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Freelance Ai Data Labeling Jobs in Decatur, GA (NOW HIRING)

As a Full Stack AI Platform Engineer here at Honeywell, you will design, build, and scale AI ... Design automated workflows to collect, label, and manage datasets, ensuring high-quality data is ...

New

Sr Advanced AI Platform Engineer

Druid Hills, GA · On-site

$101K - $139K/yr

As a Full Stack AI Platform Engineer here at Honeywell, you will design, build, and scale AI ... Design automated workflows to collect, label, and manage datasets, ensuring high-quality data is ...

New

Sr Advanced AI Platform Engineer

Lithia Springs, GA · On-site

$96K - $132K/yr

As a Full Stack AI Platform Engineer here at Honeywell, you will design, build, and scale AI ... Design automated workflows to collect, label, and manage datasets, ensuring high-quality data is ...

New

Sr Advanced AI Platform Engineer

Dunwoody, GA · On-site

$103K - $142K/yr

As a Full Stack AI Platform Engineer here at Honeywell, you will design, build, and scale AI ... Design automated workflows to collect, label, and manage datasets, ensuring high-quality data is ...

New

Sr Advanced AI Platform Engineer

Powder Springs, GA · On-site

$99K - $135K/yr

As a Full Stack AI Platform Engineer here at Honeywell, you will design, build, and scale AI ... Design automated workflows to collect, label, and manage datasets, ensuring high-quality data is ...

New

Sr Advanced AI Platform Engineer

Decatur, GA · On-site

$99K - $136K/yr

As a Full Stack AI Platform Engineer here at Honeywell, you will design, build, and scale AI ... Design automated workflows to collect, label, and manage datasets, ensuring high-quality data is ...

New

Sr Advanced AI Platform Engineer

Doraville, GA · On-site

$102K - $140K/yr

As a Full Stack AI Platform Engineer here at Honeywell, you will design, build, and scale AI ... Design automated workflows to collect, label, and manage datasets, ensuring high-quality data is ...

New

As a Full Stack AI Platform Engineer here at Honeywell, you will design, build, and scale AI ... Design automated workflows to collect, label, and manage datasets, ensuring high-quality data is ...

New

Sr Advanced AI Platform Engineer

Vinnings, GA · On-site

$97K - $134K/yr

As a Full Stack AI Platform Engineer here at Honeywell, you will design, build, and scale AI ... Design automated workflows to collect, label, and manage datasets, ensuring high-quality data is ...

New

Sr Advanced AI Platform Engineer

East Point, GA · On-site

$100K - $138K/yr

As a Full Stack AI Platform Engineer here at Honeywell, you will design, build, and scale AI ... Design automated workflows to collect, label, and manage datasets, ensuring high-quality data is ...

New

Sr Advanced AI Platform Engineer

North Atlanta, GA · On-site

$102K - $141K/yr

As a Full Stack AI Platform Engineer here at Honeywell, you will design, build, and scale AI ... Design automated workflows to collect, label, and manage datasets, ensuring high-quality data is ...

New

As a Full Stack AI Platform Engineer here at Honeywell, you will design, build, and scale AI ... Design automated workflows to collect, label, and manage datasets, ensuring high-quality data is ...

New

Sr Advanced AI Platform Engineer

Decatur, GA · On-site

$102K - $140K/yr

As a Full Stack AI Platform Engineer here at Honeywell, you will design, build, and scale AI ... Design automated workflows to collect, label, and manage datasets, ensuring high-quality data is ...

New

Support end-to-end ML workflows by contributing to data preparation, feature/label creation ... Commitment to staying up to date on the latest developments in the AI/ML ecosystem and apply ...

Support end-to-end ML workflows by contributing to data preparation, feature/label creation ... Commitment to staying up to date on the latest developments in the AI/ML ecosystem and apply ...

... of AI and high-performance computing. Responsibilities Lead a small team of technicians (DCT I-V ... labeling, terminations -- and correct mistakes in the field immediately Ensure all team members ...

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Showing results 1-20

Freelance Ai Data Labeling information

See Decatur, GA salary details

$14

$46

$129

How much do freelance ai data labeling jobs pay per hour?

As of Jul 19, 2026, the average hourly pay for freelance ai data labeling in Decatur, GA is $46.58, according to ZipRecruiter salary data. Most workers in this role earn between $23.70 and $60.34 per hour, depending on experience, location, and employer.

What is freelance AI data labeling?

Freelance AI data labeling involves working independently to annotate or tag data, such as images, text, audio, or video, to help train artificial intelligence and machine learning models. Freelancers are hired by companies or platforms to manually identify and categorize data so that algorithms can learn to recognize patterns and make accurate predictions. This work is essential for improving the accuracy and performance of AI systems in various applications, including self-driving cars, voice assistants, and content moderation. Typically, freelancers need attention to detail, basic technical skills, and sometimes domain-specific knowledge, depending on the project's requirements.

What is the difference between Freelance Ai Data Labeling vs Data Annotation Specialist?

AspectFreelance Ai Data LabelingData Annotation Specialist
CredentialsNone required, but familiarity with labeling tools helpsOften requires training or certification in annotation tools
Work EnvironmentRemote, flexible freelance projectsTypically employed by companies or agencies, sometimes remote
Employer & IndustryFreelance platforms, AI/ML industryTech companies, AI development teams
Search & Comparison IntentLooking for freelance labeling jobsSeeking full-time or contract annotation roles

Freelance Ai Data Labeling involves independently completing labeling tasks for various clients, offering flexibility and project-based work. Data Annotation Specialists often work within organizations or agencies, focusing on detailed annotation tasks as part of a team. Both roles require knowledge of labeling tools, but freelancers typically have more varied projects, while specialists may have more structured employment settings.

What are the key skills and qualifications needed to thrive as a Freelance AI Data Labeler, and why are they important?

To thrive as a Freelance AI Data Labeler, you need strong attention to detail, basic understanding of machine learning concepts, and the ability to follow complex guidelines accurately, usually supported by a high school diploma or higher education. Familiarity with data annotation platforms, labeling tools (like Labelbox or Supervisely), and sometimes specific domain knowledge is often required. Excellent time management, reliability, and clear communication help freelancers stand out in delivering high-quality, consistent results. These skills ensure that labeled data is accurate and reliable, directly impacting the effectiveness of AI models and client satisfaction.

What are some typical challenges faced by freelance AI data labelers, and how can they be managed?

Freelance AI data labelers often encounter challenges such as maintaining accuracy while working with large volumes of repetitive data, understanding complex labeling guidelines, and managing tight deadlines across multiple clients. Effective strategies include regularly reviewing project instructions, using productivity tools to track progress, and seeking clarification from clients when uncertainties arise. Maintaining open communication with project managers and participating in feedback sessions can also help improve labeling quality and efficiency.
What are popular job titles related to Freelance Ai Data Labeling jobs in Decatur, GA? For Freelance Ai Data Labeling jobs in Decatur, GA, the most frequently searched job titles are:
What job categories do people searching Freelance Ai Data Labeling jobs in Decatur, GA look for? The top searched job categories for Freelance Ai Data Labeling jobs in Decatur, GA are:
What cities near Decatur, GA are hiring for Freelance Ai Data Labeling jobs? Cities near Decatur, GA with the most Freelance Ai Data Labeling job openings:
Sr Advanced AI Platform Engineer

Sr Advanced AI Platform Engineer

Honeywell

Marietta, GA

$100K - $138K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 2 days ago


Honeywell rating

8.3

Company rating: 8.3 out of 10

Based on 183 frontline employees who took The Breakroom Quiz

65th of 528 rated manufacturers


Job description

Job Description
We are seeking a Full Stack AI Platform Engineer to join our Data Engineering, AI & ML Platform team. This role is central to designing, building, and scaling the enterprise AI/ML platform that powers intelligent automation across a global portfolio.
As a Full Stack AI Platform Engineer here at Honeywell, you will design, build, and scale AI systems end-to-end - from high-throughput IoT streaming pipelines and knowledge graph infrastructure, through LLM orchestration and RAG services, to the React-based interfaces that surface autonomous insights to plant engineers, facility managers, and OT security analysts.
You will work at the intersection of data engineering, machine learning operations, and edge AI - building production-grade infrastructure that processes billions of IoT events from building management systems, deploys models to edge devices, and enables AI-driven applications including predictive diagnostics, energy monitoring, and RAG-based knowledge systems.
This is a high-impact individual contributor role for someone who thrives in ambiguity, ships production systems, and can operate across the full stack from cloud-native platforms to edge GPU hardware. You will report to our Sr Data Engineering Manager and work from our Atlanta, GA location on a hybrid basis.
  • Note: for the first 90 days, new hires must be prepared to work onsite 100% M-F.

KEY RESPONSIBILITIES
AI/ML Platform Engineering
  • Develop high-performance, production-ready Python APIs using FastAPI to serve as the primary interface for on-device model inference
  • Design, build, and maintain enterprise AI/ML platform services on multi-cloud infrastructure including model deployment, serving and experiment tracking.
  • Build robust CI/CD stacks to automate the testing of inference logic and the deployment of API services to edge devices.
  • Implement ML orchestration workflows using LangGraph, MLflow, and custom orchestration layers for multi-agent AI systems.
  • Develop and integrate AI workloads using ML-Ops and tracing tools like LangSmith.
  • Design and implement automated data processing pipelines within FastAPI to handle real-time sensor or image inputs for the model.
  • Bridge the gap between research and deployment by converting code from experimental into modular, maintainable Python packages.

Edge AI & Inference
  • Ability to integrate and run pre-built AI models on local hardware using standard industry runtimes.
  • Skilled at building the software logic required to process data inputs and handle model outputs efficiently.
  • Expert at developing Python-based services and automating their deployment to devices via standardized pipelines.
  • Capable of monitoring and optimizing software to run reliably within strict memory and hardware limitations.
  • Experience deploying containerized models from Azure to edge devices using Azure IoT Edge or managed online endpoints

Data & Knowledge Engineering
  • Experience building pipelines to structure, clean, and store data for model training or real-time retrieval (RAG) on edge devices
  • Ability to convert experimental data processing logic from notebooks into production-ready Python modules.
  • Design automated workflows to collect, label, and manage datasets, ensuring high-quality data is available for continuous model improvement.

Production Operations & Reliability
  • Own platform reliability for AI services serving multiple business units.
  • Implement observability, monitoring, and alerting for ML pipelines and inference services.
  • Drive cost optimization across data platform workloads, cloud compute, and storage infrastructure.
  • Proficient in using Azure Machine Learning Studio to manage the full lifecycle of models, including registration, versioning, and monitoring.

Qualifications
YOU MUST HAVE
  • 8 plus years of experience in software engineering, data engineering, or ML platform engineering.
  • Strong proficiency in Python and at least one systems language (Python, Go, Rust, C++).
  • Deep hands-on experience with cloud-native data platforms (Databricks, BigQuery, Azure Data Lake, Kubernetes).
  • Production experience building and deploying ML/AI pipelines including model serving, feature engineering, and experiment tracking.
  • Experience with LLM application frameworks such as LangChain, LangGraph, and Langsmith or equivalent agentic AI orchestration tools.
  • Experience with edge AI deployment on NVIDIA Jetson or similar embedded GPU platforms.
  • Experience with knowledge graphs, ontology engineering, or semantic web technologies.

WE VALUE
  • Bachelor's / Advanced degree in Computer Science, Artificial Intelligence, or related field.
  • Background in building management systems, HVAC, energy management, or industrial IoT domains.
  • Strong leadership and management skills.
  • Experience working in an agile development environment.
  • Proven ability to drive successful cloud development projects and initiatives.
  • Ability to work in a fast-paced and dynamic environment.
  • Attention to detail and excellent problem-solving capability.

US PERSON REQUIREMENT
Due to compliance with U.S. export control laws and regulations, candidate must be a U.S. Person, which is defined as a U.S. citizen, a U.S. permanent resident, or have protected status in the U.S. under asylum or refugee status, or have the ability to obtain an export authorization.
ABOUT HONEYWELL
Honeywell International Inc. (NYSE: HON) invents and commercializes technologies that address some of the world's most critical challenges around energy, safety, security, air travel, productivity, and global urbanization. We are a leading software-industrial company committed to introducing state-of-the-art technology solutions to improve efficiency, productivity, sustainability, and safety in high growth businesses in broad-based, attractive industrial end markets. Our products and solutions enable a safer, more comfortable, and more productive world, enhancing the quality of life of people around the globe. Learn more here: https://www.honeywell.com/us/en
BENEFITS OF WORKING FOR HONEYWELL
In addition to a performance-driven salary, cutting-edge work, and developing solutions side-by-side with dedicated experts in their fields, Honeywell employees are eligible for a comprehensive benefits package. This package includes employer-subsidized Medical, Dental, Vision, and Life Insurance; Short-Term and Long-Term Disability; 401(k) match, Flexible Spending Accounts, Health Savings Accounts, EAP, and Educational Assistance; Parental Leave, Paid Time Off (for vacation, personal business, sick time, and parental leave), and 12 Paid Holidays. For more information: https://benefits.honeywell.com/
The application period for the job is estimated to be 40 days from the job posting date; however, this may be shortened or extended depending on business needs and the availability of qualified candidates. Posting date: 5/21/2026
About Us
Honeywell helps organizations solve the world's most complex challenges in automation, the future of aviation and energy transition. As a trusted partner, we provide actionable solutions and innovation through our Aerospace Technologies, Building Automation, Energy and Sustainability Solutions, and Industrial Automation business segments - powered by our Honeywell Forge software - that help make the world smarter, safer and more sustainable.

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Honeywell logo

About Honeywell

Sourced by ZipRecruiter

Honeywell is charging into the Industrial IoT revolution with the establishment of Honeywell Connected Enterprise (HCE), building on our heritage of invention and deep, on-the-ground industry expertise. HCE is the leading industrial disruptor, building and connecting software solutions to streamline and centralize the assets, people and processes that help our customers make smarter, more accurate business decisions. Moving at the speed of software, we are creating, innovating and delivering solutions fast, challenging the way things have always been done, piloting new ways for all of us to work, and expecting our successes to set new standards for our customers and for Honeywell. The Chief Architect for Honeywell Connected Enterprise will lead a team of architects and system engineers responsible for the design of applications and infrastructure that deliver high value outcomes for customers in industrial, buildings, distribution centers, and aerospace vertical markets. The Chief Architect will work directly with leadership, development teams, and offering management to design well integrated solutions that utilize software platforming to encourage reuse and speed to market.

Industry

Furniture manufacturing

Company size

10,000+ Employees

Headquarters location

Charlotte, NC, US

Year founded

1906