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Remote Face Recognition Jobs in Wisconsin (NOW HIRING)

Comfortable with face-to-face selling​ * Resilient, self-motivated, and goal-oriented​ ... You can work fully remote in this position, provided you have eligible working rights, and are able ...

Comfortable with face-to-face selling​ * Resilient, self-motivated, and goal-oriented​ ... You can work fully remote in this position, provided you have eligible working rights, and are able ...

Account Executive

Milwaukee, WI · On-site +1

$100K/yr

Comfortable with face-to-face selling * Resilient, self-motivated, and goal-oriented * Experienced ... You can work fully remote in this position, provided you have eligible working rights, and are able ...

Account Executive

Green Bay, WI · On-site +1

$100K/yr

Comfortable with face-to-face selling * Resilient, self-motivated, and goal-oriented * Experienced ... You can work fully remote in this position, provided you have eligible working rights, and are able ...

Remote Face Recognition information

What is a remote face recognition?

A Remote Face Recognition job typically involves working with technology that can identify or verify individuals based on their facial features, all while working from a remote location. Professionals in this field may develop, test, or manage face recognition software, analyze image data, or ensure the security and accuracy of facial identification systems. Common employers include tech companies, security firms, and organizations that require biometric authentication. This role often requires knowledge of machine learning, computer vision, and data privacy standards. Working remotely allows for flexibility but also requires strong communication and self-management skills.

What are the key skills and qualifications needed to thrive as a remote face recognition specialist?

To thrive as a Remote Face Recognition Specialist, you need a strong background in computer vision, machine learning, and programming (often with a degree in computer science or a related field). Experience with tools like OpenCV, TensorFlow, Python, and familiarity with facial recognition algorithms and privacy regulations is typically required. Attention to detail, analytical thinking, and problem-solving skills are crucial soft skills for this role. These competencies ensure accurate system development, ethical use, and effective troubleshooting in remote, technology-driven environments.

What are some common challenges faced by professionals working in remote face recognition roles, and how can they be addressed?

Professionals in remote face recognition roles often encounter challenges such as ensuring data privacy, maintaining high accuracy across diverse image sources, and adapting to rapidly evolving technologies. Working remotely can also make real-time collaboration with team members more complex, especially when troubleshooting or fine-tuning algorithms. To address these challenges, it's important to establish clear communication channels, use robust data security protocols, and stay updated on the latest advancements in machine learning and computer vision. Regular virtual meetings and code reviews can help maintain teamwork and project alignment.

What is the difference between Remote Face Recognition vs Remote Facial Analyst?

AspectRemote Face RecognitionRemote Facial Analyst
Required CredentialsTypically requires computer vision, AI, or biometric certificationsOften requires forensic analysis, biometric, or law enforcement credentials
Work EnvironmentPrimarily software-based, working with AI systems and databasesMore investigative, analyzing facial images and videos
Employer & Industry UsageTech companies, security firms, government agenciesLaw enforcement, security agencies, forensic labs
Search & Comparison IntentUnderstanding AI-based facial recognition technologyDistinguishing investigative facial analysis from automated recognition

Remote Face Recognition involves AI-driven identification using biometric data, often in tech or security sectors. Remote Facial Analyst focuses on manual or forensic analysis of facial images, typically in law enforcement. While both roles deal with facial data, Remote Face Recognition emphasizes automated systems, whereas Remote Facial Analyst involves investigative analysis.

What are the most commonly searched types of Face Recognition jobs in Wisconsin?

The most popular types of Face Recognition jobs in Wisconsin are:

What cities in Wisconsin are hiring for Remote Face Recognition jobs?

Cities in Wisconsin with the most Remote Face Recognition job openings:

Electronic Resources Cataloging Specialist

Wisconsin

Madison, WI • On-site, Remote

$39K - $45K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 12 days ago


Job description

Current Employees: If you are currently employed at any of the Universities of Wisconsin, log in to Workday to apply through the internal application process.Job Category:University StaffEmployment Type:RegularJob Profile:Library Assistant IIIJob Summary:

The University of Wisconsin-Madison Libraries seek a creative and energetic Electronic Resources Cataloging Specialist to join the Electronic Resources Cataloging Team with in the Cataloging Department. The Cataloging Department is responsible for providing access to the UW-Madison Libraries' rich collection in all formats. This position focuses on the electronic resources the library and/or the Universities of Wisconsin purchase or subscribe to.

This position provides resource description services and collaborates with colleagues across departments to resolve cataloging issues for electronic resources. They will contribute to the development and implementation of relevant policies, procedures, and workflows to support the department to perform its functions effectively and efficiently. A successful candidate will collaborate with colleagues through committee services and taskforces, as well as professional development activities.

This position is eligible for partial remote work after initial training is complete. A remote work agreement may allow for a maximum of 40% remote per week.

This position is full-time, 100%.

Ongoing/Renewable

Key Job Responsibilities:
  • Actively participate in an inclusive, welcoming, and respectful workplace (5%)
  • Provides complex library services support in absence of a supervisory authority. Acts as a resource to other library staff (0%)
  • Interprets policies and procedures to answer non-routine questions and resolve complex issues (0%)
  • Hires, trains, and guides student employees and monitors student workflows (0%)
  • May create invoices, process complex orders, and resolve any purchasing discrepancies (0%)
  • Provides complex support to the day-to-day operations of library services to provide guidance in the use of library information resources, operations, and policies; or to acquire, prepare, and preserve library information resources for use (20%)
  • Conducts reference searches to locate relevant materials and answer questions as needed (0%)
  • Contributes to the development of policies and procedures (5%)
  • Utilizes designated library systems, tools, standards, and practices to locate, retrieve, and organize; or describe, edit, preserve, and reformat a variety of library information resources (60%)
  • Participates in committee work within the library and the university (5%)
  • Utilizes library software and systems to retrieve, enter, and report on data using a wide variety of applications (5%)
  • May assist and educate both face-to-face and remote customers in the use of technologies and tools to create, seek, use, and manage information (0%)
Department:

Libraries, Cataloging

Compensation:

Starting salary will be based on experience and qualifications. Well-qualified applicants can anticipate earning between $39,335 - $45,000 with final salary based on experience and qualifications.

This position offers a comprehensive benefits package, including generous paid time off, competitively priced health/dental/vision/life insurance, tax-advantaged savings accounts, and participation in the nationally recognized Wisconsin Retirement System (WRS) pension fund. For a summary of benefits, please seehttps://www.wisconsin.edu/ohrwd/benefits/download/univstaff.pdf.

Employees in this position can expect to receive benefits such as generous vacation, holidays, and sick leave; competitive insurances and savings accounts; retirement benefits. Benefits information can be found at https://hr.wisc.edu/benefits/.

Required Qualifications:
  • Excellent communication skills with the ability to collaborate effectively with colleagues and other stakeholders
  • Demonstrated strong problem-solving skills
  • Demonstrated ability to independently prioritize workload, manage multiple projects and deadlines effectively, and follow-through on tasks
Preferred Qualifications:
  • Working knowledge and experience of cataloging and metadata rules, standards, and tools such as theMachine Readable Cataloging (MARC) standard, and Resource Description and Access (RDA) standard
  • Working proficiency with Microsoft Excel and/or OpenRefine. Experience with large data sets and working in batches.
  • Familiarity with Online Computer Library Center (OCLC) products (Connexion, WorldShare, etc.).
  • Experience with an integrated library system (ex: Alma from Ex Libris)
  • Ability to analyze problems and suggest solutions
Education:

High school degree required

How to Apply:

Click the "Apply" button to start the application process. You will be prompted to upload the following documents:

  • Resume
  • Cover Letter

Applicants should attach a cover letter and resume detailing their training and experience relating to the required and preferred qualifications referenced above. The application reviewers will be relying on written application materials to determine which qualified applicants will advance in the recruitment process.

References will be requested from finalists only and are not required with the initial application. Reference requests will be sent via email from SkillSurvey.

Failure to submit the required documents will result in no longer being considered for the position.

Please note that successful applicants are responsible for ensuring their eligibility to work in the United States (i.e. a citizen or national of the United States, a lawful permanent resident, a foreign national authorized to work in the United States without need of employer sponsorship) on or before the effective date of appointment.

Contact Information:

Caitlin Milnthorpe, caitlin.milnthorpe@wisc.edu, 608-263-4962

Relay Access (WTRS): 7-1-1. SeeRELAY_SERVICEfor further information.

Institutional Statement on Diversity:

Diversity is a source of strength, creativity, and innovation for UW-Madison. We value the contributions of each person and respect the profound ways their identity, culture, background, experience, status, abilities, and opinion enrich the university community. We commit ourselves to the pursuit of excellence in teaching, research, outreach, and diversity as inextricably linked goals.
The University of Wisconsin-Madison fulfills its public mission by creating a welcoming and inclusive community for people from every background - people who as students, faculty, and staff serve Wisconsin and the world.


The University of Wisconsin-Madison is an Equal OpportunityEmployer.

Qualified applicants will receive consideration for employment without regard to, including but not limited to, race, color, religion, sex, sexual orientation, national origin, age, pregnancy, disability, or status as a protected veteran and other bases as defined by federal regulations and UW System policies. We promote excellence by acknowledging skills and expertise from all backgroundsand encourage all qualified individuals to apply. For more information regarding applicant and employee rights and to view federal and state required postings, visit the Human Resources Workplace Poster website.


To request a disability or pregnancy-related accommodationfor any step in the hiring process (e.g., application, interview, pre-employment testing, etc.), please contact the Divisional Disability Representative (DDR)in the division you are applying to.Please make your request as soon as possible to help the university respond most effectively to you.


Employment may require a criminal background check. It may also require your references to answer questions regarding misconduct, including sexual violence and sexual harassment.
The University of Wisconsin System will not reveal the identities of applicants who request confidentiality in writing, except that the identity of the successful candidate will be released. See Wis. Stat. sec. 19.36(7).
The Annual Security and Fire Safety Report contains current campus safety and disciplinary policies, crime statistics for the previous 3 calendar years, and on-campus student housing fire safety policies and fire statistics for the previous 3 calendar years. UW-Madison will provide a paper copy upon request; please contact the University of Wisconsin Police Department.