About this role
Role Overview
Build high-value partnerships with leading AI labs and advanced enterprise teams developing frontier models. This remote, full-time role focuses on model evaluation systems, reinforcement learning environments, and human data programs that improve AI model performance.
Key Responsibilities
- Source and close partnerships with AI labs and machine-learning-driven organizations working on frontier models.
- Lead technical discovery across evaluation workflows, RLHF pipelines, and model-improvement loops.
- Work directly with research leaders, ML engineers, and data teams to understand system constraints and requirements.
- Turn ambiguous research and engineering needs into clearly scoped human-data and evaluation programs.
- Structure and negotiate complex agreements for data generation, annotation, and evaluation at scale.
- Partner with product, research, and operations teams to align delivery with technical expectations.
- Expand client relationships through deeper integration with evaluation pipelines and reinforcement learning environments.
- Provide clear insight into pipeline quality, deal risk, and market dynamics.
- Bring customer insights into evaluation frameworks, product direction, and go-to-market strategy.
Qualifications
- Ability to communicate effectively with ML engineers and research teams.
- Experience selling AI/ML, developer tools, or other deeply technical products.
- A strong record of closing complex, multi-stakeholder deals with both technical and commercial depth.
- Familiarity with model evaluation, RLHF, or reinforcement learning environments.
- A structured, hypothesis-driven approach to sales and problem solving.
- High initiative and comfort working in ambiguous, fast-moving environments.
- Preferred experience with human-data pipelines, including labeling, evaluation, synthetic data, or RLHF.
- Preferred exposure to frontier model development or benchmarking systems, AI labs, research organizations, advanced ML teams, and enterprise procurement for high-value technical deals.
Work Terms
- Full-time, remote position.
Compensation
- Listed annual compensation range: $220, 000 to $400, 000.
- National base-salary range: $140, 000 to $180, 000 USD.
- Employees are eligible for equity compensation and may receive performance-based bonuses, depending on role and company policy.
- Benefits include up to 100% reimbursement for health-insurance premiums, paid time off, a 401(k) plan with company match, and additional benefits supporting a remote-first workforce.
Eligibility
Qualified applicants receive consideration without regard to race, color, religion, sex, including pregnancy, sexual orientation, or gender identity, national origin, age, or disability.