Design realistic 3D production tasks for AI evaluation.
Create and modify 3D models, materials, lighting, and scenes.
Review AI-generated 3D content and define objective evaluation criteria.
Anyone AI creates high-quality training and evaluation data for frontier AI models. We are a remote team of contractors working on AI evaluation projects.
Build the geometry and data core of a new BIM authoring tool.
Develop AI agents that plan and edit building models.
Create generative design capabilities that account for building codes and client constraints.
We are an early-stage AI and AEC software team building a new BIM authoring tool designed for AI agents. As a small, startup-minded team, we value generalists, ownership, and initiative.
Build the geometry and data core of a new BIM authoring tool.
Develop AI agents that plan and edit building models.
Create generative design workflows that account for building codes and client constraints.
Early-stage AI and AEC software team building a new BIM authoring tool designed for AI agents. They are a small, fast-moving startup team with a strong focus on technical leadership and architectural decisions.
Build the geometry and data core of a new BIM authoring tool.
Develop AI agents that can plan and edit real building models.
Create generative design capabilities that account for building codes and client constraints.
They build AI-first software for architecture and construction, creating a new BIM authoring tool for AI agents. As an early-stage team, they value generalist engineers comfortable working across the stack and willing to grow into leadership roles.
Build geometry methods that generate manufacturable CAD from intent across B-rep, implicit and mesh representations.
Put simulation in the loop with meshing, FEA, and physics-based verification feeding back into the design.
Own analysis pipelines for CAD/mesh validation, manufacturability checks, and geometry interchange.
MimoLabs builds Mimo, an agentic system that helps anyone design and manufacture physical objects from a simple description. It is a VC-funded, experienced technical team based at Newlab in Detroit and remote across the US.
Build and optimize RL infrastructure for large-scale training.
Improve efficiency across compute, memory, networking, and scheduling.
Design low-level optimizations, from kernels to runtime.
Prime Intellect builds the open superintelligence stack, providing full-stack infrastructure for frontier-scale AI post-training and deployment. The company has raised $150M from top investors and is mission-driven, focused on open-source AI and accelerating science.
Design realistic 3D production tasks for modeling, animation, rendering, and visual effects workflows.
Create and refine 3D assets, materials, lighting, and scenes while defining technical specifications.
Evaluate AI-generated 3D outputs for visual quality and technical accuracy, and document decisions.
The company trains advanced AI systems by using expert 3D artists to create and evaluate realistic creative production tasks. It operates as a remote, collaborative project team with a focus on technical precision, creative quality, and improving AI-generated visual content.
Build the RL post-training stack end-to-end: rollout ingestion, reward computation, policy updates, and returning updated weights to the network.
Invent algorithms for asynchronous, high-latency, partially trusted generation, including staleness tolerance and off-policy corrections.
Ship the first decentralized post-trained models, building evals and taking the release from run to public artifact.
Pluralis Research is developing Protocol Learning, a decentralized approach to training and serving large models on consumer devices. We are a small, deeply technical team backed by Union Square Ventures, with a remote-first culture and team members spread globally.
Design realistic electrical engineering tasks based on electronics development, circuit analysis, and electrical systems design.
Create and validate electrical schematics, PCB layouts, and technical specifications for AI evaluation.
Review AI-generated designs for technical accuracy and establish reference solutions.
We create high-quality training and evaluation data for frontier AI models. We are a flexible, remote-first organization assembling a team of expert contractors to advance AI systems.
Design, develop, and maintain geometry processing and simulation algorithms for engineering applications.
Build services for reading, processing, and writing 2D/3D engineering data, plus rendering modules and large-scale datasets.
Implement and optimize post-training workflows for machine learning models and develop domain-specific languages.
Foundation EGI is an MIT-born, venture-backed Silicon Valley startup building an AI Copilot for design and manufacturing. We are a remote-first team with a collaborative culture, offering equity, comprehensive benefits, and professional development opportunities.
Design, run, and analyse large-scale RL post-training experiments such as RLHF and RL from verifiable rewards.
Research and develop methods that improve out-of-distribution generalization, including reward design, task diversity, and regularization.
Build held-out evaluations to measure generalization and catch reward hacking, and turn successful research into production training recipes.
Cohere is a leading security-first enterprise AI company building cutting-edge foundation models and end-to-end products for businesses. We are a global team of researchers, engineers, and designers passionate about their craft, headquartered in Toronto with offices worldwide.
Design realistic mechanical engineering tasks based on product development, manufacturing, and industrial workflows.
Create and validate technical drawings, 3D CAD models, assemblies, and engineering calculations.
Review AI-generated engineering outputs for accuracy, feasibility, and compliance with requirements.
Anyone AI creates high-quality training and evaluation data for frontier AI models. It operates as a remote-first contractor-based team, emphasizing technical rigor and expert collaboration.
Learn, maintain, and improve our synthetic data pipeline and automated training system.
Take over a model and improve it with an agent loop that generates its own data.
Build closed loops where agents train detectors, test against validation sets, and improve with little human input.
CVEDIA builds computer vision models and applications that run on server and edge hardware using synthetic data. We are a small, fully remote team that uses AI agents across the company.
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.
Distributed pretraining: Implement and optimize model-parallel training on heterogeneous GPUs under low-bandwidth, high-latency links.
Performance optimization: Apply techniques that reduce communication overhead while maintaining model convergence in challenging network environments.
Elasticity and fault tolerance: Build robust checkpointing and recovery so runs survive node churn as participants join and leave.
Pluralis Research is a decentralized AI research company developing Protocol Learning to train large models on consumer devices across the internet. The team is world-class and deeply technical, backed by tier-1 investors, with a remote-first culture.
North America
Unlimited PTO
18w maternity
12w paternity
Lead ambitious research in computer vision, multimodal understanding, and visual generation.
Bridge cutting-edge research to practical product improvements.
Mentor scientists and set technical direction for high-impact AI.
Webflow is an agentic web marketing platform that helps marketing teams build, manage, and optimize high-performing web experiences. It is a fast-moving, growing company that values grit, craft, and quality, offering equity and comprehensive benefits.
Build the Learning Gym, a sandboxed environment for training and evaluating AI agents on real Niural workflows with ground-truth reward signals.
Engineer verifiers, run reinforcement learning loops, and establish honest baselines to prove agent improvements generalize.
Write first-author research papers and internal technical reports, and represent the work externally through preprints and talks.
Niural is a global payroll, Employer of Record (EOR), Agent of Record (AOR), and Contractor Management platform. It is a relentlessly ambitious team focused on building foundational internet infrastructure for the AI era.
Build inference systems powering RL research, scaling toward 1–3T parameter models on NVL72 clusters.
Optimize rollout throughput, multi-node MoE inference, and weight-update overhead for long-horizon agents.
Collaborate with model researchers on architecture choices balancing model quality and execution cost.
Prime Intellect is building the open superintelligence stack, unifying compute, environments, and deployment for frontier-scale AI post-training. Backed by $150M in funding, the team is mission-driven and hard-working, focused on accelerating open AI research.
Apply advanced mechanical engineering expertise to create, solve, and validate engineering tasks for AI training.
Use computational modeling, simulation, and AI coding agents to develop and assess engineering solutions.
Work fully remotely as an independent contractor on a 12-month contract, contributing to AI system reliability.
We are an AI-powered job matching platform that connects top candidates with hiring companies. We use AI to review applications and shortlist the best-fitting candidates for a fair and efficient recruitment process.
Build and extend pretraining code to scale experiments into full training runs.
Evaluate model architecture changes and optimize training throughput and resilience.
Run controlled ablations and collaborate with data and evaluation researchers.
Prime Intellect is building an open superintelligence stack, providing the infrastructure and platform for frontier AI training and deployment. The company has raised $150M from top investors and boasts a mission-driven team working to decentralize AI.