Freelance AI Workflow Engineer | Remote Opportunity

Mindrift seeks a Freelance AI Workflow Engineer to join the Tendem project as an AI Pilot. This part-time, remote role centers on building automation systems powered by Large Language Models (LLMs) in collaboration with Tendem Agents, who manage repetitive tasks. The focus is on prompt engineering, workflow design, and maintaining quality throughout each sol…

Join anyone-ai as an AI Software Engineering Trainer, where you will play a pivotal role in shaping the future of AI education. Your expertise in software engineering and AI technologies will help guide aspiring professionals in mastering cutting-edge methodologies.As part of our innovative team, you will be responsible for developing and delivering training programs, creating engaging content, and mentoring participants to achieve their career goals in AI.

Mindrift is seeking talented AI Workflow Engineers to contribute to the Tendem project (https://tendem.ai/), where you will develop intelligent automation systems driven by large language models (LLMs) within a collaborative AI and human environment.In this position, referred to as an AI Pilot at Mindrift, you will work alongside Tendem Agents responsible for repetitive tasks. Your role will involve applying structured reasoning, prompt engineering skills, and quality assurance to create scalable and dependable AI-enabled workflows.This part-time remote role is perfect for professionals with practical experience in LLM integration, prompt design, and AI-driven automation systems.About MindriftThe Mindrift platform connects experts with AI projects from leading technology innovators. Our goal is to harness the capabilities of Generative AI by leveraging real-world expertise from around the world.Role OverviewThis freelance opportunity within the Tendem project requires you to design, construct, and enhance workflows that incorporate LLM APIs, establishing scalable systems for content generation, communication, and automation.Key ResponsibilitiesDesign and assess workflows that integrate LLM APIs (OpenAI, Claude, Gemini, or similar).Create and enhance AI-powered automation systems for content generation, enrichment, and communication.Develop and optimize prompt frameworks to ensure consistent, high-quality outputs throughout workflows.Establish systems for personalized automated outreach (email, messaging flows, lead enrichment).Structure and preprocess data to guarantee stable model behavior and reliable outputs.Analyze and enhance AI-driven pipelines for scalability, efficiency, and accuracy.

About Prosper AIProsper AI is at the forefront of innovation, specializing in AI Phone Agents designed for the healthcare sector. Our mission is to deliver human-like expertise while dramatically reducing operational costs. Our AI Agents efficiently manage a variety of tasks such as patient outreach, claims status inquiries, benefit verifications, prior authorizations, scheduling, and balance reminders. We are dedicated to eliminating $200 billion in administrative waste, enabling healthcare professionals to devote more time to patient care instead of administrative duties.Your RoleJoin us at Prosper as we redefine the capabilities of real-time AI technology. As a Software Engineer, your primary focus will be on designing and scaling our robust platform, including low-latency speech and LLM pipelines, orchestration layers, and reliability systems that empower our AI voice agents to engage in complex healthcare conversations with clarity and efficiency. This position is a full-time, on-site opportunity based in Barcelona with the potential for relocation to our New York office.Qualifications1-3 years of hands-on experience in developing end-to-end software solutions, from architecture to deployment.Proficiency in technologies that drive our stack, particularly FastAPI (Python) for backend development and React (TypeScript) for frontend.Experience in managing large-scale distributed systems with asynchronous workload orchestration.Familiarity with LLMs, AI agents, or other machine learning models is advantageous; we utilize Pipecat for our voice agents.A founder mindset: take ownership and work diligently, viewing Prosper as a stepping stone to your future entrepreneurial endeavors.Prepared to tackle the complexities of deploying AI voice agents for thousands of daily calls.Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, Physics, or a related field (or equivalent experience).Interview ProcessInitial conversation to discuss your background, aspirations, and career goals (30 minutes).Completion of a take-home challenge to be reviewed in the subsequent interview.Discussion of your solution with our engineering team to evaluate your approach and thought process.

About Stack AIStack AI is on a mission to make Large Language Models accessible to everyone through an intuitive no-code platform that seamlessly integrates leading AI models (OpenAI, Anthropic, Google), various data sources (OneDrive, Google Drive, Notion), and essential SaaS tools. With the backing of Y Combinator and Gradient Ventures, we have amassed thousands of users and secured hundreds of paying clients, including prominent public companies and unicorns.The RoleWe are seeking a talented Senior Frontend Engineer who excels in execution. This role focuses on optimizing and enhancing existing features rather than creating flashy new ones. You will collaborate closely with our Product Design team to transform detailed visual specifications into clean, production-ready code.Main Mission: Alleviate bottlenecks within our Product Design team by taking charge of incremental UX/UI enhancements to our current features and codebase.What You'll DoOptimize and enhance existing frontend code and features.Implement gradual UX/UI enhancements based on detailed design specifications (no design skills required).Work independently with minimal code review—your code should be clean and dependable enough for others to trust without hesitation.Collaborate with Product Designers and Engineers to ensure effective execution.Focus on impactful improvements that enhance product quality and user experience.Refactor and improve legacy code.What We're Looking ForMust-haves:Exceptional code quality: Produce clean, maintainable, and trustworthy code that requires minimal review.Strong execution: Ability to ship quickly and effectively.Senior-level experience: Over 5 years of experience with React, TypeScript, Next.js, and modern frontend technologies.Accountability: You take ownership of your decisions and act responsively.Autonomy: You can manage features from start to finish without needing guidance.Pragmatism: You are ready to engage in detail-oriented, iterative work critical to product success.Technical excellence: A mentor who can share knowledge rather than someone who needs to be taught.Nice-to-haves:Experience with additional frameworks or tools.Familiarity with agile methodologies.Passion for user experience and design.

We invite you to submit your CV in English, along with your level of English proficiency.Mindrift connects talented professionals with project-based AI opportunities for top technology companies, focusing on the testing, evaluation, and enhancement of AI systems. This is a project-based engagement, not a permanent position.Opportunity OverviewEach project presents unique challenges, and contributors may be involved in tasks such as:Crafting original computational engineering problems that emulate real-world engineering processes;Developing programming challenges using Python to carry out engineering calculations and simulations;Ensuring that problems are computationally demanding and necessitate numerical methods or iterative solutions;Creating scenarios involving system design, optimization, and analysis;Formulating problems based on genuine research challenges or real-world engineering applications;Validating solutions using Python with standard engineering libraries;Clearly documenting problem statements and providing verified correct answers.Candidate ProfileThis role is suitable for engineers with experience in Python, looking for part-time, non-permanent project work. Ideal candidates will possess:A degree in Electrical Engineering or related disciplines;Proficiency in Python for numerical validation. Familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or any programming language is acceptable;At least 2 years of professional experience, including applied, research, or teaching roles;A solid understanding of practical engineering limitations and approximations;Excellent written English skills (C1 or higher);Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience with international or applied projects is a plus.Application ProcessApply → Pass qualifications → Join a project → Complete tasks → Get compensatedProject Time CommitmentTasks for this project are estimated to require approximately 10-20 hours per week during active phases, depending on project demands. This is an estimate and not a guaranteed workload.CompensationParticipants can earn up to $31 per hour, based on their experience and contribution pace. Compensation varies across different projects based on scope, complexity, and required expertise. Please note that other projects on the platform may offer different compensation levels based on their specific requirements.

Role overview Anyone AI seeks experienced software engineers to serve as AI Software Engineering Trainers. This is a remote, part-time consulting position for candidates based in Spain. Trainers collaborate with a prominent AI laboratory, shaping authentic engineering tasks and evaluating solutions for technical quality and depth. What you will do Create and implement multi-file coding challenges that cover bug fixes, new features, refactoring, and test development. Write clear, thorough specifications along with reference implementations. Develop and expand unit and integration test suites. Review peer-created tasks for technical accuracy and clarity. Identify edge cases, ambiguities, and potential failure points in both code and requirements. Ensure alignment between specifications, code, and expected outputs. Expected outcomes Deliver solutions that are production-ready and meet recognized industry standards. Requirements Exceptional written English for professional communication. 3 to 7 years of hands-on software engineering experience. Proficiency in Python and JavaScript or TypeScript. Knowledge of Java, C#, or Go is a plus. Background in backend or full-stack development for production environments. Experience with testing frameworks such as pytest, Jest, JUnit, xUnit, or Go testing tools. Ability to work with large, multi-file codebases and debug complex issues. Track record of code reviews, refactoring, and managing production migrations. Engagement details Part-time, project-based consulting arrangement. Fully remote role based in Spain.

We invite you to submit your CV in English and indicate your English proficiency level.Mindrift offers a unique platform that connects talented specialists with project-based AI opportunities at leading technology firms, focusing on the testing, evaluation, and enhancement of AI systems. Please note that participation is project-based and does not constitute permanent employment.Role OverviewWhile each project presents distinct challenges, contributors can expect to:Design innovative computational engineering problems that replicate genuine engineering processes;Create scenarios that necessitate Python programming to resolve engineering calculations and simulations;Ensure tasks are computationally demanding and require numerical methods or iterative solutions;Develop challenges related to system design, optimization, and analysis;Base scenarios on authentic research challenges or practical engineering applications;Validate solutions using Python with established engineering libraries;Clearly document problem statements and provide verified correct answers.Ideal Candidate ProfileThis position suits engineers proficient in Python who are interested in part-time, non-permanent projects. Ideal candidates will possess:A degree in Mechanical Engineering or a related field;Proficiency in Python for numerical validation. Familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or any domain-specific programming languages is also acceptable;At least 2 years of professional experience in applied engineering, research, or teaching;A solid understanding of practical engineering limitations and approximations;Strong written English skills (C1+ level);Professional certifications (e.g., CMME, SAS, CAP) and experience in international or applied projects are advantageous.Project WorkflowApplication → Qualification Process → Project Engagement → Task Completion → PaymentProject Time CommitmentFor this project, participants can expect to dedicate approximately 10–20 hours per week during active phases based on project needs. This is an estimate and not a guaranteed workload while the project is active.CompensationContributors on this project can earn up to $31 per hour, depending on their expertise and contribution pace. Compensation will vary by project based on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earnings based on their specific requirements.

Toloka AI seeks a freelance AI trainer with experience in civil engineering and Python programming. This role focuses on training AI systems by combining technical engineering knowledge with hands-on coding skills. Responsibilities Use civil engineering expertise and Python programming to support AI training projects. Handle a variety of assignments that help advance AI technology. Collaborate with an international team while working remotely. Location This position is fully remote, based in València, Valencian Community, Spain.

Join Prosper AI as an AI StrategistLocation: Barcelona (On-site)Type: Full-timeAbout Prosper AIAt Prosper AI, we are revolutionizing healthcare through our innovative AI Phone Agents that provide human-like expertise while drastically cutting costs. Our AI agents streamline administrative tasks such as patient scheduling, claims status checks, and benefit verifications, aiming to eliminate $200 billion in administrative waste, thus allowing healthcare professionals to concentrate more on patient care.About the RoleAs an AI Strategist, you will be pivotal in deploying and optimizing our AI agents across some of the most intricate healthcare organizations globally. You will lead strategic initiatives from configuration to full-scale production, ensuring measurable impacts for our clients. Your insights will help refine our external deployments and internal best practices.Key ResponsibilitiesOversee the complete deployment of AI agents on Prosper AI’s platform for U.S. healthcare clients, including hospitals and clinics.Collaborate with clients and internal teams to map out administrative workflows and pinpoint areas ripe for AI-driven automation.Evaluate deployment performance data to identify challenges and promote continuous improvement.Create and enhance internal playbooks and frameworks to expedite future deployments.Transform complex operational challenges into actionable strategies that connect technology with healthcare operations.Who You AreHolds a Bachelor’s degree or higher in Computer Science, Engineering, Business, Economics, or a related field.Possesses strong analytical skills with the ability to dissect complex processes for AI impact.Demonstrates a passion for the convergence of AI, healthcare, and operations.Thrives in a dynamic startup environment with evolving priorities and significant ownership.Bonus: Familiarity with healthcare workflows, LLMs, automation tools, or enterprise software deployments is a plus.

Join the cutting-edge AI Special Forces team at Darwin AI! We are seeking a driven and enthusiastic AI Engineer who is passionate about leveraging technology to provide exceptional support to our clients. This role is ideal for individuals who thrive on solving complex problems and have a keen interest in the intricacies of technology and artificial intelligence.As an AI Engineer, you will be at the forefront of client interactions, serving as the primary resource for resolving challenges related to AI agents and their integration with external systems. Your responsibilities will involve direct communication with clients to address inquiries, troubleshoot issues, and collaborate with internal teams including Customer Success, Onboarding, Product, and Engineering to ensure timely and comprehensive resolutions. Your contributions are vital in fostering strong client relationships and enhancing the overall Darwin AI experience.Key Responsibilities:Promptly respond to customer inquiries through WhatsApp, email, and Slack, ensuring high levels of satisfaction.Diagnose and resolve technical issues, particularly those involving AI behavior, configurations, and API integrations.Monitor alerts from internal tools and customer feedback on the Darwin platform to take necessary actions.Collaborate closely with Product and Engineering teams, escalating complex challenges and contributing to product enhancements.Maintain detailed documentation of support activities to ensure accurate tracking of issues and solutions.Identify recurring problems and assist in developing internal documentation and FAQs.Work alongside Customer Success and Onboarding teams to ensure a seamless client journey.Review AI conversations to uncover bugs or areas for improvement.Ensure all critical feedback and issues are addressed within the specified SLA.

Join Mindrift as a Freelance DevOps Engineer (Automation Systems) to contribute to our innovative Tendem project (https://tendem.ai/). In this role, you will be instrumental in architecting and sustaining a robust infrastructure that supports automated workflows within a hybrid AI and human-centric environment.As an AI Pilot, you will work closely with Tendem Agents who manage repetitive tasks, leveraging your expertise in infrastructure management, system reliability, and performance optimization to ensure efficient and scalable automation pipelines.This part-time remote position is perfectly suited for seasoned professionals with a proven track record in cloud infrastructure, system deployment, and high-load automation environments.

We invite you to submit your CV in English and specify your English proficiency level.Mindrift connects talented professionals with project-based opportunities in AI for top tech companies, with a focus on testing, evaluating, and enhancing AI systems. Please note that this is a project-based role rather than a permanent position.Role Overview:While each project presents distinct challenges, contributors may be tasked with:Crafting original computational physics challenges that emulate genuine physics research workflows;Developing problems that necessitate Python programming for solutions (utilizing libraries such as Numpy, SciPy, Sympy);Ensuring that the problems are computationally intensive and cannot be manually resolved within a reasonable time frame (days/weeks);Creating problems that require complex reasoning in areas such as mechanics, electromagnetism, thermodynamics, and quantum mechanics;Formulating challenges based on authentic research issues or practical applications in physics;Validating solutions using Python with standard physics simulation libraries;Providing comprehensive documentation for problem statements along with verified correct answers.Qualifications:This opportunity is ideal for optical engineers with Python experience who are open to part-time, non-permanent projects. Preferred qualifications include:A degree in Physics (Theoretical, Experimental, or Computational) or related disciplines;Proficiency in Python for numerical validation. Familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata, or knowledge of any programming language can be regarded as equivalent;At least 2 years of professional experience, which may include applied, research, or teaching roles;Experience in numerical simulation methods;Capability to design problems that reflect real-world physics research workflows;Innovative thinking in problem design across various physics sectors;Understanding of physics modeling and approximation techniques;Strong written English skills (C1+).Application Process:Apply → Complete qualifications → Join a project → Execute tasks → Receive payment.Project Commitment:For this project, tasks are estimated to demand approximately 10–20 hours per week during active phases, depending on project needs. This is an estimate and not a guaranteed workload, applicable only while the project is in progress.Compensation:Contributors can earn up to $29 per hour, based on their contribution level and pace. Compensation may differ across projects according to scope, complexity, and required expertise. Be aware that other projects on the platform may present varying earning levels based on their requirements.

Prosper AI creates AI Phone Agents tailored for the healthcare sector. These agents support tasks such as patient communications, claims status checks, benefits verification, prior authorization management, and appointment scheduling. The company aims to reduce administrative waste in healthcare, freeing up professionals to focus on direct patient care. Role overview The Forward Deployed Engineer will contribute to advancing Prosper AI’s real-time voice agent technology. This position focuses on building agents that communicate effectively and integrate smoothly with client systems. High performance and low latency are essential requirements. Collaboration with AI Product Managers is a key part of the role, identifying technical enhancements and fine-tuning agent performance to match each client’s needs. Location This is a full-time role based in Barcelona. There may be future opportunities to transfer to the New York office.

Anyone AI seeks experienced Backend Developers based in Spain to support a high-profile AI laboratory project. This remote, part-time role centers on expert evaluation tasks and the creation of realistic software engineering exercises. Role overview As a Backend Developer - AI Trainer, the primary focus is on designing and assessing complex coding challenges. Tasks include bug fixes, feature development, refactoring, migrations, and test generation. The position involves both creating coding scenarios and reviewing peer submissions for accuracy and quality. Responsibilities Design and implement multi-file coding assignments covering bug resolution, new features, refactoring, and testing Write clear, natural-language specifications and provide reference implementations Develop and improve unit and integration test suites Review and evaluate peer-generated tasks for correctness, clarity, and realism Identify edge cases, ambiguities, and potential failure points Ensure alignment between specifications, code, and expected results Requirements Exceptional written English skills 3–7 years of experience in software engineering Advanced proficiency in Python and JavaScript or TypeScript; familiarity with Java, C#, or Go is a plus Background in backend or full-stack development within production settings Knowledge of testing frameworks such as pytest, Jest, JUnit, xUnit, or Go testing Strong debugging skills and the ability to navigate large, multi-file codebases Experience with code reviews, refactoring, and production migrations Engagement details Part-time, project-based work Remote from anywhere in Spain Expected outcomes Deliver high-quality, production-ready coding tasks that meet industry standards

Mindrift brings together subject matter experts and AI projects from top technology companies. The team collaborates globally to apply real-world knowledge to Generative AI work. Role overview This freelance, part-time position focuses on the Tendem project. Based in València or working remotely from the Valencian Community in Spain, the Low-Code Automation Engineer will design, build, and refine automation workflows. The role uses platforms like Make.com and n8n, along with JavaScript, to connect and optimize business systems. What you will do Create and review complex automation workflows for various business tools and platforms. Develop and enhance workflows using low-code platforms such as Make.com and n8n, along with APIs, webhooks, and event-driven logic. Integrate custom JavaScript to manage advanced logic, data transformations, and edge cases within automation tools. Connect and synchronize data across systems like Airtable, Google Sheets, Notion, and CRMs. Implement error handling, logging, and backup strategies to keep workflows running reliably. Troubleshoot and optimize automations to minimize failures and improve efficiency. Support automation of communication and operational processes, including messaging, outreach, and notifications. Who this role suits This position is well suited to professionals with experience in low-code automation, workflow design, and JavaScript customization. Strong problem-solving abilities and attention to quality assurance are important for success. Compensation Contributors can earn up to $50 per hour, depending on expertise and level of contribution. Actual rates vary by project scope, complexity, and required skills. Other Mindrift projects may offer different rates based on their needs.

Join leadtech as an AI Product Engineer, where you will play a pivotal role in shaping the future of AI-driven products. You will be responsible for designing, developing, and implementing cutting-edge AI solutions that enhance user experiences and drive innovation.Your expertise in AI technologies will be crucial in collaborating with cross-functional teams to deliver high-quality products that meet market demands. This is an exciting opportunity to work in a dynamic environment, pushing the boundaries of what is possible with artificial intelligence.

Mindrift is actively seeking talented Low-Code Automation Engineers skilled in Make.com / n8n and JavaScript to contribute to our innovative Tendem project. In this role, which we refer to as an AI Pilot at Mindrift, you will collaborate with Tendem Agents to streamline repetitive tasks while providing your automation expertise, structured thinking, and quality control to ensure the efficient execution of workflows across diverse systems.This part-time remote opportunity is perfect for professionals with practical experience in low-code automation platforms, workflow design, and JavaScript customization.About MindriftThe Mindrift platform connects experts with cutting-edge AI projects from leading tech innovators. Our mission is to harness the power of Generative AI by leveraging real-world expertise from around the globe.Role OverviewAs a Freelance Low-Code Automation Engineer, you will design, implement, and enhance sophisticated automation workflows across various platforms, ensuring reliable performance, scalability, and effective data management within integrated systems.Key ResponsibilitiesDesign and assess complex automation workflows across various business tools and platforms.Develop and optimize workflows using low-code platforms (Make.com, n8n), APIs, webhooks, and event-driven logic.Utilize custom JavaScript within automation tools for advanced logic, transformations, and handling edge cases.Link and synchronize data across platforms like Airtable, Google Sheets, Notion, and CRMs.Ensure the reliable execution of workflows with effective error management, logging, and fallback strategies.Troubleshoot and enhance automation performance, minimizing failures and optimizing efficiency.Facilitate the automation of communication and operational workflows, including messaging, outreach, and notifications.CompensationContributors to this project can earn up to $50 per hour, depending on their experience and contribution pace. Please note that compensation may vary across projects based on their specific requirements and complexity.

Post-Sales · Customer-Facing · TechnicalOverviewThe AI Deployment Engineer at CrewAI is a pivotal post-sales technical role dedicated to transforming signed agreements into successful production implementations. You will manage the complete technical relationship with enterprise clients—from initial onboarding and integration through to production deployment, optimization, and ongoing expansion.This position is perfect for individuals who derive immense satisfaction from tackling challenging infrastructure and integration issues, forging lasting partnerships with customer engineering teams, and ensuring that multi-agent AI systems deliver significant business value at scale.Key ResponsibilitiesTechnical Implementation & IntegrationOversee the technical integration of CrewAI's platform into client systems, which includes API integrations, data pipelines, authentication flows, and tailored workflows.Create and uphold robust, scalable solutions customized to each client's infrastructure needs, utilizing extensive knowledge in Python, the Agentic AI Stack, and cloud platforms.Diagnose intricate technical challenges during and post-implementation—ranging from container orchestration and networking issues to LLM configuration and tool integrations—delivering timely resolutions and thorough root cause analyses.Deployment & Production OperationsDesign and integrate custom agents, tools, and processes utilizing Python in conjunction with CrewAI's open-source and enterprise libraries.Supervise deployed solutions for performance, reliability, and business impact, swiftly iterating on agent roles and workflows to accommodate evolving client requirements.Customer Success & Relationship ManagementServe as the primary technical contact for a portfolio of enterprise clients post-sale, cultivating deep, trusted relationships with their engineering and leadership teams.Conduct structured onboarding programs, technical workshops, and training sessions to enhance product adoption and promote self-sufficiency.Proactively identify opportunities for expansion by grasping clients' evolving business goals and aligning them with additional CrewAI capabilities.Collaborate with Customer Success Managers and Support Engineers to ensure seamless operations and maximize retention.Documentation & Feedback LoopDevelop and maintain deployment runbooks, best practices guides, architecture documentation, and customer-specific technical references.Provide structured, actionable feedback to Product and Engineering based on real-world deployment experiences, challenges, and feature requests.Contribute to internal tooling, automation, and processes that enhance deployment efficiency and customer experience at scale.

Join our elite AI Special Forces team at Darwin AI! We are seeking a dynamic and enthusiastic AI Support Specialist who is committed to providing rapid, effective, and high-quality assistance to our clients. If you are passionate about technology and AI, and enjoy tackling challenges head-on, this role is a perfect fit for you.As an AI Support Specialist, you will be instrumental in addressing client inquiries and resolving issues related to their AI agents. You will serve as the frontline for clients needing assistance with technical problems and system integrations. Your ability to troubleshoot effectively and collaborate with teams across Customer Success, Product, and Engineering will ensure that our clients receive exceptional support and maintain a strong relationship with Darwin AI.Your responsibilities will include:Responding to customer inquiries through platforms such as WhatsApp, email, and Slack, ensuring swift responses and high satisfaction rates.Troubleshooting and resolving technical issues, particularly those involving AI behavior, configuration, and API integrations.Monitoring alerts from internal tools and acting upon customer feedback submitted through the Darwin platform.Collaborating closely with Product and Engineering teams to escalate complex issues and contribute to product enhancements.Documenting support activities in our systems to maintain accurate records of issues and solutions.Identifying recurrent issues and assisting in the development of internal documentation and FAQs.Teaming up with Customer Success and Onboarding to provide a seamless customer experience.Auditing AI interactions to discover bugs or areas for improvement.Ensuring that all critical feedback and issues are resolved within agreed service level agreements (SLAs).