Security Engineer - AI Training Fellowship
Listing checked September 18, 2026 · pay as published by Handshake AI
Overview
Handshake AI hires experienced security engineers and offensive security pros for a part-time fellowship. You will apply hands-on knowledge of penetration testing, malware analysis, red team operations, and tools like Burp Suite to review AI-generated content and build training data. No AI background is required. The work is remote, asynchronous, and project-based, with most contributors logging 5 to 20 hours each week during active projects. Placement depends on current project needs, and strong contributors may be considered for future projects.
What You'll Do7
- 1Evaluate AI responses that explain penetration testing methods, attack paths, and security workflows for factual accuracy.
- 2Create expert-level training examples from your daily use of Burp Suite, Nmap, Metasploit Framework, or similar offensive security tools.
- 3Review AI output on threat hunting, malware analysis, and red team tactics, then flag errors or missing context.
- 4Compare AI-generated vulnerability findings and exploitation steps against real-world security engineering practice.
- 5Provide written feedback that corrects technical mistakes and shows how a seasoned practitioner would approach the same task.
- 6Assess AI explanations of tool output from Wireshark, BloodHound, Impacket, Nessus, or Hashcat for relevance and depth.
- 7Document examples that help AI models understand common offensive security scenarios and defensive responses.
Requirements5
- 1At least 3 years of professional work in security engineering or offensive security.
- 2Background in one or more roles such as security engineer, penetration tester, red team engineer, malware analyst, threat hunter, threat intelligence analyst, offensive security engineer, vulnerability researcher, or security consultant.
- 3Hands-on command of at least one tool from this list: Burp Suite, Nmap, Wireshark, Metasploit Framework, BloodHound, Impacket, Nessus, or Hashcat.
- 4Ability to judge whether AI-written security explanations match real offensive security practice.
- 5No prior AI, machine learning, or data annotation experience needed.
Who Should Apply
The strongest fit is a security engineer, penetration tester, or red team engineer with 3 or more years of hands-on offensive security work and daily comfort with tools like Burp Suite, Nmap, Metasploit Framework, or BloodHound. This role suits professionals who can explain attack techniques and tool output in plain written form and who want flexible project work alongside a current job. Candidates with only academic lab experience, no professional security title, or no direct tool use will struggle to meet the core bar. A common low-fit signal is listing security certifications without showing actual engagements, malware cases, or red team operations. Another is applying for permanent full-time hours or guaranteed weekly work, since this fellowship depends on active project needs and has no minimum hour requirement.
Salary Insight
The posting advertises up to $80.00 per hour. That rate sits at the high end for part-time AI training work and matches experienced offensive security contractors who bring deep tool knowledge in areas like penetration testing, red teaming, or malware analysis. Because the project has no minimum hours, your weekly pay depends on how many hours you commit during an active project. Exact offers can vary with project scope and your specific security background.
Pay and demand for AI Training roles
AggregatedTypical pay
$70/hour
This role
up to $80/hr
Most AI Training roles pay $40–$98 per hour. This role's pay falls inside that range.
Based on 1,046 similar roles that publish pay · 302 publish only a top rate; those count at the rate they gave
Rates shown per hour. Yearly and monthly pay converted; one-time fees and non-USD pay are not included.
- Live similar roles
- 1,207
- Listed in last 30 days
- 455
- Remote
- 98%
Hiring most right now: micro1 (346) · SME Careers (253) · Mercor (147)
Most requested skills · share of roles
- ai training13%
- llm evaluation12%
- ai evaluation11%
- data annotation9%
Figures from AI Training roles live on NearSkill when this page loaded. A role can close before you apply, so check the listing itself.
Compare your resume against these rolesLocation
Compensation
Up to $80/hr
Required Skills
Application Tip
Name the exact offensive security tools from the listing, such as Burp Suite, BloodHound, Impacket, or Hashcat, and pair each with a concrete outcome like a number of penetration tests, red team engagements, or vulnerabilities found. Also state your years of professional security experience and use role titles that match the source, such as penetration tester, red team engineer, or malware analyst.
How NearSkill helps you apply
1. Check your job match
We compare your resume with the job requirements to help you understand how well your experience fits.
2. Continue to the employer’s website
We’ll direct you to the employer’s application portal, where you can complete the application.
3. Get updates by email
If NearSkill is handling follow-up for this role, we’ll email you when there’s an update on your screening.
Want to check your fit first?
See how your resume matches this role before applying.
Check my job matchSimilar open positions
Explore active roles that match your skills and interests.
AfterQuery
VerifiedSecurity Engineer - Cryptanalysis (Remote Contract)
AfterQuery is assembling a research cohort of senior security specialists to test how frontier AI models handle advanced problems in cryptanalysis and reverse engineering. The work centers on evaluation, not production engineering. You will define what a correct or excellent answer looks like for problems you already solve in practice, then judge model output against that bar. The project runs remote and asynchronous, with flexible hours that fit around your current role. Candidates with 6 to 10 years of security experience and a Bachelor's degree, with a Master's preferred, move to the front of the review queue.
Handshake AI
VerifiedProduction Engineer - Remote AI Fellowship
Handshake AI seeks production engineers and related energy specialists to review AI-generated material and shape training data for models used in subsurface work. You will apply hands-on knowledge of reservoir engineering, subsurface analysis, and production operations to judge whether AI responses match real industry practice. The engagement runs as a part-time fellowship with remote, asynchronous hours, so you can fit it around another role. No AI background is necessary, and active projects ask for about 5 to 20 hours per week.
Handshake AI
VerifiedEngineering Professional - AI Fellowship
Handshake AI hires experienced engineers for a part-time fellowship that sharpens how AI models handle professional engineering work. You will write industry-specific prompts and review LLM responses for accuracy, safety, and technical depth. The role is remote and asynchronous, with flexible hours and no minimum weekly commitment. Projects open across mechanical engineering, electrical engineering, and biomedical engineering throughout the year, and placement depends on current project availability.
Handshake AI
VerifiedTechnical Writer - Remote AI Fellowship
Handshake AI hires experienced technical writers and documentation specialists for project-based work that improves how AI models handle technical writing. The role differs from a traditional full-time documentation job: you use your professional editing and content creation background to evaluate AI-generated content, checking accuracy, documentation structure, clarity, consistency, voice, and tone while creating expert training data. Prior AI experience does not matter. Projects use a flexible, asynchronous schedule, and most contributors log about 5 to 20 hours per week when a project is active. Placement depends on current project needs.
Handshake AI
VerifiedEngineering Expert - Remote AI Fellowship
Handshake AI brings together PhD and master's level engineers, with a focus on hardware engineering, to sharpen how large language models handle specialized technical subjects. The AI Fellowship runs all year, and project openings shift by domain and availability. Fellows work on a remote, asynchronous schedule for about 10 to 20 hours each week. Typical project tasks include writing domain-specific prompts and judging LLM responses, while also researching topics that matter to your field with AI tools at your side. The program accepts U.S.-based doctoral students, postdocs, and recent graduates who hold valid work or training authorization.
Handshake AI
VerifiedProcess Safety Engineer - Remote Fellowship
Handshake AI seeks energy industry professionals for part-time, remote project work that improves AI models. You will use your background in process safety, EHS, and energy regulatory compliance to review AI-generated content and judge how well it reflects real EHS workflows. The project asks for hands-on knowledge of tools such as VelocityEHS, ServiceNow, and Synergi Pipeline, and no prior AI experience is needed. Work runs on an async schedule with no minimum hours; most contributors take on 5 to 20 hours per week during active projects. Placement depends on current project needs, with chances to join later projects.