AI Product Operator (Night Shift)

About the role

Niural is a global payroll, employer of record, agent of record and contractor management platform. Its AI Labs team builds the Learning Gym: environments, reward functions and evaluation harnesses where AI agents are trained and measured on real payroll work. The AI Product Operator is a generalist who builds the Gym, trains agents and writes first-author research papers from the work done, working a permanent night shift on US hours.

Key responsibilities

• Build sandboxed, seeded and replayable environments that wrap real Niural workflows, with difficulty knobs and curriculum structure
• Generate synthetic data, since real customer payroll data cannot leave the company's systems
• Design programmatic verifiers and score trajectories rather than final answers, guarding against reward hacking and contamination
• Run reinforcement learning training, establish honest baselines, run ablations and publish negative results internally
• Run one- to two-week spikes on agent architectures, memory strategies and tool use, then hand working prototypes to the teams building production agents
• Write first-author research papers, internal technical reports, and represent the work externally through preprints, talks and possibly open-sourced environments

Required profile

• A published, peer-reviewed paper at a conference or in a journal, with clear account of your contribution
• Foundational knowledge of AI and machine learning, including how training works
• Evidence of impactful work: a built project, a cited result, an open-source project with users, or a system that changed a decision at your company
• Willingness to work a permanent night shift on US hours

Required skills

• Strong Python, including NumPy and the scientific stack
• Engineering strength: APIs, databases, queues, Docker, deployment, logging and debugging
• Agent systems, harnesses, tool use and multi-step workflows
• Reinforcement learning literacy and reproducibility as a habit

What we offer

• Competitive salary package
• Continuous learning and career advancement programs, with mentorship and coaching
• Complimentary snacks and lunch during the shift
• MacBook Pro and high-performance monitor provided
• Fast-track admission to US university Masters in CS for selected candidates, and visa sponsorship for high performers

To apply, send your CV, a link to your published paper with three sentences on your personal contribution, and a link to something you built.