Design, build, and validate new research methods and products based on industry trends and client pain points.
Develop rigorous validation frameworks and apply statistical modeling to improve accuracy and reliability.
Manage team operations, including productivity metrics, contractor relationships, and automate workflows with AI tools.
NewtonX is a research intelligence company that helps organizations make better business decisions and train AI models using verified human intelligence. They serve over 600 clients including major tech and consulting firms, and have a network of millions of domain experts across industries.
Build evaluation frameworks for AI agents, including datasets and metrics for real-world task performance.
Design experiments to compare models and tools, identifying regressions and trade-offs.
Investigate agent failures and improve performance across models, harnesses, and tooling.
Gauntlet builds the financial systems of the future, operating across the onchain finance stack to offer vault products. They serve over $1.7B in client TVL across fintechs, protocols, exchanges, and capital allocators, combining traditional finance and crypto-native expertise.
Design end-to-end LLM evaluation plans for business scenarios such as dialogue and financial trading.
Build evaluation metric systems, rubrics, and high-quality datasets with credible, reproducible conclusions.
Analyze model limitations, automate evaluation workflows, and collaborate to drive model improvement.
Binance is a leading global blockchain ecosystem behind the world's largest cryptocurrency exchange by trading volume and registered users. Trusted by over 300 million people in more than 100 countries, the company offers a fast-paced, results-driven culture with a flat structure and world-class talent.
Work with subject-matter experts to create synthetic tasks for training AI agents across a range of professional and technical domains.
Design synthetic task-generation methods that produce diverse, realistic and learnable tasks.
Build systems and tooling to mutate, validate and improve synthetic tasks.
They build reliable, fair and open infrastructure for AI training data. The company is backed by Y Combinator, used by startups and Fortune 500, and scaling quickly.
Monitor and synthesize trends across AI and machine learning research, foundation models, agents, and data enrichment methods.
Tinker with emerging models, tools, and datasets to build prototypes and run experiments that turn ideas into evidence.
Identify high-leverage opportunities to enrich data assets and translate research into actionable recommendations.
Troveo builds the data platform AI labs need to train next-generation models, with the world's largest licensed platform of scarce, proprietary data. It is a small, high-impact team backed by top investors, focused on transparency and work-life balance.
Design pretraining, SFT, and RL data for engineering tasks across CAD, CAE, and EDA.
Define evaluation criteria and agent architectures for multi-step engineering workflows.
Build benchmarks and diagnostics to identify model failures and trace back to gaps in data or agent design.
Mistral is a full-stack AI company building frontier models, developer tools, and compute for enterprises. We are a diverse, dynamic team distributed globally, passionate about AI and committed to low-ego collaboration and innovation.
Design and build challenging evaluations and executable environments for coding and long-horizon agents.
Develop scoring logic and verifiers to detect reward hacks and trace failures through model outputs and harness code.
Build and scale RL data pipelines for generating and curating challenging coding and agentic tasks.
Prime Intellect is building the open superintelligence stack, providing infrastructure for post-training frontier AI models and open-source models trained for long-horizon tasks. The company has raised $150M from top investors and is a mission-driven team passionate about accelerating science and AI.
Build AI-powered agents and tools end-to-end: identify problems with clients, prototype quickly, evaluate rigorously, and ship to production.
Design and implement LLM integrations including prompt engineering, function calling, structured outputs, and retrieval-augmented workflows.
Work directly with clients to understand workflows, validate AI behavior, and iterate toward production quality.
Addepar is a global data and AI platform empowering investment professionals to turn complex financial information into actionable intelligence. With over 1,500 firms in 60 countries and nearly $10 trillion in assets on the platform, Addepar fosters a culture of ownership, collaboration, and continuous learning.
Build the tools, workflows, and accelerators that help Kettle do its best work.
Sit at the intersection of emerging AI capabilities and creative/product practices, turning new possibilities into usable solutions.
Collaborate across disciplines including Design, Product Management, Copy, Strategy, and Production.
Kettle is a digital product agency that designs products with soul for ambitious consumer brands, working at the intersection of product thinking and brand storytelling. They are a collaborative, curious team looking for someone deeply technical and creative.
Design state-of-the-art datasets that drive frontier model training and evaluation based on current model performance and academic partnerships.
Translate benchmark insights into clear, compelling narratives for customer-facing presentations, technical reports, and go-to-market materials.
Represent Snorkel's research externally through publications, blog posts, conference talks, and customer engagements.
Snorkel AI is the frontier AI data lab, helping teams build the data and environments behind high-performing frontier and agentic AI. Founded in 2019 out of Stanford AI Lab, it works with leading AI labs and enterprises to move from better data to better outcomes.
Lead data science initiatives on the Document, Accounting, Takeoffs and Pro Commerce tracks, defining key metrics and driving product strategy.
Design and analyze A/B tests and causal inference experiments, applying machine learning methods to deliver actionable insights.
Dig into complex datasets, translate findings into clear narratives and dashboards, and provide technical guidance to junior team members.
Houzz is the leading platform for home remodeling and design, providing an all-in-one software solution for industry professionals and tools for homeowners. It is a community-centric, innovative tech company with a mission-driven culture focused on making home renovation and design more productive for everyone.
Build labeled evaluations from real agent activity and publish monitor precision and recall.
Run monitors across customer fleets and identify unread events.
Turn patterns into proposed policies and refinements for security engineers.
Sondera develops a policy engine for AI agents that enforces natural-language rules to ensure agents act as intended. The team includes veterans from top security and AI companies and is backed by leading venture firms, emphasizing a remote, writing-intensive culture.
Serve as a primary technical consultant, leading end-to-end AI/ML project implementations with clients.
Design, build, and maintain production-grade AI/ML pipelines, emphasizing CI/CD and advanced MLOps/AIOps practices.
Architect end-to-end AI/ML systems and manage infrastructure using Docker, orchestrators, and Databricks lakehouse.
Mutt Data is a dynamic startup committed to crafting innovative systems using cutting-edge Big Data and Machine Learning technologies. We build modern Machine Learning systems for demand planning, budget forecasting, and custom AI solutions, fostering a data-nerd culture with values like ownership and a positive mindset.
Collaborate with cross-functional stakeholders to design and deliver AI and ML solutions that address business needs.
Develop, test, and optimize AI agents, prompts, workflows, and ML models using structured and unstructured data.
Evaluate solutions for accuracy, scalability, and effectiveness, including testing edge cases and failure modes.
VSP Vision helps people see every possibility by connecting nearly 90 million patients to network doctors globally. With nearly 70 years in eye health and 15,000 teammates, they value collaboration and inclusion.
Design, build and ship AI-native applications and experiences for real-world use cases.
Build applications using large language models, generative AI APIs and agentic architectures.
Develop high-quality software using Python, TypeScript/JavaScript or comparable modern languages.
Valtech transforms how people experience the world through technology, combining technology, creativity, and experience to solve meaningful business challenges. The company fosters a culture of continuous learning, meaningful impact, and professional growth, with a borderless global framework enabling seamless collaboration.
Own the context layer: manage what Mimo knows, when, and at what cost, with retrieval and memory as one budget.
Define tool contracts and build evaluation practice: schemas, results, failure modes, and regression gates for every change.
Shape how Mimo reasons, asks, explains, and recovers, and decide which model runs where.
MimoLabs builds Mimo, an agentic system for making physical things, from design to production across 3D printing, CNC, and laser cutting. We are a small, VC-funded, experienced team based in Detroit and remote across the US, fast, adaptable, and honest.
Debug and fix issues in the platform and ship PRs with your fixes.
Build internal tools and copilots powered by generative AI to supercharge the team.
Rapidly prototype proof-of-concepts for customer use cases across Engineering, Product, and Solutions.
Arize AI is the leading AI observability and evaluation platform, enabling teams to monitor, troubleshoot, and optimize AI systems from prototype to production. The company serves over 150 enterprises including Booking.com, Uber, Siemens, and PepsiCo, and operates with a remote-first culture committed to diversity and inclusion.
Own a broad portfolio of model partners end to end, across modalities
Track the model landscape relentlessly: spot new labs and releases early and bring the strongest ones to the team as candidates for integration
Take new partners from zero to launched: source, structure and negotiate commercial terms, then close with Legal and Finance
Runway builds AI to simulate the world through merging art and science, focusing on world models for general-purpose simulation. The team consists of creative, open minded, caring and ambitious people determined to change the world.
Talk to users and turn vague needs into clear workflows and designs
Build the tools used to test, evaluate and monitor agents
They are a late-stage, venture-backed enterprise AI company shipping new AI products from zero to one. They are assembling a small, high-ownership team focused on speed, product judgment, and customer impact.
Own the fellowship curriculum and learning design, ensuring alignment with AI industry practices and market demand.
Oversee the quality of all learning materials and improve continuously using learner outcomes and feedback.
Build and maintain the instructor network by sourcing, interviewing, and calibrating instructors to uphold program standards.
Anyone AI runs an AI fellowship program providing practical, industry-aligned education. The company values a dynamic, fast-iterating culture and maintains rigorous standards for teaching and learning quality.