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$104K

$134.3K

$190K

How much do facial recognition jobs pay per year?

As of Jun 13, 2026, the average yearly pay for facial recognition in the United States is $134,333.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,000.00 and $190,000.00 per year, depending on experience, location, and employer.

What are some typical challenges faced while working as a Facial Recognition Specialist?

Facial Recognition Specialists often encounter challenges such as ensuring high accuracy rates across diverse populations, minimizing false positives and negatives, and keeping up with rapidly evolving technologies. They must also address privacy and ethical considerations while complying with regulatory standards. Collaborating with cross-functional teams—including data scientists, software engineers, and security experts—is essential for successfully designing and deploying effective solutions. Navigating these challenges requires both technical expertise and strong communication skills. By overcoming these obstacles, specialists play a crucial role in advancing secure and reliable facial recognition systems.

Can you get a job as a super recogniser?

Super recognisers are individuals with exceptional facial recognition abilities, often identified through specialized testing. While there are no specific job titles for super recognisers, they are sought after in security, law enforcement, and intelligence roles that require high-level face matching skills. Developing expertise in facial recognition technology and passing relevant assessments can improve chances of employment in these fields.

Do super-recognizers have high IQ?

Super-recognizers are individuals with exceptional facial recognition abilities, but high IQ is not necessarily associated with their skills. Their abilities are often linked to specific neural mechanisms rather than general intelligence, and IQ tests do not reliably predict facial recognition performance.

What are the key skills and qualifications needed to thrive in the Facial Recognition position, and why are they important?

To excel in a Facial Recognition Specialist role, you typically need a background in computer science, machine learning, or a related field, with experience in pattern recognition and image processing. Familiarity with programming languages such as Python or C++, and tools like OpenCV or TensorFlow, along with relevant certifications in AI or biometrics, is commonly expected. Strong analytical thinking, attention to detail, and effective problem-solving skills help professionals stand out in this position. These skills enable successful development, implementation, and evaluation of facial recognition systems, ensuring accuracy, security, and compliance within various industries.

How do I go to face recognition?

To pursue a career in facial recognition, you typically need a background in computer science, machine learning, or related fields, along with skills in programming languages like Python and experience with image processing tools. Gaining certifications in AI or biometric security can also be beneficial. Entry often involves applying for roles in technology companies, research institutions, or security firms that develop or implement facial recognition systems.

How rare are super-recognizers?

Super-recognizers are individuals with exceptional facial recognition abilities, estimated to comprise about 1-2% of the population. In facial recognition jobs, such as those involving biometric analysis or security screening, these individuals are highly valuable due to their superior accuracy and memory for faces.

What is a Facial Recognition job?

A Facial Recognition job typically involves working with AI and computer vision technologies to develop, improve, or implement facial recognition systems. Professionals in this field may work on tasks such as data collection, algorithm training, security applications, or ethical considerations related to biometric identification. These roles can be found in industries like security, law enforcement, retail, and technology. Depending on the position, skills in machine learning, programming, and image processing may be required.

More about Facial Recognition jobs
What are the most commonly searched types of Facial Recognition jobs? The most popular types of Facial Recognition jobs are:
What states have the most Facial Recognition jobs? States with the most job openings for Facial Recognition jobs include:
What job categories do people searching Facial Recognition jobs look for? The top searched job categories for Facial Recognition jobs are:
Facial Recognition jobs near you
Infographic showing various Facial Recognition job openings in the United States as of June 2026, with employment types broken down into 1% Internship, 3% As Needed, 13% Full Time, and 83% Part Time. Highlights an 98% Physical, and 2% Remote job distribution, with an average salary of $134,333 per year, or $64.6 per hour.

Test Engineer (contingent 045)

SPS - Systems Products Solutions, Inc.

Aberdeen Proving Ground, MD • On-site

Full-time

Posted 2 days ago

Job description

Job Summary:
SPS - Systems Products Solutions, Inc. is seeking a Biometric Test & Evaluation Engineer to support the testing and validation of biometric hardware and software systems used by the Department of Warfare and interagency partners. The role involves developing test plans, conducting hands-on testing, analyzing results, and providing technical support throughout the deployment lifecycle of biometric capabilities.
Responsibilities:
• Develop, implement, and execute test procedures, test plans, and evaluation methodologies for biometric systems and applications.
• Conduct hands-on testing of biometric hardware and software in laboratory, simulated, and operational environments.
• Perform functional, integration, regression, performance, and user acceptance testing to verify system requirements and operational effectiveness.
• Analyze test data and results to identify software defects, hardware malfunctions, interoperability issues, and performance limitations.
• Document findings, test results, recommendations, and corrective actions in detailed technical reports.
• Validate biometric collection devices and systems supporting fingerprint, facial recognition, iris, and voice biometric modalities.
• Support system verification and validation activities throughout the system development lifecycle.
• Provide technical support during fielding, deployment, and sustainment of biometric systems to operational units and stakeholders.
• Collaborate with software developers, system engineers, cybersecurity personnel, and government representatives to resolve identified issues and improve system performance.
• Assist in evaluating new technologies, enhancements, and upgrades to biometric capabilities.
• Must adhere to the company’s AS9100 and QMS policies, procedures and guidelines.
• Other duties as assigned.
Qualifications:
Required:
• Experience supporting test and evaluation activities within the Department of Warfare (DoW) environment.
• Knowledge of biometric technologies, identity management systems, and biometric collection processes.
• Experience developing test procedures, executing test events, and documenting technical findings.
• Strong analytical and troubleshooting skills with the ability to identify and resolve complex technical issues.
• Experience conducting functional, integration, performance, and regression testing.
• Ability to prepare technical documentation, test reports, and recommendations for government stakeholders.
• Strong communication and collaboration skills in a multi-disciplinary environment.
• Bachelor's Degree in a relevant engineering discipline and Seven (7) years of relevant experience in the test and evaluation.
Preferred:
• Experience within the DoW Biometrics community or with interagency biometric stakeholders.
• Hands-on experience with biometric collection devices supporting fingerprint, iris, facial recognition, and voice biometrics.
• Familiarity with biometric standards, data exchange protocols, and identity management systems.
• Experience supporting operational testing, fielding, and sustainment of government systems.
• Active secret security clearance or ability to obtain and maintain one.
Company:
For nearly 20 years, Systems, Products, and Solutions (SPS), Inc. and its award-winning subsidiary aviation company, Millennium Systems Services, Inc. Founded in 2005, the company is headquartered in Huntsville, USA, with a team of 51-200 employees. The company is currently Growth Stage.

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