... annotation. Optimize workflows and ensure quality and compliance with institutional, state, and ... Familiarity with research compliance (IRB/IBC/IACUC), data privacy, and biosafety requirements.
... annotation. Optimize workflows and ensure quality and compliance with institutional, state, and ... Familiarity with research compliance (IRB/IBC/IACUC), data privacy, and biosafety requirements.
Data Annotation Research information
What are some common challenges faced in data annotation research roles, and how can they be addressed?
Professionals in Data Annotation Research often encounter challenges such as maintaining consistency in labeling, dealing with ambiguous data, and managing large datasets efficiently. These issues can be addressed by following detailed annotation guidelines, participating in regular calibration sessions with the team, and utilizing annotation tools that support quality control checks. Collaboration with data scientists and project managers is essential to clarify ambiguities and ensure that annotated data meets the project's requirements. Staying proactive in communication and continuous learning helps to minimize errors and improve overall data quality.
What is the difference between Data Annotation Research vs Data Labeling Specialist?
| Aspect | Data Annotation Research | Data Labeling Specialist |
|---|---|---|
| Credentials | Typically requires a background in data science, research methods, or related fields | Often requires basic technical skills and experience with labeling tools |
| Work Environment | Research labs, tech companies, or remote research teams | Data centers, tech companies, or remote labeling teams |
| Industry Usage | Used in AI/ML research, developing annotation methodologies | Used in preparing datasets for machine learning models |
| Search & Comparison Intent | Understanding research-focused roles in data annotation | Looking for practical data labeling jobs |
Data Annotation Research involves exploring new annotation techniques and improving data quality for AI models, often requiring research skills. In contrast, Data Labeling Specialists focus on applying existing labeling tools to annotate datasets efficiently. Both roles are essential in AI development but differ in scope and expertise.
What is data annotation research?
Data annotation research involves studying and developing methods for labeling data, such as images, text, or audio, to be used in training machine learning models. Researchers in this field focus on improving annotation accuracy, efficiency, and scalability, as well as addressing challenges like bias and consistency. This work is critical because high-quality annotated data is essential for building effective AI systems. Data annotation research often includes exploring new tools, techniques, and guidelines for human annotators or automated labeling systems.
What are the key skills and qualifications needed to thrive as a data annotation researcher, and why are they important?
To thrive as a Data Annotation Researcher, you need strong attention to detail, analytical thinking, and familiarity with data labeling concepts, often supported by a degree in computer science, linguistics, or a related field. Experience with annotation platforms, data management tools, and sometimes knowledge of programming languages like Python are typically required. Excellent communication, problem-solving abilities, and the capacity to work independently set standout contributors apart. These skills ensure high-quality, accurate data labeling, which is crucial for developing reliable AI and machine learning models.
What are popular job titles related to Data Annotation Research jobs in Arkansas?
For Data Annotation Research jobs in Arkansas, the most frequently searched job titles are:
What job categories do people searching Data Annotation Research jobs in Arkansas look for?
The top searched job categories for Data Annotation Research jobs in Arkansas are:
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Cities in Arkansas with the most Data Annotation Research job openings:
Job description
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Immuno-Oncology Network (ION)
- Manage daily ION operations in accordance with NCI/NCTN best practices, including SOP development, biospecimen procurement, banking, characterization, and clinical annotation. Optimize workflows and ensure quality and compliance with institutional, state, and federal regulations (IRB, IBC, HIPAA, biosafety).
- Coordinate ION activities with the OSUCCC Clinical Trials Office, Biospecimen Shared Resource (TCC), and Clinical Trial Processing Laboratory (CTPL) to ensure seamless sample processing and data integration.
- Maintain and improve the ION sample inventory database and biorepository systems, ensuring accurate "cradle-to-grave" tracking, chain-of-custody, and environmental monitoring.
- Assist the IMDP Director with budgeting, financial tracking, annual reports, and grant proposal preparation.
- Serve as liaison to internal and external investigators, ensuring effective communication, timely response to specimen requests, and adherence to established policies and MTAs.
PIIO Research Space Management -
- Support onboarding of new PIIO faculty, staff, and trainees; manage guest accounts, lab relocations, and introductions to OSU compliance programs (IBC, IACUC, EHS).
- Oversee shared equipment operations, including installation, warranty tracking, preventive maintenance, and service contract management.
- Assist with grant and meeting preparation, including facility documentation, agendas, and materials for donor and partner visits.
- Contribute to operational planning and implementation to support PIIO research space efficiency, safety, and collaboration.
Career Roadmap Framework:
Function: Research and Scholarship
Subfunction: Research
Band: Individual Contributor - Specialized
Level: S2 Experienced
Minimum Qualifications
Master's Degree or equivalent experience required; 3 years of relevant experience required with a Bachelor's Degree, or 1 year of relevant experience required with a Master's Degree.
Required Qualifications
- Experience applying biological/health science knowledge in a research or clinical research setting.
- Demonstrated experience with biospecimen handling, chain-of-custody, and biobanking best practices.
- Familiarity with research compliance (IRB/IBC/IACUC), data privacy, and biosafety requirements.
- Strong organizational, interpersonal, and written communication skills; ability to manage multiple priorities and deadlines.
- Proficiency with inventory or data systems (e.g., LIMS, REDCap, OnCore, or similar) and standard office software.
- Familiarity with electronic medical record system such as Epic and related system"
Desired/Preferred Qualifications
- 3+ years of experience in academic or clinical research operations, biobanking, or shared-resource/core facilities.
- Supervisory experience (technicians or student staff) and basic HR process familiarity within a large institution.
- Experience coordinating with clinical trials units, biospecimen cores, or processing laboratories.
- Experience with quality systems (SOPs, CAP/CLIA exposure, audit readiness) and continuous process improvement.
- Working knowledge of material transfer agreements and data/specimen governance policies.
About Us
The OSUCCC - James is the only cancer program in the U.S. that integrates a National Cancer Institute (NCI)-designated comprehensive cancer center, a nationally ranked academic medical center, and a freestanding cancer hospital on the campus of one of the nation's largest public universities.
The Pelotonia Institute for Immuno-Oncology (PIIO) is a comprehensive bench-to-bedside research initiative dedicated to harnessing the immune system to prevent, treat, and ultimately cure cancer.
Location:Pelotonia Research Center (1040)Position Type:RegularScheduled Hours:40Shift:First ShiftFinal candidates are subject to successful completion of a background check. A drug screen or physical may be required during the post offer process.
Thank you for your interest in positions at The Ohio State University and Wexner Medical Center. Once you have applied, the most updated information on the status of your application can be found by visiting the Candidate Home section of this site. Please view your submitted applications by logging in and reviewing your status. For answers to additional questions please review the frequently asked questions.
The university is an equal opportunity employer, including veterans and disability.
About Ohio State University Research Foundation
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Industry
Scientific research and development services
Company size
51 - 200 Employees
Headquarters location
Columbus, OH, US