The Software Engineering roles open on Alignerr today. For the same field across every platform, see all Software Engineering jobs.
Pay figures cover the 106 open jobs that publish an hourly rate in USD. They are published rates, not a guarantee of income. Last checked on October 8, 2026.
This role involves analyzing cyber attacks, adversary tactics, and exploitation chains to produce structured assessments that help AI systems understand cybersecurity threats better. It is designed for experienced offensive security professionals who can evaluate threat behaviors and translate complex technical findings into clear documentation.
This role involves analyzing security vulnerabilities and threat scenarios in AI systems and large language models to identify weaknesses and recommend mitigations. Security professionals will conduct adversarial testing, evaluate real-world attack scenarios, and provide structured feedback to improve AI safety and resilience.
An experienced penetration tester will conduct offensive security assessments against AI-powered applications, infrastructure, and machine learning pipelines to identify vulnerabilities including prompt injection, model manipulation, and data poisoning attacks. The role involves simulating real-world attack scenarios, documenting findings with remediation guidance, and evaluating AI-specific security risks in a fully remote, flexible contract engagement.
This role involves conducting penetration tests and security assessments on AI-powered applications, infrastructure, and machine learning pipelines to identify vulnerabilities and weaknesses before malicious actors exploit them. The position suits experienced offensive security professionals who can work independently on contract-based engagements to stress-test AI systems and document findings with clear remediation guidance.
Penetration testing experts are needed to identify security vulnerabilities in AI-powered applications and infrastructure through offensive security testing. This remote contract role combines traditional penetration testing methodologies with emerging AI-specific attack scenarios such as prompt injection and model manipulation.
Join an AI red team as a penetration testing expert to identify vulnerabilities in AI-powered applications and infrastructure through offensive security testing. This remote, flexible role involves conducting penetration tests, simulating attacks, and evaluating AI-specific security risks to help secure AI systems at scale.
This role involves red-teaming and security testing of AI models to identify vulnerabilities and safety issues before deployment. The position is ideal for cybersecurity professionals who want to apply adversarial thinking and penetration testing skills to AI systems used at scale.
This role focuses on stress-testing and securing AI models by identifying vulnerabilities through red-teaming and adversarial testing. The position suits cybersecurity professionals who want to apply penetration testing and ethical hacking expertise to emerging AI security challenges.
This role involves conducting penetration tests and security assessments on AI-powered applications, infrastructure, and ML pipelines to identify vulnerabilities and attack vectors. The position suits experienced offensive security professionals who want to work on cutting-edge AI security challenges while maintaining flexibility as an independent contractor.
This role involves conducting penetration tests and security assessments on AI-powered applications, infrastructure, and machine learning pipelines to identify vulnerabilities and attack vectors. The position is ideal for experienced offensive security professionals who want to apply their hacking expertise to emerging AI security challenges in a fully remote, flexible contract setting.
This role involves conducting security testing and red-teaming exercises on advanced AI models to identify vulnerabilities, design adversarial prompts, and evaluate safety failures. The specialist will document findings and collaborate with engineering teams to strengthen AI system resilience and reliability.
This role involves analyzing real-world application security scenarios and creating training datasets to teach AI models how to assess software vulnerabilities. You will evaluate code, APIs, and system behavior to distinguish genuinely exploitable risks from theoretical findings, providing structured analysis that helps frontier AI systems learn to reason about application security with the nuance of experienced engineers.
This role involves designing and building server-side systems, APIs, and data pipelines for AI infrastructure. Back end developers will optimize scalable microservices and databases to support AI training and inference workloads on a remote, flexible contract basis.
This role involves designing and optimizing high-performance C backend systems and data pipelines for AI model training and evaluation. The position is ideal for experienced full-stack engineers who want to build production-grade infrastructure used by leading AI research organizations.
This role involves designing and optimizing Python-based backend systems for data annotation, validation, and AI model training infrastructure. The position requires a senior full-stack engineer to build high-performance data pipelines, asynchronous task queues, and evaluation systems used by leading AI labs.
This role involves evaluating and providing feedback on AI-generated Python code for correctness, efficiency, and security while designing complex backend algorithmic solutions. It is designed for experienced backend Python developers who want to contribute to cutting-edge AI research by helping train the next generation of AI systems to write better code.
This role involves evaluating and providing feedback on AI-generated Python code while designing complex algorithmic challenges to test AI reasoning capabilities. Senior Python developers will work remotely on flexible contracts to help advance AI systems' ability to write and understand production-level code.
This role involves evaluating and providing feedback on AI-generated Rust code to help improve AI systems' understanding of systems-level programming. You will review code for correctness, memory safety, and performance, working independently on a flexible remote contract basis.
This role involves reviewing and evaluating AI-generated Rust code to ensure correctness, memory safety, and systems-level performance. Experienced Rust engineers will assess the quality of AI outputs, design challenging problems to test AI understanding, and provide structured feedback to improve how AI models reason about systems programming.
This role involves building and optimizing high-performance backend systems and tooling in Rust to support AI data pipelines, annotation workflows, and evaluation systems. You will work on production infrastructure that powers advanced AI model training, collaborating with research and engineering teams on scalable solutions.
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FAQ
106 Alignerr Software Engineering jobs are open on SideHustler today. Listings are rechecked against the official postings: the latest check on this list was on October 8, 2026.
Among the 106 open roles that publish an hourly rate in USD, pay runs from $15 to $120 per hour, with a median of $63. These are the rates the platforms publish, not a guarantee of income or hours.
The most requested areas of expertise on these listings are AI Evaluation, Code Quality & Review, Backend Development, System Design, Python. Each listing states its own requirements.
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