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.
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.
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 developer workflow tasks for technical accuracy, realism, solvability, reproducibility, and alignment with reliable testing and evaluation criteria.
Audit AI-assisted development scenarios to identify technical inconsistencies, logic errors, workflow inefficiencies, or issues affecting task quality.
Provide clear, detailed, and actionable feedback that enables improvements to AI training and evaluation tasks.
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.
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.
Evaluate AI-generated coding interactions end to end for usefulness, accuracy, and consistency with strong engineering practices.
Assess whether coding agents demonstrate sound technical reasoning and practical engineering judgment rather than just producing working-looking code.
Provide actionable feedback, distinguishing between adequate and exceptional AI response quality to shape evaluation standards.
Jobgether uses an AI-powered matching process to ensure your application is reviewed quickly and fairly against the role's core requirements. They are a third-party recruitment platform that partners with companies to fill positions, with a streamlined selection process.
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.
Architect, deliver, and maintain critical cloud platform components on AWS EKS, focusing on production reliability and observability.
Establish SRE standards including SLOs, error budgets, and automated tooling to reduce operational friction.
Provide technical advisory through code reviews and architecture recommendations to maintain high platform standards.
Inflect is a US-based advisory and marketplace revolutionizing digital infrastructure procurement. They are a small team focused on reducing friction in buying datacenter, cloud, and network services through automation and better deal terms.
Serve as the technical backbone of cloud infrastructure operations, bridging incident detection and advanced architecture.
Build and maintain CI/CD pipelines, design IaC modules, and optimize cloud resources for performance and cost efficiency.
Lead observability initiatives, integrate DevSecOps practices, and collaborate with cross-functional teams to ensure robust cloud reliability.
CodeRoad provides end-to-end software development services, helping businesses scale with ideal infrastructure solutions. They operate with a nearshore model and focus on empowering businesses through staff augmentation, dedicated teams, and software engineering.
Support and optimize AWS infrastructure for Amazon Connect and enterprise cloud platforms.
Manage Infrastructure as Code using Terraform and automate tasks with Python and AWS CLI.
Develop dashboards, alerts, and monitoring solutions using CloudWatch, Dynatrace, Splunk, Grafana, and OpenTelemetry.
Miratech is a global IT services and consulting company that helps visionaries change the world by bringing together enterprise and start-up innovation. The company retains nearly 1000 full-time professionals, operates in over 25 countries, and has a culture of Relentless Performance with a 99% project success rate since 1989.
Evaluate Kubernetes tasks for technical accuracy, realism, and solvability.
Rigorously test and troubleshoot Kubernetes scenarios to identify issues.
Provide clear, detailed feedback to improve AI training workflows.
Jobgether is an AI-powered job matching platform that connects candidates to opportunities through objective analysis. The company emphasizes efficiency and fairness in the hiring process.
Evaluate AI-generated documents, spreadsheets, and presentation decks against quality rubrics.
Identify factual, formatting, visual, and structural issues in professional deliverables.
Provide clear, structured feedback to enhance AI output quality and consistency.
This partner company specializes in AI training and evaluation, focusing on improving the quality of AI-generated professional content. Operating as a remote and asynchronous team, they value precision, collaboration, and independent 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.
Lead technical strategy and architecture for healthcare SaaS platforms using AWS and infrastructure-as-code.
Drive full-stack engineering and AI agent production, including LLM workflows and multi-agent systems.
Guide senior engineers and large-scale initiatives while ensuring regulatory and security compliance.
They develop modern healthcare SaaS platforms, integrating cloud infrastructure, full-stack engineering, and AI capabilities. The company fosters a collaborative, remote culture focused on innovation and continuous improvement.
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.
Design, maintain, and support secure AWS environments across compute, storage, networking, account structure, and operational practices.
Administer Azure-hosted applications, data services, and supporting infrastructure including tenant configuration and access controls.
Implement and maintain infrastructure as code using tools such as Terraform or CloudFormation to improve consistency and reliability.
JerseySTEM is a mission-driven professional network of pro-bono contributors dedicated to improving access to STEM education and career pathways for underserved middle school girls in New Jersey. Members contribute their professional skills and leverage their networks in service of the organization's gender-equity agenda, operating remotely with a small volunteer base.
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.
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.