# Senior Researcher at AssemblyAI

AssemblyAI is hiring a Senior Researcher for a remote role. It pays $270k-$310k a year and Level rates it Builds AI ●●●●; you can [apply on Level](https://jobsbylevel.com/go/7998ed3f-8225-42c0-89e1-c0089bd491f5?utm_medium=ai-agent).

AI Level 4, AI centrality 83 out of 100. Remote (Remote).

## Details

- Company: [AssemblyAI](https://jobsbylevel.com/companies/assemblyai)
- AI level: AI Level 4 (score 83 out of 100)
- Location: Remote (Remote)
- Salary: $270k-$310k
- Posted: September 1, 2026
- Apply: https://jobsbylevel.com/go/7998ed3f-8225-42c0-89e1-c0089bd491f5?utm_medium=ai-agent

## Prepare for this job

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## Description

Why AssemblyAI AssemblyAI builds the best-in-class Voice AI models powering the next generation of voice applications. Our models serve 600M+ inference calls monthly, process 1M+ hours of audio daily, and power 2 billion+ end-user experiences. The Voice AI space is at an inflection point; we’re looking for folks truly excited to join a small team and help define the future of the industry. We are one of the most capital-efficient AI companies on the planet - with under 100 people generating roughly $600K ARR per employee, we sit among the top 5 most revenue-dense teams within the fastest-growing AI companies today. That's not an accident; it's a deliberate choice to stay lean, move fast, and give every person on the team outsized ownership and impact. With thousands of customers including Granola, Fireflies, Figure AI, and CallRail, the company has real scale - processing over 2 million hours of audio daily and handling more than 1 million API calls every day. This is a rare growth-stage opportunity where the business is proven and the trajectory is steep, but the team is still small enough that your fingerprints are on everything. If you've ever felt buried under layers of bureaucracy, starved of real ownership, or frustrated watching your work disappear into a slow-moving org, AssemblyAI is built differently. The company operates as a true meritocracy, with no heavy planning or approval processes and no gatekeeping on the tools or information you need. For anyone who genuinely cares about voice AI, not as a trend to chase, but as a technology to build, this is the place where the most interesting problems at the most interesting scale are being solved by a team small enough that you'll actually know everyone's name. We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. No matter your race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply! About the Role You’ll join the team of researchers and engineers behind AssemblyAI’s foundational speech models. The team trains, fine-tunes, and analyzes these models, and builds the tooling to do that at scale. Your work will become the foundation for every customer around the world who builds Voice AI on our platform. We’re passionate about Speech AI and the real-world products it makes possible, and we know the field moves fast. Keeping our models ahead means problems can’t stall at team boundaries, so this role is cross-functional by design. You’ll work closely with research, infrastructure, and production engineering. Your job isn’t to hand problems off between those teams. You’ll learn enough of each domain to follow a problem all the way to resolution. What You’ll Do Research and develop new methods that push the frontier of Speech AI. Improve the data our models learn from: investigate quality issues, build tooling that surfaces them, and turn what you find into measurable accuracy gains. Analyze the accuracy of production models, build evaluation harnesses, and work out which improvements will matter most to customers. Partner with researchers and engineers to turn research prototypes into production-ready systems, modernizing model architectures and inference stacks along the way. Find and fix performance bottlenecks across our training stack. What You’ll Need Hands-on experience training or adapting (e.g., fine-tuning) frontier speech or multimodal language models. Discipline in measurement and analysis. You stay skeptical of results, whether they come from you or a coding agent, until they hold up. You treat an unexplained improvement as a problem and dig in until you understand it. Appetite for the whole pipeline. You bring deep expertise in your core area, but when a customer issue traces back to a data problem or an evaluation blind spot, you want to chase it down yourself. The people

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