--- title: Research Engineer, Evals & RL Environments description: Nolla Health is hiring for the Research Engineer, Evals & RL Environments role in New York, NY. See the full description and apply. type: job url: https://www.foundrole.com/jobs/founding-research-engineer-at-nolla-health-01a0e029-44ef-7189-9b23-d6a10aec9973 date: 2026-11-15T01:26:44Z og_description: Join Nolla Health as Research Engineer, Evals & RL Environments in New York, NY. Pays $180K–$240K per year. Full-time, on-site role. og_image: https://www.foundrole.com/og/y0rrto.png breadcrumbs: - label: Home url: https://www.foundrole.com/ - label: Search url: https://www.foundrole.com/jobs --- | | | |---|---| | **Company** | Nolla Health | | **Location** | New York, NY | | **Salary** | $180K/yr - $240K/yr | | **Type** | Full Time | | **Posted** | Sep 27, 2026 | ## Is this job real? **Ghost job check:** A- · Low risk. Probably a real opening. ## Visa sponsorship - **H-1B:** No H-1B sponsorship on record for Nolla Health. - **E-Verify:** No E-Verify enrollment on record for Nolla Health. ## Pay for similar jobs Most similar jobs pay $64,000 – $222,000 a year (median $190,000). ## Description New York City · Full-time ## Build the environments that teach us what healthcare AI can do—and where it needs to improve. At Nolla Health, we’re building AI-powered healthcare. To improve the systems involved in delivering care, we need realistic ways to test them: cases that unfold over time, tools an agent can use, and clear criteria for judging what happens. We’re looking for a research engineer to build evaluation harnesses, simulated environments, and data pipelines that turn clinical knowledge and appropriately governed data into useful evaluation and training assets. You’ll work with engineers and clinicians to define tasks, build the systems that run them, and make the results trustworthy. The work will support our own agents and models, with the opportunity to develop benchmarks and environments for external AI teams. ## What you'll do - Build harnesses that run agents through reproducible tasks, capture their actions, and make failures easy to investigate. - Develop multi-step and multi-visit environments with patient state, clinical tools, and realistic consequences for an agent’s decisions. - Work with clinicians to turn clinical workflows into well-defined tasks, rubrics, and success criteria. - Build data pipelines for preparing, validating, versioning, and tracing evaluation and training datasets. - Develop scoring and reward mechanisms, combining programmatic checks, model-based grading, and clinician review where appropriate. - Test graders and environments for ambiguity, shortcuts, data leakage, and reward hacking. - Run experiments, analyze trajectories, and identify whether changes improve performance across meaningful slices of cases. - Work with our applied AI engineer to turn evaluation findings into product improvements. - Build with privacy, access controls, and permitted data use in mind. ## What you bring - Strong programming skills and experience building reliable software for experiments, data processing, or agent systems. - Hands-on experience building an agent evaluation harness, an RL environment, or closely related infrastructure. - The ability to translate an open-ended problem into a runnable task with measurable outcomes. - Careful judgment about data quality, reproducibility, grading reliability, and what a benchmark result actually supports. - Comfort debugging across datasets, environment state, agent behavior, and scoring code. - The ability to work with clinicians and turn domain expertise into precise specifications and tests. - Evidence of independent execution through shipped systems, research implementations, open-source work, or projects you’ve owned. We expect many candidates to have roughly two to six years of relevant experience, but we’re flexible for someone with exceptional work. Research experience is valuable; you should also enjoy building and maintaining the systems behind the experiments. ## Bonus points - RL environments, simulated tool use, or long-horizon agent benchmarks. - Synthetic data generation, human review workflows, or dataset quality systems. - Reward design, model-based graders, and validation against expert judgments. - Building evaluation or training data products for AI labs. - Healthcare data, clinical reasoning evaluations, or longitudinal patient workflows. Healthcare experience is welcome, but it isn’t required. Curiosity about the domain and a willingness to work closely with clinicians matter. You’ll help define how we measure progress toward AI that can support care over time. Your work will make it possible to investigate failures, compare approaches, and build training signals grounded in realistic tasks. You’ll own both the experimental design and the engineering needed to make it useful, with room to shape a new area of work at Nolla. We’d ideally like you to be based in New York City. ## **Role logistics, compensation & benefits** - **Role Type:** Engineering - **Salary:** $180,000–$240,000, based on experience - **Job Type:** Full-time - **Work Setup:** New York City preferred - **Equity:** Meaningful equity, commensurate with experience - **Health Insurance:** Medical, dental, and vision - **HSA/FSA:** Eligible - **Time Off:** Flexible, unlimited vacation - **Additional Perks:** Meal stipends, team retreats - **Work Hours:** Flexible but demanding. We're building something that matters - **Growth:** Founding team members step into expanded roles as we scale ## Skills - Debugging - Synthetic Data Generation - Data Annotation - Open-Source Software - Access Controls - Mechanical Systems - Artificial Intelligence - Applied AI - Distributed Tracing - Evaluation Harness - Clinical Workflow Management - Climbing Equipment - Software Versioning - Healthcare Data Analysis - Tool Calling - Clinical Reasoning - Data Quality - Reinforcement Learning - Assessment Rubric Development - Equities - Data Processing - Data Pipeline ## Benefits - Health Insurance - Dental Insurance - Vision Insurance - Paid Time Off (Pto) - Tax-Advantaged Accounts ## Related - [Science & Research jobs](https://www.foundrole.com/careers/science-and-research?utm_source=ai_markdown)- [Biomedical & Population Health Research jobs](https://www.foundrole.com/careers/science-and-research/biomedical-and-population-health-research?utm_source=ai_markdown)- [Research Scientist jobs](https://www.foundrole.com/careers/science-and-research/biomedical-and-population-health-research/research-scientist?utm_source=ai_markdown)- [Browse all companies](https://www.foundrole.com/companies?utm_source=ai_markdown) ## Explore this job market - [New York](https://www.foundrole.com/locations/us/new-york?utm_source=ai_markdown) — 150102 jobs - [New York, NY](https://www.foundrole.com/locations/us/new-york/new-york?utm_source=ai_markdown) — 66066 jobs - [Medical Practices](https://www.foundrole.com/sectors/healthcare/medical-practices?utm_source=ai_markdown) — 39822 jobs ## Related pages - [New York](https://www.foundrole.com/locations/us/new-york?utm_source=ai_markdown) — 150102 jobs - [New York, NY](https://www.foundrole.com/locations/us/new-york/new-york?utm_source=ai_markdown) — 66066 jobs - [Medical Practices](https://www.foundrole.com/sectors/healthcare/medical-practices?utm_source=ai_markdown) — 39822 jobs ## Browse - [Companies](https://www.foundrole.com/companies?utm_source=ai_markdown) - [Jobs by country](https://www.foundrole.com/locations?utm_source=ai_markdown) - [Jobs in the United States by state and city](https://www.foundrole.com/locations/us?utm_source=ai_markdown) - [H1B sponsors by location](https://www.foundrole.com/h1b-sponsors?utm_source=ai_markdown) - [H1B salaries](https://www.foundrole.com/h1b-salaries?utm_source=ai_markdown) - [Sectors and industries](https://www.foundrole.com/sectors?utm_source=ai_markdown) - [Jobs by career field](https://www.foundrole.com/careers?utm_source=ai_markdown) - [Latest jobs](https://www.foundrole.com/jobs/latest?utm_source=ai_markdown)