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

Define and evolve Carrier's AI & Data architecture strategy and roadmap, aligned with business ... Establish MLOps and LLMOps frameworks for model training, deployment, monitoring, evaluation, and ...

Remote Job Overview We are seeking experienced Data Privacy Analysts to support a data privacy and AI training project focused on protecting sensitive information. In this role, you will review ...

What if your knowledge English language?could help improve the AI.? ?? WHAT YOU'LL DO ? * Evaluate the aesthetic quality, readability, and overall polish of digital map designs. * Assess user-focused ...

What if your knowledge English language?could help improve the AI.? ?? WHAT YOU'LL DO ? * Evaluate the aesthetic quality, readability, and overall polish of digital map designs. * Assess user-focused ...

AI/ML Engineer - Remote

Atlanta, GA · Remote

$200 - $350/hr

Build robust ETL and data pipelines , metadata catalogs, and ontologies for AI training and inference. * Develop and maintain REST APIs and SDK integrations . * Collaborate with product, security ...

What if your knowledge English language could help improve the AI.     WHAT YOU'LL DO   * Evaluate the aesthetic quality, readability, and overall polish of digital map designs. * Assess ...

Sr. Director Data & AI Platform Architect

Atlanta, GA · On-site

$64.75 - $86.50/hr

Design for reliability, security, latency, data residency, and cost optimization across training and inference workloads. * Lead architecture for industrial edge AI, including real-time inference and ...

AI Engineer - Remote

Atlanta, GA · Remote

$80 - $120/hr

Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training ... Strong understanding of algorithms and data structures . * Experience with bug fixing and debugging ...

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 ...

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 ...

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 ...

Generative AI Data Engineer III

Atlanta, GA · On-site

$110K - $132K/yr

Develop and maintain data pipelines, model training workflows, and production-grade application components that support AI-enabled products * Analyze structured and unstructured data to identify ...

It also hosts centers of excellence for natural language processing, experimental design, generative AI, & data science training/research. At State Farm, we believe in fostering professional growth ...

Showing results 41-60

Data Annotation Ai Trainer information

See Decatur, GA salary details

$13

$24

$35

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

As of Sep 9, 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.

What is a data annotation AI trainer?

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 does a data annotation AI trainer do?

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 are the key skills and qualifications needed to thrive as a data annotation AI trainer?

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.

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. Salaries can range from entry-level rates to higher wages for specialized skills or advanced tools proficiency.

Is data annotation AI trainer job legitimate?

Data annotation AI trainer jobs are legitimate roles involving labeling data to help train machine learning models. These positions often require attention to detail and familiarity with annotation tools, and they are commonly offered by tech companies and data labeling firms. However, job seekers should verify the employer's credibility to avoid scams.

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For Data Annotation Ai Trainer jobs in Decatur, GA, the most frequently searched job titles are:

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Infographic showing various Data Annotation Ai Trainer job openings in Decatur, GA as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 15% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $50,236 per year, or $24.2 per hour.

AI & Data Solution Architect

Atlanta, GA • On-site

Carrier
Construction Materials Wholesalers • 10K+ employees

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 15 days ago


Carrier rating

7.6

Company rating: 7.6 out of 10

Based on 49 frontline employees who took The Breakroom Quiz

252nd of 499 rated machine equipment manufacturers


Job description

About Carrier
Carrier Global Corporation, global leader in intelligent climate and energy solutions, is committed to creating innovations that bring comfort, safety and sustainability to life. Through cutting-edge advancements in climate solutions such as temperature control, air quality and transportation, we improve lives, empower critical industries and ensure safe transport of food, lifesaving medicines and more. Since inventing modern air conditioning in 1902, we lead with purpose: enhancing the lives we live and the world we share. We continue to lead because of our world-class, inclusive workforce that puts the customer at the center of everything we do. For more information, visit corporate.carrier.com or follow on Carrier social media at @Carrier.
About the Role
Carrier is seeking a highly skilled and forward-thinking AI & Data Solution Architect to lead the design, architecture, and delivery of enterprise-scale Data, Analytics, and AI solutions across the organization. This role will play a critical part in defining enterprise data and AI architecture standards, shaping cloud-first platforms, and enabling scalable, secure, and cost-efficient adoption of analytics, machine learning, and generative AI.
The ideal candidate brings deep expertise across GCP, AWS, and Snowflake, strong experience with modern data platforms and lakehouse architectures, and proven leadership in AI/ML, Generative AI, and MLOps/LLMOps initiatives in production environments.
Key Responsibilities
Strategic & Architectural Leadership
  • Define and evolve Carrier's AI & Data architecture strategy and roadmap, aligned with business priorities and IT strategy.
  • Serve as a thought leader for modern data, analytics, and AI architectures, including Generative AI and Agentic AI.
  • Identify, evaluate, and recommend emerging technologies, platforms, and architectural patterns.
  • Partner with business and digital leaders to identify and prioritize high-impact AI and analytics use cases.
  • Provide architectural guidance on ethical, responsible, and compliant AI adoption.

Solution Architecture & Platform Design
  • Lead end-to-end architecture design for complex data, analytics, and AI initiatives, ensuring scalability, performance, security, and cost efficiency.

Design and govern cloud-based data platforms leveraging:
  • Google Cloud Platform (BigQuery, Vertex AI, Dataflow, Dataproc, Looker)
  • AWS (S3, Glue, EMR, Redshift, SageMaker, Lambda)
  • Snowflake (data warehouse, data sharing, performance optimization)

Architect modern enterprise data architectures, including:
  • Data Lake, Lakehouse, Data Mesh, and Data Fabric
  • Open table/file formats such as Parquet, Iceberg, Delta Lake
  • Medallion architectures (Bronze/Silver/Gold)
  • Define data ingestion and integration patterns across structured and semi-structured sources (SAP, Oracle, Salesforce, JDE, Ariba, IoT, APIs, NoSQL).
  • Define and enforce data quality, metadata, lineage, and access control standards.

AI, ML, and Generative AI Architecture
  • Design and implement AI/ML and GenAI solution architectures from experimentation through production.
  • Architect solutions for core ML use cases such as demand forecasting, predictive maintenance, supply chain optimization, and customer analytics.

Lead architecture for Generative AI and Agentic AI, including:
  • LLM integration with tools, APIs, and knowledge bases (RAG patterns)
  • Autonomous and semi-autonomous agent workflows
  • Fine-tuning, prompt engineering, and optimization strategies
  • Establish MLOps and LLMOps frameworks for model training, deployment, monitoring, evaluation, and lifecycle management.
  • Define approaches for model observability, explainability (XAI), bias detection, and risk mitigation.

Technical Leadership & Collaboration
  • Provide technical leadership and mentorship to solution architects, data engineers, data scientists, and AI engineers.
  • Collaborate closely with platform, DevOps, and cloud engineering teams to enable automation-driven deployments.
  • Review solution designs, conduct architecture assessments, and provide impact analysis and recommendations.
  • Communicate complex technical concepts clearly to both technical and executive audiences.

Required Qualifications
  • Bachelor's Degree in engineering or technical discipline.
  • 8+ years hands-on experience in data architecture, analytics solutions, and/or cloud data platforms.
  • 3+ years of hands-on experience delivering AI/ML and Generative AI solutions in production.
  • 6+ years of experience designing and scaling enterprise data platforms on GCP, AWS, and Snowflake.
  • Must have unrestricted authorization to work in the USA. No visa sponsoring available.

Preferred Qualifications
  • Master's degree or Ph.D. preferred.
  • Demonstrated success leading large-scale, cross-functional data and AI initiatives.
  • Cloud platforms: GCP and AWS (multi-cloud experience strongly preferred)
  • Data platforms: Snowflake, BigQuery, Data Lakes, Lakehouse architectures
  • Programming & analytics: Python, SQL, PySpark
  • AI/ML frameworks (TensorFlow, PyTorch, scikit-learn, XGBoost)
  • GenAI/LLM frameworks, vector databases, graph databases
  • Data engineering tools (Spark, Kafka, Hadoop)
  • Containerization and orchestration (Docker, Kubernetes)
  • CI/CD and DevOps practices
  • Strong understanding of data modeling, performance tuning, and cost optimization.
  • Strong architectural thinking and problem-solving skills.
  • Excellent communication and stakeholder management capabilities.
  • Ability to influence without authority and operate effectively in matrixed organizations.
  • Self-driven, organized, and able to manage multiple priorities.

Preferred Certifications
  • AWS Certified Solutions Architect
  • Google Cloud Professional Cloud Architect
  • Snowflake or Data Engineering certifications

Pay Range
The annual salary for this position is between $96,000.00 - $192,000.00 annually. Factors which may affect pay within this range include, but are not limited to, skills, education, experience, and other unique qualifications of the successful candidate. The pay range will not be below the minimum wage applicable to the jurisdiction in which the applicant is to be employed.
Other Compensation
This position is entitled to short-term cash incentives, subject to plan requirements.
Benefits
Employees are eligible for benefits, including:
  • Health Care Benefits: Medical, Dental, Vision; Wellness incentives
  • Retirement Benefits
  • Time off and Leave: Paid vacation days, up to 15 days; paid sick days, up to 5 days; paid personal leave, up to 5 days; paid holidays, up to 13 days; birth and adoption leave; parental leave; family and medical leave; bereavement leave; jury duty leave; military leave; purchased vacation
  • Disability: Short-term and long-term disability
  • Life Insurance and Accidental Death and Dismemberment
  • Tax-Advantaged Accounts: Health Savings Account; Health Care Spending Account; Dependent Care Spending Account
  • Tuition Assistance

To learn more about our benefits offering, please click here Work with us | Carrier CorporateThe specific benefits available to any employee may vary depending on state and local laws and eligibility factors, such as date of hire and the applicability of collective bargaining agreements.
Carrier EEO Statement and Accommodations Process
Carrier is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status or any other applicable state or federal protected class. Carrier provides affirmative action in employment for qualified individuals with a Disability and Protected Veterans in compliance with section 503 of Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act.
If you require a reasonable accommodation to complete the application process, participate in an interview, or otherwise engage in the hiring process, please contact us at Carrier.Recruiting@carrier.com. We will make every effort to meet your needs in accordance with applicable laws.
Application Deadline
Applications will be accepted for at least 3 days from Job Posting Date: 3 September 2026
Job Applicant's Privacy Notice
Please click on the link to review the Job Applicant Privacy Notice.
Use of AI
Technology-enabled tools may support parts of the recruitment process, with oversight by people.

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About Carrier

Sourced by ZipRecruiter

Carrier is the leading global provider of healthy, safe and sustainable building and cold chain solutions with a world-class, diverse workforce with business segments covering HVAC, refrigeration, and fire and security. We make modern life possible by delivering safer, smarter and more sustainable services that make a difference to people and our planet while revolutionizing industry trends. This is why we come to work every day. Join us and we can make a difference together.

Industry

Construction materials wholesalers

Company size

10,000+ Employees

Headquarters location

Palm Beach Gardens, FL, US