Role Description We are seeking an AI-Fluent Cardiology Operations Coordinator with a clinical healthcare background to support a U.S.-based cardiology team. The role focuses on: - Patient communication - Care coordination - Clinical documentation - Operational workflow support while leveraging AI tools to improve efficiency and documentation processes. Qualifications - Clinical healthcare background required (CNA, MA, RN, or equivalent) - 3+ years experience in healthcare, telehealth, or medical office settings - Experience with cardiology workflows and cardiac terminology - B2+ English proficiency - B2+ Spanish proficiency - Experience using EMR/EHR systems - Strong patient-centered communication skills - Ability to work during U.S. business hours (PST) Requirements - Preferred outpatient cardiology, home health, or telemedicine experience - Remote patient monitoring exposure - Medical billing or prior authorization knowledge - Familiarity with AI-assisted documentation tools Company Description

Role Description We are sharing a specialised part-time consulting opportunity for detail-oriented professionals with strong Korean and English language skills, transcription ability, critical thinking, and high-quality written communication. This role supports an exciting collaboration with a leading frontier AI research laboratory focused on improving advanced audio and language models through structured transcription, annotation, evaluation, and benchmarking workflows. Selected professionals will work on transcription, annotation, and evaluation tasks involving Korean audio and video content, helping advanced AI systems better understand linguistic nuance, formatting precision, instructional clarity, and high-quality language use across general consumer contexts. This opportunity is especially well-suited to candidates with strong academic or analytical backgrounds who are fluent in Korean and English and enjoy transforming complex audio and visual information into precise, well-structured text. Key Responsibilities - Audio & Video Transcription and Optimization - Listen to, analyze, and transcribe audio and video content in Korean while following detailed constraints and instructions. - Produce high-quality written outputs, with supporting work in English when required. - Ensure clarity, accuracy, and strict adherence to formatting and stylistic guidelines. - Rubric Development & Evaluation Standards - Establish clear expectations for correct and high-quality responses in general consumer audio contexts. - Develop detailed evaluation rubrics and grading guidelines in Korean and English. - Document standards to ensure consistency across reviewers and model evaluations. - Model Testing, Benchmarking & QA Support - Run prompts through language models and assess generated outputs. - Evaluate responses against predefined criteria for accuracy, completeness, and instructional clarity. - Participate in QA and review cycles to ensure tasks, rubrics, and outputs meet quality standards before integration into official benchmarks. - Collaborate with project leads to resolve ambiguities and improve task design. Qualifications - Fluency in Korean and English, both spoken and written. - Strong writing, editing, and critical thinking skills. - The ability to work independently, manage time effectively, and meet deadlines. - Comfort working across structured transcription, annotation, and evaluation tasks. - Availability to commit 10–20 hours per week. Preferred qualifications - College student or recent graduate status. - Background in linguistics, humanities, social sciences, or technical fields. - Prior experience with transcription, annotation, evaluation, or research workflows. - Interest in AI, language models, or applied research environments. Benefits - Contribute specialised Korean language and evaluation expertise to a cutting-edge AI collaboration. - Help improve advanced audio and language models through rigorous transcription, benchmarking, and QA work. - Work on high-impact evaluation workflows with strong relevance to real-world language understanding. - Flexible remote work with structured expectations and competitive hourly compensation. Contract Details - Independent contractor role. - Fully remote with flexible scheduling. - Hourly compensation of $50 per hour. - Minimum commitment of 10–20 hours per week. - Short-term structured engagement. - Work in a structured, goal-oriented project environment with clear tooling, guidelines, and support. - Gain hands-on exposure to real-world AI research and evaluation workflows. - Projects may be extended, shortened, or concluded early depending on project needs and performance. - Weekly payments via Stripe or Wise. - Work will not involve access to confidential or proprietary information from any employer, client, or institution. - Please note: We are unable to support H1-B or STEM OPT candidates at this time. - Start date: Immediate. About the Platform This opportunity is available through a leading AI-driven work platform that connects domain experts with frontier AI research projects. Experts contribute to improving advanced AI systems by providing specialised expertise across real-world workflows, structured evaluation, model training support, and domain-specific content validation.

Role Description Our client (iMPLEMENTAi.ae) is seeking a Vibe Coder with proven hands-on experience using AI-powered development tools, specifically Claude Code, to build and ship real-world applications. This role focuses on execution, speed, and results, leveraging agentic AI workflows to develop websites, automations, and scalable systems. The position offers full flexibility in work location, with a strong emphasis on output and delivery rather than traditional credentials. - Build, ship, and maintain applications, websites, and automation systems using AI-assisted development tools. - Utilise Claude Code (CLI and IDE integrations) as the primary development engine. - Work within modern IDE environments such as VS Code integrated with AI agents and orchestration tools. - Collaborate with AI coding partners including OpenAI Codex and Gemini to accelerate development cycles. - Develop and optimise agentic workflows for automation, data handling, and system integrations. - Rapidly prototype, test, and deploy functional solutions with a focus on real-world usability. - Maintain clean, scalable, and production-ready codebases. - Continuously improve systems using AI-driven iteration and feedback loops. Qualifications - Minimum 1 year of hands-on experience using an IDE integrated with AI tools (non-negotiable). - Proven experience using Claude Code for development and execution. - Demonstrated track record of shipped projects (applications, automations, or systems). - Strong understanding of modern AI-assisted development workflows and tooling. - Ability to independently build and deploy solutions from concept to completion. - Must be able to present completed work during the interview process. - Results-driven mindset with strong ownership and execution capability. - Formal education and degrees are not required; we don't care about your degrees. - Candidates without completed and deployed projects should not apply! Benefits - Competitive tax-free salary of AED 8,000 – 15,000 per month. - Full flexibility: remote, hybrid, or office-based work. - Opportunity to work on cutting-edge AI-driven systems and automation. - High-performance, results-focused environment. Similar Job Titles in Dubai - AI Developer - Automation Engineer - AI Software Engineer - Prompt Engineer - AI Systems Developer To Apply Please fill in all the fields and submit your CV to this job post. Important: Be prepared to demonstrate completed projects during the interview. Applications without proven shipped work will not be considered!

• Discover & shape high-value AI opportunities (internal process focus) • Partner with functional leaders to identify workflows where AI can remove friction, reduce cycle time, improve accuracy, or strengthen compliance. • Map the current state process, identify bottlenecks and failure modes, and re-design the process to be automation-ready (clarify inputs/outputs, decision points, data sources, controls, and ownership). • Define success metrics (time saved, error reduction, throughput, adoption, auditability) and translate business goals into a build plan. • Build internal AI agents and automation tools (end-to-end ownership) • Design and implement internal agents using modern LLM patterns (tool use/function calling, retrieval-augmented generation where needed, structured outputs, and human-in-the-loop checkpoints). • Build whole-product solutions: lightweight UX, service/API layer, integrations, data access, and automation triggers—appropriate to the use case. • Use AI-assisted development techniques to speed delivery while sustaining maintainability and readability. • Operate, maintain, and scale (production mindset) • Own reliability: monitoring, alerting, logging, incident response, and continuous improvements. • Establish repeatable patterns for onboarding new workflows and scaling existing ones (templates, shared components, evaluation harnesses, documentation). • Create and maintain runbooks and lightweight training so internal teams can adopt solutions confidently. • Risk, control, oversight, security & compliance by design • Implement appropriate guardrails: data minimization, access controls, secrets management, safe prompt/tooling patterns, output validation, and traceability. • Ensure solutions meet internal security and compliance expectations (including audit readiness, change management discipline, and clear ownership). • Maintain clear documentation of how systems work, what data they touch, and how risks are mitigated. • Cross-functional coordination • Coordinate across IT/Security, Legal/Privacy, and functional SMEs to get solutions approved and adopted. • Communicate progress with crisp updates; manage tradeoffs between speed and rigor. • Outcomes to be achieved • A portfolio of high-impact internal AI agents deployed into real workflows (not demos), with measurable business outcomes. • A scalable operating model for internal AI: reusable components, clear governance, and a predictable path from idea → production. • Reduced process friction through AI + process redesign, not AI bolted onto broken workflows. • High trust in outputs through appropriate controls, auditability, and operational reliability. • Working style / What success looks like here • You are low ego, high output: you can operate independently, but you collaborate naturally and bring others along. • You can move fast without being reckless: you know where to be scrappy and where to add rigor. • You care about outcomes: automation only matters if it changes how people work.