AI Researcher (RL)

Job Title: AI Researcher (RL)

Job Type: Full-time, Core Team

Location: Remote

About Us:

The AI platform for human intelligence—we build models that rigorously vet PhDs and scale human data training for frontier LLMs.

Our agent, Zara, autonomously sources and evaluates researchers and data trainers—powering post-training (RLHF, evals, red-teaming) for top AI labs.

Now building a research team to break new ground in RL — setting the pace for the next wave of AI alongside our AI Lab customers.

Job Summary

Join our team as our lead AI Researcher, specializing in Reinforcement Learning Environments. You will establish and lead our growing research department, setting the vision and strategy for how we design, build, and scale the next generation of RL environments. With nearly every major AI Lab among our customers, this role is pivotal in shaping how our company contributes to the global AI research ecosystem.

What You'll Do

• Build and lead the research team, defining priorities, mentoring talent, and cultivating a world-class research culture.
• Drive research initiatives in RL environments, from foundational design to deployment in large-scale applications.
• Partner with AI Labs, industry leaders, and internal stakeholders to align research with cutting-edge customer needs.
• Publish and present high-impact work in academic and industry venues, reinforcing our reputation as a trusted research partner.
• Guide the long-term research roadmap, ensuring our efforts advance both science and our business strategy.
• Translate research insights into actionable product strategies that elevate our technology and customer offerings.
• Stay ahead of the curve by monitoring advancements in RL, simulation, and AI, and applying them to our environment frameworks.

What We're Looking For

• Proven expertise in RL environments (simulation frameworks, benchmarks, or environment design) with a strong portfolio of research or applied projects.
• Demonstrated leadership experience in building or guiding research teams, either in academia or industry.
• Recognized presence in the AI research community, with publications, talks, or impactful collaborations.
• Strong technical foundation in Python and RL/simulation tools (e.g., OpenAI Gym, Mujoco, Isaac Gym, Unity ML-Agents).
• Excellent communicator, able to represent the team with clarity and authority to both technical and executive audiences.
• Self-motivated and highly comfortable in a remote, dynamic, and high-stakes environment.

Preferred Qualifications

• PhD in Computer Science, Machine Learning, or related field (or equivalent experience leading applied research).
• Contributions to open-source RL environments or collaborations with leading AI Labs.
• Track record of thought leadership in the AI community (e.g., invited talks, workshops, or keynote sessions).