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Application Reviewer Jobs (NOW HIRING)

Actalent

Data Reviewer

Verona, WI · On-site

$35 - $43/hr

Data Reviewer As a Data Reviewer, you will be responsible for reviewing data from validations and ... Application Deadline This position is anticipated to close on Apr 30, 2025. About Actalent Actalent ...

Actalent

Data Reviewer

Madison, WI · On-site

$35 - $43/hr

Job Title: Data Reviewer As a Data Reviewer, you will be responsible for reviewing data from ... Application Deadline This position is anticipated to close on May 13, 2025. About Actalent Actalent ...

City of West Fargo

Plan Reviewer III

West Fargo, ND · On-site

$81K - $89K/yr

Applications will be reviewed after 2 weeks and at the close. Three professional references ... the application of code, particularly when designs require code interpretation. Assists the ...

Flex Ltd.

Device History Record Reviewer

Austin, TX · On-site

Perform comprehensive review of Device History Records (DHRs) to ensure completeness, accuracy, and ... Tuition Reimbursement Application Deadline: Applications for this job position will be accepted for ...

ApTask

Nurse Reviewer

Phoenix, AZ · On-site

Medical record review experience * Clinical knowledge As a Nurse Reviewer, you will be responsible ... By submitting your application, you agree to ApTask's (www.aptask.com) Terms of Use and Privacy ...

Actalent

Data Reviewer

$45 - $50/hr

Application Deadline This position is anticipated to close on Sep 25, 2026. About Actalent Actalent ... reviewed using AI tools.

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How much do application reviewer jobs pay per year?

As of Sep 14, 2026, the average yearly pay for application reviewer in the United States is $121,466.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,500.00 and $142,000.00 per year, depending on experience, location, and employer.

What is an application reviewer?

Application reviewers are professionals responsible for evaluating and assessing applications submitted for jobs, schools, grants, or other programs. They review submitted materials to determine if applicants meet the required criteria and standards. Application reviewers play a key role in the selection process by ensuring fairness and consistency in evaluating each candidate. Their work helps organizations identify the best-suited applicants for available opportunities.

What are the key skills and qualifications needed to thrive as an application reviewer, and why are they important?

To thrive as an Application Reviewer, you need strong analytical skills, attention to detail, and a solid understanding of relevant evaluation criteria, often supported by a degree in a related field. Familiarity with applicant tracking systems (ATS), databases, and digital documentation tools is typically required. Excellent written communication, objectivity, and time management are crucial soft skills for consistently fair and efficient reviews. These competencies ensure accurate, unbiased assessments and contribute to effective selection processes.

What are some common challenges faced by application reviewers, and how can they be addressed?

Application Reviewers often face the challenge of managing large volumes of applications while maintaining consistency and fairness in evaluations. Balancing efficiency with thoroughness can be demanding, especially during peak application periods. Staying organized through standardized rubrics and regular calibration meetings with the review team can help ensure objective assessments. Additionally, clear communication with colleagues and ongoing training on evaluation criteria are key to overcoming these challenges and delivering high-quality recommendations.

What is the difference between Application Reviewer vs Application Analyst?

AspectApplication ReviewerApplication Analyst
Required CredentialsHigh school diploma or equivalent; some roles may require a bachelor's degreeBachelor's degree in related field; certifications may be preferred
Work EnvironmentOffice setting, often in government or corporate sectorsOffice or remote, analyzing data and processing applications
Employer & Industry UsageUsed in government agencies, healthcare, and finance sectorsCommon in IT, finance, and administrative sectors
Search & Comparison IntentUnderstanding job duties and qualifications for application review rolesComparing roles involving data analysis and application processing

Application Reviewers primarily evaluate applications for completeness and eligibility, focusing on initial screening. Application Analysts perform more in-depth data analysis, interpret application data, and may recommend decisions. While both roles involve reviewing applications, Analysts typically require more technical skills and higher education, and their work involves detailed data analysis beyond initial screening.

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Cities with the most Application Reviewer job openings:

What are the most commonly searched types of Application Reviewer jobs?

The most popular types of Application Reviewer jobs are:

What states have the most Application Reviewer jobs?

States with the most job openings for Application Reviewer jobs include:

What are popular job titles related to Application Reviewer jobs?

For Application Reviewer jobs, the most frequently searched job titles are:

Application Reviewer jobs near you
Infographic showing various Application Reviewer job openings in the United States as of September 2026, with employment types broken down into 77% Full Time, 19% Part Time, and 4% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $121,466 per year, or $58.4 per hour.

Information Security Engineer (Application Security)

Fremont, CA • On-site

Lam Research Corporation
Manufacturing • 10K+ employees
Learn more about Lam Research Corporationexternal

$64.25 - $86/hr

Full-time

Re-posted 14 days ago

Lam Research rating

8.2

Company rating: 8.2 out of 10

Based on 46 frontline employees who took The Breakroom Quiz

Job description

The group you'll be a part of
This position will be part of Lam Information Security's Application Security team, supporting Secure SDLC, product security, application risk assessments, threat modeling, vulnerability validation, penetration testing, and AI-related security initiatives across Lam-developed applications and AI-enabled solutions.
The impact you'll make
This position will increase Lam's Application Security and Product Security capacity by helping scale Secure SDLC reviews, application risk assessments, threat modeling, vulnerability validation, penetration testing, and AI-related security reviews. The role will help reduce security risk earlier in the development lifecycle, improve consistency across Lam-developed applications and AI-enabled solutions, and support engineering teams in delivering secure software with appropriate controls for data, access, AI model usage, logging, and human oversight.
What you'll do
  • Support the objectives of the Application Security team by contributing to secure design, Secure SDLC execution, and product security reviews.
  • Assist with application risk assessments, secure design reviews, threat modeling, code review, vulnerability assessment, and penetration testing.
  • Support the integration and operational use of application security tools, including SAST, SCA and DAST, and other DevSecOps capabilities in CI/CD pipelines.
  • Work with development teams to identify and document security requirements, common application risks, and required controls based on application risk level, data sensitivity, exposure, and system interconnections.
  • Help engineering teams interpret and apply secure coding standards, OWASP guidance, internal Secure SDLC requirements, and product security best practices.
  • Assist in reviewing AI-related security risks, including prompt injection, insecure model/tool integration, data leakage, excessive autonomy, insecure AI outputs, model sourcing, sensitive data exposure, and lack of human-in-the-loop controls.
  • Participate in AI-related security initiatives, including secure AI model usage, AI-assisted development governance, AI-enabled application review, and secure MLOps process improvement.
  • Research, evaluate, and help pilot new security capabilities, automation, and AI-assisted AppSec workflows under guidance from senior security engineers.
  • Document findings, recommendations, and review outcomes clearly for application teams, security leadership, and governance tracking.
  • Partner with cross-functional teams to improve secure development practices and reduce application and product security risk.

Who we're looking for
  • Bachelor's degree in computer science, Information Security, Information Technology, Engineering, or related field, or equivalent practical experience.
  • 3+ years of experience in information security, application security, product security, software engineering, DevSecOps, or related technical field.
  • Working knowledge of Secure SDLC practices, including threat modeling, secure design review, code review, vulnerability assessment, and security testing.
  • Familiarity with common application security frameworks and risks, including OWASP Top 10, API security, authentication/authorization, input validation, secrets management, and secure coding practices.
  • Hands-on or working experience with one or more application security tools such as SAST, DAST, SCA, secrets scanning, container scanning, or vulnerability management platforms.
  • Basic understanding of CI/CD pipelines and developer tools such as Git, Bitbucket, Jenkins, Azure DevOps, Artifactory, or similar platforms.
  • Ability to analyze technical information, identify security risks, and communicate findings clearly to engineering and security stakeholders.
  • Strong collaboration skills and ability to work with cross-functional global teams.

Preferred qualifications
  • Experience supporting security reviews for cloud, product, or manufacturing/engineering software environments.
  • Experience with Azure, Microsoft DevOps, Kubernetes, containers, APIs, or modern application architectures.
  • Exposure to AI/ML security concepts, including generative AI, RAG, AI agents, model governance, prompt injection, model/data leakage, AI-assisted coding, and secure MLOps.
  • Familiarity with security requirements for AI-enabled applications, including approved model usage, data minimization, access control, logging, monitoring, human oversight, and secure tool/plugin integration.
  • Experience helping engineering teams remediate application vulnerabilities and validate fixes.
  • Security certifications such as Security+, CSSLP, CISSP, GIAC, or similar are preferred but not required.
  • Ability to break down complex security problems, document practical recommendations, and contribute to repeatable security review processes.

Our commitment
We believe it is important for every person to feel valued, included, and empowered to achieve their full potential. By bringing unique individuals and viewpoints together, we achieve extraordinary results.
Lam Research ("Lam" or the "Company") is an equal opportunity employer. Lam is committed to and reaffirms support of equal opportunity in employment and non-discrimination in employment policies, practices and procedures on the basis of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex (including pregnancy, childbirth and related medical conditions), gender, gender identity, gender expression, age, sexual orientation, or military and veteran status or any other category protected by applicable federal, state, or local laws. It is the Company's intention to comply with all applicable laws and regulations. Company policy prohibits unlawful discrimination against applicants or employees.
Lam offers a variety of work location models based on the needs of each role. Our hybrid roles combine the benefits of on-site collaboration with colleagues and the flexibility to work remotely and fall into two categories - On-site Flex and Virtual Flex. 'On-site Flex' you'll work 3+ days per week on-site at a Lam or customer/supplier location, with the opportunity to work remotely for the balance of the week. 'Virtual Flex' you'll work 1-2 days per week on-site at a Lam or customer/supplier location, and remotely the rest of the time.
Salary
CA San Francisco Bay Area Salary Range for this position: $92,000.00 - $211,000.00.
The above salary range for this position is relevant to applicants that reside or work onsite in the California, San Francisco Bay Area only. Salary offers will depend on factors that include the location you work from, your level, education, training, specific skills, years of experience and comparison to other employees already in this role. Actual salary may vary from salary offered due to numerous factors including but not limited to unpaid time off, unpaid leave, company mandated shutdown, and other relevant factors.
Our Perks and Benefits
At Lam, our people make amazing things possible. That's why we invest in you throughout the phases of your life with a comprehensive set of outstanding benefits.

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About Lam Research

Sourced by ZipRecruiter

Lam Research designs and builds products for semiconductor manufacturing, including equipment for thin film deposition, plasma etch, photoresist strip, and wafer cleaning processes.

Industry

Manufacturing

Company size

10,000+ Employees

Headquarters location

Fremont, CA, US

Year founded

1980

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