Mercor

Mercor is seeking a Research Engineer Intern to work at the intersection of engineering and applied AI research. This role will focus on owning benchmarking pipelines, evaluation systems, and failure analysis workflows that directly inform how we train and improve frontier language models. Your work will be crucial in defining how we measure tool use, agentic behavior, and real-world reasoning. You will design and run evaluations, build rubrics and scorers, and translate failure analysis into actionable improvements for post-training, RLVR, and data pipelines.

Mercor is a leading AI data company that organizes human intelligence to power the AI economy. We build the layer between human expertise and frontier models, enabling millions of domain experts to train AI models. Our mission is to create a new category of work where expertise drives AI advancement, requiring an ambitious and fast-paced team working alongside researchers and AI companies at the forefront of technological change. Mercor is a profitable Series C company valued at $10 billion. As a Research Engineer Intern, you will work at the intersection of engineering and applied AI research. Your contributions will directly impact post-training, RLVR, synthetic data generation, and large-scale evaluation workflows for frontier language models. The work you do will be instrumental in training LLMs to master tool use, agentic behavior, and real-world reasoning in production environments. You will shape rewards, conduct post-training experiments, and develop scalable systems to enhance model performance, while also designing and evaluating datasets, creating data augmentation pipelines, and building rubrics and evaluators to push the boundaries of LLM learning.

Mercor is seeking an AI Infrastructure Engineer to build and manage the GPU and accelerator platform that powers our AI workloads. This role involves overseeing clusters, schedulers, training and inference serving, and the observability and cost data associated with fleet usage. You will write production code daily and own systems end-to-end, from design to on-call responsibilities. Mercor is a leading AI data company, building the layer between human expertise and frontier models, with a mission to organize human intelligence to power the AI economy. We are a profitable Series C company valued at $10 billion.

$200k - $400k

Mercor is seeking a Research Scientist Intern to contribute to cutting-edge research in AI. This role focuses on post-training techniques, reinforcement learning with verifiable rewards (RLVR), data generation, and model evaluation. You will investigate how different datasets, rewards, and training methods influence the capabilities and behavior of large language models. The internship involves designing experiments, developing new evaluation methodologies, analyzing model failures, and improving aspects like tool use, agentic behavior, and real-world reasoning. You will collaborate with researchers and domain experts, with the potential for your work to support publications and the development of advanced AI systems.

Mercor is a leading AI data company that organizes human intelligence to power the AI economy. We build the layer between human expertise and frontier models, enabling millions of domain experts to train AI models at scale. As a Tech Lead for the Applied AI Backend Systems, you will own critical services within our platform, focusing on designing data models, building APIs and services, and developing data pipelines that ensure reliable, fast, and observable operations. This is a hands-on build role where you will take ambiguous problems, make design decisions, ship to production, and mentor other engineers.

$250k - $500k

Mercor is a leading AI data company building the layer between human expertise and frontier models, organizing human intelligence to power the AI economy. The Applied AI organization focuses on building systems that transform human expertise into training data for advanced models, creating task pipelines, expert workflows, and evaluation infrastructure. This role involves owning and developing backend services within this stack, focusing on data models, APIs, and data pipelines that ensure correctness, speed, and observability as the platform scales. It's a hands-on build role where you'll take ownership from problem scoping through to production deployment and ongoing maintenance.

$220k - $500k

As a Research Scientist at Mercor, you will work at the intersection of research and engineering on frontier post-training. You will develop new training and evaluation methods, test them through rigorous experiments, and implement successful approaches at scale. Working with researchers, engineers, domain experts, and customers, you will investigate how data, rewards, environments, and optimization methods shape model behavior. Your work will influence frontier models, Mercor’s products, and the broader research community through releasing blogposts, technical reports, and papers.

$250k - $500k

Mercor is a leading AI data company building the layer between human expertise and frontier models. Millions of domain experts are paid daily to train frontier AI models, and Mercor Enterprise brings this infrastructure to Fortune 500 companies to capture and translate their best people's expertise directly into agents. This role is a foundational hire on a new Data Platform team, responsible for the infrastructure that every data-driven team at Mercor runs on, including Snowflake, Fivetran, Airflow, and Hex. You will own how data is organized, access controls, operational costs, and reliability, setting standards for other engineers.

$160k - $500k

Mercor is a leading AI data company that organizes human intelligence to power the AI economy. We are building the layer between human expertise and frontier models, enabling millions of domain experts to train AI models. Our mission involves creating a new category of work where expertise drives AI advancement, requiring an ambitious and committed team working at the forefront of AI systems. The Frontier Data Products team is responsible for transforming complex multimodal inputs (images, video, audio, documents) into reliable, customer-ready data products at scale. This role is a player-coach position, balancing technical contributions with people leadership, including writing production code, owning architectural decisions, and resolving complex production issues. It also involves hiring, coaching, and organizing a team to operate with clear ownership and independent judgment, focusing on product quality, reliability, and usefulness.

$300k - $420k

Mercor is seeking a Software Engineer for their Applied AI - Frontier Engineering team to build, deploy, and operate systems that bridge frontier AI research and data delivery. This role involves high ownership and deep technical work, tackling ill-defined problems, prototyping with researchers and customers, and scaling systems from experiments to production. You will manage projects end-to-end, including requirements gathering, data creation pipelines, and improving model-adjacent infrastructure, while collaborating with AI labs and internal teams to deliver impactful applied AI solutions.

$160k - $500k

Mercor is seeking a Member of Technical Staff to build the backend systems and agent infrastructure for their talent network. A significant portion of Mercor's operations rely on agents for sourcing, screening, matching, and supporting experts with minimal human intervention. This role involves designing and deploying the services that power these agents, including orchestration, tool interfaces, evaluation, and data models for auditable and reversible decisions. This is a hands-on engineering position requiring coding, end-to-end system ownership, and collaboration with product, operations, and AI researchers to define agent functionalities and human involvement. The company is a profitable Series C organization valued at $10 billion, focused on organizing human intelligence to power the AI economy. They are a leading AI data company building the interface between human expertise and advanced AI models, with millions of domain experts earning significant daily income to train frontier AI models. Mercor's APEX benchmark family measures AI's real-world impact on professional work, and Mercor Enterprise extends this infrastructure to Fortune 500 companies.

$160k - $500k