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Flexible Data Annotation Analyst Jobs in Wisconsin

This is a flexible, task-based role with the opportunity to participate in multiple projects ... Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate ...

This is a flexible, task-based role with the opportunity to participate in multiple projects ... Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate ...

This is a flexible, task-based role with the opportunity to participate in multiple projects ... Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate ...

This is a flexible, task-based role with the opportunity to participate in multiple projects ... Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate ...

This is a flexible, task-based role with the opportunity to participate in multiple projects ... Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate ...

This is a flexible, task-based role with the opportunity to participate in multiple projects ... Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate ...

WI · On-site

$70 - $90/hr

As a data analyst, you dive in data gathered across digital platforms (websites, mobile apps ... Flexible working hours: arrange your day as it suits you best. * A personal development trajectory ...

Ability to work a flexible schedule with off-hours/on-call support as required. Preferred qualifications include experience within the banking or financial services industry and data analytics ...

Ability to work a flexible schedule with off-hours/on-call support as required. Preferred qualifications include experience within the banking or financial services industry and data analytics ...

Ability to work a flexible schedule with off-hours/on-call support as required. Preferred qualifications include experience within the banking or financial services industry and data analytics ...

WI · On-site

$140 - $190/hr

They will be expected to gather and analyze data from multiple structured and unstructured data ... detection, annotation strategy and dataset creation, and evaluation of extraction quality.

... flexible on work hours within 7am-6pm Work Style: Remote--candidate must live within a 75 mile ... Data Analytics, Finance, Accounting, Business Administration, or related analytical disciplines

... flexible on work hours within 7am-6pm Work Style: Remote--candidate must live within a 75 mile ... Data Analytics, Finance, Accounting, Business Administration, or related analytical disciplines

... flexible on work hours within 7am-6pm Work Style: Remote--candidate must live within a 75 mile ... Data Analytics, Finance, Accounting, Business Administration, or related analytical disciplines

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Flexible Data Annotation Analyst information

What is a flexible data annotation analyst?

A Flexible Data Annotation Analyst is a professional responsible for labeling, categorizing, and tagging data—such as text, images, audio, or video—to prepare it for use in machine learning and artificial intelligence projects. The 'flexible' aspect typically means the role allows for remote work, adjustable hours, or project-based assignments. Analysts use specific tools and follow detailed guidelines to ensure data quality and consistency. This role is crucial for training accurate AI models, as well-annotated data helps improve the performance of automated systems.

What are the key skills and qualifications needed to thrive as a flexible data annotation analyst?

To thrive as a Flexible Data Annotation Analyst, you need keen attention to detail, analytical thinking, and a basic understanding of data labeling processes, often supported by a high school diploma or relevant experience. Familiarity with annotation tools such as Labelbox, Prodigy, or similar platforms, as well as basic proficiency in spreadsheet software, is typically required. Strong time management, adaptability, and clear communication skills help you deliver accurate results and work effectively with remote teams. These abilities ensure high-quality, consistent data labeling that is critical for training reliable machine learning models.

How does a flexible data annotation analyst typically collaborate with other teams to ensure data quality?

As a Flexible Data Annotation Analyst, you will frequently interact with data scientists, machine learning engineers, and project managers to clarify annotation guidelines and resolve ambiguities in the data. Collaboration often involves participating in virtual meetings, providing feedback on annotation tools, and reporting inconsistencies or uncertainties encountered during the labeling process. This teamwork ensures that annotated datasets meet project standards and contribute to high-quality machine learning outcomes. Regular communication and openness to feedback are key to success in this collaborative environment.

Can I work as a flexible data annotation analyst with no experience?

Flexible data annotation analyst roles often do not require prior experience, as training is typically provided to teach the necessary skills and tools. Basic computer literacy and attention to detail are usually sufficient to start, making it accessible for beginners interested in data labeling tasks.

Do data annotation jobs offer flexible hours?

Data annotation jobs often offer flexible hours, allowing workers to choose when they complete tasks, especially in freelance or remote roles. However, some positions may have deadlines or specific schedules depending on the employer or project requirements.

Does data annotation actually pay well?

Data annotation analysts typically earn hourly wages that are close to minimum wage or slightly above, depending on the platform and complexity of tasks. Pay rates can vary based on experience, skill level, and the employer, but generally, it is not considered a high-paying role. Many positions are freelance or part-time, which can impact overall earnings.

Is it hard to get hired for a flexible data annotation analyst?

Getting hired as a flexible data annotation analyst generally depends on having basic computer skills, attention to detail, and familiarity with annotation tools. Many positions are entry-level and may not require extensive experience, making the role accessible to a wide range of candidates. However, competition can vary based on the employer and location, and some roles may prefer candidates with prior experience or specific technical knowledge.

What are the most commonly searched types of Data Annotation Analyst jobs in Wisconsin?

The most popular types of Data Annotation Analyst jobs in Wisconsin are:

What are popular job titles related to Flexible Data Annotation Analyst jobs in Wisconsin?

For Flexible Data Annotation Analyst jobs in Wisconsin, the most frequently searched job titles are:

What job categories do people searching Flexible Data Annotation Analyst jobs in Wisconsin look for?

The top searched job categories for Flexible Data Annotation Analyst jobs in Wisconsin are:

What cities in Wisconsin are hiring for Flexible Data Annotation Analyst jobs?

Cities in Wisconsin with the most Flexible Data Annotation Analyst job openings:

AI/ML Data Contributor

Milwaukee, WI • On-site

Full-time

Re-posted yesterday


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 and identifying potential inconsistencies or verification signals in application materials based on available information. 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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