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Home Based Bug Bounty Jobs (NOW HIRING)

WI ยท On-site

$175 - $237/hr

... Bug Bounty triage and consultation * Set the mobile security bar for Amazon's mobile applications ... When we feel supported in the workplace and at home, there's nothing we can't achieve. Inclusive ...

New

... based on testing results, risk severity, and the Company's AI risk appetite. External Partnerships & Coordination * Coordinate with external consultants, specialized AI security firms, and bug bounty ...

Senior Security Engineer

San Francisco, CA ยท On-site

$160K - $240K/yr

Validate, triage, and coordinate security findings from bug bounty, third-party pentests, and cloud ... The salary for this position is determined based on a variety of job-related factors that may ...

Product Security Engineer II

$60.25 - $80.25/hr

Help evaluate vulnerabilities from internal testing, bug bounty reports, security tooling, penetration tests, and other sources; partner with teams to prioritize and remediate issues based on real ...

Product Security Engineer

Seattle, WA ยท On-site

$188K - $250K/yr

... bug bounty program. * Experiment with and develop AI-based tools to enable the Security team to ... Generous stipends (including those for caregiving, pet care, wellness, your home office, and more)

Enterprise Account Executive

Chicago, IL ยท On-site +1

$116K - $160K/yr

Based in San Francisco and New Hampshire, Bugcrowd is supported by General Catalyst, Rally Ventures ... Prior experience selling crowdsourced security, Bug Bounty, or Attack Surface Management solutions.

Showing results 21-40

Home Based Bug Bounty information

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How much do home based bug bounty jobs pay per hour?

As of Aug 15, 2026, the average hourly pay for home based bug bounty in the United States is $20.88, according to ZipRecruiter salary data. Most workers in this role earn between $18.27 and $22.60 per hour, depending on experience, location, and employer.

What is a home based bug bounty?

Home based bug bounty jobs involve working remotely to find and report security vulnerabilities in software, websites, or applications. These positions allow individuals to participate in bug bounty programs offered by companies, earning rewards or payments for successfully identifying and reporting bugs. Home based bug bounty hunters typically use their cybersecurity skills to test systems, submit detailed reports, and collaborate with organizations to improve their security. This flexible work arrangement is ideal for those interested in cybersecurity, ethical hacking, and remote work opportunities.

What is the difference between Home Based Bug Bounty vs Remote Penetration Tester?

AspectHome Based Bug BountyRemote Penetration Tester
CredentialsKnowledge of cybersecurity, bug bounty platformsCertifications like OSCP, CEH often preferred
Work EnvironmentSelf-directed, flexible, home-basedRemote or on-site, client-specific environments
Industry UsageFreelance, independent security researchersConsultants, security firms, corporate security teams
Search/Comparison IntentFinding freelance bug bounty opportunitiesSeeking professional penetration testing services

Home Based Bug Bounty roles involve independent security researchers finding vulnerabilities via bug bounty platforms, often working from home with flexible hours. Remote Penetration Testers are professional security consultants hired by organizations to assess security remotely or on-site. While both require cybersecurity knowledge, bug bounty hunters focus on individual contributions, whereas penetration testers work within client projects with formal contracts.

What are some common challenges faced by home based bug bounty hunters, and how can they be addressed?

Home-based bug bounty hunters often face challenges such as staying updated with the latest security vulnerabilities, maintaining motivation without a traditional team environment, and managing time effectively across multiple programs. To address these, it's helpful to participate in online security communities, set regular work hours, and leverage collaboration tools for connecting with other researchers. Continuous learning and self-discipline are key to success, along with establishing a comfortable and distraction-free workspace.

Can you make a living doing home based bug bounty?

Home based bug bounty programs can provide income for skilled security researchers who find vulnerabilities in software and websites. Earnings vary widely depending on the severity of bugs found, the scope of programs, and the individual's experience, with top performers earning substantial sums. Consistent income typically requires ongoing skill development, participation in multiple programs, and building a reputation in the cybersecurity community.

What are the key skills and qualifications needed to thrive as a home based bug bounty hunter?

To thrive as a Home Based Bug Bounty Hunter, you need strong knowledge of cybersecurity fundamentals, vulnerability assessment, ethical hacking, and often a background in computer science or related certifications like OSCP or CEH. Proficiency with tools such as Burp Suite, Metasploit, Nmap, and familiarity with bug bounty platforms like HackerOne or Bugcrowd is essential. Strong analytical thinking, problem-solving abilities, persistence, and effective written communication are valuable soft skills in this role. These skills and qualities are crucial for accurately identifying vulnerabilities, reporting them clearly, and maximizing success in competitive bug bounty programs.

What cities are hiring for Home Based Bug Bounty jobs?

Cities with the most Home Based Bug Bounty job openings:

What are the most commonly searched types of Bug Bounty jobs?

The most popular types of Bug Bounty jobs are:

What states have the most Home Based Bug Bounty jobs?

States with the most job openings for Home Based Bug Bounty jobs include:

What job categories do people searching Home Based Bug Bounty jobs look for?

The top searched job categories for Home Based Bug Bounty jobs are:

Infographic showing various Home Based Bug Bounty job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 15% Part Time, and 7% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $43,422 per year, or $20.9 per hour.

Strategic Projects Lead - AI Safety

AfterQuery

San Francisco, CA โ€ข On-site

Full-time

Posted 3 days ago

New


Job description

About AfterQuery
AfterQuery is an applied research lab curating data solutions for foundation model development.
We serve every frontier AI lab with the mission of delivering the best data to power the best models. In doing so, we can make expertise that once took a lifetime to build available to anyone who needs it. Our customers are the ones building the foundation models themselves and our work sits directly in the loop of how those systems improve.
This is a rare opportunity to join a company at a defining moment in AI. Since raising our $30M Series A at a $300M valuation, AfterQuery has grown well over a $100M revenue run rate.
We're based in San Francisco and backed by leading investors including Altos Ventures, BoxGroup, and Y Combinator and angels from Google DeepMind, OpenAI, Anthropic, Meta Superintelligence Labs, and Microsoft AI.
Why Apply
Massive Opportunity:
We were one of the fastest-growing YC companies in our batch, and we believe we can become one of the fastest-growing YC companies of all time.
Founding Impact:
You will own and architect core infrastructure systems that power our platform from the ground up.
Equity & Growth:
Competitive salary and meaningful equity. As we scale, you'll have the opportunity to shape the engineering organization and lead major technical initiatives.
Strong Team:
Our founding team has experience from Citadel Securities, Meta, Google, Silver Lake, and Morgan Stanley - work alongside world-class engineers and researchers.
Responsibilities
  • Project and client management: Partner directly with the safety, alignment, and trust & safety teams at frontier AI labs - scoping their hardest data problems, translating them into deliverable programs, and driving revenue.
  • Manage expert teams: Recruit and lead specialized contributors - red teamers, security researchers, trust & safety practitioners, and domain risk experts - and hold a high bar on the quality of what they produce.
  • Shape how frontier models are made safe: Design the specifications behind adversarial datasets, jailbreak and attack taxonomies, refusal-boundary and over-refusal sets, and safety benchmarks that labs use to measure and improve model behavior.
  • Build the red teaming machinery: Stand up repeatable methodologies - human red team campaigns, automated attack generation, coverage tracking against harm taxonomies - rather than one-off deliverables.
  • End-to-end execution: Own projects from first conversation through final delivery, in a fast-moving environment where the spec often does not exist yet.
  • Operational impact: Support initiatives across building, analysis, coordination, and execution as we scale the safety practice.
Required Qualifications
  • 2+ years in AI safety, red teaming, trust & safety, adversarial ML, or security research; at a frontier AI lab, FAANG, top security firm, or equivalent.
  • Hands-on adversarial experience: jailbreaking or stress-testing frontier models, prompt injection research, offensive security, penetration testing, bug bounty, CTFs, or trust & safety investigations and enforcement.
  • Fluency with how safety work is actually structured (harm taxonomies, evaluation design, safety frameworks and model policy).
  • High agency and the ability to execute in ambiguity; comfort defining the problem before solving it.
  • Strong writing. Much of this job is specifying risk precisely enough that fifty other people can execute against it.
  • Genuine passion for AI and interest in entrepreneurship.
  • Demonstrated track record of competitive success.
  • Strong leadership and communication skills.
  • Python proficiency and the ability to write production-quality code.

Preferred Qualifications
  • Published safety, alignment, or security research.
  • Track record in bug bounty, CTF, or model red teaming competitions.
  • Experience building automated red teaming or eval pipelines.
  • Depth in a high-consequence risk domain (cyber, bio, fraud and financial crime, child safety, influence operations).
  • Experience using AI tools to automate workflows and build products.