We are looking for detail-oriented AI Data Annotation Specialists to help train and improve our machine learning models. In this role, you will review, label, and evaluate text data to ensure our AI delivers accurate, helpful, and human-like writing suggestions. This is an ideal opportunity for individuals who enjoy working independently, have strong reading comprehension skills, and want to contribute to cutting-edge AI products—no advanced technical background required. Key Responsibilities 1. Data Annotation & Labeling 2. Review and label text data based on predefined guidelines 3. Annotate writing quality, tone, grammar, and contextual accuracy 4. Categorize and tag data to improve AI understanding of language patterns. 5. Quality Assurance 6. Ensure high accuracy and consistency across all annotations 7. Identify and flag ambiguous or low-quality data 8. Follow strict quality control processes and meet performance benchmarks 9. AI Training Support 10. Provide feedback to improve annotation guidelines and workflows Required Qualifications High school diploma or equivalent (Bachelor’s degree is a plus) Strong command of written English (grammar, spelling, comprehension) Excellent attention to detail and accuracy Ability to follow structured guidelines and instructions Comfortable working independently in a remote environment Basic computer skills (Google Docs, spreadsheets, web tools) Preferred Qualifications Experience in data annotation, data entry, or content moderation Background in writing, editing, linguistics, or communications Familiarity with AI tools or language models Experience working with large datasets or repetitive tasks Tools & Work Environment Google Workspace (Docs, Sheets) Annotation platforms (internal or third-party tools) Communication tools (Slack, email) Compensation Flexible scheduling options (depending on workload availability) Opportunities for performance-based bonuses

• help accelerate RAVA, our AI voice support solution for broadband and connected home support • shape partner strategy across IVR / CCaaS platforms and related players • open executive relationships and facilitate partner conversations • refine positioning and messaging for RAVA

Company Description Version 1 has celebrated 30 years in business and continues to be trusted by global brands to deliver technology and transformation solutions that drive customer success. Our deep expertise enables our customers to navigate the rapidly evolving technology landscape. We foster strong partnerships with global technology leaders including Microsoft, AWS, Oracle, Red Hat, OutSystems, Snowflake, ensuring that our customers are provided with the highest quality solutions and services. We’re an award-winning employer reflecting how our employees are at the very heart of what we do: - UK & Ireland's premier AWS, Microsoft & Oracle partner - 3300+ strong, €350/£300m revenue business - 10+ years as a Great Place to Work in Ireland & UK - Best Workplace for Women in the UK & Ireland by GPTW - Best Workplace for Wellbeing in the UK by GPTW - We’re a core values driven company, we hire people who share our values, and we reward those who display and foster them, it’s deeply embedded within our DNA. Invest in us and we’ll invest in you. Job Description Overview As an AI Technical Lead / Architect focused on Generative and Agentic AI, you will architect, design, and lead the delivery of production-ready, enterprise-grade AI systems. You will take ideas from early experimentation and prototypes through scalable, secure, and reliable AI solutions used by real customers and internal users. The role focuses on building intelligent, agent-based systems that can reason, plan, integrate with tools, and make autonomous decisions at enterprise scale. Strong engineering mindset with end-to-end ownership, experience delivering real-world AI solutions at enterprise scale, and ability to mentor and influence across teams. Key Responsibilities Technical Leadership & Architecture - Provide technical leadership and architecture for Generative and Agentic AI initiatives - Design end-to-end AI system architectures covering orchestration, data, APIs, security, and deployment - Build LLM-based solutions using RAG, embeddings, prompt engineering, function calling, and agentic workflows - Ensure production readiness including CI/CD, testing, observability, scalability, security, and cost optimization - Mentor AI engineers and collaborate with business and technology stakeholders Generative & Agentic AI Engineering - Design and build LLM-based systems using techniques such as: - Retrieval Augmented Generation (RAG) - Embeddings and vector search - Prompt engineering and prompt optimization - Function calling and tool usage - Agentic and multi-agent workflows - Build AI systems that integrate LLMs with APIs, data platforms, enterprise applications, and workflow engines - Apply modern AI evaluation approaches including automated testing, benchmarking, and qualitative + quantitative LLM evaluation Engineering Exc ellence & Operations - · Apply strong software engineering and distributed systems principles to AI development - · Design for observability, including logging, metrics, tracing, alerts, and model performance monitoring - · Diagnose and resolve production issues related to latency, reliability, data quality, and model behavior - · Balance innovation speed with operational excellence and long-term maintainability Collaboration, Enablement & Mentorship - · Work closely with business stakeholders to translate real-world problems into AI-driven solutions - · Partner with AI engineers, data scientists, and platform teams to scale delivery - · Mentor and coach engineers on Generative AI, Agentic AI, and cloud-native best practices - · Support low-code and Copilot/Flow-style solutions where appropriate, while ensuring architectural integrity Qualifications - Bachelor’s or master’s degree in computer science, Engineering, or a related field. - 10+ years of experience in software engineering Programming & Engineering - Python - REST APIs - CI/CD pipelines - Automated testing - Distributed systems design - Generative & Agentic AI - Generative AI and LLM-based systems - Agentic and multi-agent workflows - Retrieval Augmented Generation (RAG) - Embeddings and vector databases - Prompt engineering and prompt optimization - LLM evaluation and testing strategies · Cloud & AI Platforms - Azure OpenAI - Azure AI Services - AWS Bedrock - Amazon SageMaker · Production & Operations - Observability (logs, metrics, tracing, alerts) - Monitoring and reliability engineering - Performance tuning and cost optimization Additional Information Why Version 1? At Version 1, we believe in providing our employees with a comprehensive benefits package that prioritises their wellbeing, professional growth, and financial stability. - Share in our success with our Quarterly Performance-Related Profit Share Scheme, where employees collectively benefit from a share of our company's profits - Strong Career Progression & mentorship coaching through our Strength in Balance & Leadership schemes with a dedicated quarterly Pathways Career Development programme - Flexible/remote working, Version 1 is tremendously understanding of life events and people’s individual circumstances and offer flexibility to help achieve a healthy work life balance - Financial Wellbeing initiatives including; Pension, Private Healthcare Cover, Life Assurance, Financial advice and an Employee Discount scheme - Employee Wellbeing schemes including Gym Discounts, Bike to Work, Fitness classes, Mindfulness Workshops, Employee Assistance Programme and much more. Generous holiday allowance, enhanced maternity/paternity leave, marriage/civil partnership leave and special leave policies - Educational assistance, incentivised certifications, and accreditations, including AWS, Microsoft, Oracle, and Red Hat - Reward schemes including Version 1’s Annual Excellence Awards & ‘Call-Out’ platform. - Environment, Social and Community First initiatives allow you to get involved in local fundraising and development opportunities as part of fostering our diversity, inclusion and belonging schemes. And many more exciting benefits… drop us a note to find out more. Version 1 is an equal opportunities employer. We are committed to building a diverse, inclusive and respectful workplace where everyone feels valued and able to thrive. We welcome applications from people of all backgrounds, identities and lived experiences, and we value the different perspectives people bring. We want every candidate to have a positive and accessible recruitment experience. If you need reasonable adjustments at any stage of the process, please contact [recruiter email address][EM1] at Version 1. We will consider all requests carefully, respectfully and confidentially.Video links: https://www.youtube.com/watch?v=F_d3ELTH5zo [EM1]Please add the email address for the lead recruiter - Department: Digital, Data and Cloud

• Design, build, and operationalize AI‑enabled workflows to improve efficiency, scalability, and outcomes • Partner with security and legal teams to ensure all AI solutions are compliant with healthcare regulations, including HIPAA • Conduct qualitative and quantitative analysis to define clear business requirements and translate operational challenges into actionable workflow designs • Architect and deploy AI-enabled workflows integrating internal systems, APIs, and third-party platforms • Present workflow solutions to stakeholders and lead training sessions • Establish telemetry for performance, drift, and cost • Troubleshoot issues and identify opportunities to improve workflow efficiency and additional automation