Evaluate Kubernetes tasks for technical accuracy, realism, and reproducibility.
Provide clear feedback on orchestration issues, configuration bugs, or logic errors.
Utilize your deep Kubernetes expertise to audit complex technical scenarios.
Greenhouse is a hiring platform that powers recruitment for modern companies. They are an established firm with a distributed team and a culture focused on innovation and flexibility.
Evaluate GPU kernel tasks for technical accuracy, realism, solvability, reproducibility, and robust testing criteria.
Rigorously test and troubleshoot complex GPU programming scenarios to identify memory allocation bugs, execution bottlenecks, and parallel computing logic errors.
Review CUDA, Triton, and other GPU kernel implementations and provide clear, actionable technical feedback.
Our partner is a company specializing in AI training and evaluation, seeking experienced GPU kernel specialists to audit AI training tasks. The project is globally distributed and offers fully remote freelance work.
Lead technical enablement programs for partners to implement Chainguard solutions.
Partner with alliances and channel teams to drive joint strategies and mutual growth.
Develop and maintain partner-facing technical content including integration guides and reference architectures.
Chainguard provides hardened, secure, and production-ready builds of open source software. They are a venture-backed company with customers including Fortune 500 enterprises and global industry leaders.
Assess technical accuracy and reproducibility of AWS Trainium/NKI tasks.
Provide actionable feedback on kernel execution bugs and logic errors.
Evaluate hardware acceleration inefficiencies and compilation issues.
We source experienced technical specialists to audit AI training tasks and evaluation workflows. The project is remote and freelance, with a focus on technical accuracy and efficiency.
Define the strategy, roadmap, and feature priorities for k0rdent AI Kubernetes services, empowering Neocloud operators to launch managed Kubernetes on their own GPU infrastructure.
Translate requirements from NeoClouds, GPU clouds, telcos, and enterprise platform teams into clear product direction and partner with engineering to ship secure, scalable cluster lifecycle capabilities.
Manage the Kubernetes backlog, define positioning and competitive differentiation, and create field-facing assets to support strategic accounts.
Mirantis is the Kubernetes-native AI infrastructure company, enabling organizations to build and operate scalable, secure, and sovereign infrastructure for modern AI. They have a world-class, distributed team committed to openness and technical excellence.
Audit AWS Serverless and Infrastructure as Code tasks for technical accuracy and realism.
Evaluate deployment scenarios, architecture logic, and testing criteria.
Provide clear, actionable feedback to improve AI training and evaluation systems.
Jobgether uses AI-powered matching to connect professionals with freelance roles at partner companies. This project offers independent remote work with competitive hourly rates and flexible scheduling.
Evaluate AWS Serverless and IaC tasks for technical accuracy and reliability.
Provide clear, actionable feedback on deployment pipeline errors and architecture issues.
Ensure tasks are realistic, reproducible, and supported by robust tests.
We source experienced technical specialists to audit tasks used to train AI systems. Our project ensures that AI training workflows are technically rigorous and accurate, with a focus on high-quality deliverables.
Build and operate the Kubernetes platform supporting AI test and evaluation frameworks.
Design infrastructure-as-code, GitOps workflows, and automated deployment pipelines.
Own platform reliability, observability, capacity planning, and operational readiness.
OpenTeams helps enterprises and governments build AI they control, govern, and evolve themselves. Founded by the creator of NumPy and SciPy, the company is built by people with deep roots across the open-source ecosystem and maintains a remote-first culture.
Provide Tier 2 / Tier 3 technical support to enterprise customers.
Troubleshoot Kubernetes-based deployments, software, infrastructure, hardware, networking, and configuration issues.
Reproduce customer environments and run tests to diagnose technical problems.
Ubiminds connects Latin American tech professionals with software companies in the US and Canada. With 9 years in the market and GPTW-certified, they support hundreds of professionals in data, design, product, and engineering.
Provide solutions to customers to make them successful using our products.
Troubleshoot customer environments and engage in active triaging with customers.
Participate in on-call rotation for weekend coverage.
Astronomer empowers data teams to bring mission-critical software, analytics, and AI to life with its unified DataOps platform, Astro, powered by Apache Airflow. Trusted by more than 800 enterprises, the company fosters a diverse and inclusive culture as an equal opportunity employer.
Design and build LLM serving infrastructure on Kubernetes, including deployment, GPU scheduling, and model lifecycle management.
Package the platform for enterprise environments with Helm-based installs and support for restricted or offline networks.
Integrate the serving layer with API gateway, identity, and metering services, and build observability for GPU inference in production.
Mirantis is a Kubernetes-native AI infrastructure company that helps organizations build and operate scalable infrastructure for AI and data-intensive applications. It is part of an IREN company and empowers platform engineering teams with open-source innovation and deep expertise in Kubernetes orchestration.
Design and build complex, hands-on lab scenarios that showcase Sysdig across containers, Kubernetes, Linux and public cloud.
Own the automation and reliability of the training platform, including provisioning and scripting.
Design and deliver engaging technical training, workshops and demos for diverse audiences.
Sysdig stops attacks in real-time by detecting changes in cloud security risk with runtime insights and open source Falco. It is a well-funded startup with a large enterprise customer base, recognized as a best place to work.
Design and build production AI agent systems for diagnosing and remediating infrastructure issues in large-scale GPU environments.
Develop distributed services, orchestration frameworks, knowledge graphs, and retrieval systems to power AI agents.
Own services end-to-end from architecture through production, collaborating with infrastructure and engineering teams.
The company builds AI agents that operate and automate large-scale GPU infrastructure. The engineering team is highly collaborative and remote, fostering ownership and autonomy.
Design and implement advanced batch scheduling architectures using frameworks like Volcano or YuniKorn to support multi-node gang scheduling.
Develop and manage cluster-wide admission control and sophisticated job queueing mechanisms utilizing Kueue to manage high-volume AI workload traffic.
Collaborate with GPU Systems and Storage teams to ensure the scheduling layer is tightly integrated with bare-metal hardware and storage I/O patterns.
Bitdeer provides comprehensive Bitcoin mining solutions and AI computational infrastructure. The company operates globally with data centers in multiple countries and focuses on AI and blockchain technology.
Assess software engineering tasks for technical accuracy, realism, and reproducibility.
Provide actionable feedback on codebase integration issues and logic errors.
Ensure AI training workflows are rigorous and practically applicable.
Project World Wide sources experienced technical specialists for AI training task auditing. This freelance contract opportunity focuses on ensuring technical rigor and accuracy in AI workflows.