Member of Technical Staff Offline

ARIMLABS has recently started collaborating with one of the world’s leading AI labs on a project focused on improving the ability of modern AI models to solve complex, practical engineering problems.

As a result, we are looking for strong engineers to join our team.

Core responsibility:

Designing complex tasks across different technical domains — Software Engineering, SRE, DevOps, and Cybersecurity — for the further training and evaluation of state-of-the-art AI models.

What you will do:

• quickly dive into new technical domains and work through non-trivial problems;
• run, compile, debug, and adapt third-party projects;
• integrate APIs, SDKs, and other tools;
• work with code, tooling, infrastructure, and automation;
• interact with agentic systems or the environments built around them;

Who we are looking for:

We care less about narrow specialization or years of corporate experience, and more about genuine interest in complex technical problems, a strong engineering foundation, adaptability, and the ability to quickly get up to speed in new areas.

Approximate profile:

• a versatile engineer who can take on a wide range of tasks at a basic to intermediate level;
• someone comfortable working with other people’s code, non-standard libraries, tooling, or infrastructure;
• a specialist with practical or conceptual understanding of agentic systems such as LangChain, AutoGen, CrewAI, or similar approaches;
• Experience in complex technical areas is a major plus, including compilation, DevOps, SRE, systems programming (C/C++/Rust/low-level), infrastructure administration, reverse engineering, data / ML tooling, and related fields.

Nice to have:

• CTF/research experience, or pet projects;
• an unconventional technical background;
• the ability to independently arrive at solutions in conditions of incomplete information.

Terms:

• Compensation is task-based. Your total income depends on the number of completed tasks, your pace, and your level of involvement.
• Realistic range: $1,500 to $5,000+.
• Work format: global remote, B2B - details can be discussed.
• The schedule is highly flexible, but the pace is fast.
• The first weeks involve active onboarding, so a higher level of engagement is expected at the start.

This is not exactly a “regular job,” but rather an intensive engineering collaboration at the intersection of R&D, hands-on engineering, and rapid learning.

This role is best suited for people who enjoy learning quickly, experimenting, and solving complex, unconventional problems.