Remote AI Research Engineer Jobs

NVIDIA is seeking an Applied Research Scientist to join its computational engineering applied research team. This role focuses on designing and developing GPU-native numerical methods to enhance the speed, reliability, and usability of engineering simulations across NVIDIA platforms. You will contribute to the numerical foundations for emerging AI-native engineering algorithms by exploring solver algorithms, building research prototypes, and evaluating different approaches. The objective is to rethink traditional CPU algorithms for massive parallelism, hierarchical memory, reduced synchronization, mixed precision, tensor-core computation, and multi-GPU systems, connecting numerical analysis, accelerated computing, software engineering, and AI-native methods.

€121k - €256k

Harvey is transforming legal and professional services by combining agentic AI, an enterprise-grade platform, and deep domain expertise. This is a unique opportunity to join a fast-scaling company at an inflection point, defining a new category in real-time. The team is driven, ambitious, and committed to excellence, valuing decisiveness, simplicity, and continuous improvement. As a Member of Technical Staff in Harvey Research, you will adapt and improve leading open-weight models for legal work, focusing on post-training efforts including SFT and RL, reward design, and verification for complex legal tasks. You will contribute to setting research direction and bringing ideas from experimentation to customer-facing models within a high-bar, hands-on team.

$230k - $340k

Harvey is transforming legal and professional services by combining agentic AI, an enterprise-grade platform, and deep domain expertise. This is an opportunity to join a fast-scaling company at an inflection point, defining a new category in real time. The team operates with intensity, ownership, and a commitment to excellence, driven by values of Decisiveness, Simplicity, and Job's Not Finished. As a Member of Technical Staff in Harvey Research, you will build the data and measurement systems crucial for post-training, benchmarking, and agent capability development. You will own synthetic data pipelines, evaluation design, and systems that convert expert feedback into training signals, tackling the core research challenge of defining and measuring quality in tasks where correctness is not always automatically verifiable.

$230k - $340k

NVIDIA is developing advanced AI systems capable of perceiving, reasoning about, and generating dynamic worlds. Our team focuses on advancing world foundation models to create high-fidelity, temporally stable video and world generation for applications in Physical AI, simulation, and interactive experiences. This role sits at the intersection of applied research and production, involving the development and validation of model improvements, and their subsequent hardening into production-ready checkpoints and recipes for other teams to utilize. The primary technical focus is on understanding human appearance, motion, and action, with progress measured through rigorous experimentation, diagnostics, and comparative evaluations. Collaboration with data, platform, and product engineering teams is essential to ensure research advancements translate into tangible performance and quality improvements.

$184k - $357k

NVIDIA is seeking a Senior Research Engineer passionate about Generative AI inference to help revolutionize how AI is integrated into products and services. Our team is at the forefront of developing optimized inferencing technologies for a wide range of generative AI models, from language to images. We are involved in the entire machine learning lifecycle, from initial concepts and applied research to engineering for optimized inference and final deployment. This role involves close collaboration with research teams, engineers, and the open-source community.

$192k - $357k

Snorkel AI

Snorkel AI is seeking a Research Scientist to advance the creation of high-quality data and environments for AI agents. You will build and optimize pipelines that integrate real-world data, automated generation, and human expert input. Collaborating with domain experts, academic partners, customers, and internal teams, you will scale these pipelines to address frontier model performance gaps and enhance data and environment diversity. Your work will empower human knowledge and judgment, enabling experts to refine data and agentic environments, solidifying Snorkel's position as a leader in frontier data solutions. This role is perfect for individuals passionate about advancing frontier AI through data and environment creation, and who enjoy translating research into scalable, reusable systems.

$200k - $375k

Dscout

Dscout is seeking an AI Research Engineer to join their new AI Training & Evals unit. This team focuses on building human data and evaluations to determine if AI performs effectively for real people in real-world contexts. While AI models may excel at benchmarks, they often surprise users in practice. This role bridges that gap by leveraging Dscout's decade of experience in capturing human behavior to create training data, evaluations, and benchmarks that AI teams can trust. The position offers a unique opportunity to work on unsolved problems in AI measurement, study real participants in their own context, and contribute to publishing novel methods and benchmarks.

$250k - $400k

Snorkel AI

Snorkel AI is seeking a Research Scientist to bridge the gap between cutting-edge research and real-world AI systems. This hands-on role involves prototyping, building, and deploying innovative AI solutions, translating research breakthroughs into scalable, practical applications. The company operates in a fast-paced, high-impact environment, seeking individuals who thrive on rapid iteration, solving open-ended challenges, and driving innovation from research into production.

$200k - $375k

Snorkel AI

Snorkel AI is seeking Forward Deployed Researchers to partner with frontier AI labs on challenging data problems. This customer-facing role requires deep technical and research expertise to help design complex data and environments that enhance frontier model performance. You will act as a thought partner, working at the intersection of research, technical strategy, and customer collaboration. Your responsibilities will include scoping training data needs, designing RL environments, developing evaluation frameworks, analyzing model behavior, and translating customer objectives into technical plans.

$160k - $400k

Anthropic

Anthropic is seeking individuals for its paid, fixed-term Research Residency program, lasting between six weeks and six months. This program is designed for those who have led ambitious work in technical fields and are looking to transition into full-time roles focused on ensuring AI systems are safe and beneficial for humanity. The residency offers a concrete, scoped project with direct mentorship from Anthropic researchers, access to Claude models and GPU compute, and connections to the AI safety and security research community. While background in machine learning is not required, strong candidates will be motivated by AI safety and excited to transition into empirical AI research.

£265k - £375k

HUD is building reliable, fair, and open infrastructure for AI data, aiming to make data valuable for creators and trustworthy for AI training labs. As a Senior Research Infrastructure Engineer, you will accelerate research on training and evaluating frontier AI agents by building the software and infrastructure that enables researchers to iterate on environments, collect trajectories, and evaluate model behavior. You will collaborate closely with research engineers to understand their needs, identify bottlenecks, and transform research code into robust, reusable systems, owning the tools, pipelines, and execution infrastructure that support their exploration and scaling of promising approaches.

$175k - $260k

AssemblyAI

AssemblyAI is a leading Voice AI company developing foundational speech models that power the next generation of voice applications. We operate at a significant scale, processing millions of hours of audio daily and serving billions of end-user experiences. This is a growth-stage opportunity within a capital-efficient company that offers significant ownership and impact. We foster a flat culture where employees are deeply involved in the details and can drive their work forward without bureaucratic hurdles. If you are passionate about Voice AI and want to solve interesting problems at scale, this is the place for you.

$270k - $310k

Prime Intellect

Prime Intellect is building the open superintelligence stack, a platform designed to unify compute, environments, evaluations, and high-performance training for AI labs. Their platform, Lab, supports full-stack systems for post-training at frontier scale, including SFT, RL, tool use, agent workflows, and continuous model improvement. They are focused on creating open-source models for long-horizon tasks like autonomous research and the platform their own research team uses. The company aims to provide AI companies and research teams with the ability to transform their workflows, tools, and data into owned superintelligence.

$150k - $300k

Deepgram

Deepgram is a leading platform for Voice AI, providing real-time APIs for speech-to-text and text-to-speech, enabling developers to build production-grade voice agents at scale. We are seeking researchers who are passionate about solving customer challenges by improving our AI models. This role involves identifying model limitations, designing evaluations, curating data, fine-tuning models, and shipping solutions to production within weeks. The ideal candidate will have an AI-first mindset, be comfortable experimenting with new AI tools and models, and thrive in a fast-paced, evolving environment.

$216k - $338k

Prime Intellect

Prime Intellect is building the open superintelligence stack, providing infrastructure for AI labs. Their platform, Lab, unifies compute, environments, evaluations, and training for post-training at scale, including SFT, RL, tool use, and agent workflows. They are focused on open-source models trained for long-horizon tasks and the platform used to build them. The company has raised significant funding from prominent investors and is seeking individuals to work at the intersection of frontier research, infrastructure, and go-to-market strategy for a nascent category.

$150k - $300k

Prime Intellect

Prime Intellect is building an open superintelligence stack, providing infrastructure for AI labs. Their platform, Lab, unifies compute, environments, evaluations, and training for post-training at scale, including SFT, RL, tool use, agent workflows, and continuous model improvement. They are focused on open-source models for long-horizon tasks and the platform their research team uses. The company has raised significant funding from prominent investors and is looking for individuals passionate about building at the intersection of frontier research, infrastructure, and go-to-market strategy for a nascent category.

$150k - $300k

Prime Intellect

Prime Intellect is developing an open superintelligence stack, providing infrastructure that AI labs typically build internally to ambitious AI teams. Their platform, Lab, integrates compute, environments, evaluations, secure sandboxes, high-performance training, and deployment for post-training at scale, covering SFT, RL, tool use, agent workflows, and continuous model improvement. They are focused on building open-source frontier AI models trained for long-horizon tasks and the platform their research team uses. The company has secured significant funding from prominent investors and AI leaders, and is seeking individuals passionate about building at the intersection of frontier research, infrastructure, and go-to-market strategy for a nascent category.

$150k - $300k

Cohere

Cohere is seeking a Member of Technical Staff to focus on post-training large language models (LLMs) using reinforcement learning and developing methods for improved generalization. This role involves designing training recipes, environments, and evaluations to ensure models learn skills effectively and generalize beyond their training data. You will collaborate with data infrastructure, evaluation, and pre-training teams to translate research findings into robust training procedures for production models. The ideal candidate is passionate about advancing AI capabilities and contributing to the widespread adoption of AI in enterprise solutions.

CA$295k - CA$535k

Luma is seeking a Research Scientist/Engineer to build the systems that enable reinforcement learning (RL) at a frontier scale. This role involves coupling policy optimization with large fleets of inference workers, agentic environments, and reward/verification systems to translate model behavior into learning signals. RL is crucial for Luma's models to evolve from capable to useful. This is a full-loop systems problem encompassing training, rollout generation, environment execution, and reward computation across thousands of GPUs, requiring speed, stability, and correctness. The ideal candidate has experience with post-training LLMs using RL, building environments and verifiers, and debugging large-scale asynchronous rollout pipelines.

Salary not listed

HUD is building reliable, fair, and open infrastructure for AI data, aiming to make data valuable for creators and trustworthy for AI labs. As a Research Engineer on the Robotics team, you will develop datasets and evaluations crucial for training and assessing embodied AI systems. This role involves translating research needs into data specifications, creating methods for data validation, and conducting experiments to understand how data characteristics impact model performance. You will collaborate with internal research and engineering teams, and potentially with data vendors and buyers, to enhance robotics data offerings.

$100k - $230k

Tavus

Tavus is building the human layer of AI, aiming to make human-AI interaction as natural as face-to-face communication. We pioneer research in multimodal AI for modeling human communication (language, audio, video) and generating audio-visual avatar behavior, powering applications from text-to-video avatars to real-time conversational video. We are a Series B company backed by top investors, seeking individuals who thrive in startup environments, can prioritize independently, and are willing to take calculated risks to help pave the path forward.

Salary not listed

HUD is building reliable, fair, and open infrastructure for AI data, aiming to make data valuable for creators and trustworthy for AI trainers. We are a growing team of researchers, engineers, and operators backed by significant VC funding. We are seeking a Research Manager to lead research focused on enhancing HUD's agent training data and evaluations for frontier models. This role involves guiding research engineers through complex projects, translating findings into scalable methods, and staying technically engaged while ensuring rigorous experimentation and impactful results. The ideal candidate will possess a deep understanding of model training dynamics, including how signals, data, and evaluation design influence outcomes.

$120k - $295k

Innodata is a global data engineering company focused on the intersection of data and Artificial Intelligence (AI). Our mission is to enable the responsible advancement of AI by providing the data, evaluation frameworks, and human expertise needed to build trustworthy AI systems at scale. We offer a range of solutions, platforms, and services for Generative AI builders and adopters, leveraging over 36 years of experience in delivering high-quality data and outstanding customer outcomes. This role focuses on the science behind speech and audio models, addressing challenges in robustness across accents, noise, and code-switching, speaker diarization, speech naturalness, and streaming latency. You will be instrumental in building the data and evaluation designs that drive progress in these areas for customers and frontier labs. Your work will involve critical judgment on benchmark coverage, transcription conventions, and the appropriate use of automated versus human evaluation metrics. You will collaborate closely with our transcription and linguistics lead to ensure our data standards directly influence model learning.

$160k - $185k