Description review
Application Security Engineer (AppSec)
micro1 · Remote · back to the listing
HR standards
77/100
solid
Title ↔ description
38/100
poor
Reads as
Backend Engineer
88% confident
What this role officially is
software developer — ESCO, the EU occupation classification
Software developers implement or program all kinds of software systems based on specifications and designs by using programming languages, tools, and platforms.
Also known as: application developer, application programmer, solutions developer, programmer, software specialist, application software developer
How others title the same work
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Startups
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The listing, marked up
Nothing in the wording of this listing tripped a check. The scores above still judge how complete and coherent it is.
Job Type: Contractor (~15 hrs a week)
Location: Remote
Schedule: Flexible, you pick the hours and days (including weekends if desired)
Job Summary: 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.
You'll create realistic, interesting and challenging coding tasks for AI to solve involving feature implementation and bug fixes, and implement deterministic verifiers that accept reasonable valid solutions and reject everything else.
What we're looking for
• Strong backend experience in Java, Node.js, Go, Rust, Typescript, Python, C++ or similar
• A track record building scalable services and APIs
• Comfort with debugging, performance work and automated testing
• Solid code review instincts
• A cybersecurity or SecOps background is a big plus — secure coding, appsec, pentesting, vulnerability assessment, OWASP/CWE, or security-focused reviews.
Preferred Qualifications
• Proven experience in backend development, with a track record of delivering high-quality and performant projects.
• Background in cybersecurity, such as penetration testing, vulnerability assessment, or security code reviews.
• Demonstrated success in identifying and resolving software bugs and system bottlenecks.
• Experience with codebase refactoring and implementing complex features in large-scale applications.
• Strong understanding of algorithms, data structures, and foundational computer science concepts.
• Excellent analytical, problem-solving, and technical communication skills.
A note on the process: our interview and assessment stages are designed to see how you think, so we ask that you complete them without outside assistance. The same applies once you're on the project — the value of the work comes from your own judgment.
Process:
• Apply to the role, filling out the screening questions
• Complete AI Interview (approx. 30 minutes)
• Technical Assessment (Tentative)
• Hiring Manager review
Compensation Structure
Compensation is output-based; experts are paid per task that meets the project specifications. The time required to complete work may vary depending on the expert’s experience and workflow. Minimum submission requirements apply. Experts must submit a minimum of tasks per week.
Start Timeline & Availability
We typically fill roles within 48 hours and are looking for experts ready to jump in right away. If selected, we expect you to start your first tasks within 24–48 hours of completing onboarding.
Originally posted on Himalayas
Location: Remote
Schedule: Flexible, you pick the hours and days (including weekends if desired)
Job Summary: 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.
You'll create realistic, interesting and challenging coding tasks for AI to solve involving feature implementation and bug fixes, and implement deterministic verifiers that accept reasonable valid solutions and reject everything else.
What we're looking for
• Strong backend experience in Java, Node.js, Go, Rust, Typescript, Python, C++ or similar
• A track record building scalable services and APIs
• Comfort with debugging, performance work and automated testing
• Solid code review instincts
• A cybersecurity or SecOps background is a big plus — secure coding, appsec, pentesting, vulnerability assessment, OWASP/CWE, or security-focused reviews.
Preferred Qualifications
• Proven experience in backend development, with a track record of delivering high-quality and performant projects.
• Background in cybersecurity, such as penetration testing, vulnerability assessment, or security code reviews.
• Demonstrated success in identifying and resolving software bugs and system bottlenecks.
• Experience with codebase refactoring and implementing complex features in large-scale applications.
• Strong understanding of algorithms, data structures, and foundational computer science concepts.
• Excellent analytical, problem-solving, and technical communication skills.
A note on the process: our interview and assessment stages are designed to see how you think, so we ask that you complete them without outside assistance. The same applies once you're on the project — the value of the work comes from your own judgment.
Process:
• Apply to the role, filling out the screening questions
• Complete AI Interview (approx. 30 minutes)
• Technical Assessment (Tentative)
• Hiring Manager review
Compensation Structure
Compensation is output-based; experts are paid per task that meets the project specifications. The time required to complete work may vary depending on the expert’s experience and workflow. Minimum submission requirements apply. Experts must submit a minimum of tasks per week.
Start Timeline & Availability
We typically fill roles within 48 hours and are looking for experts ready to jump in right away. If selected, we expect you to start your first tasks within 24–48 hours of completing onboarding.
Originally posted on Himalayas