Please submit your resume in English and indicate your level of English. At Toloka, we connect smart, curious people from around the world with freelance online tasks that train and improve artificial intelligence. What we do The Toloka Annotators connects individuals with Generative AI projects from leading tech innovators. Our mission is to unlock the full potential of AI by involving real people from around the world in the development process. About the Role Annotation is what helps AI make sense of the world. As an annotator, you may be invited to take part in online projects such as rating AI-generated content, evaluating factual accuracy, or comparing responses - when projects are available. Responsibilities: - Carefully review provided data (text, images, or videos) - Label or classify content based on project guidelines - Identify and flag factually incorrect, sensitive, inappropriate, or unclear material Important note: This is project-based work. Tasks are available only when projects are active. You may be invited to one or more projects depending on your profile and current opportunities. Each project has its own compensation level based on scope and expertise required. On this project, AI trainers earn up to $23 per hour equivalent.

• Build end‑to‑end business applications using Power Apps (canvas and model‑driven) with integrated AI capabilities. • Develop, train, and deploy AI Builder models including document processing, prediction, classification, object detection, and generative AI features. • Design and orchestrate Azure AI Foundry solutions, including GPT‑4/4o models, embeddings, vector search, prompt flows, and evaluation pipelines. • Integrate Azure AI models with Power Apps and Power Automate using custom connectors, RESTAPIs, and Dataverse. • Create secure, governed, and scalable AI architectures aligned with enterprise standards. • Implement prompt engineering best practices, including grounding data, safety controls, and iterative evaluation. • Collaborate with business stakeholders to translate requirements into AI‑enabled workflows and applications. • Apply responsible AI principles, including bias mitigation, data privacy, and model monitoring. • Support ALM processes using GitHub or Azure DevOps for Power Platform solutions. • Troubleshoot, optimize, and continuously improve AI models and application performance.

• Design and maintain FastAPI backend services powering the data collection and delivery pipeline • Build and iterate React interfaces for internal teams, contributors, and clients • Architect AI-powered pipelines for quality assurance, classification, and dataset delivery • Own end-to-end feature delivery: backend logic, database schema, frontend interface, deployment • Ensure reliability, performance, and observability of async data processing pipelines • Collaborate closely with ML engineers, DevOps, and the data team to integrate AI systems into production • Set standards and best practices for AI-augmented engineering workflows • Contribute to internal tooling that accelerates team velocity and maintains production-grade quality

About the Job The Red Hat AI Customer Adoption and Innovation (CAI) team is looking for a North-America based Forward Deployed AI Engineer to join our rapidly growing AI Business Unit. As inference technologies become more mainstream, our customers are seeking deep expertise in optimization, scalability, and production readiness. In this role, you will act as a bridge between engineering and the customer's environment. You will be deployed to support lighthouse customer engagements, ensuring that Red Hat AI inference products are successfully implemented, tuned, and optimized to meet specific business requirements. We are looking for a hands-on practitioner who understands that technical implementation must serve a business constraint—whether that’s cost, latency, or throughput. You will work directly with customers to design and deploy and optimize complex AI inference solutions, while simultaneously capturing those lessons to enable our wider field teams. You must have significant experience (10+ years) as consultant or technical architect. You must also have a really good understanding of inference and inference optimization, as well as practical and relevant experience. While you will have the support of the wider CAI team to upskill on specific AI technologies, you must bring a strong consulting mindset and deep technical expertise in OpenShift or Kubernetes platform engineering as well as a deep understanding of LLMs, Generative AI, and Inference. This position can be remote, but the candidate has to be located in North America, United States preferred, and willing to travel as required, up to 20% of the time. What you will do - Lead Lighthouse Implementations: Lead the technical delivery for critical, high-profile customer Proofs of Concept (POCs) and production pilots. You will be the primary technical expert hands-on with the customer, helping them navigate the complexities of LLM inference in their specific clusters. - Optimization & Architecture: Provide expert advice on inference sizing, configuration, and resource management. You will guide customers on how to best configure their OpenShift environments to support computationally intensive AI workloads. - Field Enablement & Asset Creation: Enable our field teams by turning lessons from customer engagements into reusable assets. You will develop reference architectures, field manuals, and validated patterns that allow other AI specialists to execute similar engagements independently. - Stakeholder Communication: Translate technical metrics into business value. You will be expected to communicate effectively with both technical teams (DevOps, SREs) and business stakeholders to justify architecture decisions. - Product Feedback Loop: Act as a liaison between the customer and the Product and Engineering teams. You will ensure that real-world feedback regarding platform performance and usability is properly prioritized in the product roadmap. What you will bring - Consulting & Architecture Experience (10+ years’ experience): Proven experience in a technical consulting, professional services, or solutions architect role. You are comfortable leading the delivery of complex technical solutions and managing customer expectations in a post-sales or implementation environment. - Deep OpenShift or Kubernetes Expertise (5+ years’ experience): You possess extensive hands-on experience with OpenShift or Kubernetes. You deeply understand how to deploy, scale, and manage complex workloads, operator lifecycles, and resource quotas in a containerized environment. - Performance & Optimization Mindset: You have a background or strong interest in system performance. You understand concepts regarding latency, throughput, and efficient resource utilization. - Inference background (2+ years’ experience): You should already have familiarity with inference technologies such as Kserve, vLLM, and potentially llm-d. - Functional Python Skills: You are capable of reading and writing Python code to script automation or interact with necessary libraries. - Communication Skills: Excellent written and verbal communication skills in English. You can confidently present to audiences ranging from operations teams to business leadership. Preferred Experience (Bonus Points) - Familiarity with the AI Stack: Experience with tools like llm-compressor, guidellm, etc.. - Networking Knowledge: Understanding of networking concepts (L7/Gateway API) or high-performance computing networking. - Model Tuning Experience: Exposure to post-training techniques such as knowledge distillation, LoRA/QLoRA, or quantization. #LI-DL1 The salary range for this position is $116,270.00 - $191,840.00. Actual offer will be based on your qualifications. Pay Transparency Red Hat determines compensation based on several factors including but not limited to job location, experience, applicable skills and training, external market value, and internal pay equity. Annual salary is one component of Red Hat’s compensation package. This position may also be eligible for bonus, commission, and/or equity. For positions with Remote-US locations, the actual salary range for the position may differ based on location but will be commensurate with job duties and relevant work experience. About Red Hat Red Hat is the world’s leading provider of enterprise open source software solutions, using a community-powered approach to deliver high-performing Linux, cloud, container, and Kubernetes technologies. Spread across 40+ countries, our associates work flexibly across work environments, from in-office, to office-flex, to fully remote, depending on the requirements of their role. Red Hatters are encouraged to bring their best ideas, no matter their title or tenure. We're a leader in open source because of our open and inclusive environment. We hire creative, passionate people ready to contribute their ideas, help solve complex problems, and make an impact. Benefits ● Comprehensive medical, dental, and vision coverage ● Flexible Spending Account - healthcare and dependent care ● Health Savings Account - high deductible medical plan ● Retirement 401(k) with employer match ● Paid time off and holidays ● Paid parental leave plans for all new parents ● Leave benefits including disability, paid family medical leave, and paid military leave ● Additional benefits including employee stock purchase plan, family planning reimbursement, tuition reimbursement, transportation expense account, employee assistance program, and more! Note: These benefits are only applicable to full time, permanent associates at Red Hat located in the United States. Inclusion at Red Hat Red Hat’s culture is built on the open source principles of transparency, collaboration, and inclusion, where the best ideas can come from anywhere and anyone. When this is realized, it empowers people from different backgrounds, perspectives, and experiences to come together to share ideas, challenge the status quo, and drive innovation. Our aspiration is that everyone experiences this culture with equal opportunity and access, and that all voices are not only heard but also celebrated. We hope you will join our celebration, and we welcome and encourage applicants from all the beautiful dimensions that compose our global village. Equal Opportunity Policy (EEO) Red Hat is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law. Red Hat does not seek or accept unsolicited resumes or CVs from recruitment agencies. We are not responsible for, and will not pay, any fees, commissions, or any other payment related to unsolicited resumes or CVs except as required in a written contract between Red Hat and the recruitment agency or party requesting payment of a fee. Red Hat supports individuals with disabilities and provides reasonable accommodations to job applicants. If you need assistance completing our online job application, email application-assistance@redhat.com. General inquiries, such as those regarding the status of a job application, will not receive a reply.