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.
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.
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.
Design and implement cloud solutions using Azure or AWS services like AKS, ECS, and Blob Storage.
Lead technical delivery from discovery to project close, including scope, estimates, and team formation.
Collaborate with cross-functional teams to turn abstract ideas into functional, scalable AI-powered solutions.
Nimble Gravity is a technology consultancy that designs and deploys cloud solutions. They emphasize high ownership, resilience, and a bias for action in their engineering teams.
Design, build, and operate Kubernetes infrastructure for AI workloads using Terraform and GitOps.
Define SLOs, run incident response, and create runbooks for reliable AI platform operations.
Drive AI-specific observability, FinOps, and security practices across the platform.
We are an AI-native consulting partner working with clients like PayPal, adidas, and NatWest to build digital products and services. Our team of over 600 has scaled quickly, earning Great Place to Work-Certified status multiple years in a row.
Own and operate a production agentic AI platform on AWS, ensuring reliability and scaling.
Lead infrastructure automation and release management, driving best practices in security and compliance.
Collaborate with the platform team on agile ceremonies and proactively communicate status to stakeholders.
Inizio Evoke is a healthcare communications company dedicated to making health more human. As part of the larger Inizio network, it emphasizes a collaborative, inclusive culture where employees are encouraged to be their authentic selves.
Automate infrastructure creation using Terraform and AWS CloudFormation.
Own build and release cycles, and improve CI/CD pipelines with Jenkins and Bitbucket.
Migrate legacy infrastructure to AWS and build scalable data platforms like EMR and Redshift.
Mactores is an AWS modernization firm that uses its Aedeon agent platform to automate repetitive discovery and validation, enabling engineers to focus on architecture and cutover. The company operates with a forward-deployed model and a culture built on 10 core leadership principles like curiosity and ownership.
Architect and maintain critical cloud platform components on AWS EKS with high availability and automated resilience.
Establish SRE standards including SLO/SLI tracking, error budget frameworks, and automated operational tooling.
Design and implement OpenTelemetry capture pipelines for telemetry data feeding downstream platforms.
Inflect is a US-based advisory and marketplace that revolutionizes how companies buy and sell digital infrastructure services. They operate with a focus on high-impact consulting and autonomous work.
Work on building an Infrastructure Platform to support the growing needs of the Engineering Organization.
Deliver key infrastructure projects, break down complex initiatives, and define strategy through RFCs and technical specifications.
Focus on building a platform that is AI friendly while still usable for engineers.
Mercury is a fintech company that provides banking services for startups through partners like Choice Financial Group and Column N.A. The company values diversity and is an equal opportunity employer, with a focus on building scalable infrastructure.
Build AI-powered tools and copilots across the SDLC to reduce cognitive load and eliminate manual steps.
Research and deploy GenAI solutions to improve delivery pipelines and system reliability.
Collaborate with Platform, SRE, and DevOps teams to integrate intelligent automation into the core engineering platform.
Coderio designs and delivers scalable digital solutions for global companies. They combine strong technical expertise with a product mindset and value autonomy and clear communication.
Drive AI platform architecture and execute the long-term roadmap for machine learning and generative AI.
Lead AI infrastructure vision including end-to-end training, fine-tuning, and low-latency inference platforms.
Set engineering excellence standards for the full AI/ML SDLC and mentor senior engineers.
Lyra Health is a leading provider of evidence-based mental health care, serving over 20 million people globally. The company operates with a focus on transformative care and has delivered over 15 million sessions, employing a large team that includes engineers, data scientists, and clinical professionals.
Design and maintain CI/CD and MLOps pipelines for AI and software applications, ensuring seamless deployment and automation.
Build and scale cloud-native infrastructure using Kubernetes, Docker, and GPU clusters to support high-performance AI workloads.
Champion Infrastructure as Code and observability practices to ensure high availability, security, and compliance across multi-cloud environments.
Bitdeer is a world-leading technology company providing AI and Bitcoin mining infrastructure. Headquartered in Singapore, the company has a global presence with data centers in multiple countries and a culture focused on innovation and reliability.
Design and build sandboxed evaluation environments for AI models to safely execute code and interact with tools.
Build backend services and infrastructure supporting large-scale AI and agentic evaluations.
Develop agent scaffolding, evaluation harnesses, and systems for provisioning isolated environments using Docker, Kubernetes, and cloud infrastructure.
10a Labs is the safety and threat-intelligence layer trusted by frontier AI labs, AI unicorns, Fortune 10 companies, and leading global technology platforms. The company focuses on adversarial red teaming and model evaluations to help teams deploy AI systems safely.
Architect and deploy autonomous AI agents and multi-agent workflows for privacy-first systems.
Build scalable backend services using FastAPI and orchestrate agentic workflows with LangGraph in AWS or Azure.
Develop rigorous evaluation pipelines for accuracy, citation adherence, latency, and reliability.
Osano is a leading data privacy platform that helps organizations comply with global privacy regulations like GDPR and CCPA. Backed by top-tier investors and recognized as a Great Place to Work for four years running, the company has a 97% employee satisfaction rate and a mission-driven, fast-growing culture.
Build and mature the Stratusphere platform using agent-first development practices, including web interfaces, backend services, and agent tooling.
Scrutinize AI-generated plans and code to ensure scalability, maintainability, and rigorous testing standards.
Collaborate cross-functionally with engineering, product, and customer teams to design and evolve autonomous systems for cloud optimization.
StratusGrid builds Stratusphere, a multi-agent platform that turns cloud complexity into measurable outcomes by coordinating specialized infrastructure agents. We are a team of builders and operators focused on trustworthy automation and real business impact, working at the intersection of cloud engineering, product, and customer outcomes.
Build and operate model and inference serving infrastructure, managing latency, throughput, autoscaling, and reliability for real-time and batch inference.
Own the ML deployment lifecycle: model registry, versioning, promotion workflows, rollout strategies, and safe rollback.
Operate agentic and LLM workloads in production, managing inference providers, gateways, quotas, guardrails, and graceful degradation under load.
ReadyOn is an AI-native Labor Operating System that redefines how enterprises manage frontline labor by matching workers to shifts in real time. Headquartered in San Francisco with over 100 employees, it grew revenue 8x year over year in 2025.
Stand up, secure, and operate the AWS environment that powers AI capabilities on a large federal program.
Support cloud infrastructure and data engineering: ingest and prepare documents and structured data for AI workflows.
Act as reference point for AI infrastructure on AWS, setting patterns for other engineers and supporting multiple application teams.
Truss is a software development consultancy that builds government technology people actually want to use. They are a remote-first, collaborative team with high standards and a focus on work-life balance.
Lead the technical vision and architectural strategy for Experian's cloud-native platform and agentic AI capabilities.
Define and promote agentic AI architecture patterns, including multi-agent systems, tool orchestration, and LLM routing.
Establish and govern DevOps standards, including CI/CD pipeline design, GitOps practices, and deployment strategies.
Experian is a global data and technology company powering opportunities for people and businesses across financial services, healthcare, automotive, and more. The company has a team of 25,200 people in 32 countries and is known for its people-first, inclusive culture.
Own the technical relationship across the full sales cycle, from discovery and proofs of value to post-sales growth and pattern reuse.
Build custom workflows and integrations against customer toolchains (GitHub, GitLab, Jira, Slack, CI) to solve real deployment problems.
Drive market feedback loops by translating customer signals into structured product input and capture reusable architectures for partners.
Upsun is a cloud application platform for hybrid AI-human teams, enabling developers to build and scale confidently without wrestling with backend infrastructure. The company has a remote global workforce of hundreds across 30+ countries, fostering a multicultural, open-source-driven culture of curiosity and collaboration.
Operate the Monad node fleet, including health, sync, upgrades, and incident response for validators, full nodes, and archive nodes.
Own infrastructure-as-code with Ansible, Terraform, and Kubernetes, and build observability with Prometheus, Grafana, and Loki.
Design and build AI agent tooling for automated operations, including runbooks-as-code and deterministic guardrails.
Category Labs designs and builds decentralized technology, including the Monad blockchain, a high-performance EVM-compatible Layer 1. The team raised $225M in series A funding and is a lean, collaborative group of engineers and researchers with a culture of low ego and high-quality output.