Remoat Teams

Transform Financial Communication Through Innovation | Remoat Teams Join our innovative team where artificial intelligence meets human precision in financial services transcription. At Remoat Teams, we're revolutionizing how financial institutions handle their critical communications through advanced AI-powered transcription solutions enhanced by expert human oversight. Our AI Transcript Quality Editors ensure impeccable accuracy in financial documentation while working with cutting-edge AI technology. This role combines technical expertise with deep attention to financial terminology and regulatory compliance. Compensation & Schedule: We offer a comprehensive package designed to recognize your expertise: Monthly compensation: PHP 25,000 (USD 442 / INR 37,000) Standard hours: 8 AM - 5 PM PHT (5:30 AM - 3:30 PM IST) Flexible part-time positions available with AM/PM scheduling options Performance-based incentives and career advancement opportunities Core Responsibilities: Your role is central to maintaining our reputation for excellence in financial transcription services. You will focus on perfecting AI-generated transcripts from various financial contexts, including earnings calls, investment presentations, and regulatory meetings. This involves: Refining AI-generated financial transcripts to ensure 99% accuracy Applying expert knowledge of financial terminology and industry standards Managing complex multi-speaker content from financial sector meetings Implementing comprehensive style guides while maintaining regulatory compliance Contributing to the continuous improvement of our AI transcription systems Ensuring consistent formatting and documentation standards Essential Requirements: Technical Infrastructure: High-speed internet connection (50 Mbps download/10 Mbps upload minimum) Professional-grade noise-canceling headphones Private, quiet workspace for handling confidential content Professional Qualifications: Superior English language proficiency with focus on financial terminology Strong understanding of financial markets and industry terminology Technical aptitude and ability to work with AI-powered platforms Meticulous attention to detail, particularly with numerical data Ability to maintain strict confidentiality with sensitive financial information Strong time management skills and commitment to deadlines Professional Development: We invest in your growth and expertise: Comprehensive training in financial sector terminology and compliance Structured advancement path to senior quality assurance positions Regular performance evaluations and skill enhancement opportunities Exposure to emerging AI technologies in financial services Selection Process: Our streamlined hiring approach focuses on your capabilities: Two-phase evaluation of financial style guide proficiency Hands-on practice with actual financial content Paid trial period to ensure mutual fit No traditional interviews required Whether you're an experienced editor looking to specialize in financial services or a finance professional with strong language skills, we offer an environment where precision and innovation converge. Join our global team and help set new standards in financial content quality. Ready to advance your career at the intersection of AI technology and financial services? Apply now through our portal and begin your journey in professional financial content refinement. The success of our financial transcription services depends on our team's expertise in combining AI efficiency with human insight. Join us in setting new standards for accuracy and reliability in financial documentation. Show more Show less

If you haven't consistently produced viral B2B Youtube content and aren't obsessed with studying the editing styles of top business creators like Alex Hormozi, Dan Martell, and Gary Vee, we kindly ask that you don't apply for this role. Our client is looking for a video editing maverick who lives and breathes social media trends, has mastered AI-enhanced editing workflows, and can transform complex business concepts into binge-worthy content. About Us Our client is a forward-thinking startup revolutionizing B2B content creation through innovative storytelling and AI-enhanced video production. With a focus on creating high-impact business content that actually converts, we're building the future of B2B social media presence. To drive this mission, we're seeking a Senior Video Editor who can blend creative excellence with technical innovation. Role Overview As our Senior Video Editor , you'll be the creative force behind our client's video content strategy, working directly with the Content Director to produce compelling business content that stands out in the saturated social media landscape. You'll lead the transformation of long-form content into viral short-form videos, leverage AI tools to enhance production efficiency, and set new standards for B2B content creation. This role requires someone who understands both the art and science of viral content, combining traditional editing skills with cutting-edge AI tools and animation techniques. Key Responsibilities 1. Content Creation & Video Production - Lead the production of high-quality, viral-optimized video content for YouTube and other platforms - Transform long-form content into engaging shorts and clips that maintain message integrity - Implement advanced editing techniques inspired by top business content creators - Drive innovation in visual storytelling for B2B content 2. Technical Excellence & AI Integration - Leverage AI tools to enhance editing workflow and production efficiency - Develop and optimize templates for consistent, high-quality output - Create custom motion graphics and animations that elevate content quality - Implement advanced color grading and sound design techniques 3. Creative Direction & Style Development - Establish and maintain a distinctive visual style for the brand - Create compelling thumbnails and video assets that drive click-through - Design eye-catching motion graphics and animations - Develop innovative ways to present business concepts visually 4. Performance Optimization - Analyze video performance metrics and adjust strategies accordingly - Stay current with platform algorithm changes and optimization techniques - Test and implement new editing styles and formats - Contribute to content strategy based on performance data 5. Team Collaboration & Leadership - Mentor junior editors on advanced editing techniques and AI tools - Collaborate with content strategists to enhance video effectiveness - Provide creative input on content planning and execution - Share knowledge and best practices with the broader team Who You Are - You're obsessed with creating viral content and understand what makes videos perform - You have a deep understanding of B2B content creation and audience engagement - You're constantly exploring new AI tools and editing technologies - You have a strong eye for design and animation - You're passionate about pushing creative boundaries in business content Qualifications a. Technical Skills - 5+ years of professional video editing experience - Expert proficiency in Premiere Pro, After Effects, and related Adobe Creative Suite - Strong understanding of AI editing tools and automation - Advanced motion graphics and animation capabilities - Demonstrated experience with short-form content creation b. Creative Excellence - Proven track record of creating viral business content - Strong portfolio showing B2B content expertise - Deep understanding of platform-specific content requirements - Excellence in thumbnail design and video optimization - Strong background in graphic design and animation c. Additional Requirements - Experience with AI tools for video editing and content creation - Understanding of B2B content marketing principles - Strong project management and time management skills - Ability to work independently and as part of a team What We Offer - Opportunity to shape the future of B2B content creation - Access to cutting-edge AI tools and technologies - Creative freedom to innovate and experiment - Fully remote work environment - Competitive compensation package - Professional development opportunities How to Apply Please submit your application including: 1. Your portfolio featuring your best viral B2B content 2. Examples of short-form videos you've created from long-form content 3. A brief video (2 minutes max) explaining your editing process and how you use AI tools If you live and breathe video editing, understand the science of viral content, and are ready to help build a MASSIVE B2B YouTube presence, we want to hear from you! Show more Show less

Transform Financial Communication Through Innovation | Remoat Teams Join our innovative team where artificial intelligence meets human precision in financial services transcription. At Remoat Teams, we're revolutionizing how financial institutions handle their critical communications through advanced AI-powered transcription solutions enhanced by expert human oversight. Our AI Transcript Quality Editors ensure impeccable accuracy in financial documentation while working with cutting-edge AI technology. This role combines technical expertise with deep attention to financial terminology and regulatory compliance. Compensation & Schedule: We offer a comprehensive package designed to recognize your expertise: Monthly compensation: PHP 25,000 (USD 442 / INR 37,000) Flexible part-time positions available with AM/PM scheduling options Performance-based incentives and career advancement opportunities Core Responsibilities: Your role is central to maintaining our reputation for excellence in financial transcription services. You will focus on perfecting AI-generated transcripts from various financial contexts, including earnings calls, investment presentations, and regulatory meetings. This involves: Refining AI-generated financial transcripts to ensure 99% accuracy Applying expert knowledge of financial terminology and industry standards Managing complex multi-speaker content from financial sector meetings Implementing comprehensive style guides while maintaining regulatory compliance Contributing to the continuous improvement of our AI transcription systems Ensuring consistent formatting and documentation standards Essential Requirements: Technical Infrastructure: High-speed internet connection (50 Mbps download/10 Mbps upload minimum) Professional-grade noise-canceling headphones Private, quiet workspace for handling confidential content Professional Qualifications: Superior English language proficiency with focus on financial terminology Strong understanding of financial markets and industry terminology Technical aptitude and ability to work with AI-powered platforms Meticulous attention to detail, particularly with numerical data Ability to maintain strict confidentiality with sensitive financial information Strong time management skills and commitment to deadlines Professional Development: We invest in your growth and expertise: Comprehensive training in financial sector terminology and compliance Structured advancement path to senior quality assurance positions Regular performance evaluations and skill enhancement opportunities Exposure to emerging AI technologies in financial services Selection Process: Our streamlined hiring approach focuses on your capabilities: Two-phase evaluation of financial style guide proficiency Hands-on practice with actual financial content Paid trial period to ensure mutual fit No traditional interviews required Whether you're an experienced editor looking to specialize in financial services or a finance professional with strong language skills, we offer an environment where precision and innovation converge. Join our global team and help set new standards in financial content quality. Ready to advance your career at the intersection of AI technology and financial services? Apply now through our portal and begin your journey in professional financial content refinement. The success of our financial transcription services depends on our team's expertise in combining AI efficiency with human insight. Join us in setting new standards for accuracy and reliability in financial documentation. Show more Show less

If you haven’t built and scaled a 0-1 product to at least 7-figure (USD) ARR and/or been part of a YC (or equivalent startup) founding engineer team we kindly ask that you don't apply for this role. Our client is looking for a hands-on engineer who dreams about LLM solutions, keeps up with the latest AI research for fun, and has previously led technical early-stage startups in a YC batch (or an equivalent high-growth environment). About Us Our client is an innovative startup revolutionizing how businesses operate through AI and automation. With a focus on efficiency and scalability, we are building the future of intelligent workflows. To drive this mission, we are seeking a highly skilled Technical Chief of Staf f. This role is for someone deeply embedded in the startup and AI ecosystem, passionate about building AI-powered products from the ground up and integrating them into real-world applications . Role Overview As the Technical Chief of Staff, you will report directly to the CEO and play a critical role in shaping the company’s technical direction. You will build AI-powered applications end-to-end, ensuring seamless integration with existing business processes. This role requires a blend of hands-on engineering, AI research, and strategic thinking to develop scalable solutions that align with company goals. You will collaborate across departments, identifying pain points and implementing AI-driven automation to drive efficiency and innovation. This is a fully remote position. Key Responsibilities 1. AI Product Development & Execution Design, develop, and deploy AI-native applications integrating LLMs and automation. Build and maintain full-stack applications that leverage AI models for decision-making and workflow optimization. Develop and scale agentic AI workflows that automate complex business processes. Continuously refine AI-driven products to improve efficiency, usability, and impact. 2. Strategic Leadership & Cross-Functional Collaboration Partner with teams across the company to identify business challenges and design AI-driven solutions. Bridge technical execution and strategic decision-making to ensure AI initiatives align with company objectives. Develop data-driven strategies to measure and optimize the effectiveness of AI implementations. 3. AI Research & Scalability Stay engaged with the latest AI advancements, including LLMs, multi-agent systems, and emerging frameworks. Architect and deploy scalable AI infrastructure, ensuring efficiency in high-growth environments. Optimize AI models for performance, accuracy, and real-world application. 4. Industry Engagement & Thought Leadership Apply insights from thought leaders like Paul Graham, A16Z, and Sequoia Capital to inform technical and strategic initiatives. Serve as an advisor to leadership on trends in AI, automation, and product scalability. Contribute to the company’s AI thought leadership through research, whitepapers, or technical discussions. 5. Team Enablement & AI Integration Guide and mentor engineering teams on AI adoption, architecture, and optimization. Promote a culture of AI-driven experimentation and continuous learning. Train internal teams on leveraging AI-assisted coding tools such as GitHub Copilot, Claude, and Replit. Who You Are You have a strong track record of building and deploying AI-powered applications end-to-end. You have worked in high-growth startup environments and understand how to ship AI products at speed. You are a strategic thinker who can apply AI to solve real business challenges. You thrive in cross-functional collaboration, translating technical concepts for product, design, and business teams. You stay ahead of the curve in AI research and actively experiment with new tools and methodologies. Qualifications a. Technical Expertise 5+ years of experience in full-stack engineering or AI-focused software development. Strong proficiency in Python, JavaScript, React, or equivalent languages. Expertise in LLMs, AI models, and tools such as OpenAI, Hugging Face, LangChain, and vector databases. Experience integrating AI models into production environments, including APIs, fine-tuning, and retrieval-augmented generation (RAG). Proven ability to scale AI-powered products while optimizing for performance and usability. Familiarity with AI-assisted coding tools such as GitHub Copilot, Claude, and Replit. b. Startup & Industry KnowledgeExperience successfully building and scaling AI-powered products in early-stage startups. Strong understanding of startup challenges, trends, and growth strategies. Deep familiarity with thought leaders in AI and startups (e.g., A16Z, Paul Graham,Sequoia). c. Soft Skills Strong communication and collaboration abilities. Excellent organizational and project management skills. A growth mindset with a passion for AI-driven innovation. What We Offer The opportunity to build and scale AI-powered products in a fast-moving startup environment. A chance to shape the future of AI-driven automation and digital workforces. A collaborative, high-velocity culture that values experimentation and impact. Fully remote work with flexible arrangements. How to Apply Please submit your resume, portfolio, and a brief cover letter detailing: Your experience with AI, LLMs, and automation workflows. Examples of AI products you’ve built and scaled end-to-end. Your insights into the startup ecosystem and how they inform your approach to AI-driven product development. If you are passionate about building AI-native products and driving innovation in a high-growth startup, we’d love to hear from you! Show more Show less

Transform Financial Communication Through Innovation | Remoat Teams Join our innovative team where artificial intelligence meets human precision in financial services transcription. At Remoat Teams, we're revolutionizing how financial institutions handle their critical communications through advanced AI-powered transcription solutions enhanced by expert human oversight. Our AI Transcript Quality Editors ensure impeccable accuracy in financial documentation while working with cutting-edge AI technology. This role combines technical expertise with deep attention to financial terminology and regulatory compliance. Compensation & Schedule: We offer a comprehensive package designed to recognize your expertise: Monthly compensation: PHP 25,000 (USD 442 / INR 37,000) Flexible part-time positions available with AM/PM scheduling options Performance-based incentives and career advancement opportunities Core Responsibilities: Your role is central to maintaining our reputation for excellence in financial transcription services. You will focus on perfecting AI-generated transcripts from various financial contexts, including earnings calls, investment presentations, and regulatory meetings. This involves: Refining AI-generated financial transcripts to ensure 99% accuracy Applying expert knowledge of financial terminology and industry standards Managing complex multi-speaker content from financial sector meetings Implementing comprehensive style guides while maintaining regulatory compliance Contributing to the continuous improvement of our AI transcription systems Ensuring consistent formatting and documentation standards Essential Requirements: Technical Infrastructure: High-speed internet connection (50 Mbps download/10 Mbps upload minimum) Professional-grade noise-canceling headphones Private, quiet workspace for handling confidential content Professional Qualifications: Superior English language proficiency with focus on financial terminology Strong understanding of financial markets and industry terminology Technical aptitude and ability to work with AI-powered platforms Meticulous attention to detail, particularly with numerical data Ability to maintain strict confidentiality with sensitive financial information Strong time management skills and commitment to deadlines Professional Development: We invest in your growth and expertise: Comprehensive training in financial sector terminology and compliance Structured advancement path to senior quality assurance positions Regular performance evaluations and skill enhancement opportunities Exposure to emerging AI technologies in financial services Selection Process: Our streamlined hiring approach focuses on your capabilities: Two-phase evaluation of financial style guide proficiency Hands-on practice with actual financial content Paid trial period to ensure mutual fit No traditional interviews required Whether you're an experienced editor looking to specialize in financial services or a finance professional with strong language skills, we offer an environment where precision and innovation converge. Join our global team and help set new standards in financial content quality. Ready to advance your career at the intersection of AI technology and financial services? Apply now through our portal and begin your journey in professional financial content refinement. The success of our financial transcription services depends on our team's expertise in combining AI efficiency with human insight. Join us in setting new standards for accuracy and reliability in financial documentation. Show more Show less

If you haven’t built and scaled a 0-1 product to at least 7-figure (USD) ARR and/or been part of a YC (or equivalent startup) founding engineer team we kindly ask that you don't apply for this role. Our client is looking for a hands-on engineer who dreams about LLM solutions, keeps up with the latest AI research for fun, and has previously led technical early-stage startups in a YC batch (or an equivalent high-growth environment). About Us Our company is an innovative startup revolutionizing how businesses operate through AI and automation. With a focus on efficiency and scalability, we are building the future of intelligent workflows. To drive this mission, we are seeking a highly skilled Technical Chief of Staf f. This role is for someone deeply embedded in the startup and AI ecosystem, passionate about building AI-powered products from the ground up and integrating them into real-world applications . Role Overview As the Technical Chief of Staff, you will report directly to the CEO and play a critical role in shaping the company’s technical direction. You will build AI-powered applications end-to-end, ensuring seamless integration with existing business processes. This role requires a blend of hands-on engineering, AI research, and strategic thinking to develop scalable solutions that align with company goals. You will collaborate across departments, identifying pain points and implementing AI-driven automation to drive efficiency and innovation. This is a fully remote position. Key Responsibilities 1. AI Product Development & Execution Design, develop, and deploy AI-native applications integrating LLMs and automation. Build and maintain full-stack applications that leverage AI models for decision-making and workflow optimization. Develop and scale agentic AI workflows that automate complex business processes. Continuously refine AI-driven products to improve efficiency, usability, and impact. 2. Strategic Leadership & Cross-Functional Collaboration Partner with teams across the company to identify business challenges and design AI-driven solutions. Bridge technical execution and strategic decision-making to ensure AI initiatives align with company objectives. Develop data-driven strategies to measure and optimize the effectiveness of AI implementations. 3. AI Research & Scalability Stay engaged with the latest AI advancements, including LLMs, multi-agent systems, and emerging frameworks. Architect and deploy scalable AI infrastructure, ensuring efficiency in high-growth environments. Optimize AI models for performance, accuracy, and real-world application. 4. Industry Engagement & Thought Leadership Apply insights from thought leaders like Paul Graham, A16Z, and Sequoia Capital to inform technical and strategic initiatives. Serve as an advisor to leadership on trends in AI, automation, and product scalability. Contribute to the company’s AI thought leadership through research, whitepapers, or technical discussions. 5. Team Enablement & AI Integration Guide and mentor engineering teams on AI adoption, architecture, and optimization. Promote a culture of AI-driven experimentation and continuous learning. Train internal teams on leveraging AI-assisted coding tools such as GitHub Copilot, Claude, and Replit. Who You Are You have a strong track record of building and deploying AI-powered applications end-to-end. You have worked in high-growth startup environments and understand how to ship AI products at speed. You are a strategic thinker who can apply AI to solve real business challenges. You thrive in cross-functional collaboration, translating technical concepts for product, design, and business teams. You stay ahead of the curve in AI research and actively experiment with new tools and methodologies. Qualifications a. Technical Expertise 5+ years of experience in full-stack engineering or AI-focused software development. Strong proficiency in Python, JavaScript, React, or equivalent languages. Expertise in LLMs, AI models, and tools such as OpenAI, Hugging Face, LangChain, and vector databases. Experience integrating AI models into production environments, including APIs, fine-tuning, and retrieval-augmented generation (RAG). Proven ability to scale AI-powered products while optimizing for performance and usability. Familiarity with AI-assisted coding tools such as GitHub Copilot, Claude, and Replit. b. Startup & Industry KnowledgeExperience successfully building and scaling AI-powered products in early-stage startups. Strong understanding of startup challenges, trends, and growth strategies. Deep familiarity with thought leaders in AI and startups (e.g., A16Z, Paul Graham,Sequoia). c. Soft Skills Strong communication and collaboration abilities. Excellent organizational and project management skills. A growth mindset with a passion for AI-driven innovation. What We Offer The opportunity to build and scale AI-powered products in a fast-moving startup environment. A chance to shape the future of AI-driven automation and digital workforces. A collaborative, high-velocity culture that values experimentation and impact. Fully remote work with flexible arrangements. How to Apply Please submit your resume, portfolio, and a brief cover letter detailing: Your experience with AI, LLMs, and automation workflows. Examples of AI products you’ve built and scaled end-to-end. Your insights into the startup ecosystem and how they inform your approach to AI-driven product development. If you are passionate about building AI-native products and driving innovation in a high-growth startup, we’d love to hear from you!

Transform Financial Communication Through Innovation | Remoat Teams Join our innovative team where artificial intelligence meets human precision in financial services transcription. At Remoat Teams, we're revolutionizing how financial institutions handle their critical communications through advanced AI-powered transcription solutions enhanced by expert human oversight. Our AI Transcript Quality Editors ensure impeccable accuracy in financial documentation while working with cutting-edge AI technology. This role combines technical expertise with deep attention to financial terminology and regulatory compliance. Compensation & Schedule: We offer a comprehensive package designed to recognize your expertise: Monthly compensation: PHP 25,000 (USD 442 / INR 37,000) Flexible part-time positions available with AM/PM scheduling options Performance-based incentives and career advancement opportunities Core Responsibilities: Your role is central to maintaining our reputation for excellence in financial transcription services. You will focus on perfecting AI-generated transcripts from various financial contexts, including earnings calls, investment presentations, and regulatory meetings. This involves: Refining AI-generated financial transcripts to ensure 99% accuracy Applying expert knowledge of financial terminology and industry standards Managing complex multi-speaker content from financial sector meetings Implementing comprehensive style guides while maintaining regulatory compliance Contributing to the continuous improvement of our AI transcription systems Ensuring consistent formatting and documentation standards Essential Requirements: Technical Infrastructure: High-speed internet connection (50 Mbps download/10 Mbps upload minimum) Professional-grade noise-canceling headphones Private, quiet workspace for handling confidential content Professional Qualifications: Superior English language proficiency with focus on financial terminology Strong understanding of financial markets and industry terminology Technical aptitude and ability to work with AI-powered platforms Meticulous attention to detail, particularly with numerical data Ability to maintain strict confidentiality with sensitive financial information Strong time management skills and commitment to deadlines Professional Development: We invest in your growth and expertise: Comprehensive training in financial sector terminology and compliance Structured advancement path to senior quality assurance positions Regular performance evaluations and skill enhancement opportunities Exposure to emerging AI technologies in financial services Selection Process: Our streamlined hiring approach focuses on your capabilities: Two-phase evaluation of financial style guide proficiency Hands-on practice with actual financial content Paid trial period to ensure mutual fit No traditional interviews required Whether you're an experienced editor looking to specialize in financial services or a finance professional with strong language skills, we offer an environment where precision and innovation converge. Join our global team and help set new standards in financial content quality. Ready to advance your career at the intersection of AI technology and financial services? Apply now through our portal and begin your journey in professional financial content refinement. The success of our financial transcription services depends on our team's expertise in combining AI efficiency with human insight. Join us in setting new standards for accuracy and reliability in financial documentation.

LOCATION: Remote — India Preferred (global applicants welcome) If you haven’t built and scaled an AI-powered product from 0-1 to meaningful ARR, iterated LLM prototypes into production software, and shipped products end-to-end that have at least 500 k+ concurrent users, this role isn’t for you. We’re looking for a senior builder who writes production code every day, lives inside Cursor and Windsurf, and thrives in ultra-fast startup loops. Our AI company has been around for 5+ years and is scaling aggressively in the financial data and primary market research spaces. About The Company Our client is an AI tech startup (5+ years old) specializing in financial datasets. The company utilises human in the loop workflows with proprietary software that ingests large audio and text datasets—earnings-call recordings, research transcripts, market data feeds—and produces structured outputs used in market-intelligence workflows. They are rapidly scaling into the financial services sector, which represents a significant growth opportunity, and are seeking a technical leader to spearhead this initiative. Role Overview As a Senior Principal Full Stack Engineer , you will report directly to the CEO or the Head of Engineering and play a pivotal role in driving our expansion into the financial services market. You will lead the development and scaling of our AI solutions specifically tailored for financial institutions while providing strategic technical leadership across the organization. You will move from prototype to production on a weekly cadence, measure performance, and keep the codebase deployable at all times. This hands-on role requires you to architect and implement advanced LLM and RAG systems while deeply understanding the unique requirements of financial services clients. You'll bridge technical execution with strategic vision, developing solutions that address specific challenges in financial document processing, compliance, and due diligence workflows. The position is 80% hands-on development and requires high proficiency with Cursor, Windsurf or an equivalent IDE. Key Responsibilities 1. AI Product Development for Financial Services • Architect and develop specialized AI solutions for financial document transcription, analysis, and processing • Design and implement custom RAG systems optimized for financial terminology and document structures • Build secure, compliant, and auditable AI pipelines that meet financial industry standards • Lead the development of our financial services product roadmap from concept to significant revenue 2. Strategic Technical Leadership • Partner with the CEO and leadership team on technical strategy and execution • Identify innovative applications of AI technology in financial due diligence, reporting, and analysis • Translate strategic objectives into technical requirements and implementation plans • Drive cross-functional alignment on technical priorities and resource allocation 3. Hands-On Implementation & Engineering Excellence • Write production-level code in Python and other relevant languages for our financial services solutions • Implement scalable AI architectures, retrieval systems, and real-time processing workflows • Design cloud-native infrastructure that meets the security and compliance requirements of financial institutions • Guide engineering teams on best practices for financial AI application development 4. Financial Services Domain Expertise • Apply deep understanding of financial services workflows to inform technical solutions • Ensure our AI systems meet regulatory requirements for financial data processing • Architect solutions that integrate seamlessly with existing financial technology stacks • Develop features that address specific pain points in financial document management and due diligence 5. Team Enablement & Organizational Impact • Serve as a technical advisor to the CEO on AI strategy and financial services opportunities • Mentor engineering teams on AI implementation and financial domain knowledge • Foster a culture of engineering excellence and continuous innovation • Represent the company's technical capabilities with key financial services clients and partners Who You Are You have founded or been an early engineer at a startup that scaled from 0-1 to significant ARR You have deep experience implementing LLM and RAG solutions in production environments You understand the financial services landscape and have built technical solutions for this sector You are a hands-on technical leader who codes regularly while providing strategic direction You thrive in a fast-moving, high-impact environment and are comfortable with ambiguity Qualifications 1. Technical Expertise • 10+ years full stack software engineering; 2+ years deploying LLM-based systems. • Proven track record implementing production-grade LLM and RAG solutions • Daily user of Cursor and Windsurf; comfortable scripting custom extensions. • Very competent understanding of MCP and experiencing build integrations with major LLMs • Strong coding abilities in Python (Sanic); React (MUI) and other relevant frameworks • Experience with secure cloud infrastructure (AWS, GCP, Azure) for financial applications • Knowledge of vector databases (FAISS, Pinecone, Weaviate) and optimization techniques 2. Financial Services Experience • Direct experience building technology solutions for financial institutions • Understanding of financial due diligence processes and documentation requirements • Knowledge of compliance and security considerations in financial technology • Experience with financial document processing, extraction, and analysis 3. Startup & Leadership Experience • Proven success scaling a product from concept to significant revenue • Experience in high-pace organisations (YC or equivalent) is preferred. • Comfortable working asynchronously across time zones. • Strong bias toward clear documentation and direct feedback. • Experience leading technical teams in fast-paced environments • Strategic thinking balanced with hands-on execution capabilities • Track record of shipping products that deliver measurable business value What We Offer A strategic leadership role shaping the future of AI applications in financial services A rapidly growing startup with significant expansion plans Direct collaboration with the CEO on company vision and technical strategy Competitive compensation Flexible, remote-friendly work environment How to Apply Please submit your resume and a cover letter that specifically addresses: Your experience scaling AI products from 0-1 to significant revenue Your hands-on implementation of LLM/RAG solutions in production (Add a short note describing one LLM prototype you moved to production and the measurable result. Applications are reviewed weekly.) Your background in financial services and understanding of the due diligence ecosystem If you are passionate about building AI-native products for financial services and driving innovation in a high-growth startup, we'd love to hear from you!

If you haven't built and maintained AI/LLM systems in production, developed full-stack applications with complex backend architectures, or debugged distributed systems under pressure, we kindly ask that you don't apply. We need a hands-on developer with strong support engineering experience who codes daily while ensuring system reliability. About Us We're an AI-first startup revolutionizing speech-to-text technology through cutting-edge LLM integration and machine learning pipelines. Our platform combines advanced AI models with real-time processing capabilities, serving enterprise clients who demand both accuracy and reliability. As we scale our AI infrastructure globally, we need a technical leader who can both build and support our systems. Role Overview We're seeking a Senior Support Engineer who is primarily a hands-on full-stack developer with deep AI/LLM infrastructure experience and production support expertise. This isn't a traditional support role - you'll spend 70% of your time coding and building systems, 30% on support and reliability engineering. You'll architect and implement AI/LLM integrations, develop full-stack applications, optimize backend performance, and maintain production systems. This role requires someone who can write production code, debug complex distributed systems, and take ownership of both development and operational excellence. Key Responsibilities 1. AI/LLM Infrastructure Development - Design and implement LLM integration pipelines (OpenAI, Anthropic, local models) - Build AI model inference systems with real-time processing capabilities - Develop prompt engineering frameworks and model optimization systems - Create AI/ML monitoring and evaluation frameworks - Implement vector databases and semantic search capabilities - Build automated model training and deployment pipelines 2. Full Stack Development - Backend Focus - Develop scalable backend APIs using Python/Node.js/Go - Design and optimize database architectures (PostgreSQL, MongoDB, Redis) - Build microservices architectures with proper service communication - Implement authentication, authorization, and security frameworks - Create data processing pipelines for audio/text transcription workflows - Develop real-time WebSocket and event-driven systems 3. Production Support & System Reliability - Monitor and maintain production AI/LLM systems with 99.9% uptime - Respond to critical incidents and perform root cause analysis - Debug complex distributed system issues across the full stack - Implement comprehensive monitoring, alerting, and observability systems - Maintain CI/CD pipelines and automated deployment processes - Create technical documentation and incident response procedures Technical Requirements 1. AI/LLM Infrastructure Experience - 3+ years hands-on experience with LLM APIs (OpenAI, Anthropic, Hugging Face) - Production experience with AI model deployment and inference systems - Knowledge of vector databases (Pinecone, Weaviate, Chroma) and embeddings - Experience with ML frameworks (PyTorch, TensorFlow, Transformers) - Understanding of prompt engineering, RAG systems, and AI evaluation metrics 2. Backend Development Expertise - 5+ years full-stack development with strong backend focus - Expert-level Python, Node.js, or Go for backend services - Advanced database optimization (PostgreSQL, MongoDB, Redis) - Microservices architecture and API design patterns - Experience with message queues (RabbitMQ, Apache Kafka) - Cloud infrastructure expertise (AWS, GCP, Azure) 3. Production Support Experience - 3+ years maintaining production systems under high load - Incident response and on-call rotation experience - Proficiency with monitoring tools (Datadog, New Relic, Grafana) - Experience with containerization (Docker, Kubernetes) - Knowledge of CI/CD pipelines and Infrastructure as Code 4. Full Stack Capabilities - Frontend development with React, Vue.js, or Angular - Understanding of modern web technologies and performance optimization - Experience with real-time applications and WebSocket implementation - Mobile development experience (React Native, Flutter) preferred Preferred Qualifications - Experience with speech-to-text, NLP, or audio processing systems - Background in fintech, healthcare, or regulated industries - Contributions to open-source AI/ML projects - Experience with startup environments and rapid scaling - DevOps and infrastructure automation experience What You'll Build - AI-powered transcription services with multi-model inference - Real-time audio processing pipelines with LLM integration - Scalable backend APIs serving millions of requests - Monitoring dashboards for AI model performance and system health - Automated deployment systems for AI/ML models - Full-stack applications for enterprise clients Technical Environment - AI/ML Stack: OpenAI GPT-4, Anthropic Claude, Hugging Face models, PyTorch - Backend: Python/FastAPI, Node.js, PostgreSQL, Redis, Docker, Kubernetes - Cloud: AWS (Lambda, ECS, RDS, S3), infrastructure automation with Terraform - Monitoring: Datadog, Grafana, ELK stack, custom AI model monitoring - Frontend: React, TypeScript, modern web frameworks Working Arrangements - 100% remote, full-time position with rotating shift schedule for global engineering support coverage - Engineering support coverage across multiple time zones (building toward 24/7 coverage as the team grows) - Collaborative environment with structured handoffs between regional support teams - Reasonable on-call responsibilities with fair rotation - Modern collaboration tools, comprehensive documentation systems, and remote-first culture What We Offer - Competitive compensation package - Opportunity to work with cutting-edge AI technology and solve complex technical challenges at scale - Supportive team culture despite global support requirements - Clear career growth path toward senior technical leadership, specialized expertise, and architectural roles How to Apply Submit your resume with a cover letter addressing: - Your hands-on experience building AI/LLM systems in production - Specific examples of full-stack applications you've developed - Your approach to maintaining production systems under pressure - Experience with both development and support engineering responsibilities - Examples of complex backend optimization or distributed system debugging Include GitHub profile or portfolio demonstrating: - AI/ML projects with real-world applications - Full-stack development capabilities - Production system monitoring and reliability engineering We're looking for a technical leader who can build our AI infrastructure while ensuring operational excellence. If you're passionate about both creating and maintaining cutting-edge AI systems, we'd love to hear from you.

If you haven't consistently produced viral B2B Youtube content and aren't obsessed with studying the editing styles of top business creators like Alex Hormozi, Dan Martell, and Gary Vee, we kindly ask that you don't apply for this role. Our client is looking for a video editing maverick who lives and breathes social media trends, has mastered AI-enhanced editing workflows, and can transform complex business concepts into binge-worthy content. About Us Our client is a forward-thinking startup revolutionizing B2B content creation through innovative storytelling and AI-enhanced video production. With a focus on creating high-impact business content that actually converts, we're building the future of B2B social media presence. To drive this mission, we're seeking a Senior Video Editor who can blend creative excellence with technical innovation. Role Overview As our Senior Video Editor , you'll be the creative force behind our client's video content strategy, working directly with the Content Director to produce compelling business content that stands out in the saturated social media landscape. You'll lead the transformation of long-form content into viral short-form videos, leverage AI tools to enhance production efficiency, and set new standards for B2B content creation. This role requires someone who understands both the art and science of viral content, combining traditional editing skills with cutting-edge AI tools and animation techniques. Key Responsibilities 1. Content Creation & Video Production - Lead the production of high-quality, viral-optimized video content for YouTube and other platforms - Transform long-form content into engaging shorts and clips that maintain message integrity - Implement advanced editing techniques inspired by top business content creators - Drive innovation in visual storytelling for B2B content 2. Technical Excellence & AI Integration - Leverage AI tools to enhance editing workflow and production efficiency - Develop and optimize templates for consistent, high-quality output - Create custom motion graphics and animations that elevate content quality - Implement advanced color grading and sound design techniques 3. Creative Direction & Style Development - Establish and maintain a distinctive visual style for the brand - Create compelling thumbnails and video assets that drive click-through - Design eye-catching motion graphics and animations - Develop innovative ways to present business concepts visually 4. Performance Optimization - Analyze video performance metrics and adjust strategies accordingly - Stay current with platform algorithm changes and optimization techniques - Test and implement new editing styles and formats - Contribute to content strategy based on performance data 5. Team Collaboration & Leadership - Mentor junior editors on advanced editing techniques and AI tools - Collaborate with content strategists to enhance video effectiveness - Provide creative input on content planning and execution - Share knowledge and best practices with the broader team Who You Are - You're obsessed with creating viral content and understand what makes videos perform - You have a deep understanding of B2B content creation and audience engagement - You're constantly exploring new AI tools and editing technologies - You have a strong eye for design and animation - You're passionate about pushing creative boundaries in business content Qualifications a. Technical Skills - 5+ years of professional video editing experience - Expert proficiency in Premiere Pro, After Effects, and related Adobe Creative Suite - Strong understanding of AI editing tools and automation - Advanced motion graphics and animation capabilities - Demonstrated experience with short-form content creation b. Creative Excellence - Proven track record of creating viral business content - Strong portfolio showing B2B content expertise - Deep understanding of platform-specific content requirements - Excellence in thumbnail design and video optimization - Strong background in graphic design and animation c. Additional Requirements - Experience with AI tools for video editing and content creation - Understanding of B2B content marketing principles - Strong project management and time management skills - Ability to work independently and as part of a team What We Offer - Opportunity to shape the future of B2B content creation - Access to cutting-edge AI tools and technologies - Creative freedom to innovate and experiment - Fully remote work environment - Competitive compensation package - Professional development opportunities How to Apply Please submit your application including: 1. Your portfolio featuring your best viral B2B content 2. Examples of short-form videos you've created from long-form content 3. A brief video (2 minutes max) explaining your editing process and how you use AI tools If you live and breathe video editing, understand the science of viral content, and are ready to help build a MASSIVE B2B YouTube presence, we want to hear from you!

About the Role We are seeking distinguished Senior Finance Consultants to join our exclusive network of industry experts. This prestigious consulting opportunity is designed for seasoned finance professionals who want to leverage their deep expertise while maintaining maximum flexibility and autonomy. You'll provide strategic insights and specialized knowledge to high-profile clients across various finance sectors, working on impactful projects that shape investment decisions and market strategies. Key Responsibilities Provide strategic advisory services on complex financial matters across multiple industry verticals Design and optimize due diligence frameworks and research workflows for client initiatives Provide executive-level guidance on product development and strategic initiatives Deliver specialized insights on financial products and services development for the finance industry Provide strategic insights on investment opportunities, market trends, and risk assessment Participate in expert network calls and consulting sessions with institutional clients Required Qualifications Minimum 5+ years of senior-level experience in finance or related fields Advanced degree (MBA, CFA, or equivalent professional certification is a plus) Proven track record in at least one core finance vertical (PE, VC, Hedge Funds, Investment Banking, etc.) Strong analytical and communication skills with ability to present complex concepts clearly Experience with financial modeling, valuation techniques, and risk assessment Demonstrated expertise in financial data analysis and interpretation Professional references from senior-level positions Preferred Experience Expert Network Experience: Active participation in top-tier platforms (GLG, Guidepoint, Third Bridge, AlphaSights, Tegus) Financial Data Providers: Proficiency with Bloomberg Terminal, Refinitiv, FactSet, S&P Capital IQ Quantitative Trading: Experience utilizing earnings calls data for trading strategies Investment Analysis: Specialization in earnings call transcript analysis and market research Buy-Side Operations: Portfolio management, research, and investment decision support Alternative Investments: Private equity, venture capital, and hedge fund experience Advisory Services: Previous consulting or expert witness experience Contract Terms Remote Work: 100% flexible location independence Competitive Compensation: Hourly rates commensurate with experience and specialization Hours-Based: Flexible consulting hours based on your availability and expertise needs Strategic Advisory: Focus on high-level guidance and framework development Professional Development: Access to exclusive industry networks and learning opportunities How to Apply Please submit your resume and a cover letter that specifically addresses: Your 5+ years of senior finance experience, including specific roles and key achievements Your core expertise area (Private Equity, VC, Hedge Funds, Investment Banking, etc.) with concrete examples Your strategic advisory/consulting experience with outcomes achieved Your experience developing financial products, frameworks, or guiding strategic initiatives Your availability for consulting work and motivation for advisory roles If you are passionate about strategic finance consulting and driving innovation in financial services, we'd love to hear from you!

Transform Financial Communication Through Innovation | Remoat Teams Join our innovative team where artificial intelligence meets human precision in financial services transcription. At Remoat Teams, we're revolutionizing how financial institutions handle their critical communications through advanced AI-powered transcription solutions enhanced by expert human oversight. Our AI Transcript Quality Editors ensure impeccable accuracy in financial documentation while working with cutting-edge AI technology. This role combines technical expertise with deep attention to financial terminology and regulatory compliance. Compensation & Schedule: We offer a comprehensive package designed to recognize your expertise: Monthly compensation: PHP 25,000 (USD 442 / INR 37,000) Flexible part-time positions available with AM/PM scheduling options Performance-based incentives and career advancement opportunities Core Responsibilities: Your role is central to maintaining our reputation for excellence in financial transcription services. You will focus on perfecting AI-generated transcripts from various financial contexts, including earnings calls, investment presentations, and regulatory meetings. This involves: Refining AI-generated financial transcripts to ensure 99% accuracy Applying expert knowledge of financial terminology and industry standards Managing complex multi-speaker content from financial sector meetings Implementing comprehensive style guides while maintaining regulatory compliance Contributing to the continuous improvement of our AI transcription systems Ensuring consistent formatting and documentation standards Essential Requirements: Technical Infrastructure: High-speed internet connection (50 Mbps download/10 Mbps upload minimum) Professional-grade noise-canceling headphones Private, quiet workspace for handling confidential content Professional Qualifications: Superior English language proficiency with focus on financial terminology Strong understanding of financial markets and industry terminology Technical aptitude and ability to work with AI-powered platforms Meticulous attention to detail, particularly with numerical data Ability to maintain strict confidentiality with sensitive financial information Strong time management skills and commitment to deadlines Professional Development: We invest in your growth and expertise: Comprehensive training in financial sector terminology and compliance Structured advancement path to senior quality assurance positions Regular performance evaluations and skill enhancement opportunities Exposure to emerging AI technologies in financial services Selection Process: Our streamlined hiring approach focuses on your capabilities: Two-phase evaluation of financial style guide proficiency Hands-on practice with actual financial content Paid trial period to ensure mutual fit No traditional interviews required Whether you're an experienced editor looking to specialize in financial services or a finance professional with strong language skills, we offer an environment where precision and innovation converge. Join our global team and help set new standards in financial content quality. Ready to advance your career at the intersection of AI technology and financial services? Apply now through our portal and begin your journey in professional financial content refinement. The success of our financial transcription services depends on our team's expertise in combining AI efficiency with human insight. Join us in setting new standards for accuracy and reliability in financial documentation.

LOCATION: Remote — India Preferred (global applicants welcome) If you haven’t built and scaled an AI-powered product from 0-1 to meaningful ARR, iterated LLM prototypes into production software, and shipped products end-to-end that have at least 500 k+ concurrent users, this role isn’t for you. We’re looking for a senior builder who writes production code every day, lives inside Cursor and Windsurf, and thrives in ultra-fast startup loops. Our AI company has been around for 5+ years and is scaling aggressively in the financial data and primary market research spaces. About The Company Our client is an AI tech startup (5+ years old) specializing in financial datasets. The company utilises human in the loop workflows with proprietary software that ingests large audio and text datasets—earnings-call recordings, research transcripts, market data feeds—and produces structured outputs used in market-intelligence workflows. They are rapidly scaling into the financial services sector, which represents a significant growth opportunity, and are seeking a technical leader to spearhead this initiative. Role Overview As a Senior Full Stack Engineer , you will report directly to the CEO or the Head of Engineering and play a pivotal role in driving our expansion into the financial services market. You will lead the development and scaling of our AI solutions specifically tailored for financial institutions while providing strategic technical leadership across the organization. You will move from prototype to production on a weekly cadence, measure performance, and keep the codebase deployable at all times. This hands-on role requires you to architect and implement advanced LLM and RAG systems while deeply understanding the unique requirements of financial services clients. You'll bridge technical execution with strategic vision, developing solutions that address specific challenges in financial document processing, compliance, and due diligence workflows. The position is 80% hands-on development and requires high proficiency with Cursor, Windsurf or an equivalent IDE. Key Responsibilities 1. AI Product Development for Financial Services • Architect and develop specialized AI solutions for financial document transcription, analysis, and processing • Design and implement custom RAG systems optimized for financial terminology and document structures • Build secure, compliant, and auditable AI pipelines that meet financial industry standards • Lead the development of our financial services product roadmap from concept to significant revenue 2. Strategic Technical Leadership • Partner with the CEO and leadership team on technical strategy and execution • Identify innovative applications of AI technology in financial due diligence, reporting, and analysis • Translate strategic objectives into technical requirements and implementation plans • Drive cross-functional alignment on technical priorities and resource allocation 3. Hands-On Implementation & Engineering Excellence • Write production-level code in Python and other relevant languages for our financial services solutions • Implement scalable AI architectures, retrieval systems, and real-time processing workflows • Design cloud-native infrastructure that meets the security and compliance requirements of financial institutions • Guide engineering teams on best practices for financial AI application development 4. Financial Services Domain Expertise • Apply deep understanding of financial services workflows to inform technical solutions • Ensure our AI systems meet regulatory requirements for financial data processing • Architect solutions that integrate seamlessly with existing financial technology stacks • Develop features that address specific pain points in financial document management and due diligence 5. Team Enablement & Organizational Impact • Serve as a technical advisor to the CEO on AI strategy and financial services opportunities • Mentor engineering teams on AI implementation and financial domain knowledge • Foster a culture of engineering excellence and continuous innovation • Represent the company's technical capabilities with key financial services clients and partners Who You Are You have founded or been an early engineer at a startup that scaled from 0-1 to significant ARR You have deep experience implementing LLM and RAG solutions in production environments You understand the financial services landscape and have built technical solutions for this sector You are a hands-on technical leader who codes regularly while providing strategic direction You thrive in a fast-moving, high-impact environment and are comfortable with ambiguity Qualifications 1. Technical Expertise • 10+ years full stack software engineering; 2+ years deploying LLM-based systems. • Proven track record implementing production-grade LLM and RAG solutions • Daily user of Cursor and Windsurf; comfortable scripting custom extensions. • Very competent understanding of MCP and experiencing build integrations with major LLMs • Strong coding abilities in Python (Sanic); React (MUI) and other relevant frameworks • Experience with secure cloud infrastructure (AWS, GCP, Azure) for financial applications • Knowledge of vector databases (FAISS, Pinecone, Weaviate) and optimization techniques 2. Financial Services Experience • Direct experience building technology solutions for financial institutions • Understanding of financial due diligence processes and documentation requirements • Knowledge of compliance and security considerations in financial technology • Experience with financial document processing, extraction, and analysis 3. Startup & Leadership Experience • Proven success scaling a product from concept to significant revenue • Experience in high-pace organisations (YC or equivalent) is preferred. • Comfortable working asynchronously across time zones. • Strong bias toward clear documentation and direct feedback. • Experience leading technical teams in fast-paced environments • Strategic thinking balanced with hands-on execution capabilities • Track record of shipping products that deliver measurable business value What We Offer A strategic leadership role shaping the future of AI applications in financial services A rapidly growing startup with significant expansion plans Direct collaboration with the CEO on company vision and technical strategy Competitive compensation Flexible, remote-friendly work environment How to Apply Please submit your resume and a cover letter that specifically addresses: Your experience scaling AI products from 0-1 to significant revenue Your hands-on implementation of LLM/RAG solutions in production (Add a short note describing one LLM prototype you moved to production and the measurable result. Applications are reviewed weekly.) Your background in financial services and understanding of the due diligence ecosystem If you are passionate about building AI-native products for financial services and driving innovation in a high-growth startup, we'd love to hear from you!

Transform Financial Communication Through Innovation | Remoat Teams Join our innovative team where artificial intelligence meets human precision in financial services transcription. At Remoat Teams, we&aposre revolutionizing how financial institutions handle their critical communications through advanced AI-powered transcription solutions enhanced by expert human oversight. Our AI Transcript Quality Editors ensure impeccable accuracy in financial documentation while working with cutting-edge AI technology. This role combines technical expertise with deep attention to financial terminology and regulatory compliance. Compensation & Schedule: We offer a comprehensive package designed to recognize your expertise: Monthly compensation: PHP 25,000 (USD 442 / INR 37,000) Flexible part-time positions available with AM/PM scheduling options Performance-based incentives and career advancement opportunities Core Responsibilities: Your role is central to maintaining our reputation for excellence in financial transcription services. You will focus on perfecting AI-generated transcripts from various financial contexts, including earnings calls, investment presentations, and regulatory meetings. This involves: Refining AI-generated financial transcripts to ensure 99% accuracy Applying expert knowledge of financial terminology and industry standards Managing complex multi-speaker content from financial sector meetings Implementing comprehensive style guides while maintaining regulatory compliance Contributing to the continuous improvement of our AI transcription systems Ensuring consistent formatting and documentation standards Essential Requirements: Technical Infrastructure: High-speed internet connection (50 Mbps download/10 Mbps upload minimum) Professional-grade noise-canceling headphones Private, quiet workspace for handling confidential content Professional Qualifications: Superior English language proficiency with focus on financial terminology Strong understanding of financial markets and industry terminology Technical aptitude and ability to work with AI-powered platforms Meticulous attention to detail, particularly with numerical data Ability to maintain strict confidentiality with sensitive financial information Strong time management skills and commitment to deadlines Professional Development: We invest in your growth and expertise: Comprehensive training in financial sector terminology and compliance Structured advancement path to senior quality assurance positions Regular performance evaluations and skill enhancement opportunities Exposure to emerging AI technologies in financial services Selection Process: Our streamlined hiring approach focuses on your capabilities: Two-phase evaluation of financial style guide proficiency Hands-on practice with actual financial content Paid trial period to ensure mutual fit No traditional interviews required Whether you&aposre an experienced editor looking to specialize in financial services or a finance professional with strong language skills, we offer an environment where precision and innovation converge. Join our global team and help set new standards in financial content quality. Ready to advance your career at the intersection of AI technology and financial services Apply now through our portal and begin your journey in professional financial content refinement. The success of our financial transcription services depends on our team&aposs expertise in combining AI efficiency with human insight. Join us in setting new standards for accuracy and reliability in financial documentation. Show more Show less

About the Role We're seeking experienced finance professionals with deep expertise in Expert Networks, Fintech, Quant Funds, and Investor Relations to provide strategic advisory services. This opportunity focuses on leveraging your specialized knowledge to guide innovative financial technology solutions through flexible, hours-based consulting that accommodates your schedule. Key Responsibilities Expert Network Operations: Platform optimization, expert recruitment, and client engagement strategies Fintech Product Development: Design frameworks and go-to-market strategies for B2B/B2C solutions Quantitative Investment Strategies: Develop risk management frameworks and algorithmic trading solutions Investor Relations Optimization: Strategic communication frameworks for financial institutions Industry Leadership: Lead expert network calls and consulting sessions with institutional clients Market Intelligence: Provide strategic insights on fintech trends, quant developments, and IR best practices Required Qualifications 5+ years finance experience in Expert Networks, Fintech, Quant Funds, or Investor Relations Advanced degree (MBA, CFA, CQF, or equivalent certification preferred) Proven track record at top-tier platforms or financial institutions Technical expertise in expert network methodologies, fintech product development, or quantitative modeling AI/LLM Knowledge: Familiarity with Large Language Models and finance applications Communication skills: Ability to present complex concepts clearly to senior stakeholders Preferred Experience Expert Networks: Deep operational knowledge of GLG, Guidepoint, Third Bridge, AlphaSights, Tegus Expert recruitment, client management, platform optimization Financial Data Platforms: Bloomberg Terminal, Refinitiv, FactSet, S&P Capital IQ proficiency Fintech: Product development, UX optimization, B2B/B2C market positioning Quantitative Finance: Systematic trading strategies, risk modeling, portfolio optimization Alternative data analysis, quantitative research methodologies Investor Relations: Strategic communication, earnings preparation, stakeholder management Contract Terms 100% Remote - Location independent Flexible Hours - Based on your availability Competitive Compensation - Hourly rates matching your expertise Strategic Focus - High-level guidance and framework development Professional Development - Access to exclusive industry networks How to Apply Submit your resume and cover letter addressing: Your 5+ years finance experience in Expert Networks, Fintech, Quant Funds, or IR Specific platform/company experience with concrete examples and outcomes Strategic advisory background with measurable results Availability and motivation for consulting work Passionate about Expert Networks, Fintech innovation, Quantitative Finance, and Investor Relations excellence? We'd love to hear from you!

About the Role We're seeking seasoned expert network professionals to provide strategic consulting for our expanding financial transcription platform. As we grow beyond earnings calls into specialized financial verticals, we need your deep operational knowledge to enhance our proprietary transcription and AI systems. Our Focus: We specialize in financial transcription and editing, particularly earnings calls. Now we're integrating expert network processes, terminology, and workflows into our platform to serve this dynamic industry better. Your Impact: Guide our technology team in training our AI/LLM systems with authentic expert network operations, jargon, and best practices. This is internal platform development, not competitive research Key Responsibilities Operations Consulting: Share deep insights into expert network workflows, client engagement processes, and platform optimization strategies Industry Intelligence: Provide comprehensive knowledge of expert network terminology, procedures, and industry-specific language patterns Platform Development Guidance: Help our tech team understand authentic expert network operations to improve our transcription accuracy and AI training Process Documentation: Articulate complex expert network methodologies and client interaction frameworks Quality Assurance: Review and refine our platform's handling of expert network content and terminology Strategic Advisory: Lead consulting sessions with our development team on expert network best practices and industry standards Ideal Candidate Profile Required Experience 5+ years hands-on experience in expert network operations (any industry vertical) Deep operational knowledge of major platforms: GLG, Guidepoint, Third Bridge, AlphaSights, Tegus, or similar Proven expertise in expert recruitment, client management, or platform operations Strong communication skills - ability to explain complex industry processes to technical teams Preferred Background Financial Expert Networks (ideal but not mandatory) Expert Network Operations: Client services, expert recruitment, project management Platform Management: Call coordination, quality control, expert vetting processes Business Development: Expert network sales, client relationship management Research & Analytics: Expert network research methodologies and deliverables Technical Understanding Familiarity with AI/LLM applications in professional services Understanding of transcription workflows and quality standards Experience with process documentation and knowledge transfer What We're Looking For Industry Expertise: Whether your background is in financial expert networks, healthcare, technology, consulting, or any other vertical - your expert network operational knowledge is what matters most. Process Insight: We need someone who understands the nuances of expert calls, client requirements, expert matching, and the unique language patterns that define expert network interactions Platform Knowledge: Experience with how expert networks actually operate day-to-day, from initial client requests through expert delivery and follow-up. Contract Details 100% Remote - Work from anywhere Flexible Schedule - Consulting sessions based on your availability Competitive Hourly Rates - Commensurate with your expert network experience Strategic Impact - Direct influence on platform development and AI training Knowledge Sharing Focus - Consulting and guidance rather than hands-on execution How to Apply Submit your resume and a brief cover letter addressing: Your expert network experience - specific platforms, roles, and operational knowledge Industry vertical expertise - financial services experience preferred but not required Process insights - examples of expert network operations you can share with our team Availability for flexible consulting arrangements Ready to help shape the future of financial transcription technology? We're excited to learn from your expert network expertise and integrate your insights into our growin g platform.

About the Role We are seeking experienced finance professionals with deep expertise in Expert Networks, Fintech, and Investor Relations to provide strategic advisory services. This opportunity focuses on leveraging your specialized knowledge of expert network platforms, fintech ecosystems, and investor communication strategies to guide innovative financial technology solutions. We specifically value professionals who understand the inner workings of expert network operations, fintech product development, and institutional investor relations. The engagement is hours-based with flexible scheduling to accommodate your availability. Key Responsibilities Provide strategic advisory services on Expert Network operations, including platform optimization, expert recruitment, and client engagement strategies Design fintech product development frameworks and go-to-market strategies for B2B and B2C financial technology solutions Optimize investor relations strategies and communication frameworks for various financial institutions Deliver specialized insights on fintech innovation, expert network methodologies, and investor communication best practices Provide strategic insights on fintech market trends, expert network industry dynamics, and investor relations optimization Lead expert network calls and consulting sessions, leveraging deep understanding of platform operations and client needs Required Qualifications Minimum 5+ years experience in finance or related fields with specific focus on Expert Networks, Fintech, or Investor Relations Advanced degree (MBA, CFA, or equivalent professional certification is a plus) Proven track record in Expert Network platforms, Fintech companies, or Investor Relations roles within financial institutions Strong analytical and communication skills with ability to present complex concepts clearly Experience with expert network methodologies, fintech product development, or institutional investor communication strategies Demonstrated expertise in expert network operations, fintech market analysis, or investor relations management Professional background in Expert Networks (GLG, Guidepoint, Third Bridge, AlphaSights, Tegus), Fintech companies, or Investor Relations teams Advanced AI Systems Knowledge: Familiarity with Large Language Models (LLMs) and their applications in finance LLM Use Cases Expertise: Deep understanding of common AI applications in your specific finance vertical Advanced understanding of expert network client needs, fintech user experience design, or investor communication technologies Preferred Experience Expert Network Experience: Deep operational knowledge of top-tier platforms (GLG, Guidepoint, Third Bridge, AlphaSights, Tegus) including expert recruitment, client management, and platform optimization Financial Data Providers: Proficiency with Bloomberg Terminal, Refinitiv, FactSet, S&P Capital IQ Fintech Experience: Product development, user experience optimization, and market positioning in B2B/B2C financial technology Investor Relations: Strategic communication, earnings preparation, stakeholder management, and investor targeting Expert Network Operations: Platform management, expert vetting processes, client consultation methodologies Advisory Services: Previous consulting or expert network experience Contract Terms Remote Work: 100% flexible location independence Competitive Compensation: Hourly rates commensurate with experience and specialization Hours-Based: Flexible consulting hours based on your availability and expertise needs Strategic Advisory: Focus on high-level guidance and framework development Professional Development: Access to exclusive industry networks and learning opportunities How to Apply Please submit your resume and a cover letter that specifically addresses: Your 5+ years of finance experience, with emphasis on Expert Network, Fintech, or Investor Relations experience Your specific experience with Expert Network platforms, Fintech companies, or Investor Relations roles with concrete examples Your strategic advisory/consulting experience with outcomes achieved Your experience with expert network operations, fintech product development, or investor communication strategies Your availability for consulting work and motivation for advisory roles If you are passionate about Expert Networks, Fintech innovation, and Investor Relations excellence, we'd love to hear from you!

About the Role We're seeking experienced investment compliance professionals with deep expertise in material non-public information (mNPI) detection , investment advisory compliance , and information barrier frameworks to provide specialized consulting services for AI model training initiatives. This opportunity focuses on leveraging your compliance expertise to train and validate AI models that identify potential mNPI violations, market manipulation indicators, and investment advisory compliance breaches through flexible, hours-based consulting that accommodates your schedule. Key Responsibilities Expert Advisory Services: Provide specialized guidance on identifying mNPI patterns in financial communications and investment advisory compliance scenarios Compliance Knowledge Transfer: Share your expertise in recognizing subtle compliance violations, regulatory edge cases, and real-world mNPI scenarios Validation & Review: Evaluate compliance detection methodologies and provide expert feedback on regulatory interpretation accuracy Case Study Development: Create comprehensive examples of compliance violations and mNPI scenarios based on your professional experience Regulatory Insight: Advise on SEC, FINRA, and global regulatory requirements interpretation for automated compliance systems Best Practices Consultation: Guide the development of compliance detection frameworks based on industry-leading practices. Required Qualifications 7+ years investment compliance experience with specific focus on mNPI detection, information barriers, or investment advisory compliance Professional certifications (Series 7, 63, 66, CAMS, or equivalent compliance credentials preferred Proven track record at investment banks, asset managers, or regulatory bodies (SEC, FINRA, CFTC) Deep regulatory knowledge of Regulation FD, Investment Advisers Act, insider trading laws, and information barrier requirements Demonstrated ability to identify subtle compliance violations and mNPI scenarios in real-world contexts Interest in shaping the future of compliance technology through expert consultation Preferred Experience Investment Compliance: SEC examination experience, regulatory reporting, and compliance program development Information barrier implementation, personal trading monitoring, and conflict management Experience with compliance monitoring platforms and surveillance systems mNPI Detection Expertise: Real-world experience identifying material non-public information across various communication channels Understanding of materiality thresholds, disclosure timing requirements, and market impact assessments Experience with mosaic theory applications and research compliance frameworks Industry Experience Investment banking, asset management, or registered investment advisor backgrounds Regulatory examination or enforcement experience Experience with current RegTech trends and compliance automation tools Contract Terms 100% Remote - Work from anywhere at your convenience Flexible Engagement - Contribute based on your availability (typically 10-15 hours/week) Premium Compensation - Competitive rates recognizing your specialized expertise Strategic Impact - Your insights directly influence the evolution of compliance technology How to Apply Submit your resume and cover letter highlighting: Your 7+ years of investment compliance experience with specific focus on mNPI detection Examples of complex compliance scenarios you've navigated successfully Your approach to identifying subtle violations that automated systems might miss Any experience with compliance technology or interest in RegTech innovation Your availability for flexible consulting engagements Join us in defining the future of investment compliance. Your expertise will help create more effective tools for the entire compliance community. Passionate about investment compliance, mNPI detection, and the future of regulatory technology? We'd love to hear from you

About the Role We're seeking experienced finance professionals with deep expertise in Expert Networks , Fintech , Quant Funds , and Investor Relations to provide strategic advisory services. This opportunity focuses on leveraging your specialized knowledge to guide innovative financial technology solutions through flexible, hours-based consulting that accommodates your schedule. Key Responsibilities Expert Network Operations: Platform optimization, expert recruitment, and client engagement strategies Fintech Product Development: Design frameworks and go-to-market strategies for B2B/B2C solutions Quantitative Investment Strategies: Develop risk management frameworks and algorithmic trading solutions Investor Relations Optimization: Strategic communication frameworks for financial institutions Industry Leadership: Lead expert network calls and consulting sessions with institutional clients Market Intelligence: Provide strategic insights on fintech trends, quant developments, and IR best practices Required Qualifications 5+ years finance experience in Expert Networks, Fintech, Quant Funds, or Investor Relations Advanced degree (MBA, CFA, CQF, or equivalent certification preferred) Proven track record at top-tier platforms or financial institutions Technical expertise in expert network methodologies, fintech product development, or quantitative modeling AI/LLM Knowledge: Familiarity with Large Language Models and finance applications Communication skills: Ability to present complex concepts clearly to senior stakeholders Preferred Experience Expert Networks: Deep operational knowledge of GLG, Guidepoint, Third Bridge, AlphaSights, Tegus Expert recruitment, client management, platform optimization Financial Data Platforms: Bloomberg Terminal, Refinitiv, FactSet, S&P Capital IQ proficiency Fintech: Product development, UX optimization, B2B/B2C market positioning Quantitative Finance: Systematic trading strategies, risk modeling, portfolio optimization Alternative data analysis, quantitative research methodologies Investor Relations: Strategic communication, earnings preparation, stakeholder management Contract Terms 100% Remote - Location independent Flexible Hours - Based on your availability Competitive Compensation - Hourly rates matching your expertise Strategic Focus - High-level guidance and framework development Professional Development - Access to exclusive industry networks How to Apply Submit your resume and cover letter addressing: Your 5+ years finance experience in Expert Networks, Fintech, Quant Funds, or IR Specific platform/company experience with concrete examples and outcomes Strategic advisory background with measurable results Availability and motivation for consulting work Passionate about Expert Networks, Fintech innovation, Quantitative Finance, and Investor Relations excellence? We'd love to hear from you!

If you haven't spent 5+ years deep in expert network operations - managing expert recruitment, client engagements, and scaling operations across platforms like GLG, Guidepoint, or Third Bridge - this role isn't for you. We need someone who understands the end-to-end expert network process, has built relationships with top-tier experts across various industries, and can translate that operational expertise into AI training frameworks. Our AI company has been around for 5+ years and is scaling aggressively in multiple research verticals. About the Role We're building AI tools to optimize expert network operations across all industries and sectors. We need seasoned expert network professionals to teach our AI how expert networks actually work - from identifying the right experts to managing client relationships and streamlining the research process. Think of it as training a computer to understand the nuances and workflows you've mastered throughout your expert network career across diverse industry verticals. We're seeking experienced professionals with deep expertise in Expert Network Operations to provide strategic advisory services focused on operational frameworks and process optimization. This opportunity leverages your specialized knowledge of expert network operations to guide our AI-powered research solutions across multiple industries. Key Responsibilities Expert Network Process Training: Design AI training frameworks for optimizing expert network operations and workflows across all industry verticals Platform Optimization: Develop operational protocols for expert network client engagement and expert recruitment processes spanning multiple sectors Operational Frameworks: Create systematic approaches for streamlining expert network operations and improving efficiency across diverse industries Industry Leadership: Lead expert network operations training sessions with our AI development team Market Intelligence: Provide strategic insights on expert network trends, operational best practices, and industry standards across various sectors AI Model Training: Work directly with our development team to train LLMs on expert network operations and process optimization for all industries Required Qualifications 5+ years experience specifically in Expert Network Operations with strong operational background across multiple industries or sectors Deep operational knowledge of major expert networks: GLG, Guidepoint, Third Bridge, AlphaSights, Tegus, and other platforms Proven expertise in expert network methodologies, client management, and operational frameworks across diverse industry verticals Advanced degree (MBA, advanced degree in relevant field, or equivalent certification preferred) Technical collaboration skills: Ability to work with AI/LLM development teams to train operational models Communication skills: Ability to translate complex operational processes into AI training data Preferred Experience Expert Network Operations: Expert recruitment and vetting processes across multiple industries (technology, healthcare, manufacturing, consumer goods, energy, etc.) Client engagement strategies and relationship management for diverse sector research Platform optimization and operational efficiency across various industry verticals Industry knowledge of expert network operational standards for all sectors Multi-Industry Research: Primary research methodologies across different sectors Expert network operational frameworks for various industries Research process optimization for diverse client needs Operational monitoring and reporting systems across multiple verticals Industry Exposure (Preferred): Technology and software Healthcare and life sciences Financial services Manufacturing and industrials Consumer goods and retail Energy and utilities Professional services Government and public sector Contract Terms 100% Remote - Location independent Flexible Hours - Based on your availability Competitive Compensation - Hourly rates matching your expertise Strategic Focus - AI model training and operational framework development Professional Development - Access to cutting-edge AI research technology How to Apply Submit your resume and cover letter addressing: Your 5+ years Expert Network Operations experience with specific platform examples across multiple industries Operational expertise with concrete examples of process optimization or workflow improvements across different sectors Technical background in AI/LLM model training or production software development Specific outcomes from expert network operational initiatives you've led across various industries Availability and motivation for AI operations training work Ready to teach AI systems how to optimize expert network operations across all industries? We'd love to hear from you!