. The role requires both independent work and open communication to maintain high accuracy and support AI development initiatives.

What job categories do people searching Data Annotation Ai Trainer jobs in Decatur, GA look for? The top searched job categories for Data Annotation Ai Trainer jobs in Decatur, GA are:
What cities near Decatur, GA are hiring for Data Annotation Ai Trainer jobs? Cities near Decatur, GA with the most Data Annotation Ai Trainer job openings:
Infographic showing various Data Annotation Ai Trainer job openings in Decatur, GA as of July 2026, with employment types broken down into 74% Full Time, 22% Part Time, and 4% Contract. Highlights an 71% Physical, 3% Hybrid, and 26% Remote job distribution, with an average salary of $50,236 per year, or $24.2 per hour.
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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