Cybersecurity Expert - AI Model Evaluation Job
Employer: Ramakant Gupta
SpiderID: 14251080
Location: California City, California
Posted: 10/7/2026
Wage: 30-300$/hr
Priority Review Date: 1/5/2027
Job Code / NOC / SOC:
Category: General
Job Description:
Get paid to help build better AI.
Alpheva AI (www.Alpheva.ai), the Silicon Valley company that is building intelligence behind frontier AI, is looking for experienced cybersecurity professionals to participate in paid, project-based work that helps train and evaluate the next generation of AI systems.
You work remotely and asynchronously on projects that fit around your existing schedule.
Your cybersecurity expertise becomes the signal that helps AI systems learn what accurate, secure, and professionally sound cybersecurity work actually looks like.
IMPORTANT: To be considered, Apply directly through: https://alpheva.ai/experts/
What you'll do
Depending on the project, you may:
Analyze: Review cybersecurity scenarios, security architectures, vulnerabilities, threats, incidents, logs, and security controls.
Evaluate: Review AI-generated cybersecurity analysis, recommendations, risk assessments, and security solutions.
Validate: Determine whether AI-generated cybersecurity outputs are accurate, technically sound, secure, and consistent with established security principles.
Review: Assess security configurations, incident response plans, vulnerability assessments, threat models, access controls, and security policies.
Reason: Solve realistic cybersecurity problems and explain how an experienced cybersecurity professional would approach them.
Compare solutions: Assess multiple AI-generated cybersecurity solutions and identify meaningful differences in accuracy, security, reasoning, risk, and professional judgment.
Create evaluations: Develop challenging cybersecurity tasks and criteria for measuring AI systems.
Provide expert judgment: Identify vulnerabilities, security gaps, incorrect assumptions, unsafe recommendations, and technically incorrect conclusions in AI-generated work.
Projects may involve information security, network security, cloud security, application security, cybersecurity risk management, threat intelligence, vulnerability management, incident response, penetration testing, identity and access management, security operations, compliance, and other areas depending on your expertise.
Who we're looking for
We're looking for experienced cybersecurity professionals, not necessarily AI researchers.
You should have:
3+ years of professional experience in cybersecurity, information security, network security, application security, cloud security, or a related field
Strong cybersecurity and analytical reasoning skills
Experience working with real-world security systems, incidents, vulnerabilities, or security operations
Ability to evaluate cybersecurity analysis and recommendations critically
Strong attention to detail
Ability to identify security vulnerabilities, risks, inconsistencies, and unsupported assumptions
Strong professional judgment
Ability to clearly explain why a security recommendation, assessment, or conclusion is correct or incorrect
Experience with any of the following is valuable:
Information and network security
Cloud security
Application and software security
Vulnerability management
Penetration testing and security testing
Threat intelligence and threat analysis
Security operations and incident response
Identity and access management
Security architecture and engineering
Governance, risk, and compliance
Security monitoring and detection
Security frameworks, standards, and best practices
Relevant cybersecurity degree, certification, or professional qualification
You do not need prior experience working in AI.
What matters most is that you know how to do cybersecurity work well.
You might be asked to:
Review an AI-generated cybersecurity analysis and identify the issues.
Evaluate whether an AI-generated vulnerability assessment is technically accurate.
Assess whether a security recommendation appropriately addresses a specific threat or risk.
Review an AI-generated incident response plan and identify weaknesses.
Compare two AI-generated cybersecurity solutions and determine which is stronger.
Evaluate an AI-generated security architecture or configuration.
Analyze a realistic cybersecurity scenario and explain your reasoning.
Identify security vulnerabilities, gaps, inconsistencies, or unsupported conclusions.
Assess whether an AI-generated recommendation appropriately considers attack surfaces, security controls, risk, business impact, and operational constraints.
Create challenging cybersecurity problems that can be used to evaluate AI systems.
The goal is not simply to determine whether cybersecurity work looks reasonable.
The goal is to capture the judgment an experienced cybersecurity professional uses to determine whether cybersecurity work is actually secure and technically sound.
Compensation
Paid project-based work.
Rates vary based on your experience, specialization, and project requirements. Your applicable rate and project scope will be shown before you commit to a project.
Some projects are short assignments. Others may involve recurring work over a longer period.
There is no fixed schedule and no minimum commitment.
Work arrangement
Remote
Asynchronous
Project-based
Flexible hours
Work around your existing job or commitments
Paid for qualifying project work
But producing a plausible-looking cybersecurity answer is not the same as demonstrating strong cybersecurity judgment.
AI needs to learn how experienced cybersecurity professionals:
Analyze security information
Identify vulnerabilities and threats
Evaluate security controls
Assess attack surfaces and risks
Analyze security architectures
Evaluate incident response strategies
Assess access controls and security configurations
Identify security gaps and weaknesses
Evaluate assumptions and supporting evidence
Recognize important security edge cases
Compare alternative security solutions
Assess business and operational impact
Explain security conclusions clearly
Determine when cybersecurity analysis is actually reliable
That's where you come in.
Your cybersecurity expertise helps shape how AI learns to reason about security.
How it works
Apply
Tell us about your cybersecurity background, experience, qualifications, and areas of expertise.
Get qualified
Complete a short assessment designed around the type of cybersecurity work you'll perform.
Get matched
When your experience matches an active project, we'll share the scope, requirements, and compensation.
Do the work
Complete projects remotely and asynchronously.
Get paid
Receive the agreed rate for your completed work.
Help teach AI how great cybersecurity professionals actually work.
Apply directly through: https://alpheva.ai/experts/
Alpheva AI (www.Alpheva.ai), the Silicon Valley company that is building intelligence behind frontier AI, is looking for experienced cybersecurity professionals to participate in paid, project-based work that helps train and evaluate the next generation of AI systems.
You work remotely and asynchronously on projects that fit around your existing schedule.
Your cybersecurity expertise becomes the signal that helps AI systems learn what accurate, secure, and professionally sound cybersecurity work actually looks like.
IMPORTANT: To be considered, Apply directly through: https://alpheva.ai/experts/
What you'll do
Depending on the project, you may:
Analyze: Review cybersecurity scenarios, security architectures, vulnerabilities, threats, incidents, logs, and security controls.
Evaluate: Review AI-generated cybersecurity analysis, recommendations, risk assessments, and security solutions.
Validate: Determine whether AI-generated cybersecurity outputs are accurate, technically sound, secure, and consistent with established security principles.
Review: Assess security configurations, incident response plans, vulnerability assessments, threat models, access controls, and security policies.
Reason: Solve realistic cybersecurity problems and explain how an experienced cybersecurity professional would approach them.
Compare solutions: Assess multiple AI-generated cybersecurity solutions and identify meaningful differences in accuracy, security, reasoning, risk, and professional judgment.
Create evaluations: Develop challenging cybersecurity tasks and criteria for measuring AI systems.
Provide expert judgment: Identify vulnerabilities, security gaps, incorrect assumptions, unsafe recommendations, and technically incorrect conclusions in AI-generated work.
Projects may involve information security, network security, cloud security, application security, cybersecurity risk management, threat intelligence, vulnerability management, incident response, penetration testing, identity and access management, security operations, compliance, and other areas depending on your expertise.
Who we're looking for
We're looking for experienced cybersecurity professionals, not necessarily AI researchers.
You should have:
3+ years of professional experience in cybersecurity, information security, network security, application security, cloud security, or a related field
Strong cybersecurity and analytical reasoning skills
Experience working with real-world security systems, incidents, vulnerabilities, or security operations
Ability to evaluate cybersecurity analysis and recommendations critically
Strong attention to detail
Ability to identify security vulnerabilities, risks, inconsistencies, and unsupported assumptions
Strong professional judgment
Ability to clearly explain why a security recommendation, assessment, or conclusion is correct or incorrect
Experience with any of the following is valuable:
Information and network security
Cloud security
Application and software security
Vulnerability management
Penetration testing and security testing
Threat intelligence and threat analysis
Security operations and incident response
Identity and access management
Security architecture and engineering
Governance, risk, and compliance
Security monitoring and detection
Security frameworks, standards, and best practices
Relevant cybersecurity degree, certification, or professional qualification
You do not need prior experience working in AI.
What matters most is that you know how to do cybersecurity work well.
You might be asked to:
Review an AI-generated cybersecurity analysis and identify the issues.
Evaluate whether an AI-generated vulnerability assessment is technically accurate.
Assess whether a security recommendation appropriately addresses a specific threat or risk.
Review an AI-generated incident response plan and identify weaknesses.
Compare two AI-generated cybersecurity solutions and determine which is stronger.
Evaluate an AI-generated security architecture or configuration.
Analyze a realistic cybersecurity scenario and explain your reasoning.
Identify security vulnerabilities, gaps, inconsistencies, or unsupported conclusions.
Assess whether an AI-generated recommendation appropriately considers attack surfaces, security controls, risk, business impact, and operational constraints.
Create challenging cybersecurity problems that can be used to evaluate AI systems.
The goal is not simply to determine whether cybersecurity work looks reasonable.
The goal is to capture the judgment an experienced cybersecurity professional uses to determine whether cybersecurity work is actually secure and technically sound.
Compensation
Paid project-based work.
Rates vary based on your experience, specialization, and project requirements. Your applicable rate and project scope will be shown before you commit to a project.
Some projects are short assignments. Others may involve recurring work over a longer period.
There is no fixed schedule and no minimum commitment.
Work arrangement
Remote
Asynchronous
Project-based
Flexible hours
Work around your existing job or commitments
Paid for qualifying project work
But producing a plausible-looking cybersecurity answer is not the same as demonstrating strong cybersecurity judgment.
AI needs to learn how experienced cybersecurity professionals:
Analyze security information
Identify vulnerabilities and threats
Evaluate security controls
Assess attack surfaces and risks
Analyze security architectures
Evaluate incident response strategies
Assess access controls and security configurations
Identify security gaps and weaknesses
Evaluate assumptions and supporting evidence
Recognize important security edge cases
Compare alternative security solutions
Assess business and operational impact
Explain security conclusions clearly
Determine when cybersecurity analysis is actually reliable
That's where you come in.
Your cybersecurity expertise helps shape how AI learns to reason about security.
How it works
Apply
Tell us about your cybersecurity background, experience, qualifications, and areas of expertise.
Get qualified
Complete a short assessment designed around the type of cybersecurity work you'll perform.
Get matched
When your experience matches an active project, we'll share the scope, requirements, and compensation.
Do the work
Complete projects remotely and asynchronously.
Get paid
Receive the agreed rate for your completed work.
Help teach AI how great cybersecurity professionals actually work.
Apply directly through: https://alpheva.ai/experts/
Company Profile:
Alpheva AI is an AI infrastructure and data company focused on helping frontier/artificial AI systems learn, evaluate, and perform complex real-world work. It transforms expert judgment, professional workflows, and human feedback into high-quality training data, reinforcement-learning signals, agent environments, and evaluations. Alpheva AI
Core capabilities:
- Expert training data & reasoning traces
- AI model evaluations and benchmarks
- Reinforcement learning and expert rubrics
- Agent and computer-use environments
- Professional domain data
- Custom model improvement and post-training
- Deep research and multimodal reasoning data Alpheva AI
Alpheva works across 120+ professional and specialized domains, including finance, accounting, law, software, healthcare, engineering, risk, science, and operations. Alpheva AI
Mission: Help AI move beyond producing plausible answers to reliably performing real professional work by teaching models from the people who actually do that w
Contact Information:
| Contact Name: Ramakant Gupta | Type: Employer |
| Company: | |
| Web Site: https://www.alpheva.ai | |