The incumbent will gain experience managing existing, as well as starting new, ontologies and using them in various annotation and data management applications. A key project is the Advancing ...
The incumbent will gain experience managing existing, as well as starting new, ontologies and using them in various annotation and data management applications. A key project is the Advancing ...
The incumbent will gain experience managing existing, as well as starting new, ontologies and using them in various annotation and data management applications. A key project is the Advancing ...
The incumbent will gain experience managing existing, as well as starting new, ontologies and using them in various annotation and data management applications. A key project is the Advancing ...
Research Scientist I
Milwaukee, WI · On-site
APRICOT project deliverables, including but not limited to developing interoperability between OMRSE and the BCIO and the annotation of Social Determinants of Health instruments and data.
Research Scientist I
Milwaukee, WI · On-site
APRICOT project deliverables, including but not limited to developing interoperability between OMRSE and the BCIO and the annotation of Social Determinants of Health instruments and data.
Research Scientist I
Milwaukee, WI · On-site
APRICOT project deliverables, including but not limited to developing interoperability between OMRSE and the BCIO and the annotation of Social Determinants of Health instruments and data.
Research Scientist I
Milwaukee, WI · On-site
APRICOT project deliverables, including but not limited to developing interoperability between OMRSE and the BCIO and the annotation of Social Determinants of Health instruments and data.
Data Annotation information
What does a typical workday look like for someone in a Data Annotation role?
A typical workday as a Data Annotator involves reviewing datasets—such as images, audio, text, or video—and accurately labeling or categorizing information according to specific project guidelines. Most Data Annotators work independently, but they often collaborate with project managers or data scientists to clarify requirements and resolve ambiguities. Tasks may be repetitive, but adhering to precise standards is vital for maintaining data quality. Work environments can range from technology companies to remote or freelance settings, and advancement opportunities exist as team leads or quality assurance specialists for those who excel in consistency and reliability.
Is data annotation a genuine job?
Data annotation is a legitimate job that involves labeling data such as images, text, or audio to help train machine learning models. It often requires attention to detail and familiarity with annotation tools, and can be found in various industries like technology and healthcare.
Does data annotation pay well?
Data annotation jobs typically offer entry-level pay that varies depending on the employer, location, and complexity of the tasks. While some positions pay hourly wages comparable to other administrative or clerical roles, experienced annotators working on specialized projects or with advanced tools can earn higher rates. Overall, data annotation is often considered an entry-level position with moderate pay potential.
What is a Data Annotation job?
A Data Annotation job involves labeling and categorizing data, such as text, images, audio, or video, to help train machine learning models. Annotators apply tags, bounding boxes, or classifications to data based on specific guidelines. This process improves the accuracy of AI systems in recognizing patterns and making predictions. Many data annotation jobs require attention to detail and familiarity with specific domains. It is commonly used in applications like autonomous driving, natural language processing, and computer vision.
How hard is it to get hired by data annotation?
Getting hired for a data annotation role generally requires basic computer skills, attention to detail, and sometimes familiarity with specific tools or platforms. Many positions are entry-level and do not require advanced education, making the hiring process relatively accessible, though competition can vary based on the employer and location.
What are the key skills and qualifications needed to thrive in the Data Annotation position, and why are they important?
To thrive in Data Annotation, you need strong attention to detail, accuracy, and basic data handling skills, often supported by a high school diploma or equivalent. Familiarity with annotation platforms, data labeling software, or content management systems is frequently required, though specific certifications are rare. Excellent communication, time management, and the ability to focus on repetitive tasks distinguish top performers in this role. These skills are crucial because accurate and consistent data annotation directly impacts the quality of machine learning models and AI applications.
What does a data annotator do?
A data annotator labels and tags data such as images, text, or videos to help machine learning models understand and learn from the data. They use tools and follow guidelines to ensure accuracy and consistency, often working with large datasets in a structured environment. Attention to detail and knowledge of annotation tools are important for this role.
What cities near Jackson, WI are hiring for Data Annotation jobs? Cities near Jackson, WI with the most Data Annotation job openings:
Full-time
Medical, Dental, Vision, Retirement, PTO
Re-posted 22 days ago
Medical College Of Wisconsin rating
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Job description
Summary
According to the National Institute of Health (NIH) and the National Science Foundation (NSF), a postdoc is an individual who has received a doctoral degree (or equivalent) and is engaged in a temporary and defined period of mentored advanced research training to enhance the professional skills and research independence needed to pursue his or her chosen career path. In addition, according to the National Postdoc Association (NPA), Postdoctoral appointees can pursue basic, clinical or translational projects so long as their primary effort is devoted toward their own scholarship. Postdocs are essential to the scholarly mission of the mentor and host institution, and thus are expected to have the freedom to publish the results of their scholarship.
The Hogan Lab in the Data Science Institute is seeking a post-doctoral researcher for work in ontology, semantic web, and referent tracking. The incumbent will gain experience managing existing, as well as starting new, ontologies and using them in various annotation and data management applications.
A key project is the Advancing Prevention Research in Cancer through Ontology Tools (APRICOT) Project funded by the US National Institutes of Health, working with behavioral scientists and ontologists across three other European sites. This project is developing ontologies and associated tools and resources to be used in reporting behavior research. This position will work on the development of the Ontology for Modeling and Representation of Social Entities (OMRSE) and its interoperability with the Behaviour Change Intervention Ontology (BCIO).
Primary Responsibilities
General responsibilities:
Knowledge - Skills - Abilities
Qualifications
Minimum Required Education: PhD in a scientific field or MD
Minimum Required Experience: 0 years
Preferred Education: PhD in Biomedical Informatics or related field
Preferred Experience: Ontology, semantic web, referent tracking
Physical Requirements
Work requires occasionally lifting moderate weight materials, standing, or walking continuously.
Work Environment
Occasional exposure to dust, noise, temperature changes, or contact with water or other liquids. Work is performed in an environmentally controlled environment.
Sensory Acuity
Ability to detect and translate speech or other communication required. May occasionally require the ability to distinguish colors and perceive relative distances between objects.
Why MCW?
For a brief overview of our benefits see: Benefits Overview
For a full list of positions see: MCW Careers
At MCW all of our endeavors, from our internal operations to our interactions with our partners, are driven by our shared organizational values: Caring - Collaborative - Curiosity - Inclusive - Integrity - Respect. We are committed to fostering an inclusive environment that values diversity in backgrounds, experiences, and perspectives through merit-based processes and in alignment with all applicable laws. We believe that embracing human differences is critical to realize our vision of a healthier world, and we recognize that a healthy and thriving community starts from within. Our values define who we are, what we stand for and how we conduct ourselves at MCW. If you believe in embracing individuality and working together according to these principles to improve health for all, then MCW is the place for you. For more information, please visit our institutional website.
MCW as an Equal Opportunity Employer and Commitment to Non-Discrimination:
The Medical College of Wisconsin (MCW) is an Equal Opportunity Employer. We are committed to fostering an inclusive community of outstanding faculty, staff, and students, as well as ensuring equal educational opportunity, employment, and access to services, programs, and activities, without regard to an individual's race, color, national origin, religion, age, disability, sex, gender identity/expression, sexual orientation, marital status, pregnancy, predisposing genetic characteristic, or military status. Employees, students, applicants or other members of the MCW community (including but not limited to vendors, visitors, and guests) may not be subjected to harassment that is prohibited by law or treated adversely or retaliated against based upon a protected characteristic.
According to the National Institute of Health (NIH) and the National Science Foundation (NSF), a postdoc is an individual who has received a doctoral degree (or equivalent) and is engaged in a temporary and defined period of mentored advanced research training to enhance the professional skills and research independence needed to pursue his or her chosen career path. In addition, according to the National Postdoc Association (NPA), Postdoctoral appointees can pursue basic, clinical or translational projects so long as their primary effort is devoted toward their own scholarship. Postdocs are essential to the scholarly mission of the mentor and host institution, and thus are expected to have the freedom to publish the results of their scholarship.
The Hogan Lab in the Data Science Institute is seeking a post-doctoral researcher for work in ontology, semantic web, and referent tracking. The incumbent will gain experience managing existing, as well as starting new, ontologies and using them in various annotation and data management applications.
A key project is the Advancing Prevention Research in Cancer through Ontology Tools (APRICOT) Project funded by the US National Institutes of Health, working with behavioral scientists and ontologists across three other European sites. This project is developing ontologies and associated tools and resources to be used in reporting behavior research. This position will work on the development of the Ontology for Modeling and Representation of Social Entities (OMRSE) and its interoperability with the Behaviour Change Intervention Ontology (BCIO).
Primary Responsibilities
- Contribute to the development of the Ontology for Modeling and Representation of Social Entities (OMRSE); manage the issue tracker; create periodic releases; lead development meetings.
- APRICOT project deliverables, including but not limited to developing interoperability between OMRSE and the BCIO and the annotation of Social Determinants of Health instruments and data.
- Participate in APRICOT meetings, events.
- Contribute to the development of the Rehabilitation Ontology (REHABO); manage the issue tracker; create periodic releases; lead development meetings.
- Contribute to the development of the Drug Ontology (DrOn); manage the issue tracker; create periodic releases; lead development meetings
General responsibilities:
- Plan, design and execute complex research studies, procedures and protocols.
- Participate in discovery projects.
- Coordinate research study activities; lead and manage projects.
- Oversee organization, synthesis and analysis of data and findings.
- Prepare scientific reports, outcome findings and scientific manuscripts.
- Participate in meetings with principal investigator and research staff in which you will evaluate/interpret the validity of data, develop methodologies, and design and evaluate lab procedures.
- Maintain supplies, may require negotiation with vendors, and track purchase orders.
- May oversee the work of laboratory personnel including training and development as well as daily work direction, delegation and establishing priorities.
- Other duties as assigned.
Knowledge - Skills - Abilities
- Required knowledge: ontology, terminology, controlled vocabularies, data models
- Technical knowledge: Web Ontology Language, Protégé, GitHub
- Strong interest in multi-disciplinary collaboration
- Writing skills
- Skills and abilities: presentation skills, organization, time management, multi-tasking.
- Documentation and records management
- Data utilization
- Complex problem solving and critical thinking
- Resource management
Qualifications
Minimum Required Education: PhD in a scientific field or MD
Minimum Required Experience: 0 years
Preferred Education: PhD in Biomedical Informatics or related field
Preferred Experience: Ontology, semantic web, referent tracking
Physical Requirements
Work requires occasionally lifting moderate weight materials, standing, or walking continuously.
Work Environment
Occasional exposure to dust, noise, temperature changes, or contact with water or other liquids. Work is performed in an environmentally controlled environment.
Sensory Acuity
Ability to detect and translate speech or other communication required. May occasionally require the ability to distinguish colors and perceive relative distances between objects.
Why MCW?
- Outstanding Healthcare Coverage, including but not limited to Health, Vision, and Dental. Along with Flexible Spending options
- 403B Retirement Package
- Competitive Vacation and Paid Holidays offered
- Tuition Reimbursement
- Paid Parental Leave
- Employee & Family Assistance Program (EFAP)
- Pet Insurance
- On campus Fitness Facility, offering onsite classes
- Additional discounted rates on items such as: Select cell phone plans, local fitness facilities, Milwaukee recreation and entertainment etc.
For a brief overview of our benefits see: Benefits Overview
For a full list of positions see: MCW Careers
At MCW all of our endeavors, from our internal operations to our interactions with our partners, are driven by our shared organizational values: Caring - Collaborative - Curiosity - Inclusive - Integrity - Respect. We are committed to fostering an inclusive environment that values diversity in backgrounds, experiences, and perspectives through merit-based processes and in alignment with all applicable laws. We believe that embracing human differences is critical to realize our vision of a healthier world, and we recognize that a healthy and thriving community starts from within. Our values define who we are, what we stand for and how we conduct ourselves at MCW. If you believe in embracing individuality and working together according to these principles to improve health for all, then MCW is the place for you. For more information, please visit our institutional website.
MCW as an Equal Opportunity Employer and Commitment to Non-Discrimination:
The Medical College of Wisconsin (MCW) is an Equal Opportunity Employer. We are committed to fostering an inclusive community of outstanding faculty, staff, and students, as well as ensuring equal educational opportunity, employment, and access to services, programs, and activities, without regard to an individual's race, color, national origin, religion, age, disability, sex, gender identity/expression, sexual orientation, marital status, pregnancy, predisposing genetic characteristic, or military status. Employees, students, applicants or other members of the MCW community (including but not limited to vendors, visitors, and guests) may not be subjected to harassment that is prohibited by law or treated adversely or retaliated against based upon a protected characteristic.
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About Medical College of Wisconsin
Sourced by ZipRecruiter
The Medical College of Wisconsin (MCW) is an industry-leading educational institution located in Milwaukee, WI, US. Being part of the medical and health services sector, MCW's primary mission is to educate and train the next generation of healthcare professionals. MCW offers a wide array of degrees and programs within medical and health sciences, covering everything from medical, graduate, pharmacy and health sciences studies, to continuing professional developments and community engagement initiatives. Founded in 1893, MCW boasts a rich, well-entrenched history in shaping the medical education landscape locally and globally. The institution's core values of knowledge-changing life underline its dedication to incorporating innovative approaches in education and research, commitment to diversity and inclusion, service to the community, integrity, stewardship, and collaboration.
Industry
Health care and social assistance
Company size
5,001 - 10,000 Employees
Headquarters location
Milwaukee, WI, US
Year founded
1893