Role Description We are seeking experienced VIC and QLD Years 11-12 English teachers to support the validation of our AI-powered exam revision tool. In this contract role, you'll review AI-generated student responses, evaluate AI-generated feedback and help ensure the quality, accuracy and effectiveness of the learning experience. This opportunity might suit you if: - Have at least 3 years' experience teaching Years 11–12 English in Victoria or Queensland - You are experienced in peer-checking educational content and providing feedback to others - Have excellent attention to detail and a strong commitment to quality - Are comfortable using technology and interested in the role of AI in education Project details: - Project commencement: Late June 2026 - Duration: Approximately 3 weeks - Commitment: Around 12 hours total, with flexibility to work around your schedule - Engagement: Independent contractor arrangement - Payment: $750 AUD If you'd like to contribute to the future of AI-assisted learning, we'd love to hear from you. Please apply with your resume and a brief cover letter outlining your relevant experience and availability for the role. Qualifications - At least 3 years' experience teaching Years 11–12 English in Victoria or Queensland - Experience in peer-checking educational content and providing feedback - Excellent attention to detail - Strong commitment to quality - Comfortable using technology - Interest in the role of AI in education Requirements - Independent contractor arrangement - Flexibility to work around your schedule Benefits - Payment: $750 AUD - Opportunity to contribute to AI-assisted learning

Role Description I run Adcubator, a Dubai-based Google Ads agency managing nine figures of annual ad spend across 180+ ecommerce clients. We don't just buy media—we build the infrastructure behind it. Internal tools, AI pipelines, automation systems, and workflows that give us an unfair advantage over other agencies. We already have a working AI-powered landing page generator (Forge), automated research pipelines, and several internal systems powered by Claude, Manus, fal.ai, and custom APIs. These tools exist because I built them with AI assistants. Now I need someone who can own them, improve them, and build the next generation of tools alongside me and the team. You'll build with Manus, Claude, Anthropic's API, fal.ai, and whatever other tools or APIs get the job done. I'll tell you what needs to be built—you'll figure out how to build it and ship it fast. You'll work directly with me and the team to create tools that make everyone faster, more effective, and more dangerous in the marketplace. What You'll Do - Build Internal AI Tools - Take rough requirements—sometimes just a voice note or sketch—and turn them into working tools. - Build complete web applications: - User interfaces - Backends - Databases - API integrations - Integrate LLMs (Claude, Anthropic API, GPT, etc.) into production workflows. - Build AI pipelines: - Scraping - Processing - LLM analysis - Structured output generation - Storage - Ship quickly. New tools should move from idea to working v1 in days, not weeks. - Work with Manus, Claude & AI-First Development Tools - Use Manus as a development accelerator. - Know how to prompt, direct, and generate production-quality code using AI. - Use Claude (chat and API) for feature development, logic creation, and problem solving. - Chain AI tools together effectively: - Claude for reasoning - fal.ai for image generation - Manus for development - Custom code for orchestration - Build tools that use AI themselves: - API-driven applications - Image generation workflows - Data analysis systems - Structured output generation - Stay current with new AI tools and APIs and evaluate emerging technologies as they become available. - Own & Improve Existing Tools - Take ownership of Adcubator Forge (our internal AI landing page builder). - Maintain and improve existing automation systems. - Monitor tool health and proactively fix issues. - Improve performance, reliability, and user experience without needing detailed instructions. - Automation & Infrastructure - Build scrapers that extract structured data from: - Shopify stores - Ad libraries - Competitor websites - Set up: - Databases - File storage - Authentication systems - Deployments - Connect tools to existing systems: - Slack - ClickUp - Google Workspace - Google Ads API - Build: - Webhook handlers - Scheduled jobs - Event-driven workflows - Work with the Team - Collaborate directly with Jem. - Gather requirements, ask the right questions, and execute. - Work closely with media buyers and the creative team to identify bottlenecks and opportunities. - Propose solutions instead of simply executing instructions. - Document everything you build so the team can use it independently. - Ship incrementally: - Working v1 first - Iterate based on feedback Qualifications - AI-Assisted Software Development - You actively use AI tools such as Manus, Claude, Cursor, Copilot, and similar AI coding tools. - You're not writing everything from scratch. You're directing AI effectively and producing high-quality output. - Full-Stack Development - You can build complete applications end-to-end, including frontend, backend, and database architecture. - You've shipped real products that real users rely on. - Technology choices matter less than your ability to deliver complete solutions. - LLM & API Integration Experience - You've built production systems using Claude, GPT, and similar LLM APIs. - Experience with structured outputs, function calling, multi-step workflows, and prompt engineering. - Production AI systems—not just chatbots. - API Fluency - You can quickly understand and integrate new APIs. - Comfortable with REST APIs, webhooks, OAuth, and third-party integrations. - Speed - Working prototype in a day. - Polished v1 within a week. - You prioritize shipping first, then improving. - Self-Direction - You can take a goal, break it down, and execute without constant guidance. - You ask questions when something is genuinely unclear—not because you're uncomfortable making decisions. - Anthropic Ecosystem Experience - You understand Claude, Anthropic API, and production AI systems built on top of Claude. - Bonus points if you've used Manus extensively. Strong Bonus Skills - Manus experience - Image generation APIs: fal.ai, Replicate, ComfyUI, Flux - Google Ads API experience - Meta Marketing API experience - Shopify development - Large-scale web scraping - Anti-bot and rate-limit handling - Browser automation: Puppeteer, Playwright, Chrome extension development What I'm Not Looking For - Someone who wants to spend months architecting before shipping - Frontend-only specialists - Backend-only specialists - Developers who need detailed product specs before starting - People who haven't used AI tools to accelerate their work Tools & Technologies You'll Work With - AI Development - Manus - Claude (Chat + API) - Cursor - Anthropic API - Image & Video APIs: fal.ai, Flux, Runway API - Frontend - React - Tailwind CSS - shadcn/ui - Backend - Node.js - Express - tRPC - Drizzle ORM - Database & Storage - MySQL - S3 - Infrastructure - Docker - GitHub - Railway - Render - VPS environments - Communication & Operations - Slack - ClickUp - Google Workspace Examples of Things You'll Build - AI-Powered Competitor Research Tool - Scrapes Meta Ads Library, analyzes winning creatives, and outputs strategic recommendations. - Automated Client Reporting System - Pulls Google Ads data, analyzes performance using Claude, and generates branded PDF reports. - AI Video Script Generator - Takes a product page URL and generates multiple script variations based on different awareness levels. - Automated Landing Page QA System - Checks: - Broken images - Pricing errors - Copy quality - Before pages go live. - Campaign Monitoring Slack Bot - Monitors performance and alerts the team when metrics fall below predefined thresholds. - Internal Performance Dashboards - Provides real-time visibility into trends and performance across all client accounts. Environment & Benefits - Global Remote - Work from anywhere in the world. - Direct Access - Work directly with Jem. - No layers of management between you and the decision-maker. - Annual Team Getaway - Once a year, the team meets in person to strategize and connect. - This year's destination: Bali (all expenses paid). - Additional Benefits - Standard PTO - Wellness bonus - Flat hierarchy - Best ideas win - AI Budget - Full access to the AI tools and APIs needed to do your best work, including Claude, Manus, fal.ai, and other approved tools. - Ownership - The tools you build will be used by the entire team every day. - You'll see a direct connection between your work and business outcomes. Setup - Full-time - 40 hours per week - Flexible schedule - Availability overlapping Dubai and European time zones - Fully remote How to Apply - Please submit: - Your CV - Application Letter - A short explanation of why you're a strong fit for the role. - Portfolio - Send 2–3 examples of tools, applications, or AI integrations you've built. - Acceptable formats: - GitHub repositories - Live demos - Detailed project descriptions - If work is under NDA, describe: - Architecture - Your responsibilities - Technologies used Quick Challenge Describe how you would build an AI tool that takes a Shopify product URL as input and outputs a complete landing page including: - Copy - Images - HTML Include: - Tools and APIs you would use - System architecture - Estimated timeline to ship v1 Maximum length: 1 page

Head of IT and AI Operations Paris Growth – IT and AI Ops / CDI / Hybrid We are looking for a Head of IT & AI Ops to lead the systems, infrastructure, tooling, security, and operational practices that allow our teams to move fast without compromising reliability, confidentiality, or scientific excellence. Reporting to the COO, you will lead a ~20-person organization built around two teams, IT and AI Ops, each with a Head already in place. The IT team covers Corporate IT, Cloud & Infra Ops and Cybersecurity, while the MLOps team enables researchers and engineers to develop, deploy, monitor, and reproduce data and model-driven workflows. You will work closely with Software, Firmware, Calibration, Quantum Hardware, Data, Security, People, Finance, and Executive Leadership teams to turn operational needs into robust, scalable, and elegant systems. Your role is to create leverage for the entire company: enabling scientists to iterate faster, engineers to deploy with confidence, employees to work seamlessly, and leadership to make decisions based on reliable data and robust operations. You will build systems that can scale with Alice & Bob's ambition through 2030 and beyond. Responsibilities: - Lead and grow the IT & AI Ops organization Manage two Heads of (IT and AI Ops) and their respective teams. Define team structure, operating rhythms, hiring roadmap, and performance standards as the organization scales toward and beyond 20 people. - Own IT strategy and operations Set the direction for workplace technology, identity and access management, endpoint management, SaaS administration, support operations, asset lifecycle, vendor management, procurement, and documentation. Ensure a consistent, reliable IT experience across Paris, Aubervilliers, and remote contexts. - Build AI tooling and infrastructure for internal teams Define and execute the AI Ops strategy serving researchers, engineers, calibration, and data teams. Deliver reproducible experiment pipelines, version and data management, CI/CD for ML workflows, observability, and model lifecycle tooling, calibrated to the realities of a quantum hardware environment. - Own infrastructure, reliability, and security Lead the evolution of internal infrastructure across cloud, on-premise, lab-adjacent systems, networks, storage, and compute environments. Support data-heavy and experiment-driven workflows, including interfaces with software, HPC clusters, and lab systems. Lead the implementation of security controls, access governance, endpoint security, incident response, and business continuity. Drive ISO 27001, NIS2, and related compliance efforts. Protect Alice & Bob's intellectual property through enforceable, scalable, and non-blocking security practices. - Act as operational technology partner to the COO Own the IT & AI Ops roadmap, budget, and KPIs. Surface risks, infrastructure gaps, and capability investments to executive leadership. Translate operational complexity into clear decisions. Requirements: - 10+ years of experience in a relevant technological field, with demonstrated experience managing managers and structuring multi-team organizations. - Strong IT operations foundation: identity and access management, endpoint lifecycle, SaaS stack administration, support operations, vendor management, and security controls at scale. - Solid Cloud & Infrastructure Operations background: multi-cloud architecture and cost governance, infrastructure-as-code, container orchestration, network and storage management, reliability engineering, and capacity planning across production and research environments. - Hands-on Cybersecurity expertise: threat detection and incident response, vulnerability management, security architecture review, compliance frameworks, data protection controls, and embedding security practices across engineering and operational workflows. - Proven MLOps or ML infrastructure experience: reproducible pipelines, experiment tracking, data and model versioning, CI/CD for ML workflows, and observability in research and engineering environments. - Ability to operate across a technically diverse organization: PhD-level researchers, hardware engineers, software engineers, and business stakeholders. You are comfortable with ambiguity, but you do not let ambiguity become chaos: you create structure, make trade-offs explicit, and drive decisions. - Strong execution discipline: roadmap ownership, budget management, prioritization under constraint, measurable delivery. You can zoom out to define strategy and zoom in to debug a process, challenge an architecture, or unblock a team. - You combine a strong service mindset with the ability to enforce standards. You care deeply about user experience, and you know when pragmatism must give way to rigor. - Fluent in French & English. Nice to have: - Experience in deeptech, quantum, semiconductor, aerospace, HPC, or another R&D-intensive hardware environment. - Experience supporting scientific computing environments: GPU/CPU clusters, SLURM, Kubernetes, distributed systems. - Experience managing IT operations across multiple sites. - Experience with AI tooling governance and secure adoption of LLM tools within a technical organization. Benefits: - Our success is your success: own it with our BSPCE plan - Direct IP Compensation: Earn substantial bonuses for driving the core patents that define our quantum architecture. - Flexible remote policy, up to 40 % a month - A Parental plan including additional benefits such as crèche support or additional days-off to take care of under 12 years old children - Subsidized membership with Urban Sports Club - Mental health support with moka.care - 25-day vacation policy (as per French law) + RTT - Half of transportation cost coverage (as per French law), or yearly allowance for the die-hard bicycle users - Competitive health coverage, with Alan. - Meal vouchers with Swile, as well as access to a fully equipped and regularly stocked kitchen - French language courses covered by the company for those interested

Role Description BCE Global Tech's Global Quality Engineering (GQE) function is building one of Canada's most ambitious AI quality programs — certifying every AI and agentic system deployed across Bell Canada before it reaches production. As a QA AI Specialist, you sit at the intersection of artificial intelligence, software engineering, and quality assurance: a hybrid role that does not yet have a textbook, because the discipline is being written in real time. You will do two things simultaneously: - Bring AI into GQE's existing testing practice — embedding AI-powered capabilities into the test automation tooling, pipelines, and frameworks that 250 QA engineers already use every day. - Build and operate the evaluation frameworks that test the AI systems being created by other Bell engineering teams — agents, orchestration pipelines, RAG applications, Salesforce AgentForce workflows, and ServiceNow Now Assist integrations. Qualifications - 5+ years of software quality engineering experience, with at least 2 years working directly with AI/ML systems, LLMs, or AI-powered applications. - Hands-on experience building or evaluating LLM-based applications — including prompt engineering, RAG pipelines, or agentic workflows. - Proficiency in Python: test framework development, API integration, data processing, and evaluation scripting. - Experience with modern test automation frameworks (Playwright, Selenium, Pytest, RestAssured, Postman/Newman) and CI/CD platforms (GitHub Actions, Google Cloud Build, Jenkins). - Working knowledge of at least one major AI/ML platform — Google Vertex AI, Azure OpenAI, or AWS Bedrock — with hands-on API usage. - Strong conceptual understanding of how LLMs work: tokenization, temperature and sampling, context windows, grounding, hallucination mechanics, and fine-tuning. - Demonstrated ability to design test strategies for non-deterministic systems — moving beyond assertion-based testing to probabilistic, rubric-based evaluation. Requirements - AI-Enhanced QA Tooling - Modernize GQE’s QA stack by embedding AI to improve speed, coverage, and intelligence: - Integrate AI-driven test generation into Selenium, Playwright, and Postman frameworks. - Use predictive models to prioritize tests based on code changes and defect history. - Enable self-healing automation for UI/API changes. - Automate defect triage and root-cause analysis using failure clustering. - Support natural-language test authoring (English/French) for non-technical QA. - Continuously pilot emerging AI testing tools via a technology radar. - AI Evaluation & Quality Pipelines - Build scalable evaluation systems tailored for AI behavior, not rule-based logic: - Implement LLM-as-Judge pipelines on Vertex AI (Gemini) across key quality dimensions. - Generate large, diverse, and adversarial test corpora from seed intents. - Evaluate RAG systems using metrics like faithfulness, relevance, and recall (RAGAS). - Validate multi-step agent workflows, tool usage, and escalation behavior. - Embed AI evaluations into CI/CD as mandatory release gates. - AI Safety & Adversarial Testing - Operate a dedicated AI red-teaming capability to uncover AI-specific risks: - Execute prompt injection and poisoned-context attacks on RAG systems. - Run automated jailbreak and constraint-bypass probes (e.g., Garak). - Systematically test hallucination, numerical accuracy, and domain knowledge. - Assess toxicity, bias, and fairness across English and French interactions. - Stress-test agentic systems for runaway actions and scope violations. - Continuous Quality Evolution - Ensure the quality framework evolves as models and systems change: - Monitor production AI outputs for quality drift and trigger re-certification. - Feed real production failures back into the test corpus. - Track model/version changes and generate quality delta reports. - Maintain a living benchmark of Bell-specific AI quality standards. - Continuously adopt new evaluation research and industry best practices. - Partner early with AI/ML teams to embed quality by design. - AI Quality Certification Operations - Lead technical execution of the AIQC program: - Own Tier 2 & 3 certification testing from corpus design to red-teaming. - Calibrate LLM-as-Judge rubrics using human-labeled golden datasets. - Produce clear AI Quality Certificates with scores, risks, and conditions. - Advise teams on AI testability, prompts, and evaluation instrumentation. - Contribute to AIQC playbooks, documentation, and knowledge sharing. Benefits - Competitive salaries and comprehensive health benefits. - Flexible work hours and remote work options. - Professional development and training opportunities. - A supportive and inclusive work environment. - Access to cutting-edge technology and tools.