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Data Annotation For Ai Jobs in Minnesota (NOW HIRING)

Imaging Tech II - Non-Exempt

MN · On-site +1

$38 - $43/hr

... data and accurate annotation review. * Collaborate with various departments on annotation and understanding annotation review and implementation of annotation labels for AI development purposes.

... software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by ... Recruiting for this role ends on 7/18/2026 Work You'll Do You will lead and deliver engagements, or ...

Define and manage processes for creation and maintenance of master data * Lead digital transformation initiatives including AI, analytics, and data platforms * Identify opportunities for AI-driven ...

Collaborate with product and research teams to refine data, guidelines, and best practices for AI-driven contract review solutions. Required Skills and Qualifications: * J.D. from an ABA-accredited ...

Collaborate with product and research teams to refine data, guidelines, and best practices for AI-driven contract review solutions. Required Skills and Qualifications: * J.D. from an ABA-accredited ...

Collaborate with product and research teams to refine data, guidelines, and best practices for AI-driven contract review solutions. Required Skills and Qualifications: * J.D. from an ABA-accredited ...

Collaborate with product and research teams to refine data, guidelines, and best practices for AI-driven contract review solutions. Required Skills and Qualifications: * J.D. from an ABA-accredited ...

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Data Annotation For Ai information

What is the difference between Data Annotation For Ai vs Data Labeler?

AspectData Annotation For AiData Labeler
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote or on-site, tech companies, AI projectsRemote or on-site, data processing companies
Industry UsageArtificial Intelligence, Machine LearningData management, content moderation
Job FocusPreparing data for AI algorithms through annotationLabeling data for various purposes, including AI

Data Annotation For Ai involves preparing datasets specifically for training AI models, focusing on detailed annotations. Data Labeler is a broader role that includes labeling data for multiple purposes, including AI but also other data management tasks. While both roles require similar skills, Data Annotation For Ai is more specialized towards AI development projects.

What is data annotation for AI?

Data annotation for AI is the process of labeling or tagging data—such as text, images, audio, or video—to make it understandable for machine learning models. Annotators add relevant information to raw data, helping AI systems learn to recognize patterns and make accurate predictions. This step is crucial for training, validating, and testing AI algorithms, especially in tasks like computer vision and natural language processing. High-quality data annotation directly impacts the effectiveness and reliability of AI applications.

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

To thrive as a Data Annotation Specialist for AI, you need a keen eye for detail, a solid understanding of data labeling concepts, and often a background in the relevant domain (such as language, images, or audio). Proficiency with annotation platforms, data management systems, and basic familiarity with tools like Excel or Python can be highly valuable. Strong communication, consistency, and time management skills help ensure accuracy and meet project deadlines. These abilities are crucial because high-quality, well-annotated data is foundational for training reliable and effective AI models.

What are some common challenges faced by data annotators working on AI projects, and how can they be addressed?

Data annotators for AI often encounter challenges such as maintaining consistency across large datasets, understanding ambiguous labeling instructions, and managing repetitive tasks. To address these issues, it's important to actively seek clarification on guidelines, participate in team discussions to align on labeling standards, and use annotation tools that flag inconsistencies. Regular feedback sessions with project leads also help improve accuracy and efficiency, fostering a collaborative and supportive work environment.
What cities in Minnesota are hiring for Data Annotation For Ai jobs? Cities in Minnesota with the most Data Annotation For Ai job openings:
Infographic showing various Data Annotation For Ai job openings in Minnesota as of July 2026, with employment types broken down into 74% Full Time, 23% Part Time, and 3% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution.
Imaging Tech II - Non-Exempt

Imaging Tech II - Non-Exempt

Lancesoft

MN • On-site, Remote

$38 - $43/hr

Temporary

Posted 5 days ago


Job description


This role offers a unique opportunity to work remotely from Virtual, MN, providing flexibility and a chance to collaborate with a dynamic team in the field of cardiac monitoring and analysis.
Must Have:
  • 12 Lead ECG Interpretation
  • Annotation review
  • CCT or CRAT certification through CCI
  • Data Annotation
  • ECG
Nice to Have:
  • IBHRE certification
HM's Top Needs:
  • CCI CRAT or CCT certified
  • 1 year of Pacemaker/ICD experience
  • 1 year of medical device or cardiac experience

The role involves identifying normal and abnormal findings during basic device EGM or ECG reviews and analyzing data from patient devices using knowledge and understanding of diagnostic and therapeutic procedures.
Education Required:
Minimum associate degree required.
Years'Experience Required:
2-5 years related work experience required in cardiac monitoring and analysis.
Work Hours:
Guaranteed 10 hours per week with flexibility based on projects to flex up to 25 hours.
Responsibilities:
  • Review Cardiac Implantable Electronic Device data and provide quality analysis of the data and accurate annotation review.
  • Collaborate with various departments on annotation and understanding annotation review and implementation of annotation labels for AI development purposes.
  • Deliver annotation projects assigned and work with other stakeholders to achieve desired results.
  • Focus primarily on delivering implantable device EGM/ECG annotation review and adhering to policies, using specialized knowledge and skills normally acquired through advanced education.
Nice to Haves:
  • IBHRE/CCI RCES or 2-5 years minimum of EGM annotation experience
  • ECG Annotation experience minimum 2-5 years
Must Haves:
  • 2-5 years minimum experience
  • CCI CRAT/CCT certification
Role Hours and Location:
10-15 minimum hours per week with flexibility in hours allowed after a 4-6 week training period. The role is 100% remote with a hybrid option available if requested.
Specialist Career Stream:
Typically an individual contributor with responsibility in a professional discipline or specialty specifically in the field of annotation.
Differentiating Factors:
  • Autonomy: Entry-level individual contributor on a project or work team. Works with close supervision.
  • Organizational Impact: Delivers work of limited scope, typically smaller, less complex projects or related activities.
  • Innovation and Complexity: Identifies, defines, and addresses problems that are not immediately evident but typically not difficult or complex.
  • Communication and Influence: Communicates primarily with internal contacts within the immediate group. Contacts others to gather, confirm, and convey information.
  • Leadership and Talent Management: Focused on self-development.
  • Required Knowledge and Experience: Requires broad theoretical job knowledge typically obtained through advanced education.

Meet Your Recruiter
Manikandan H

LanceSoft logo

About LanceSoft

Sourced by ZipRecruiter

Established in 2000, LanceSoft is a Certified MBE and Woman-Owned organization. Lancesoft Inc. is one of the highest rated companies in the industry. We have been recognized as one of the Largest Staffing firms and ranked in the top 50 fastest Growing Healthcare Staffing firms in 2022. Lancesoft offers short- and long-term contracts, permanent placements, and travel opportunities to credentialed and experienced professionals throughout the United States. We pride ourselves on having industry leading benefits. We understand the importance of partnering with an expert who values your needs, which is why we're 100% committed to finding you an assignment that best matches your career and lifestyle goals. Our team of experienced career specialists takes the time to understand your needs and match you with the right job Lancesoft has been chosen by Staffing Industry Analysts as one of the Best Staffing Firms to Work for.LanceSoft specializes in providing Registered Nurses, Nurse Practitioners, LPNs/LVNs, Social Workers, Medical Assistants, and Certified Nursing Assistants to work in Acute Care Centers, Skilled Nursing Facilities, Long-Term Care centers, Rehab Facilities, Behavioral Health Centers, Drug & Alcohol Facilities, Home Health & Community Health, Urgent Care Clinics, and many other provider-based facilities.

Industry

Recruiting and staffing services

Company size

1,001 - 5,000 Employees

Headquarters location

Herndon, VA, US

Year founded

2000

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