Role Description We are hiring an AI Operations Specialist to help build and scale AI-driven workflows across a fast-growing operations organization. This is a hands-on builder role for someone who can rapidly design, test, and deploy AI agents, automations, and reusable “skills” using tools like Claude, Zapier, OpenAI, n8n, Make, and related AI platforms. The ideal candidate is highly practical, fast-moving, and comfortable turning messy business processes into scalable AI-enabled workflows. This person should be able to work independently, identify automation opportunities, and quickly build working solutions. Responsibilities - Build AI agents, automations, and reusable “skills” that reduce manual work. - Rapidly prototype and deploy workflow automations using Claude, Zapier, n8n, Make, OpenAI, and similar tools. - Create AI-powered processes that support operations, administration, research, reporting, and internal workflows. - Integrate AI tools with existing business systems through APIs, webhooks, and automation platforms. - Identify repetitive manual workflows that can be automated or AI-assisted. - Map business processes and redesign them into scalable automated workflows. - Build repeatable systems that can be reused across teams and departments. - Improve speed, accuracy, and consistency of operational processes. - Test, evaluate, and improve AI agents and automations based on output quality and reliability. - Troubleshoot automation failures and improve workflow performance. - Document workflows, prompts, logic, and system instructions clearly. - Stay current on new AI tools and recommend practical ways to implement them. - Work with business and operations teams to understand pain points and translate them into AI solutions. - Train non-technical team members on how to use AI tools and workflows. - Serve as an internal AI automation expert and help drive adoption across the organization. Qualifications - 3+ years of experience in AI automation, workflow automation, operations, technical implementation, or related roles. - Strong hands-on experience with Claude. - Strong hands-on experience with Zapier. - Experience building AI agents, automations, or reusable AI workflows. - Familiarity with tools such as OpenAI, ChatGPT, n8n, Make, Airtable, Google Workspace, APIs, webhooks, or similar platforms. - Ability to quickly turn business requirements into working AI-enabled solutions. - Strong process-mapping and problem-solving skills. - Excellent documentation and communication skills. - Comfortable working independently in a fast-moving environment. Preferred Qualifications - Experience building Claude skills, custom GPTs, AI agents, or agentic workflows. - Experience with API integrations and webhook-based automations. - Experience using no-code/low-code automation platforms. - Basic scripting experience with Python or JavaScript. - Experience supporting U.S.-based teams or distributed teams. - Background in operations, business systems, productivity automation, or internal tools. Interview Requirement As part of the interview process, candidates must submit or walk through an example of a skill, agent, or automation you have personally built. The example should ideally include: - What problem it solved. - Tools used. - Workflow or agent logic. - Business impact or time saved. - Screenshots, demo, Loom video, or live walkthrough if available. What Success Looks Like - AI agents and automations are built quickly and used by the team. - Manual operational work is meaningfully reduced. - Reusable workflows and skills are documented and scalable. - Teams adopt AI tools more effectively. - The company develops a strong foundation for AI-enabled operations.

Role Description We're building a hands-on workshop series for experienced QA engineers on the practical use of AI-assisted testing tools in real-world QA workflows. As the Expert Instructor, you will lead interactive live sessions that go beyond passive learning, helping QA engineers integrate AI tools into their day-to-day practice. Your audience will be B2B clients: skilled QA professionals working in fintech environments — payments, banking, card systems, and adjacent domains — focused on improving coverage, efficiency, and testing quality through AI-assisted workflows. Qualifications - 5+ years of professional experience in QA engineering - Hands-on experience with AI-assisted QA tools and proven cases of their successful implementation - Comfort with test strategy, automation approaches, and modern QA tooling in high-compliance, high-reliability environments - Background in engineer advocacy, tech leadership, conference participation, or mentoring - Ability to translate complex QA and fintech concepts into actionable, engaging learning experiences - Russian language (some of our students speak Russian) - Fluent spoken and written English - Confident, collaborative, and audience-oriented facilitation style - Strong attention to detail and ability to work independently - Time commitment: able to devote ~10 hours per week Requirements - Conduct live, interactive training sessions and workshops - Create clear, concise content for lessons, manuals, and assessments — including texts, draft slides, and screencasts - Participate as a speaker in learning videos and design the course's final project - Review and incorporate learner feedback to continuously improve session and content design - Work with the curriculum team to ensure strong alignment between async and live content - Communicate with students during Q&A sessions - This role requires 10-15 hours of availability per week Benefits - The opportunity to create impactful content while maintaining your primary job - Competitive hourly rate of $40-$80 USD for flexible part-time collaboration with significant impact and an amazing team - Remote cooperation with a schedule convenient for both you and the team - Cross-cultural experience: Become part of an international team and connect with professionals from diverse backgrounds - Meaningful impact: Share your knowledge and help experienced engineers advance their skills through high-quality educational content - Participation in innovative projects: Contribute to shaping the future of programming education and AI adoption - Professional growth: Receive feedback and develop your skills as a technical content creator and thought leader

• Depending on the task, you may be asked to generate original content or assess AI-generated outputs. • Deliver culturally relevant and appropriate content by applying local insight into tone, symbolism, visual cues, and market fit. • Spot common issues such as visual artefacts, inconsistent style, translation errors, or cultural mismatches. • Provide concise, structured annotations that can be used directly for model improvement. • Apply evaluation guidelines consistently and participate in calibration and QA processes to ensure aligned scoring and judgment standards

• Support a range of AI training and evaluation projects. • Evaluate prompts and AI-generated outputs, reviewing and correcting text. • Analyze multimedia content, contributing voice recordings. • Spot common issues such as visual artefacts and translation errors. • Provide concise, structured annotations for model improvement. • Apply evaluation guidelines consistently and participate in QA processes.