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Remote Face Recognition Jobs (NOW HIRING)

Intake Assistant- Per Diem Weekend Remote The Intake Assistant is responsible for providing ... Computer Skills, ability to work in face pace * Salary commensurate with experience. * Candidate ...

Finance Manager (Remote)

$130K - $140K/yr

We're changing the face of I.T. - from our diverse staff to the end-products we develop. And we're ... Manage the business unit's month end close process including cost accruals, revenue recognition and ...

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Appointment Setter

Saint George, UT ยท On-site

$4K - $8K/mo

Established Brand Recognition For more than 14 years, homeowners throughout Southern Utah have ... Remote

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Remote Face Recognition information

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$10

$61

$84

How much do remote face recognition jobs pay per hour?

As of Jun 11, 2026, the average hourly pay for remote face recognition in the United States is $61.71, according to ZipRecruiter salary data. Most workers in this role earn between $54.09 and $74.04 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Face Recognition Specialist, and why are they important?

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 is a Remote Face Recognition job?

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 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 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.
More about Remote Face Recognition jobs
What cities are hiring for Remote Face Recognition jobs? Cities with the most Remote Face Recognition job openings:
What are the most commonly searched types of Face Recognition jobs? The most popular types of Face Recognition jobs are:
What states have the most Remote Face Recognition jobs? States with the most job openings for Remote Face Recognition jobs include:
Infographic showing various Remote Face Recognition job openings in the United States as of June 2026, with employment types broken down into 94% Full Time, and 6% Part Time. Highlights an 100% Remote job distribution, with an average salary of $128,365 per year, or $61.7 per hour.
C2 Ops/Cyber Security

C2 Ops/Cyber Security

Apogee Engineering, LLC

Warner Robins, GA โ€ข Remote

$103K - $139K/yr

Other

Posted 13 days ago


Job description

Overview

Apogee has an opportunity for a C2 Ops/Cyber Security SME specializing in Command & Control (C2) Operations and Cyber Security to provide contractor siteย reachback support for the M-Code Aviation Receivers Joint Program Office (MAR JPO). This position supports EZA (Assured PNT) and AF Cyber Resiliency Office for Weapon Systems (CROWS) with expert-level analysis, planning, and development of cyber resiliency solutions.ย 

This is a full-time remote position with occasional travel to government sites.ย 

Responsibilities

EZA/CROWS Strategicย Support:

  • Identifyย disconnects in USAF Assured PNT planning, implementation, and execution
  • Provide recommendations forย establishingย future courses of action for resiliency strategy
  • Support the development and implementation of a common construct acrossย Multi-GNSSย modernization
  • Conduct analysis and integration across AFLCMC portfoliosย 

Threat Analysis &ย Research:

  • Research current and evolving threat capabilities that could degrade or deny PNT
  • Conduct data gathering and fact-finding on DoD, USAF, and AFLCMC directives
  • Evaluate threat impacts on GPS and navigation systems
  • Support the development of countermeasure strategiesย 

Roadmapย Development:

  • Develop integrated roadmaps addressing Assured PNT capabilities
  • Address the interaction and interdependence of CNS/ATM, M-Code, ADS-B Out, tactical data links, and IFF
  • Review andย participateย in Assured PNT roadmap development
  • Support systems engineering activities for PNT/NAVWAR tasksย 

Open Systemย Architecture:

  • Generate Modular Open Systems Approach (MOSA) standards for M-Code modernization
  • Support the development of open architecture frameworksย 
  • Recommend implementation approaches for SOSA, FACE, OMS, and other standards
  • Evaluate open architecture compliance and effectivenessย 

Cyber Resiliencyย Development:

  • Participateย in the development of material and non-material solutions for cyber resiliency gaps
  • Support tactical data link systems' cyber resiliency efforts
  • Evaluate cyber vulnerabilities and develop mitigation approaches
  • Support testing and evaluation of cybersecurity solutionsย 

Documentation & Analysis:

  • Generate point papers and briefings on fact-finding assessment results
  • Develop strategic roadmap documentation
  • Identifyย follow-on task recommendations
  • Support GPS-based navigation databases and data chain processes reviewย 
Qualifications

Minimum Experience:

Citizenship: Must be a US citizenย Clearance:ย Must have and be able to maintain a TS/SCI level clearanceย Education: Bachelor's Degree in Cybersecurity, Engineering, or related fieldYears of Experience: 25 years of experience in C2 operations and cybersecurity

Additional experience:

  • Recognized expert in Assured PNT and cyber resiliencyย 
  • Deep knowledge of DoD C2 systems and cybersecurity frameworks
  • Experience with navigation warfare and GPS security
  • Knowledge of MOSA, SOSA, FACE, OMS standards
  • Understanding of tactical data links and avionics integration
  • Experience with ADS-B, M-Code, and CNS/ATM systems
  • Strong strategic planning and analysis capabilities
  • Excellent technical writing and presentation skillsย 

Preferred Experience:

Education: Master's Degree in Cybersecurity, Engineering, or related fieldYears of Experience: 20ย years of experience in C2 operations and cybersecurity

Additional Information:Location:ย Contractor Site (National - Remote)Remote: This is a full-time remote position

Travel: Travel up to 30% may be required, per the customer's discretion

Employment Type: OTHER