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Location: Ebene Workplace: OnSite Company Description We’re http://checkout.comCheckout.com http://Checkout.com. You might not know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we’re behind many of the digital experiences you use every day. We are where the world checks out, enabling over 10 billion transactions yearly for more than one billion global shoppers. Whether you want to book a holiday, order food, renew a subscription, or check out online, there’s a good chance our tech powers the payments behind the scenes. Our platform helps the most ambitious businesses deliver effortless digital experiences, at scale. If you want to do career-defining work, you’ve come to the right place. We move fast, think globally, and believe great teams are built by hiring exceptional people with conviction, curiosity, and the desire to make an impact. With 20 offices across six continents and London as our HQ, we’re shaping the future of fintech – and we’re just getting started. Checkout.com http://Checkout.com's Process Architecture pillar designs how operations should work. This role builds what that looks like in practice. You'll use modern AI-assisted development tools, Cursor, Claude Code, n8n, and LLM APIs, to rapidly prototype and ship internal tools that eliminate manual effort across our operational teams. Your primary customers are Disputes, Due Diligence, and Transaction Monitoring: high-volume, high-stakes teams where the right automation meaningfully reduces analyst burden and improves decision quality. You'll move fast. You'll take processes that currently live in spreadsheets and manual case queues and turn them into something that mostly runs itself. Process Architects redesign how work flows; you make the new flow real. What You'll Do - Use AI-assisted development (Cursor, Claude Code) to prototype and ship tools for operational teams - fast. - Build workflow automations that connect case management systems, document stores, APIs, and LLMs into end-to-end pipelines - Create analyst-facing interfaces, triage tools, summary generators using self-built applications, Retool, or similar. - Apply LLMs where they reduce cognitive load: classification, case summarisation, structured extraction, decision support. - Embed with Disputes, CDD, Periodic Review, and Transaction Monitoring to learn how analysts actually work - not how the process doc says they do. - Translate vague pain points i.e "this part takes forever" into shipped tools in days or weeks, not quarters. - Demo early, iterate based on what analysts actually use versus ignore. - Treat every tool as a product: instrument usage, capture feedback, measure time saved or quality gained. - Document what you build and share reusable patterns so good ideas compound. What We're Looking For We care more about what you've built and how you think than years of experience or formal credentials. Must-haves - You've used Cursor, Claude Code, Copilot, or similar to build something real, a script, a tool, a side project, that solved an actual problem. Not just tutorials - Comfortable in Python, or willing to be within weeks. - Basic API fluency: you can read a doc, make a request, parse the response, and chain a few calls - Familiarity with at least one LLM API. You've written a prompt, gotten structured output back, and understood why it sometimes goes wrong - Bias to ship - you'd rather get a rough version in front of users on Friday than a polished version in three weeks - Curiosity. You're the kind of person who opens the hood - you want to understand how things work, not just use them Nice-to-haves - Workflow automation tools (Zapier, n8n, Make) - Retool, Gradio, or similar lightweight UI frameworks - Git, basic SQL, or comfort with JSON/CSV at scale - Exposure to payments, fraud, compliance, or risk operations - even tangentially - A portfolio, GitHub, or demo you can walk us through Additional Information Bring all of you to work We create the conditions for high performers to thrive, through real ownership, fewer blockers, and work that makes a difference from day one. Here, you’ll move fast, take on meaningful challenges, and be recognized for the impact you deliver. It’s a place where ambition gets met with opportunity, and where your growth is in your hands. We work as one team, and we back each other to succeed. So whatever your background or identity, if you’re ready to grow and make a difference, you’ll be right at home here. It’s important we set you up for success and make our process as accessible as possible. So let us know in your application, or tell your recruiter directly, if you need anything to make your experience or working environment more comfortable. Life at Checkout.com http://Checkout.com We understand that work is just one part of your life. Our hybrid working model offers flexibility, with three days per week in the office to support collaboration and connection. Curious about what it’s like to be part of our team? Visit our Careers Page https://www.checkout.com/careers to learn more about our culture, open roles, and what drives us. For a closer look at daily life at Checkout.com http://Checkout.com, follow us on LinkedIn https://www.linkedin.com/company/checkout/life/ and Instagram https://www.instagram.com/checkout_com/

Задачи: стратегия и архитектура LLM, внедрение и масштабирование моделей, управление командой инженеров, обеспечение безопасности и интеграция AI-решений в бизнес-процессы.

Location: Monterrey, Mexico; Montevideo, Uruguay; Remote.AR, Remote.LATAM-country; Remote.BR, Brazil; Remote.CO, Colombia; Rosario, Remote.LATAM-country We are looking for a Senior AI Lead who will act as the primary AI consultant within the organization and help shape the vision, roadmap, and execution of AI initiatives. You will work across stakeholders and delivery teams to guide responsible AI adoption and establish a sustainable AI practice. The AI Practice is focused on building a sustainable AI capability within an enterprise environment and connecting AI initiatives to measurable business impact. It covers strategy, roadmap planning, solution delivery, governance, and adoption enablement across business units. Serve as the primary AI consultant within the organization to identify opportunities for AI driven innovation Develop and drive the AI strategy aligned with business goals Lead the assessment prioritization and roadmap planning of AI initiatives across business units Collaborate with product owners data scientists engineers and business stakeholders to scope design and deliver AI solutions Provide guidance on AI technologies frameworks and architectures including LLMs RAG AI agents prompt engineering and MLOps pipelines Ensure AI projects align with business objectives maintain technical quality and follow ethical AI principles Mentor AI team members to build internal capabilities and support knowledge sharing Track AI trends tools and emerging technologies to support continuous improvement and innovation Manage stakeholder expectations and communicate roadmap progress benefits risks and delivery outcomes Champion AI adoption through workshops demos and enablement sessions Define and track KPIs adoption metrics and ROI frameworks for AI initiatives Establish AI governance frameworks usage policies and guardrails for responsible AI adoption Guide the evolution toward an Agentic SDLC model across software development workflows Drive change management activities to support AI augmented and agent orchestrated ways of working 7+ years of experience in AI consulting solution architecture or related roles with leadership responsibilities Experience with AI and ML technologies including LLMs NLP computer vision conversational AI RAG architectures and MLOps Experience driving AI initiatives from ideation through design and implementation in enterprise environments Experience working with clients and executive leadership to translate business needs into AI solutions Hands on collaboration experience with development teams and data scientists across the AI and ML toolchain including Python PyTorch TensorFlow Jupyter Git and CI/CD pipelines Understanding of AI ethics data privacy and responsible AI principles Experience designing and delivering AI training enablement programs or internal advocacy initiatives that drive measurable adoption Familiarity with AI governance frameworks and organizational policy development for responsible AI use Understanding of Agentic SDLC methodologies and AI native delivery practices Advanced degree in Computer Science AI Data Science or a related field or equivalent professional experience Experience with cloud AI platforms such as AWS SageMaker Bedrock and Amazon Q Developer Experience with cloud AI platforms such as Azure OpenAI Service Azure AI Studio and Cognitive Services Experience with cloud AI platforms such as Google Cloud Vertex AI Gemini API and Document AI Experience with AI lifecycle management and MLOps platforms such as MLflow Kubeflow Weights & Biases and SageMaker Pipelines Experience with AI orchestration and agent frameworks such as LangChain LangGraph CrewAI AutoGen Semantic Kernel and Haystack Familiarity with vector databases and retrieval infrastructure such as Pinecone Weaviate Chroma Qdrant pgvector and Elasticsearch with kNN

Location: Lendava, Slovenia D-ploy is a leading IT and Engineering Solutions company with operations worldwide. Our mission is to deliver innovative and D-ploy is an IT and Engineering Solutions company with operations throughout the EMEA region including Switzerland, Germany, Czech Republic, Austria, UK, as well as the USA. We pride ourselves on delivering innovative and superior services and solutions to numerous industry-leading clients. By building relationships and trusted partnerships within the IT community, we optimize our customer‘s IT productivity and contribute to the organization’s success and value. We are interested in talking to engaging, flexible, and solution-oriented individuals who are looking to become a part of a dynamically growing and international organization. We are focused on creating value where IT counts, join us! Responsibilities Onsite IT/OT support including break/fix for thin clients, IPCs, handhelds, and lab equipment Local hands-and-feet support for global IT teams Troubleshooting automation and production systems (PLC, SCADA, OT networks) Support for software upgrades, patching, and backups in lab/OT environments Incident, problem, and change management (ITIL-based) Compliance with CSV, GxP, and data integrity procedures Participation in disaster recovery and business continuity planning Requirements Bachelor's in IT, Engineering, or related field 5+ years of IT/OT support experience in regulated environments Experience with industrial IT systems, SCADA/PLC, and lab software Networking knowledge (VLAN, Firewall, Routing) ITIL process knowledge; ServiceNow/Remedy ticketing Database Troubleshooting Experience MSSQL Available for onsite support and 24/7 on-call rotation Fluency in Slovenian and English (both written and spoken) is essential. Candidate must declare Criminal Record no older than 3 months. Benefits Broad range of activities, tasks, and projects Flexible working conditions Vouchers (B-day voucher, wedding, and new born surprise) Fishing for Friends program – our referral program Refreshments in the D-ploy office Further development and professional advancement Friendly and international working environment Company-sponsored events Is IT in your DNA?

Location: Al Jubail, Saudi Arabia We are seeking an experienced Gear Pump Subject Matter Expert (SME) with more than 20 years of experience in polymer processing plants and polymer equipment. The successful candidate will provide specialized technical expertise in the removal, installation, overhauling, troubleshooting, commissioning, and operation of MAAG Vacorex VX450/560 gear pumps and associated polymer processing equipment. The candidate must have hands-on experience with DOW solution technology and back-end systems, including pelletizers, extruders, and gearboxes. Requirements Lead and provide technical guidance for the removal, lifting, dismantling, cleaning, inspection, and reinstallation of gear pumps. Perform troubleshooting, overhauling, commissioning support, and test runs for MAAG Vacorex VX450/560 gear pumps. Carry out packing/seal replacement and timing gear adjustments. Diagnose and resolve gear pump and gearbox operational issues. Support commissioning, start-up, and normal operation using DOW solution technology. Provide technical support for associated back-end systems, including pelletizers and extruders. Ensure proper installation, alignment, equipment integrity, and safe execution of maintenance activities. Provide specialist recommendations and practical guidance to the maintenance and turnaround teams. Mandatory Qualifications and Experience More than 15 years of experience in polymer processing plants and polymer equipment. Proven hands-on experience in gear pump removal, installation, troubleshooting, lifting, cleaning, and testing. Direct experience with MAAG Vacorex VX450/560 gear pump overhauling. Experience with DOW solution technology for commissioning, start-up, and normal operation. Experience with packing replacement and timing gear adjustment. Working knowledge of gearboxes, extruders, pelletizers, and polymer plant back-end systems.

Location: United States; Germany; The Netherlands Workplace: Remote PROGRAM OVERVIEW The ClickHouse PhD Research Internship Program offers doctoral students the opportunity to pursue ambitious research alongside ClickHouse Labs researchers and engineers working on some of the most interesting challenges in databases, systems, and data infrastructure. Research interns join ClickHouse Labs for approximately 10-12 weeks to explore meaningful research questions, develop new ideas, and investigate technologies that have the potential to advance both the broader research community and the future of ClickHouse. The program is intentionally designed around research collaboration. Interns are paired with experienced researchers and have the opportunity to pursue work that aligns with their academic interests, ongoing research, and areas of interest within ClickHouse Labs. In some cases, an internship may build on research, a prototype, or a system the student has already begun exploring at their university. We believe the strongest research relationships extend beyond a single summer. Interns may continue their work after returning to their university through academic research, open-source contributions, publications, or other forms of collaboration. Where there is a strong mutual fit, an internship may become the beginning of a longer-term relationship between the researcher, ClickHouse Labs, and the broader academic community. During their internship, researchers will have the opportunity to work closely with ClickHouse Labs, engage with ClickHouse's open-source technology and engineering community, share their findings, and contribute to the intellectual life of the broader research community. Program length: 10-12 weeks, with flexibility based on academic calendars and research needs Typical timing: Summer, beginning approximately June 1 Locations: Opportunities available across the US and Europe, subject to role and employment requirements. Remote first. Research environment: ClickHouse Labs Internship format: Research-focused, mentor-supported, and shaped around areas of mutual research interest Compensation: commensurate with experience, a monthly stipend will be paid RESEARCH AT CLICKHOUSE LABS ClickHouse Labs explores ambitious ideas at the intersection of databases, distributed systems, data infrastructure, and the broader systems research community. We believe some of the most interesting advances in these areas happen through close collaboration between industry and academia. ClickHouse Labs brings together researchers and engineers to explore new ideas, investigate challenging technical problems, and connect academic research with real-world systems at scale. Research interns are an important part of that community. Interns have the opportunity to bring their own research interests and perspectives into ClickHouse Labs while working alongside researchers and engineers who are deeply engaged with both the practical challenges and open research questions shaping the future of data systems. PROGRAM GOALS 1. Identify exceptional PhD researchers working in areas directly relevant to ClickHouse. 2. Give researchers the opportunity to work on meaningful, open-ended problems with ClickHouse Labs. 3. Build long-term relationships with researchers and academic institutions. 4. Encourage continued research and open-source contributions after the internship. 5. Create opportunities for co-authored papers, thesis advising, or other academic collaboration. 6. Increase ClickHouse's visibility within the database and systems research community. 7. Publish and share meaningful research outcomes through the ClickHouse website and other appropriate channels. WHAT MAKES THE PROGRAM DIFFERENT This is intentionally not a highly structured engineering internship and should not detailed planning. ****But the high-level problem area and expectations should defined several months before the internship begins. This flexibility is intentional and allows ClickHouse Labs to respond to: - Emerging research questions - Current ClickHouse priorities - New academic research - Interesting systems or database prototypes - Work candidates have already completed - Opportunities to apply new research ideas to ClickHouse The goal is to identify researchers whose work is already closely aligned with areas ClickHouse cares about and then determine the most valuable research problem to pursue together. CANDIDATE PROFILE We are looking for exceptional PhD students conducting research directly relevant to ClickHouse and the broader database/systems space. IDEAL CANDIDATES - Currently pursuing a PhD in computer science or a closely related field - Conducting research in areas relevant to ClickHouse - Demonstrated research excellence - Strong database systems, distributed systems, hardware, or related technical background - Has demonstrated ability to independently pursue complex research questions - Ideally has prior experience with ClickHouse open source but not required**.** - Has research, prototypes, or publications that could translate into meaningful work with ClickHouse - Interested in continuing research beyond the internship - Potential interest in open-source contribution and academic collaboration CANDIDATE SELECTION PHILOSOPHY The strongest candidates will be researchers whose work is specifically relevant to what ClickHouse Labs wants to explore. A candidate who has already: - Worked with ClickHouse - Built a relevant database or systems prototype - Published research in an area relevant to ClickHouse - Explored a technical problem ClickHouse is interested in may be significantly more valuable than a candidate with an otherwise impressive academic profile but no meaningful connection to our research areas. RESEARCH AREAS & PROJECT SCOPE Unlike an engineering internship program, specific projects do not need to be defined when recruiting begins. Research projects may emerge from: - A candidate's existing research - A recent academic paper - A prototype or system the candidate has developed - An emerging ClickHouse Labs research priority - An opportunity to test or extend an existing research concept within ClickHouse IF THIS IS RELEVANT AND EXCITING TO YOU, PLEASE APPLY! PERKS - Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries. - Healthcare - Employer contributions towards your healthcare. - Equity in the company - Every new eligible team member who joins our company receives equity. - Time off - Flexible time off in the US, generous entitlement in other countries. - A USD$500 Home office setup if you’re a remote employee. - Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. CULTURE - WE ALL SHAPE IT As part of a rapidly scaling start-up, you will be instrumental in shaping our culture. Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse. EQUAL OPPORTUNITY & PRIVACY ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.

• Опыт разработки прибыльных ML-моделей или торговых стратегий. • Знание Python, PyTorch/JAX.

Много работы с ИИ, графикой, видео. знания современных пайп-лайнов.

Location: Paris; London ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. THE ROLE Mistral AI is seeking Applied Scientists and Research Engineers focused on formal methods. You will design, train, and deploy SOTA large language models and apply them to diverse use cases. You'll work cross-functionally with internal and external science, engineering, and product teams to deliver high-impact AI solutions.   WHAT YOU WILL DO - Run pre-training, post-training and deploy state of the art models on large clusters. - Generate and curate datasets for theorem proving and software verification, and build evaluators and benchmarks for formal reasoning. - Develop the necessary tools and frameworks to facilitate data generation, model training, evaluation and deployment. - Collaborate with cross-functional teams to tackle complex use cases. - Manage research projects and communications with client research teams.   WHAT WE'RE LOOKING FOR - Fluent in English with excellent communication skills — at ease explaining complex technical concepts to both technical and non-technical audiences. - Expert with PyTorch or JAX. - Not afraid of contributing to a big codebase; finds their way around independently with little guidance. - Writes clean, readable, high-performance, fault-tolerant Python code. - Doesn’t need roadmaps: moves independently and navigates uncertainty with confidence. - Low-ego, collaborative and eager to learn. - Track record of success through personal projects, professional projects or academia. NICE TO HAVE - PhD / Master in a relevant field (Computer Science, Mathematics, Machine Learning). - Experience with autoformalization, proof automation, or verified code generation. - Experience with reinforcement learning using verifiable rewards, ideally from Lean or other proof assistants. - Contributions to a large open-source or industry codebase. - Publications in top academic journals or conferences. - Enjoys improving existing code: typing, tests, CI pipelines. WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: Hyderabad Workplace: onsite On-site · Full Time · People Manager · +5 Years of Experience · India Only Corporate IT Manager This role is open only to candidates based in India. Applications from outside India will not be considered. Who We Are Yuno is the AI-native operating system of global commerce, powering the financial infrastructure of enterprise merchants, banks, and wallets. Through a single API, Yuno connects them to pay-ins, payouts, fraud prevention, KYC/KYB, and stablecoins globally, so they can operate everywhere. Agnostic by design and connected to 1,000+ payment methods and 460+ integrations in 190+ countries, Yuno optimizes acceptance rates, reduces costs, and strengthens security through specialized AI agents that learn from every transaction. Global brands including McDonald's, NetEase Games, GoFundMe, and Rappi run their payments on Yuno. About The Role Yuno is looking for a Corporate IT Manager, based in India, to own the internal technology backbone that keeps our fully remote, global team productive and secure. From device management and identity to SaaS administration and compliance, you'll lead Corporate IT, a new area within our Tech Infrastructure team, designing systems and automation that scale as Yuno grows across 190+ countries. This is not a helpdesk role. You'll own the corporate IT stack end to end, drive the roadmap, automate what others still do by hand, and make security and compliance a built-in default rather than an afterthought — which matters when the company runs payments for global brands. You'll work closely with our Security team, taking corporate IT workload off SecOps, and you'll build and lead the Corporate IT team as it grows. How AI Shows Up in This Role You'll build AI-driven automation for IT and helpdesk, turning repetitive requests and lifecycle workflows into self-serve flows, and maintain machine-readable documentation that AI assistants can act on As an AI-native company, Yuno runs on a growing stack of AI tools — you'll own how they're provisioned, secured, and governed across the org, managing access and OAuth/shadow-AI risk. And you're encouraged to use AI to move faster in your own work Your Contribution Will Be Corporate IT ownership and roadmap — own the corporate IT function end to end and drive the corporate IT roadmap as the company scales Device and endpoint management — own the MDM platform (Jamf, Intune, or Kandji) for a distributed macOS and Windows fleet: zero-touch provisioning, patching, configuration-as-code, and endpoint security Identity and access management — administer the identity provider (Okta or equivalent), SSO, MFA, and SCIM; automate onboarding and offboarding, and enforce least-privilege access across every system SaaS administration and governance — manage the SaaS stack (Google Workspace, Slack, Atlassian, and more), rein in shadow IT and OAuth risk, and right-size licenses and access Security and compliance — build and maintain the controls, access reviews, and audit evidence that keep Yuno compliant (SOC 2, PCI DSS, ISO 27001), partnering with Security on vendor reviews Automation — replace manual work with scripting and workflow automation (Python, Okta Workflows, or similar) Team leadership and enablement — act as the senior escalation point for complex IT issues, maintain clear runbooks and documentation, and lead and mentor the Corporate IT team as it grows What Success Looks Like Within your first 6–12 months, onboarding and offboarding run end to end without manual steps, the device fleet and SaaS access are fully managed and auditable, and SOC 2 and PCI evidence is something the team produces continuously rather than scrambling for at audit time. Skills You Need Minimum Qualifications 5+ years in corporate IT, IT operations, or IT systems engineering, ideally supporting a distributed workforce Experience managing or mentoring IT team members, or leading corporate IT for a team or company Based in India, with the right to work in India MDM expertise — hands-on with Jamf Pro, Intune, or Kandji for macOS and Windows fleet management Identity and access management — managing an identity provider (Okta strongly preferred), SSO, MFA, and provisioning/deprovisioning SaaS administration — Google Workspace, Slack, Atlassian, and similar, with an understanding of SaaS and OAuth governance Security and compliance — hands-on support for frameworks like SOC 2, ISO 27001, or PCI DSS (access reviews, audit evidence) Scripting and automation — Python, JavaScript, PowerShell, or workflow tools to eliminate manual toil Networking fundamentals — TCP/IP, DNS, DHCP, and VPNs English — advanced proficiency, written and spoken Preferred Qualifications Building AI-driven IT automation (e.g., Console.com, Risotto, Unthread) or helpdesk and agentic tooling Hardware lifecycle and asset management (ITAM) at scale Experience in the payments or fintech industry, where compliance and access controls are stricter Familiarity with Zero Trust, PAM, and least-privilege access models Nice to Have Configuration-as-code for endpoints (an infrastructure-as-code mindset for IT) Experience securing and governing AI tools or agents across an organization

Location: Colombia Position Overview The company is seeking an experienced ScienceLogic SL1 Platform & Automation Specialist to own, enhance, and extend our enterprise observability platform. The primary requirement for this role is deep, hands-on expertise with ScienceLogic SL1, including platform administration, reporting, customization, PowerPack development, and integration with AI-enabled and third-party systems. The successful candidate will serve as the technical owner for SL1 and will translate operational, customer, and business requirements into reliable monitoring services, dashboards, reports, automations, and integrations. The role will work closely with Systems, Security, Network Operations, Service Delivery, Software Development, and business stakeholders to improve visibility, reduce manual effort, and turn monitoring data into actionable operational intelligence. This position is ideal for an SL1 specialist who combines strong platform engineering skills with an integration and automation mindset, and who can help the company expand the value of SL1 through APIs, data services, AI-assisted operations, and connected enterprise platforms. Employment Details Job Type: Full-Time Schedule: 8-hour shift; Monday through Friday; participation in an on-call rotation; availability for after-hours maintenance, upgrades, and incident response activities; occasional weekend work to support maintenance windows or critical incidents. Work Location: Remote Key Responsibilities ScienceLogic SL1 Platform Ownership Own the day-to-day administration, health, availability, performance, capacity, and lifecycle of the ScienceLogic SL1 platform stack. Manage SL1 platform components, collectors, credentials, device classes, discovery, organizations, access controls, and platform configuration. Plan and coordinate upgrades, patches, PowerPack updates, testing, release validation, and rollback readiness. Troubleshoot complex platform, collection, event, performance, and data-quality issues and coordinate remediation with internal teams and ScienceLogic support. Maintain platform standards, configuration control, technical debt registers, support procedures, and operational runbooks. SL1 Customization & PowerPack Engineering Design, build, test, document, and maintain custom PowerPacks and associated SL1 content. Develop and maintain Dynamic Applications, event policies, device templates, dashboards, widgets, reports, Run Book Actions, Run Book Policies, ticket templates, credentials, and business service policies. Customize monitoring for network, cloud, infrastructure, application, telecom, and customer-facing services where standard content does not meet requirements. Use SL1 APIs, GraphQL/GQL capabilities, scripting, and supported development frameworks to extend platform functionality. Apply disciplined source control, peer review, test, release, and documentation practices to custom SL1 content. Reporting, Dashboards & Service Visibility Create operational, executive, customer, SLA, availability, capacity, risk, and service-health reporting from SL1 data. Design role-appropriate dashboards that provide clear visibility into service health, infrastructure dependencies, events, trends, and business impact. Improve reporting accuracy, consistency, performance, scheduling, distribution, and data governance. Integrate SL1 data with reporting and analytics platforms, including Domo, Power BI, data services, and other approved enterprise tools. Partner with stakeholders to define meaningful metrics, thresholds, service models, and reporting outcomes. Integrations, Automation & Third-Party Platforms Design, build, and support secure integrations between ScienceLogic SL1 and ITSM, ticketing, collaboration, analytics, security, cloud, network, and business platforms. Develop API-driven workflows using Python, PowerShell, REST APIs, webhooks, GraphQL/GQL, Logic Apps, Power Automate, or comparable technologies. Automate event enrichment, ticket creation and synchronization, notification, escalation, remediation, evidence collection, and reporting workflows. Manage integration credentials, service accounts, certificates, secrets, error handling, logging, monitoring, and recovery processes. Assess integration quality and remove brittle, duplicate, or manual workflows while maintaining appropriate change control. AI-Assisted Operations & Innovation Identify and implement practical uses of AI to improve SL1 event analysis, alert summarization, incident enrichment, root-cause investigation, knowledge retrieval, reporting, and operator productivity. Expose approved SL1 data and capabilities to AI-enabled platforms through secure APIs, data pipelines, retrieval patterns, orchestration services, or governed agent integrations. Prototype and evaluate AI-assisted workflows while maintaining human oversight, data protection, access control, auditability, and operational safety. Partner with Security, IT, Development, and business stakeholders to define appropriate AI use cases and measurable outcomes. Document AI integrations, data flows, controls, limitations, support requirements, and fallback procedures. Operational Excellence, Governance & Collaboration Act as the subject-matter expert and technical escalation point for ScienceLogic SL1. Collaborate with Network Operations, Systems, Security, Service Delivery, Software Development, vendors, and customers to translate requirements into maintainable platform capabilities. Maintain accurate architecture, configuration, data-flow, integration, support, and recovery documentation. Support incident, problem, change, vulnerability, and risk-management processes associated with the platform and its integrations. Provide knowledge transfer, mentoring, and practical guidance to teams that consume or support SL1 services. Promote secure engineering, least privilege, resilient design, and compliance with the company governance requirements. Required Technical Skills Expert Level ScienceLogic SL1 platform administration and architecture SL1 reporting, dashboards, widgets, service visibility, and operational analytics PowerPack development and lifecycle management Dynamic Applications and custom data collection Event policies, automation policies, Run Book Actions, and Run Book Automation SL1 platform troubleshooting, upgrades, collectors, performance, and data quality SL1 API integration and programmatic platform extension Advanced Level Python and/or PowerShell development REST APIs, JSON, webhooks, authentication, and integration design GraphQL/GQL and data-query patterns relevant to SL1 integrations Monitoring, observability, event management, alert correlation, and service health Operational reporting and data visualization ITSM/ticketing platform integrations and workflow automation Secure credential, certificate, secret, and service-account management Technical documentation, testing, release management, and change control Working Knowledge AI-assisted IT operations, retrieval-augmented generation, and agent-based workflows Microsoft Copilot, Copilot Studio, Azure AI services, or comparable enterprise AI platforms Logic Apps, Power Automate, Azure Automation, or comparable orchestration tools Domo, Power BI, data warehouses, or analytics platforms Cloud, virtualization, network, Linux, Windows, container, application, and telecom monitoring concepts ITIL-aligned incident, problem, and change management Security, privacy, auditability, and responsible AI governance principles Required Experience & Qualifications Demonstrable, hands-on experience administering and customizing ScienceLogic SL1 in a production enterprise or service-provider environment. Proven delivery of custom SL1 reporting, dashboards, monitoring content, PowerPacks, or integrations. Experience building and supporting integrations between SL1 and third-party systems. Ability to diagnose complex monitoring, collection, event, performance, reporting, and data-quality issues. Strong written and verbal communication with the ability to translate operational needs into technical solutions. Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field, or equivalent practical experience. Preferred Skills & Experience Experience operating ScienceLogic SL1 in an MSP, telecommunications, network-services, or multi-customer environment. Experience developing custom PowerPacks using supported SL1 development methods, APIs, scripting, and GraphQL/GQL. Experience integrating SL1 with ITSM platforms such as Autotask PSA, ServiceNow, or comparable systems. Experience delivering customer-facing SLA, availability, capacity, service-health, and executive reporting. Experience integrating SL1 data with Domo, Power BI, data lakes, or other analytics platforms. Experience applying AI to event summarization, alert enrichment, root-cause assistance, knowledge retrieval, workflow orchestration, or operational reporting. Experience with network, cloud, infrastructure, application, container, and service-level observability. Experience supporting globally distributed or remote-first technical teams. Experience maintaining audit-ready platform documentation and controlled release processes. Preferred Certifications ScienceLogic - Highest Priority Current or recent ScienceLogic SL1 certification appropriate to platform administration, engineering, or development ScienceLogic Certified Expert or comparable advanced ScienceLogic accreditation Additional ITIL Foundation or higher Microsoft Azure, Power Platform, AI, data, or automation certifications Relevant Python, API, observability, cloud, or service-management certifications Candidate Evidence We Would Value Examples of custom PowerPacks, Dynamic Applications, reports, dashboards, or integrations the candidate personally designed or maintained. A clear explanation of an SL1 API integration, including authentication, data flow, error handling, monitoring, and support model. Examples of improving SL1 data quality, event fidelity, reporting usefulness, platform performance, or supportability. A practical approach for using AI with SL1 while protecting sensitive data and retaining human oversight. Technical documentation or architecture examples that show disciplined engineering and operational ownership. Success Measures SL1 availability, collection health, data quality, and platform reliability targets are achieved. Custom monitoring and reporting requirements are delivered accurately, securely, and maintainably. PowerPacks and custom SL1 content follow documented development, testing, release, and lifecycle standards. Operational, executive, customer, and SLA reporting becomes more reliable, useful, and timely. Integration failures, manual handoffs, duplicate effort, and unsupported customizations are reduced. Monitoring coverage and event quality improve while avoidable alert noise is reduced. AI-assisted use cases produce measurable operational value without weakening security, privacy, governance, or human oversight. Platform upgrades, lifecycle activities, and vendor escalations are planned and executed effectively. Teams receive high-quality documentation, knowledge transfer, and dependable technical escalation support. ScienceLogic SL1 data is used more effectively to drive operational decisions, customer outcomes, and continuous improvement. Role Profile Primary specialty: ScienceLogic SL1 platform engineering, reporting, customization, and integration. Secondary specialty: Automation, APIs, analytics, and AI-assisted operations. Operating style: Hands-on technical ownership with strong stakeholder communication and documentation discipline. Business outcome: A reliable, extensible, and well-governed observability platform that converts monitoring data into actionable intelligence.

Location: Costa Rica Position Overview The company is seeking an experienced ScienceLogic SL1 Platform & Automation Specialist to own, enhance, and extend our enterprise observability platform. The primary requirement for this role is deep, hands-on expertise with ScienceLogic SL1, including platform administration, reporting, customization, PowerPack development, and integration with AI-enabled and third-party systems. The successful candidate will serve as the technical owner for SL1 and will translate operational, customer, and business requirements into reliable monitoring services, dashboards, reports, automations, and integrations. The role will work closely with Systems, Security, Network Operations, Service Delivery, Software Development, and business stakeholders to improve visibility, reduce manual effort, and turn monitoring data into actionable operational intelligence. This position is ideal for an SL1 specialist who combines strong platform engineering skills with an integration and automation mindset, and who can help the company expand the value of SL1 through APIs, data services, AI-assisted operations, and connected enterprise platforms. Employment Details Job Type: Full-Time Schedule: 8-hour shift; Monday through Friday; participation in an on-call rotation; availability for after-hours maintenance, upgrades, and incident response activities; occasional weekend work to support maintenance windows or critical incidents. Work Location: Remote Key Responsibilities ScienceLogic SL1 Platform Ownership Own the day-to-day administration, health, availability, performance, capacity, and lifecycle of the ScienceLogic SL1 platform stack. Manage SL1 platform components, collectors, credentials, device classes, discovery, organizations, access controls, and platform configuration. Plan and coordinate upgrades, patches, PowerPack updates, testing, release validation, and rollback readiness. Troubleshoot complex platform, collection, event, performance, and data-quality issues and coordinate remediation with internal teams and ScienceLogic support. Maintain platform standards, configuration control, technical debt registers, support procedures, and operational runbooks. SL1 Customization & PowerPack Engineering Design, build, test, document, and maintain custom PowerPacks and associated SL1 content. Develop and maintain Dynamic Applications, event policies, device templates, dashboards, widgets, reports, Run Book Actions, Run Book Policies, ticket templates, credentials, and business service policies. Customize monitoring for network, cloud, infrastructure, application, telecom, and customer-facing services where standard content does not meet requirements. Use SL1 APIs, GraphQL/GQL capabilities, scripting, and supported development frameworks to extend platform functionality. Apply disciplined source control, peer review, test, release, and documentation practices to custom SL1 content. Reporting, Dashboards & Service Visibility Create operational, executive, customer, SLA, availability, capacity, risk, and service-health reporting from SL1 data. Design role-appropriate dashboards that provide clear visibility into service health, infrastructure dependencies, events, trends, and business impact. Improve reporting accuracy, consistency, performance, scheduling, distribution, and data governance. Integrate SL1 data with reporting and analytics platforms, including Domo, Power BI, data services, and other approved enterprise tools. Partner with stakeholders to define meaningful metrics, thresholds, service models, and reporting outcomes. Integrations, Automation & Third-Party Platforms Design, build, and support secure integrations between ScienceLogic SL1 and ITSM, ticketing, collaboration, analytics, security, cloud, network, and business platforms. Develop API-driven workflows using Python, PowerShell, REST APIs, webhooks, GraphQL/GQL, Logic Apps, Power Automate, or comparable technologies. Automate event enrichment, ticket creation and synchronization, notification, escalation, remediation, evidence collection, and reporting workflows. Manage integration credentials, service accounts, certificates, secrets, error handling, logging, monitoring, and recovery processes. Assess integration quality and remove brittle, duplicate, or manual workflows while maintaining appropriate change control. AI-Assisted Operations & Innovation Identify and implement practical uses of AI to improve SL1 event analysis, alert summarization, incident enrichment, root-cause investigation, knowledge retrieval, reporting, and operator productivity. Expose approved SL1 data and capabilities to AI-enabled platforms through secure APIs, data pipelines, retrieval patterns, orchestration services, or governed agent integrations. Prototype and evaluate AI-assisted workflows while maintaining human oversight, data protection, access control, auditability, and operational safety. Partner with Security, IT, Development, and business stakeholders to define appropriate AI use cases and measurable outcomes. Document AI integrations, data flows, controls, limitations, support requirements, and fallback procedures. Operational Excellence, Governance & Collaboration Act as the subject-matter expert and technical escalation point for ScienceLogic SL1. Collaborate with Network Operations, Systems, Security, Service Delivery, Software Development, vendors, and customers to translate requirements into maintainable platform capabilities. Maintain accurate architecture, configuration, data-flow, integration, support, and recovery documentation. Support incident, problem, change, vulnerability, and risk-management processes associated with the platform and its integrations. Provide knowledge transfer, mentoring, and practical guidance to teams that consume or support SL1 services. Promote secure engineering, least privilege, resilient design, and compliance with the company governance requirements. Required Technical Skills Expert Level ScienceLogic SL1 platform administration and architecture SL1 reporting, dashboards, widgets, service visibility, and operational analytics PowerPack development and lifecycle management Dynamic Applications and custom data collection Event policies, automation policies, Run Book Actions, and Run Book Automation SL1 platform troubleshooting, upgrades, collectors, performance, and data quality SL1 API integration and programmatic platform extension Advanced Level Python and/or PowerShell development REST APIs, JSON, webhooks, authentication, and integration design GraphQL/GQL and data-query patterns relevant to SL1 integrations Monitoring, observability, event management, alert correlation, and service health Operational reporting and data visualization ITSM/ticketing platform integrations and workflow automation Secure credential, certificate, secret, and service-account management Technical documentation, testing, release management, and change control Working Knowledge AI-assisted IT operations, retrieval-augmented generation, and agent-based workflows Microsoft Copilot, Copilot Studio, Azure AI services, or comparable enterprise AI platforms Logic Apps, Power Automate, Azure Automation, or comparable orchestration tools Domo, Power BI, data warehouses, or analytics platforms Cloud, virtualization, network, Linux, Windows, container, application, and telecom monitoring concepts ITIL-aligned incident, problem, and change management Security, privacy, auditability, and responsible AI governance principles Required Experience & Qualifications Demonstrable, hands-on experience administering and customizing ScienceLogic SL1 in a production enterprise or service-provider environment. Proven delivery of custom SL1 reporting, dashboards, monitoring content, PowerPacks, or integrations. Experience building and supporting integrations between SL1 and third-party systems. Ability to diagnose complex monitoring, collection, event, performance, reporting, and data-quality issues. Strong written and verbal communication with the ability to translate operational needs into technical solutions. Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field, or equivalent practical experience. Preferred Skills & Experience Experience operating ScienceLogic SL1 in an MSP, telecommunications, network-services, or multi-customer environment. Experience developing custom PowerPacks using supported SL1 development methods, APIs, scripting, and GraphQL/GQL. Experience integrating SL1 with ITSM platforms such as Autotask PSA, ServiceNow, or comparable systems. Experience delivering customer-facing SLA, availability, capacity, service-health, and executive reporting. Experience integrating SL1 data with Domo, Power BI, data lakes, or other analytics platforms. Experience applying AI to event summarization, alert enrichment, root-cause assistance, knowledge retrieval, workflow orchestration, or operational reporting. Experience with network, cloud, infrastructure, application, container, and service-level observability. Experience supporting globally distributed or remote-first technical teams. Experience maintaining audit-ready platform documentation and controlled release processes. Preferred Certifications ScienceLogic - Highest Priority Current or recent ScienceLogic SL1 certification appropriate to platform administration, engineering, or development ScienceLogic Certified Expert or comparable advanced ScienceLogic accreditation Additional ITIL Foundation or higher Microsoft Azure, Power Platform, AI, data, or automation certifications Relevant Python, API, observability, cloud, or service-management certifications Candidate Evidence We Would Value Examples of custom PowerPacks, Dynamic Applications, reports, dashboards, or integrations the candidate personally designed or maintained. A clear explanation of an SL1 API integration, including authentication, data flow, error handling, monitoring, and support model. Examples of improving SL1 data quality, event fidelity, reporting usefulness, platform performance, or supportability. A practical approach for using AI with SL1 while protecting sensitive data and retaining human oversight. Technical documentation or architecture examples that show disciplined engineering and operational ownership. Success Measures SL1 availability, collection health, data quality, and platform reliability targets are achieved. Custom monitoring and reporting requirements are delivered accurately, securely, and maintainably. PowerPacks and custom SL1 content follow documented development, testing, release, and lifecycle standards. Operational, executive, customer, and SLA reporting becomes more reliable, useful, and timely. Integration failures, manual handoffs, duplicate effort, and unsupported customizations are reduced. Monitoring coverage and event quality improve while avoidable alert noise is reduced. AI-assisted use cases produce measurable operational value without weakening security, privacy, governance, or human oversight. Platform upgrades, lifecycle activities, and vendor escalations are planned and executed effectively. Teams receive high-quality documentation, knowledge transfer, and dependable technical escalation support. ScienceLogic SL1 data is used more effectively to drive operational decisions, customer outcomes, and continuous improvement. Role Profile Primary specialty: ScienceLogic SL1 platform engineering, reporting, customization, and integration. Secondary specialty: Automation, APIs, analytics, and AI-assisted operations. Operating style: Hands-on technical ownership with strong stakeholder communication and documentation discipline. Business outcome: A reliable, extensible, and well-governed observability platform that converts monitoring data into actionable intelligence.

Location: United States- Twinsburg, Ohio Founded in 1985, ATS is a company with a presence in the United States, Mexico and the United Kingdom. We are professionals in Industrial Maintenance and we make factories run better. Fundada en 1985, ATS es una empresa con presencia en los Estados Unidos, México y el Reino Unido. Somos profesionales en mantenimiento industrial y hacemos que las fábricas funcionen mejor. Principal Duties/Responsibilities: · Travels to customer site for calibration, repair, and technical support when necessary. · Reads quality control manual and testing specifications to obtain data to test or calibrate specific devices. · Selects and installs accessories, such as adapters, indicating gauges, or holding devices on test or calibration fixture, and connects instrument or device to fixture, according to specifications, using hand tools. · Sets controls to regulate factors, such as current flow, timing cycle, pressure, temperature, or vacuum, according to specifications, and activates test or calibration equipment. · Observes readings on meters and gauges, and other displays and performance of device or instrument to identify functional defects and determine calibration requirements. · Adjusts calibration mechanisms to obtain specified operational performance of device or instrument, using hand tools and precision measuring and calibrating instruments and equipment. · Applies sealing compound on calibration mechanism to prevent readjustment of settings and loss of calibration. · Rejects malfunctioning devices and routes devices to specified department for rework or salvaging of parts. · Prepares calibration certificates and data reports. · Processes required service report paperwork. · Interacts with other departments and personnel to resolve any related issues. · Assists in creation of calibration procedures as necessary. · Evaluates calibration/repair jobs. · Assists in developing new product capabilities and standards. · Performs necessary database maintenance. · May disassemble instrument or device to determine cause of defective operation and notify supervisory personnel of findings. · Participates in Service/Quality Initiative; continually improves processes; quantitatively monitors processes. Completes required quality core classes and uses skills and techniques presented. Uses the Core Values in work environment. Adheres to company/customer safety procedures. Knowledge, Skills, Abilities (KSAs), & Competencies: Essential KSAs: · Associates degree from a junior college or technical school; and four years related experience or equivalent combination of education and experience. · Ability to read and interpret documents such as safety rules, operating and maintenance instructions, and procedure manuals; write routine reports and correspondence. Ability to speak effectively before groups of customers or employees of organization; work with mathematical concepts such as probability and statistical inference, and fundamentals of plane and solid geometry and trigonometry; apply concepts such as fractions, percentages, ratios, and proportions to practical situations; apply common sense understanding to carry out instructions furnished in written, oral, or diagram form; deal with problems involving several concrete variables in standardized situations. Desirable KSAs: · Must be a team player · Organized · Self-motivated and able to prioritize Competencies: · Communications · Customer Focus · Safety Physical Demands and Working Conditions: While performing the duties of this job, the employee is regularly required to stand; walk; use hands/fingers to handle, or feel; reach with hands and arms; climb, ascend/descend or balance to heights that may require a ladder or lift; stoop, kneel, crouch, or crawl in confined spaces; and talk or hear. The employee is occasionally required to sit. The employee must occasionally lift and/or move more than 50 pounds. The employee is regularly required to use close vision and color vision. The employee is occasionally exposed to outside weather conditions and risk of electrical shock. Work is typically performed in a factory environment and is usually very loud. In the factory environment, the employee may be exposed to hazardous materials and/or greasy or slippery factory floors. ATS believes in fair and equitable pay. Please note that actual salaries may vary within the range, or be above or below the range, based on factors including, but not limited to, education, training, experience, professional achievement, business need, and location. We also offer market leading benefit programs including Medical, Dental and Vision plans, PTO, a 401k retirement plans with employer matching, tuition reimbursement, and more. Pay Range $30.25 — $38.68 USD ATS is committed to providing equal employment opportunities in all aspects of employment to all applicants and employees without regard to age, color, race, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, disability, veteran status, genetic information, or other legally protected status. Review the privacy policy here. ATS se compromete a brindar igualdad de oportunidades de empleo en todos los aspectos del empleo a todos los solicitantes y empleados, independientemente de su edad, color, raza, religión, sexo (incluido el embarazo, identidad de género y orientación sexual), origen nacional, discapacidad, estatus de veterano, información genética u otro estatus legalmente protegido. Revisión de la política de privacidad aquí here.

— Изучение продукта и процессов поддержки; — Решение кейсов во взаимодействии с внутренними командами;

Задачи: — создавать карты персонажей, локации и ассенты — делать анимацию в Seedance 2.0/2.5, Kling AI и аналогах — писать и оптимизировать промпты в Codex и/или Claude — управлять через промпты кадрами и сценой — самостоятельно вести полный цикл — работать в команде под руководством штатных лидов, продюсеров и супервайзеров Требования: — умение разбираться в игровом контенте — понимание как собрать сцену, контролировать игру персонажей, положение и движение камеры, свет, пластику и базовые принципы монтажа — портфолио с примерами изображений, анимации и/или видео на AI — смонтированный игровой материал с понятным повествованием, а не просто набор шотов — практический опыт и умение работать в Seedance 2.0/2.5 и Kling AI на высоком уровне — понимание архитектуры Codex и/или Claude и базовые скиллы для промптинга — умение смотреть на контент как творец: сцена, движение, камера, свет, стиль, монтаж — внимательность, самостоятельность, умение работать в команде, готовность к обучению — готовность выполнить тестовое задание Условия: — проектная работа Контакт для отклика: Телеграм: @yulijuli2001

Задачи: — Участвовать в художественной разработке проекта: создавать и дорабатывать визуальные референсы, карты персонажей и локаций, помогать формировать единый облик мира сериала. — Работать с отснятым материалом и референсами, выстраивать процесс генерации сцен. — Добиваться убедительного фотореализма: естественных фактур, проработанного света, цвета, глубины резкости, зерна и т.д. — Превращать съёмку актёров в грейруме в сцены кинематографического качества, сохраняя актёрскую игру, действия и расположение персонажей. Требования: — Опыт создания не менее двух минут связного материала на основе актёрской съёмки. — Наличие нескольких планов, складывающихся в цельную сцену или сцены, с сохранением облика персонажей и качества изображения на всём протяжении. — Обязательно владение Premiere Pro или DaVinci Resolve. — Рассматриваются специалисты, работающие в Final Cut Pro X. — Опыт работы с ИИ-агентами, например Codex или Claude, понимание устройства скиллов, умение применять их в производственном процессе, а при необходимости создавать и дорабатывать собственные. Условия: — Работа в штате, очно в офисе в центре Москвы. — Удалённый формат не предусмотрен. — График 5/2, с 10:00 до 19:00. — Уровень заработной платы обсуждается по итогам собеседования с учётом опыта и представленной работы. Как откликнуться: — Написать в Telegram: @igorvandik https://t.me/igorvandik. — В первой строке сообщения указать: «ИИ-дженералист — работа с актёрскими референсами». — Прислать одну работу, содержащую не менее двух минут связного финального материала, показать исходную актёрскую съёмку и созданную на её основе генеративную сцену, желательно оформить сравнение рядом или в формате «окно в окне». Также рассматриваются специалисты по другим направлениям: — 3D-блокинг: прислать работу с финальным материалом не менее двух минут, показать сравнение блокинга и результата, первая строка отклика: «ИИ-дженералист — 3D-блокинг». — Фулл ИИ: создавать полностью генеративные фотореалистичные сцены длительностью не менее трёх минут, первая строка отклика: «ИИ-дженералист — фулл ИИ». — ИИ-анимация: создавать цельные анимационные работы, воспринимающиеся как качественный 3D-мультфильм, важны выразительные персонажи, осмысленное действие и последовательный визуальный стиль, первая строка отклика: «ИИ-дженералист-аниматор». Для всех направлений: — Написать пару слов о себе и своём опыте, указать роль в представленной работе и оставить номер телефона. — Приложить ссылку на один конкретный кейс по выбранному направлению, а не на общее портфолио. — При отклике на несколько направлений отправить отдельное сообщение по каждому с соответствующим заголовком и одной релевантной работой.

-Оперативно реагировать на информацию по проблемам в своей зоне ответственности. -Восстанавливать работоспособность систем.

Location: Doha; Al Khor; Al Rayyan; Al Wakrah; Dukhan; Lusail; Madinat ash Shamal; Umm Salal Workplace: remote We are looking for AIVoice Recording Contributors to join an Arabic (Gulf)  voice evaluation project and help support the development of the next generation of AI technologies.    Job Type: Freelance Location: Work from home Work Schedule:Flexible, task-based work (approximately 4–6 hours per day) Project Duration: Approximately 1 month Start Date: Immediately Rate: 6 USD/hour     Help Shape the Future of AI This short project offers an opportunity to contribute to the development and improvement of speech and language AI technologies by providing high-quality voice recordings in your native language and dialect. You will complete recording tasks using our internal platform by reading provided text prompts aloud. The goal is to capture natural speech from native speakers of specific language variants to help improve AI systems' ability to understand diverse languages, dialects, and accents.     How Your Recordings Will Be Used Your recordings will be used to evaluate how agents respond to spoken instructions and to compare that evaluation with an evaluation of text-based instructions. The collected audio may be reviewed for quality and incorporated into datasets used for research, development, testing, and improvement of AI systems. What You’ll Do Read provided text cards aloud and record them exactly as written (there approximately 640 cards per person). Produce clear, natural, and high-quality speech recordings following the guidelines and instructions provided. Speak using your natural dialect and accent. Ensure no words are added, omitted, or altered. Re-record submissions if requested to meet quality standards. Complete tasks using our internal recording platform. What We’re Looking For Native-level fluency in Arabic (Gulf). Authentic pronunciation and strong familiarity with the target dialect or accent through everyday use. Advanced level of English to understand written instructions. Ability to complete a trial voice recording to verify language variant and accent. Contributors must not imitate dialects or accents that are not their own. Experience with speech recording projects is an advantage, but not required. Strong communication skills and attention to detail. Ability to follow detailed instructions and maintain recording accuracy. Technical Requirements Quiet room or recording space with minimal background noise. Computer microphone or headset with microphone. Reliable internet connection. Ability to access and use an online recording platform. What We Offer Flexible, remote work. Timely and reliable payments. Opportunity to contribute to cutting-edge AI technology. Access to future language and AI-related projects. A flexible engagement ideal for gaining experience with AI data collection projects. #LI-CAN17 Vendor Type When applying, please select the option that best describes your working status. Are you a Freelancer or Private Individual? A Freelancer is someone who has a business license and may have a VAT number or EIN for tax purposes. A VAT (Value Added Tax) number is a unique identifier assigned to a registered business in many countries; an EIN (Employer Identification Number) is a similar identifier used in the US. A Private Individual does not have a business license. If you aren’t sure, you are probably a private individual. RWS embraces DEI and promotes equal opportunity, we are an Equal Opportunity Employer and prohibit discrimination and harassment of any kind. RWS is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. All employment decisions at RWS are based on business needs, job requirements and individual qualifications, without regard to race, religion, nationality, ethnicity, sex, age, disability, or sexual orientation. RWS will not tolerate discrimination based on any of these characteristics.