$140 - $210/hr
A track record in CTFs, red-team competitions, or responsible-disclosure / bounty programs. Why White Circle * Paid time off in line with your local regulations, no matter where you work from
$140 - $210/hr
A track record in CTFs, red-team competitions, or responsible-disclosure / bounty programs. Why White Circle * Paid time off in line with your local regulations, no matter where you work from
Local Bounty Hunter information
See salary details
$11.5K - $20.5K
1% of jobs
$20.5K - $29.5K
5% of jobs
$38.3K is the 25th percentile. Wages below this are outliers.
$29.5K - $38.5K
19% of jobs
$38.5K - $47.5K
12% of jobs
$47.5K - $56.5K
11% of jobs
The median wage is $57.2K / yr.
$56.5K - $65.5K
28% of jobs
$65.5K - $74.5K
13% of jobs
$74.5K - $83.5K
9% of jobs
$83.5K - $92.5K
1% of jobs
$92.5K - $101.5K
1% of jobs
$101.5K - $110.5K
1% of jobs
$11.5K
$58K
$110.5K
How much do local bounty hunter jobs pay per year?
As of Sep 6, 2026, the average yearly pay for local bounty hunter in the United States is $58,011.00, according to ZipRecruiter salary data. Most workers in this role earn between $38,000.00 and $67,500.00 per year, depending on experience, location, and employer.
What is a local bounty hunter?
Local bounty hunters, also known as bail enforcement agents, are professionals hired to locate and apprehend individuals who have skipped bail and failed to appear in court. They typically work on behalf of bail bonds companies to ensure that defendants who have been released on bail return to court as required. Local bounty hunters often operate within specific regions or jurisdictions and must comply with state and local laws governing their activities. Their duties may include tracking fugitives, conducting surveillance, and working with law enforcement. In some states, bounty hunters must be licensed and complete specific training.
What are the key skills and qualifications needed to thrive as a local bounty hunter?
To thrive as a Local Bounty Hunter, you need knowledge of law enforcement practices, strong investigative skills, and a valid license as required by your state. Familiarity with databases like NCIC, use of surveillance equipment, and sometimes certifications in fugitive recovery are typical technical requirements. Outstanding negotiation, discretion, and situational awareness are critical soft skills for safely apprehending fugitives and dealing with high-pressure situations. These competencies ensure effective and lawful capture of fugitives while minimizing risk to yourself and the public.
What are some typical challenges a local bounty hunter faces when attempting to locate and apprehend fugitives?
Local bounty hunters often encounter challenges such as tracking down individuals who are actively evading capture, navigating complex legal requirements that vary by jurisdiction, and ensuring personal safety during apprehensions. They must carefully coordinate with law enforcement and legal professionals to avoid legal pitfalls and maintain compliance with all regulations. Additionally, building trust with informants and managing unpredictable situations require strong communication and problem-solving skills.
What is the difference between Local Bounty Hunter vs Bail Bonds Agent?
| Aspect | Local Bounty Hunter | Bail Bonds Agent |
|---|---|---|
| Credentials | None mandatory, some may have licenses | Required licensing and bondsman certification |
| Work Environment | Fieldwork, tracking and apprehending fugitives | Office-based, client interactions, and court appearances |
| Industry Usage | Private investigations, fugitive recovery | Legal and financial services, bail industry |
| Search & Comparison Intent | High overlap in job functions and industry | Commonly compared due to industry overlap |
While both roles operate within the bail industry, a Local Bounty Hunter primarily focuses on tracking and apprehending fugitives in the field, often without formal licensing. In contrast, a Bail Bonds Agent works in an office setting, providing bail bonds and legal assistance, typically requiring licensing and certification. Both roles are integral to the bail process but differ significantly in work environment and credentials.
How do you get into a local bounty hunter career?
To become a local bounty hunter, individuals typically need a background in law enforcement, security, or related fields, and must obtain a license or certification where required by local laws. Skills such as investigation, negotiation, and knowledge of legal procedures are important, and some regions require training courses or background checks before starting the job.
How much do local bounty hunters get paid?
Local bounty hunters typically earn between $50,000 and $100,000 annually, depending on experience, location, and the number of cases they handle. They often work on a commission basis, receiving a percentage of the bounty posted for each capture, which can significantly increase their income with successful recoveries.
What cities are hiring for Local Bounty Hunter jobs?
Cities with the most Local Bounty Hunter job openings:
What are the most commonly searched types of Bounty Hunter jobs?
The most popular types of Bounty Hunter jobs are:
What states have the most Local Bounty Hunter jobs?
States with the most job openings for Local Bounty Hunter jobs include:
What job categories do people searching Local Bounty Hunter jobs look for?
The top searched job categories for Local Bounty Hunter jobs are:
$140 - $210/hr
Other
PTO
Posted 19 days ago
Key responsibilities
Red-team LLM-powered systems by testing for jailbreaks, prompt injection, data leakage, unsafe outputs, policy bypass, and other security vulnerabilities.
Write Python scripts to automate attacks, run prompt sets, call model APIs, collect responses, and generate reports.
Turn model failures into clear reports, including reproduction steps, severity, and remediation suggestions.
Job description
TLDR: We're looking for an AI Red Team Engineer to break LLM-powered systems responsibly, automate the repetitive attacks, and turn their findings into clear evidence that powers customer demos, security reviews, and sales conversations. You'll own hands-on adversarial testing end to end: find the failure, prove it, script it, and write it up.
About usWhite Circle is an AI Safety company building the safety, reliability, and optimization layer for AI systems. At the core of our platform are policies – simple natural-language rules that define what an AI model should and shouldn’t do. We automatically test, enforce, and continuously improve these policies at scale.
- We’ve raised $11M from top funds, founders, and senior leaders at OpenAI, Anthropic, HuggingFace, Mistral, DeepMind, Datadog, Sentry, and others
- We process over one hundred million API calls every month
- We fine-tune and train our own LLMs so they run faster and cheaper than any open or proprietary model
We’re a small, highly focused team. If you want to work deeply on hard problems, see your work ship to production quickly, and influence how AI safety is actually built – you’re the one we need.
You will:- Red-team LLM-powered systems: chatbots, copilots, RAG pipelines, AI agents, tool-calling workflows, and API-based AI products.
- Test for jailbreaks, prompt injection, system-prompt and tool leakage, sensitive-data and context leakage, unsafe outputs, policy bypass, tool misuse, excessive agency, resource and token-cost abuse, and business-logic abuse.
- Write lightweight Python to automate attacks, run prompt sets, call model APIs, collect and score responses, and generate repeatable reports.
- Build and maintain an internal attack library: prompts, scenarios, test cases, regression tests, scoring rubrics, and reusable demo cases.
- Turn model failures into clear reports: what happened, why it matters, how to reproduce it, how severe it is, and how to fix it.
- Convert successful attacks into regression tests and product requirements.
- Track new red-team and safety techniques and fold the useful ones into our tests.
- Support GTM by producing strong, credible evidence for customer demos, security reviews, and sales conversations.
- Genuinely love breaking things and reasoning adversarially.
- Have a background in QA automation, AppSec, API/security/pen testing, or bug bounty.
- Have strong Python scripting skills.
- Have experience testing APIs, web apps, backends, or SaaS products.
- Are hands-on with LLMs, prompts, system instructions, RAG, agents, and tool/function calling.
- Understand LLM-specific abuse vectors (prompt injection, jailbreaks, data leakage, tool misuse, excessive agency, token-cost exhaustion).
- Can find bypasses, abuse edge cases, chain failures, and reason about real-world impact.
- Can separate real customer risk from low-impact prompt tricks.
- Write clear, reproducible bug reports in clear English.
- Can move fast without perfect requirements.
- Hold a firm ethical line: you red-team to make systems safer, operate within scope and the law, and don't produce or traffic in genuinely harmful material.
- Experience with Burp Suite, Postman, Playwright, pytest.
- Experience with modern LLM red-teaming automated agents and pipelines.
- Familiarity with LangChain, LangGraph, LlamaIndex, RAG pipelines, AI agents, tool/function calling, and LLM-as-judge evaluation.
- Familiarity with OWASP LLM Top 10, OWASP Web Top 10, MITRE ATLAS, or other AI security taxonomies.
- Experience testing RAG systems, AI agents, tool-calling workflows, browser agents, or internal copilots.
- Experience writing customer-facing security reports.
- Experience with trust & safety, abuse prevention, fraud, moderation, or platform security.
- Experience building eval pipelines, regression suites, dashboards, or CI-friendly security tests.
- A track record in CTFs, red-team competitions, or responsible-disclosure / bounty programs.
- Paid time off in line with your local regulations, no matter where you work from
- Meaningful equity package
- All the hardware, tools, and services you need
- Covered subscriptions for AI agents
- Team off-sites twice a year: we've recently been to the Alps and to Saint-Tropez
- Intro call with HR (25 min)
- Take-home test task
- Technical interview (60 min)
- Final call with CEO (45 min)
Please submit your application in English