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Freelance Machine Learning Data Annotation Jobs in Georgia

Job Brief Data Science, Machine Learning, Programming Are you VIGILANT about your career? RealmOne definitely is! RealmOne was built on the principle that people matter first and foremost. We believe ...

AI Machine Learning Scientist AI Machine Learning Scientist Location: This role requires associates ... Will work closely with engineering, product, data science, and business teams to translate complex ...

CNN is a global leader in news and information, seeking a Machine Learning Engineer I to build and ... data preprocessing, feature engineering, model training, evaluation, and deployment • Solid ...

Guides students through data preprocessing, feature selection, building and comparing ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Guides students through data preprocessing, feature selection, building and comparing ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Guides students through data preprocessing, feature selection, building and comparing ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Guides students through data preprocessing, feature selection, building and comparing ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Guides students through data preprocessing, feature selection, building and comparing ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Guides students through data preprocessing, feature selection, building and comparing ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Guides students through data preprocessing, feature selection, building and comparing ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

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Freelance Machine Learning Data Annotation information

What is the difference between Freelance Machine Learning Data Annotation vs Data Labeler?

AspectFreelance Machine Learning Data AnnotationData Labeler
CredentialsBasic understanding of annotation tools, sometimes with specialized domain knowledgeTypically no formal credentials required
Work EnvironmentRemote, flexible, project-basedOften remote or in-house, depending on employer
Industry UsageUsed in AI/ML development for training datasetsUsed in data preparation for various industries, including AI
Search/Comparison IntentFocuses on freelance opportunities, project scope, and toolsMore general, often employed by companies for data labeling tasks

Freelance Machine Learning Data Annotation involves independently completing annotation tasks for AI models, often with specialized tools and domain knowledge. Data Labelers typically perform similar tasks but may work as employees or contractors within a company. The main difference lies in the freelance nature and project-based work of data annotation roles.

What are the key skills and qualifications needed to thrive as a Freelance Machine Learning Data Annotation specialist, and why are they important?

To thrive as a Freelance Machine Learning Data Annotation specialist, you need attention to detail, basic knowledge of data labeling concepts, and familiarity with machine learning data types. Experience with annotation tools (such as Labelbox, RectLabel, or CVAT) and understanding of data privacy protocols are commonly required. Strong communication, time management, and the ability to follow complex guidelines are essential soft skills for delivering accurate results. These skills ensure high-quality, consistent data annotation, which is critical for effective machine learning model training and performance.

What is freelance machine learning data annotation?

Freelance machine learning data annotation involves labeling or tagging data—such as images, text, audio, or video—to help train machine learning models. As a freelancer, you work independently or through platforms, completing specific annotation tasks assigned by companies or researchers. This work is essential because high-quality labeled data is required for AI systems to learn and make accurate predictions. Annotators may categorize images, transcribe speech, or highlight relevant information in documents. The flexibility of freelancing allows you to choose projects and work remotely.

What are some common challenges faced by freelance machine learning data annotators, and how can they be managed?

Freelance machine learning data annotators often encounter challenges such as maintaining data accuracy, handling repetitive tasks, and understanding complex annotation guidelines. Staying organized and regularly reviewing project instructions can help ensure consistency and quality in annotations. Additionally, communicating proactively with project managers and utilizing annotation tools efficiently can help manage workload and clarify uncertainties. Building expertise in different data types (text, image, audio) also allows annotators to diversify their projects and reduce monotony.
What are popular job titles related to Freelance Machine Learning Data Annotation jobs in Georgia? For Freelance Machine Learning Data Annotation jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Freelance Machine Learning Data Annotation jobs in Georgia look for? The top searched job categories for Freelance Machine Learning Data Annotation jobs in Georgia are:
What cities in Georgia are hiring for Freelance Machine Learning Data Annotation jobs? Cities in Georgia with the most Freelance Machine Learning Data Annotation job openings:

Other

Medical, Dental, Vision, Retirement, PTO

Posted 9 days ago


Job description

For 80 years, Murata Electronics has been a tireless innovator, committed to developing technologies that profoundly change the world around us. Our solutions are inside more state-of-the-art products than you may imagine. Additionally, we enable other global companies to turn their visions into reality - from mobile communications to computers and networking, medical devices to power solutions, smart home technologies to automotive electronics. Our past innovations drive today's technology - and our present innovations are shaping tomorrow's.

Whatever the future holds, you can be sure that Murata will be a part of it.

Why Consider This Job Opportunity

The AI and Data Solutions Manager leads the delivery, enablement, and continuous improvement of enterprise AI, machine learning (ML), and data solutions. This role partners with IT leadership, business stakeholders, and technical teams to identify high-value opportunities and deliver scalable solutions that improve operational efficiency, user adoption, and measurable business outcomes.

This is a hands-on technical leadership role that combines solution development, project coordination, data platform knowledge, and organizational enablement. The ideal candidate has practical experience building and deploying production AI/ML solutions, working with enterprise data platforms and cloud technologies, and translating business needs into secure, supportable, adoption-ready solutions.

Workplace Policy

Hybrid from Atlanta, GA or Carrollton, TX  

What To Expect (Essential Job Responsibilities)
  • Lead planning, coordination, execution, and delivery of AI, machine learning, and data solution initiatives across the organization.
  • Design, develop, test, deploy, and support practical AI/ML solutions, including prototypes, pilots, and production-ready applications that deliver business value.
  • Partner with business stakeholders to identify opportunities, define use cases, document requirements, and translate business needs into actionable solution plans.
  • Monitor solution performance, adoption, and business impact, identifying opportunities for continuous improvement.
  • Collaborate with IT leadership, data teams, application teams, security, and global partners to align solutions with enterprise architecture, data governance, and security standards.
  • Contribute to the development and governance of enterprise AI and data practices, including standards, guardrails, responsible AI practices, documentation, and lifecycle management.
  • Promote adoption of approved AI and data platforms through training support, use-case development, stakeholder communication, and practical user guidance.
  • Evaluate and recommend tools, platforms, architectures, and integration approaches that align with business requirements and enterprise standards.
  • Support organizational AI, data solution roadmaps, implement plans and delivery timelines in partnership with IT leadership and Business Team leadership.
Miscellaneous Job Responsibilities
  • Provide mentorship and knowledge sharing to internal team members to strengthen AI, machine learning, data platform, and solution delivery capabilities.
  • Stay current on emerging AI, automation, cloud, and data platform capabilities, recommending practical applications where they may create business value.
  • Assist with troubleshooting, issue resolution, enhancement requests, and post-implementation support for approved AI and data solutions.
  • Support special projects, department initiatives, and other duties as assigned.
What Is Required (Qualifications)
  • Bachelor's degree in Computer Science, Information Systems, Data Analytics, Artificial Intelligence, Engineering, or a related technical field.
  • 5+ years of experience in AI, machine learning, data engineering, cloud data platforms, or related technical roles.
  • Experience developing and deploying production-level AI/ML solutions using Python and related frameworks or tools.
  • Experience with cloud data platforms and tools, including AWS, Snowflake, and SQL, to support analytics and AI/ML workloads.Experience designing or supporting data and AI/ML workloads in a cloud environment (AWS or Azure).
  • Experience leading or coordinating cross-functional technical projects from requirements through implementation.
  • Ability to translate business needs into technical requirements, solution designs, implementation plans, and adoption approaches.
  • Ability to work independently, manage competing priorities, and deliver high-quality work in a collaborative environment.
  • Ability to explain technical concepts clearly to business stakeholders and translate business problems into practical technical approaches.
  • Strong problem-solving, documentation, communication, and presentation skills.
How To Stand Out (Preferred Qualifications)
  • Master's degree or professional certification in related technology, analytics, cloud, or AI discipline.
  • Experience leading development teams, cross-functional project teams, or technology initiatives.
  • Experience with designing and developing Agentic AI applications.
  • Experience with Microsoft Azure, Copilot Studio, Power Platform, or Microsoft 365 AI enablement capabilities.
  • Experience with AWS SageMaker, Amazon Bedrock, MLOps practices, and APIs.
  • Experience supporting AI adoption and organizational enablement programs.
  • Familiarity with AI governance, responsible AI practices, data governance, and solution lifecycle management.
  • Experience in electronics manufacturing, sales and business development, business operations, digital experience, supply chain, or related industry domains.
Perks
  • Comprehensive benefits package including medical, dental, and vision insurance.
  • Generous Paid Time Off including paid holidays and floating holidays.
  • 401(k) employer match on retirement planning.
  • Hybrid working schedule for eligible positions.
  • Tuition reimbursement on approved programs.
  • Flexible and health spending accounts.
  • Talent Development program.

Imagine the possibilities as a member of Murata's innovative global team.

                                                                Be an innovator - Join Murata!                                                                  
    Murata offers competitive compensation and comprehensive benefits.
    Equal Opportunity/Affirmative Action Employer - M/F/Disabilities/Veterans