AI training contract
App Security Expert
Cybersecurity · USD 40-80 an hour. · 10 openings
App Security Expert is contract work for micro1, reviewing and correcting what AI models produce in cybersecurity. The output of the job is expert judgement written down: a model gives an answer, someone who knows the subject decides whether it is right and explains why.
What it requires. No credential is stated on this listing beyond experience in the field.
What it pays. USD 40 to USD 80 an hour, as published by micro1. Rates in this category track how rare the credential is rather than how hard the work is.
Where. The listing says this role is remote and names no country. micro1 says it hires talent from around the world, except people who reside in Afghanistan, Belarus, China, Cuba, Democratic Republic of the Congo, Hong Kong, Iran, Iraq, Libya, Macao, Myanmar, North Korea, Russian Federation, Somalia, South Sudan, Sudan, Syria, Venezuela, Ukraine, Yemen, and Ethiopia. So this page lists every other country as eligible, on the strength of that rule and not of anything this listing says. Requirements can still differ by role, so check the application page on micro1 before you apply.
micro1 lists 10 openings on this role.
Skills named: OSWE, LLM security, AI-SAST evaluation, AppSec, Agent security architecture.
Applications are made on micro1, not here. WFA Digital is independent of micro1 and may receive a referral fee if you are hired, at no cost to you.
Full listing, as published by micro1
Role Title: App Security Expert Role Type: Contractor Location: Remote micro1 is engaging App Security Experts to contribute to a customer’s dynamic project focused on real-world application security. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters. Scope of Work Design and implement small, purpose-built application fixtures with embedded security vulnerabilities or secure solutions, specifically addressing OWASP LLM risks such as Sensitive Information Disclosure and Excessive Agency. Develop deterministic test cases and security-context manifests to robustly assess application security posture. Create detailed hidden answer keys to enable accurate AI or scanner evaluation of vulnerable versus secure code. Evaluate and iterate on pipeline methodologies to ensure synthetic tasks and fixtures are challenging yet realistic for AppSec assessment. Document technical insights and methodologies, ensuring clarity in written feedback and communication. Collaborate through clear and thorough written and verbal communication to share findings and review peer contributions. Engage with agent-based security architecture and contribute to continuous improvement of the evaluation pipeline. Preferred Qualifications Extensive experience (ideally 5+ years) in application security, secure software development, or CyberSWE roles. Strong understanding of OSWE, LLM security, AI-powered static analysis (AI-SAST), and AppSec best practices. Proven track record designing or evaluating security architecture for traditional and agent-based applications. Expertise in building, securing, and testing application codebases, including identifying and remediating advanced vulnerabilities. Exceptional written and verbal communication skills, with a focus on precise technical documentation and collaborative feedback. Experience with synthetic security fixtures and deterministic testing approaches is highly desirable. Demonstrated ability to deliver thoughtful insights and actionable security recommendations in a remote contribution context.
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Rate, openings and requirements checked 2026-10-19 against micro1's own public postings.