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Dataannotation Jobs in Rochester, MN (NOW HIRING)

DataAnnotation

Registered Nurse - AI Trainer

Rochester, MN · Remote

$50 - $60/hr

About the job: Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and setting your own schedule. We are looking for an existing Medical Expert (this is an ...

DataAnnotation

SOC Analyst - AI Trainer

Rochester, MN · Remote

$50 - $100/hr

About the job: Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and setting your own schedule. We are looking for existing cybersecurity professionals ...

DataAnnotation

RN - AI Trainer

Rochester, MN · Remote

$50 - $60/hr

About the job: Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and setting your own schedule. We are looking for an existing Medical Expert (this is an ...

DataAnnotation

LPN - AI Trainer

Rochester, MN · Remote

$50 - $60/hr

About the job: Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and setting your own schedule. We are looking for an existing Medical Expert (this is an ...

DataAnnotation

LVN - AI Trainer

Rochester, MN · Remote

$50 - $60/hr

About the job: Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and setting your own schedule. We are looking for an existing Medical Expert (this is an ...

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Dataannotation information

What are the key skills and qualifications needed to thrive as a Data Annotation Specialist, and why are they important?

To thrive as a Data Annotation Specialist, you need strong attention to detail, consistency, and a basic understanding of data labeling concepts, often supported by a high school diploma or relevant experience. Familiarity with annotation tools such as Labelbox, Supervisely, or CVAT, and sometimes basic knowledge of data formats and guidelines, is typically required. Excellent focus, time management, and the ability to follow detailed instructions help individuals excel in this role. These skills ensure the production of high-quality labeled datasets that are crucial for effective machine learning and AI model development.

What are data annotation jobs?

Data annotation jobs involve labeling or tagging data—such as text, images, audio, or video—to help train machine learning models. Annotators review raw data and add relevant information or classifications, such as identifying objects in a photo or transcribing spoken words. This work is essential for improving the accuracy of artificial intelligence systems. Data annotation can be performed manually or with the assistance of specialized software, and the tasks can range from simple to complex depending on the project requirements.

Is DataAnnotation a legit company?

Data annotation is a common task in data labeling roles, often performed by companies providing data annotation services or platforms. The legitimacy of a specific data annotation company depends on its reputation, reviews, and industry presence; job seekers should research the company's background and verify its credibility before applying. Many data annotation roles are offered by established firms or through reputable freelance platforms.

What kind of work do you do for data annotation?

Data annotation involves labeling or tagging data such as images, text, audio, or video to help machine learning models understand and process information. The work requires attention to detail and often uses specialized tools or platforms, with tasks varying from image classification to sentiment analysis. It is commonly performed remotely and may require basic knowledge of data formats and annotation guidelines.

Is it hard to get a job at DataAnnotation?

Data annotation jobs typically require attention to detail, basic computer skills, and sometimes familiarity with specific tools or platforms. The difficulty of securing such a position depends on the company's requirements and the applicant's experience, but many roles are entry-level and accessible with minimal prior experience.

Does data annotation tech actually pay?

Data annotation jobs typically pay hourly or per task rates, with wages ranging from minimum wage to around $15-$20 per hour depending on experience and complexity. Many roles require basic computer skills and attention to detail, and pay can vary based on the employer and location.

What is the difference between Dataannotation vs Data Analyst?

AspectDataannotationData Analyst
Required credentialsTypically high school diploma or equivalent; some roles may require basic technical skillsBachelor's degree in data science, statistics, or related field
Work environmentData labeling or annotation platforms, remote or on-siteOffice setting, often collaborative, with data analysis tools
Employer and industry usageTech companies, AI development, machine learning projectsBusiness, finance, healthcare, tech industries
Common search and comparison intentUnderstanding entry-level data roles, technical skills neededAnalyzing data, generating insights, decision-making

Dataannotation involves labeling data for machine learning, requiring basic technical skills and often minimal formal education. Data analysts interpret data to inform business decisions, requiring more advanced analytical skills and a degree. While both roles work with data, data annotation is more focused on preparing data, whereas data analysis involves deriving insights from data sets.

What are some common challenges faced by Data Annotation professionals, and how can they be managed effectively?

Data Annotation professionals often encounter challenges such as maintaining high accuracy while labeling large volumes of data and staying consistent with annotation guidelines across different projects. To manage these challenges, it's important to regularly communicate with team members, seek clarification on ambiguous cases, and utilize quality assurance processes like peer reviews. Many teams use specialized annotation tools and periodic training sessions to help annotators stay aligned and efficient. Developing strong attention to detail and adaptability also helps tackle the evolving requirements of data annotation tasks.
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Dataannotation jobs near you
SDET (Software Dev Engineer in Test) - AI Trainer

SDET (Software Dev Engineer in Test) - AI Trainer

DataAnnotation

Rochester, MN • Remote

$50 - $100/hr

Contractor

Posted 8 days ago

Job description

About the job:

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and setting your own schedule.

We are looking for an existing Coder (this is an opportunity to work with us as an independent contractor) to help advance AI development. As a DataAnnotation’s coder, you’ll be part of a growing community of over 100,000 professionals — including front-end, back-end, full-stack, machine learning, and other engineers — who are driving real-world impact in AI development.

Our platform offers an engaging blend of flexibility and challenge: you’ll work closely with state-of-the-art AI models to take on programming tasks that include creating and solving challenging coding problems, building beautiful apps with rich functionality, and synthesizing insights through data analysis and visualization. Your work directly contributes to refining intelligent systems that learn, adapt, and evolve.

To get started, once you sign up for an account, you'll take a short assessment (this serves as our version of an interview). If you pass that assessment, you’ll receive an email confirmation, and paid work will become available to you through our platform.

Advantages of contracting with us:

  • You'll be able to choose which projects you want to work on and when
  • You work on your own schedule, on your own computer, from the comfort of your own home
  • Projects are paid hourly starting at $50-100+/hr, with bonus rates available on some projects

Responsibilities:

  • Give AI chatbots coding challenges and evaluate their outputs
  • Evaluate the quality produced by AI models for correctness and performance

Qualifications:

  • Fluency in English (native or bilingual level)
  • Detail-oriented
  • Experience with algorithms, data structures, and debugging workflows
  • A current, in progress, or completed Bachelor's is preferred but not required

Note:

Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. This job is only available to those in the US, Canada, UK, Ireland, Australia, and New Zealand. Those located outside of these countries will not see work or assessments available on our site at this time. This is an independent contractor position.

#coder