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Freelance Machine Learning Data Annotation Jobs in Kansas

Previous experience in data annotation, QA, or testing * Interest in AI, machine learning, or emerging technologies What We Offer * Paid, flexible task-based work * Opportunity to work on innovative ...

Previous experience in data annotation, QA, or testing * Interest in AI, machine learning, or emerging technologies What We Offer * Paid, flexible task-based work * Opportunity to work on innovative ...

Previous experience in data annotation, QA, or testing * Interest in AI, machine learning, or emerging technologies What We Offer * Paid, flexible task-based work * Opportunity to work on innovative ...

Previous experience in data annotation, QA, or testing * Interest in AI, machine learning, or emerging technologies What We Offer * Paid, flexible task-based work * Opportunity to work on innovative ...

Previous experience in data annotation, QA, or testing * Interest in AI, machine learning, or emerging technologies What We Offer * Paid, flexible task-based work * Opportunity to work on innovative ...

AI Engineer

Leawood, KS

$111.40K - $133.80K/yr

Use modern annotation tools and AWS-based data infrastructure to scale secure, traceable, and compliant AI data workflows. Qualifications * Bachelor's degree in Computer Science, Machine Learning ...

AI Engineer

Leawood, KS · On-site

$111.40K - $133.80K/yr

Use modern annotation tools and AWS-based data infrastructure to scale secure, traceable, and compliant AI data workflows. Qualifications * Bachelor's degree in Computer Science, Machine Learning ...

AI Engineer

Leawood, KS · On-site

$111.40K - $133.80K/yr

Use modern annotation tools and AWS-based data infrastructure to scale secure, traceable, and compliant AI data workflows. Qualifications * Bachelor's degree in Computer Science, Machine Learning ...

Work closely with the data science team to create scalable and efficient data pipelines and algorithms. * Collaborate with software engineers to integrate machine learning models into production ...

On a daily basis, you will explore data and formulate problem statements, develop and deploy ... Experiment with Proof of Concept Machine Learning model improvements, scale them to production, and ...

On a daily basis, you will explore data and formulate problem statements, develop and deploy ... Experiment with Proof of Concept Machine Learning model improvements, scale them to production, and ...

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

Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Engineers/Data Scientists, Machine Learning engineers for ...

For data science/machine learning positions required skills include a bachelors degree or masters degree in computer science, computer engineering, electrical engineering, information systems, IT ...

As a Machine Learning Engineer, you will prepare datasets, train and optimize models, and maintain ... Debug data, models, and system issues * Build training, inference, and eval pipelines Skills ...

Want to learn more about our Data Science Team: Learn more about our team culture here: Watch our talk at Amazon Tech Talks: StackAdapt is a remote-first company, and we are open to candidates ...

Senior Machine Learning Engineer

Wichita, KS · On-site

$93.50K - $128.40K/yr

Theywillleveragea variety of machine learning approaches to processvery largestreams of unstructured data in real time in scalable and secure cloud-native environments.As the first dedicated internal ...

Senior Machine Learning Engineer

Wichita, KS · On-site

$103.20K - $141.60K/yr

They will leverage a variety of machine learning approaches to process very large streams of unstructured data in real time in scalable and secure cloud-native environments. As the first dedicated ...

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Freelance Machine Learning Data Annotation information

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 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 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 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 popular job titles related to Freelance Machine Learning Data Annotation jobs in Kansas? For Freelance Machine Learning Data Annotation jobs in Kansas, the most frequently searched job titles are:
What job categories do people searching Freelance Machine Learning Data Annotation jobs in Kansas look for? The top searched job categories for Freelance Machine Learning Data Annotation jobs in Kansas are:
What cities in Kansas are hiring for Freelance Machine Learning Data Annotation jobs? Cities in Kansas with the most Freelance Machine Learning Data Annotation job openings:

AI/ML Data Contributor

TSMG

Wichita, KS

Part-time

Posted 20 hours ago


Job description

Project Overview
We are currently hiring AI/ML Data Contributors to support a range of active and upcoming projects across the United States. In this role, you will participate in tasks that help improve machine learning models, including data labeling, content evaluation, and user-based testing.

Projects may vary in scope and format, offering both remote and in-person opportunities (such as device or VR testing). This is a flexible, task-based role with the opportunity to participate in multiple projects over time.

Responsibilities
  • Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation
  • Participate in remote assignments or attend on-site sessions when required
  • Follow project guidelines and ensure high-quality task completion
  • Provide feedback and input during testing activities
  • Complete tasks within given timelines
Requirements
  • Must be based in the United States
  • Strong attention to detail and ability to follow instructions
  • Basic computer skills and familiarity with digital tools
  • Reliable internet connection and access to a computer or smartphone
  • Availability to participate in task-based work (schedule may vary)
Nice to Have
  • Previous experience in data annotation, QA, or testing
  • Interest in AI, machine learning, or emerging technologies
What We Offer
  • Paid, flexible task-based work
  • Opportunity to work on innovative AI/ML projects
  • Exposure to cutting-edge technologies (including device and VR testing)
  • Potential for ongoing project participation
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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