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Data Annotation For Ai Jobs in Barron, WI (NOW HIRING)

Associate Professor

Downing, WI · On-site

$100K - $115K/yr

A record of (or potential for) impactful research, evidenced by publications, grants, or industry partnerships. * Experience or interest in applying AI to EMR data or healthcare challenges. * A ...

Research Assistant

Downing, WI · On-site

$21 - $31/hr

Hiring staff "for fit" makes significant contributions to Howard University's overall mission. At ... AI research initiatives from conception to implementation. Analyze research data critically ...

Post Doctoral Researcher

Downing, WI · On-site

$60K - $70K/yr

Hiring staff "for fit" makes significant contributions to Howard University's overall mission. At ... Familiarity with interdisciplinary methods involving data science, AI/ML applications, and ...

Data Annotation For Ai information

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 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 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 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 cities near Barron, WI are hiring for Data Annotation For Ai jobs?

Cities near Barron, WI with the most Data Annotation For Ai job openings:

Infographic showing various Data Annotation For Ai job openings in Barron, WI as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 15% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution.

Associate Professor

Howard

Downing, WI • On-site

$100K - $115K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 23 days ago


Key responsibilities

  • Conduct interdisciplinary research in AI focused on health applications.

  • Develop and teach undergraduate and graduate courses related to AI, machine learning, data science, or health informatics.

  • Collaborate across disciplines to analyze and model healthcare data, including electronic medical records (EMRs).


Job description

The Talent Acquisition department hires qualified candidates to fill positions which contribute to the overall strategic success of Howard University. Hiring staff "for fit" makes significant contributions to Howard University's overall mission.

At Howard University, we prioritize well-being and professional growth.

Here is what we offer:

  • Health & Wellness: Comprehensive medical, dental, and vision insurance, plus mental health support
  • Work-Life Balance: PTO, paid holidays, flexible work arrangements
  • Financial Wellness: Competitive salary, 403(b) with company match
  • Professional Development: Ongoing training, tuition reimbursement, and career advancement paths
  • Additional Perks: Wellness programs, commuter benefits, and a vibrant company culture

Join Howard University and thrive with us!

https://hr.howard.edu/benefits-wellness

The Department of Electrical Engineering and Computer Science - AI Cluster Hire Initiative

The Department of Electrical Engineering and Computer Science in the College of Engineering

and Architecture at Howard University invites applications for a full-time, tenure-track position

for a broadly trained computer scientist with research expertise and teaching interests in

advancing artificial intelligence to address healthcare challenges with a focus on multimodal

foundation models to clinical decision support systems. With an anticipated start date of August

2026, this position is part of the Office of the Provost Artificial Intelligence (AI) Cluster Hire

Initiative, which aims to expand AI interdisciplinary research and instruction across the

University

This position is part of the cluster, "Development and Application of Multimodal Foundation

Models to Clinical Decision Support Systems," which is jointly led by the College of

Engineering and Architecture and the College of Medicine. The goal is to bring together and

invest in faculty across departments whose research and scholarship are linked through this

cluster and to attract faculty members who can bring different perspectives.

This cluster aims to recruit scholars with expertise in the development of AI models and

multimodal models, as well as their application to electronic medical records (EMR). These

efforts will contribute to generating predictive insights about patients' health and well-being,

addressing critical challenges in healthcare delivery, and improving health outcomes.

Key Responsibilities:

  • Conduct cutting-edge, interdisciplinary research in AI with a focus on health applications.
  • Develop and teach undergraduate and graduate courses in AI, machine learning, data science, or health informatics.
  • Collaborate across disciplines to apply AI methodologies to analyze and model complex healthcare data, including EMRs.
  • Pursue external funding to support research and training initiatives.
  • Mentor students from diverse backgrounds, fostering an inclusive and equitable academic environment.

Qualifications

  • A Ph.D. or equivalent terminal degree in a relevant field, such as computer science or data science.
  • Demonstrated ability or potential to secure external funding for research.
  • Experience or potential for excellence in teaching at the undergraduate and graduate levels.
  • Proven ability to work collaboratively in interdisciplinary research environments.
  • Demonstrated expertise in AI, machine learning, or multimodal modeling.
  • A record of (or potential for) impactful research, evidenced by publications, grants, or industry partnerships.
  • Experience or interest in applying AI to EMR data or healthcare challenges.
  • A commitment to interdisciplinary collaboration and promoting student access to and engagement in their teaching and research/scholarship/creative activities.

Salary Range: $100,000 - $115,000

About Howard University

Howard University is a premier Historically Black College and University (HBCU) committed to

excellence in teaching, research, and service, offering a vibrant academic community engaged in

interdisciplinary innovation, social impact, and collaborations across campus, including with

Howard University Hospital. The Computer Science Program, housed in the Department of

Electrical Engineering and Computer Science within the College of Engineering and

Architecture (CEA), benefits from CEA's fully accredited engineering, architecture, and

computing programs and its strong federal, industry, and research partnerships in Washington,

D.C. The program supports robust undergraduate and graduate offerings and advances research

in areas such as artificial intelligence, cybersecurity, data science, software engineering, and

emerging AI-and-health applications.

Howard University is committed to providing equal opportunity in employment as well as in its educational programs and activities. The University prohibits discrimination or harassment based on race, color, national and ethnic origin, sex, marital status, religion, disability, veteran status, sexual orientation, political affiliation, gender identity, or any other classification, activities, or conditions protected by applicable law. For more information on Howard University, call 202-238- 2330, or visit the University's Web site at www.howard.edu.

EEO: The University does not discriminate based on race, color, national and ethnic origin, sex, marital status, religion, or disability. Veteran status and people with disabilities are encouraged to apply. Inquiries regarding provisions for persons with disabilities, equal opportunity, and Title IX would be directed to the Office of the Vice President for Human Resources.

Compliance Salary Range Disclosure