Remote Dev Jobs
56 jobs available
ToptalRemote1d ago
Headquarters: Remote URL: https://www.toptal.com/ About the Role We're looking for engineers to help build and productionize AI systems on AWS Bedrock AgentCore — real conversational AI, RAG pipelines, and agent architectures that go well beyond proof-of-concept and serve live traffic and real users. Whether your strength is on the AI application side (agents, RAG, orchestration) or the platform side (deployment, observability, security), this role sits at the center of turning working demos into production-grade, reliable systems on Bedrock's agentic stack. If you've built and shipped on AgentCore specifically — not just Bedrock in general — and want your work to run in production rather than sit in a notebook, this is built for that. What You'll Do Design, build, and deploy conversational AI systems, chatbots, and AI agents using AWS Bedrock AgentCore Architect and ship production-grade RAG (Retrieval-Augmented Generation) systems — not prototypes, but systems serving live traffic Build and deploy LLM applications primarily on AWS Bedrock and AgentCore, with Azure OpenAI or equivalent platforms as secondary context Develop and orchestrate agent architectures within AgentCore, using frameworks such as LangChain, LangGraph, or LlamaIndex where applicable Build and maintain MCP (Model Context Protocol) server integrations to extend AgentCore agent capabilities Design and build the production service layer around AgentCore (Lambda, API Gateway, IAM, DynamoDB, OpenSearch, or equivalents) Establish CI/CD pipelines and manage development, beta, and production environments for AgentCore-based services Implement observability for AgentCore agents: tracing, dashboards, per-turn cost and latency metrics, error rates, and audit trails Implement key security controls — data-leakage protection, session isolation, auth/authz boundaries, secure prompt/response storage Write clean, maintainable, production-quality Python across the AI application and platform stack Monitor, evalua
ToptalRemote4d ago
Headquarters: Remote URL: https://www.toptal.com/ Summary: We are looking for a Senior Full Stack AI Engineer to design, build, and scale production-grade applications powered by generative AI. This role is focused on delivering real products, not just prototypes. The ideal candidate is a strong end-to-end builder who can make sound architectural decisions, integrate AI capabilities into usable systems, and balance fast delivery with long-term maintainability. General Information: This is a senior engineering role for someone who can own product development from architecture through deployment. The role requires strong full stack engineering fundamentals combined with hands-on experience integrating generative AI into production workflows. The right candidate understands how to build scalable backend services, intuitive frontends, and reliable AI-enabled features that serve real users. This person should bring strong product thinking, architectural judgment, and the ability to move independently from requirements to shipped solutions. Tasks and deliverables: Build end-to-end applications that incorporate generative AI capabilities into real user workflows Develop scalable backend services, APIs, and integrations using modern engineering practices Build responsive and maintainable frontend experiences using modern frameworks Design modular system architectures that support scalability, reliability, and long-term maintainability Integrate LLMs and other AI tools into production applications with appropriate safeguards and monitoring Optimize prompt flows, data pipelines, and system interactions for consistency and performance Translate business requirements into technical solutions and make strong implementation trade-offs Own features from ideation through development, testing, deployment, and iteration Reuse and adapt proven solutions where appropriate to accelerate delivery Continuously improve product quality based on performance data, feedback, and operational le
OnTheGoSystemsRemote4d ago
Headquarters: Remote URL: http://onthegosystems.com At OnTheGoSystems, we're building AI systems that help people translate content across many languages. Our LLM team works with AI-generated translations, user edits, customer feedback, and quality data to continuously improve translation quality. We're looking for a Data Analyst who enjoys solving open-ended problems, finding patterns in complex datasets, and turning data into practical recommendations. This is not a reporting role. You'll decide what to measure, investigate why things happen, and help the team make better decisions based on evidence. What you'll do You'll own analytical problems from start to finish. For example, you may discover that users edit translations much more often for one language pair than another. Instead of simply reporting it, you'll investigate why. You'll form hypotheses, gather the data, test possible explanations, and recommend the next steps. Your work will include: Defining meaningful metrics for translation quality, AI performance, and user behavior. Monitoring trends and identifying unusual patterns or quality issues. Turning observations into structured investigations and testing multiple hypotheses. Extracting and combining data from SQL databases, NoSQL databases, logs, APIs, and CSV exports. Comparing results across language pairs, AI models, providers, customers, content types, traffic levels, and other dimensions. Separating real signals from coincidence by validating findings with data. Reviewing translation samples to confirm whether patterns represent genuine quality issues. Investigating root causes and recommending practical improvements. Evaluating multilingual AI output for meaning, terminology, tone, formality, grammar, pronouns, and consistency. Using AI tools, dictionaries, and other resources to investigate languages you don't speak, while recognizing when expert linguistic input is needed. Reviewing AI-generated analyses, identifying incorrect conclusions, a
MindriftRemote5d ago
Headquarters: Saudi Arabia URL: http://mindrift.ai Description Mindrift is looking for skilled Full-Stack Web App Developers (JavaScript/TypeScript + Python or Node) to join the Tendem project ( https://tendem.ai/ ) and build interactive browser-based applications within our hybrid AI + human environment. In this role, as an AI Pilot – that's how we refer to this position at Mindrift – you'll collaborate with Tendem Agents that handle repetitive tasks, while you provide full-stack engineering expertise, architectural judgment, and quality control to ensure web apps are functional, robust, and ready for real users. This part-time remote opportunity is ideal for professionals with hands-on experience in modern frontend frameworks, backend APIs, databases, and shipping interactive web products end-to-end. What We Do The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe. About the Role This is a freelance role for a Tendem project. As a Full-Stack Web App Developer, you'll design, build, and refine browser-based applications with real logic, state, persistence, and user input — from habit trackers and budgeting tools to internal dashboards, mini-SaaS tools, and AI-powered apps. You may also work on standalone Python applications and data-processing scripts that sit alongside or behind these products. Key Responsibilities Build interactive web applications with frontend (React, Next.js, Vue, or similar) and a backend API (Python/FastAPI/Flask or Node/Express). Design and implement data models, schemas, and persistence layers using SQL (PostgreSQL, SQLite) or NoSQL stores. Implement authentication, sessions, and basic role-based access where needed. Integrate third-party APIs and AI/LLM services (OpenAI, Anthropic, or similar) into product features. Handle state management, user input validation, error states, and loading sta
CoinbaseRemote5d ago
Headquarters: Remote - USA Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . As a Senior Staff Software Engineer on the Core Automation team within Platform , you'll architect and build the Agentic AI systems that are reimagining how Coinbase delivers customer support and manages compliance at scale. This team is focused on automating high-volume operational processes with AI, then building the primitives and orchestration platform that let every domain at Coinbase leverage those capabilities. You'll own the technical vision for production AI systems that directly improve customer experience, strengthen compliance posture, and drive outsized efficiency gains. What you'll do: Own the design and implementation of Agentic AI systems powering Coinbase's customer support and compliance automation Architect a reusable platform of primitives, orchestration tools, and interfaces that enable other teams to adopt Agentic AI for their domains Drive cross-functional alignment with product, compliance, and operations stakeholders to translate business needs into scalable technical solutions Lead technical strategy for getting LLM-based applications from prototype to production, including grounding, hallucination reduction, and reliability at scale Mentor engineers across the team on system design, coding standards, and AI/ML best practices Required Skills and Experience: 12+ years of backend software engineering experience, with deep profic
CoinbaseRemote5d ago
Headquarters: Remote - USA Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . As a Senior Software Engineer on the Platform Core Automation team, you'll build the AI infrastructure and agentic systems that automate customer support and compliance operations at Coinbase. This team is reimagining what these processes look like when AI handles them end-to-end, replacing manual workflows with intelligent agents that resolve customer issues and execute compliance tasks autonomously. You'll own the design and delivery of LLM-powered systems, grounding techniques, and integration pipelines that directly reduce resolution times, cut costs, and improve accuracy across millions of customer interactions. What you’ll be doing (ie. job duties): Own the design and delivery of agentic AI systems that power Coinbase's customer support and compliance automation, from LLM orchestration through production deployment and monitoring. Build scalable, secure backend infrastructure in Python and Golang that serves AI workloads, including model integration pipelines, guardrails, grounding mechanisms, and measurement frameworks. Drive end-to-end project execution on complex AI initiatives, making technical trade-offs across latency, accuracy, cost, and reliability. Partner with Customer Experience, Compliance, and product engineering teams to identify high-impact automation opportunities and translate operational pain points into AI-powered solutions. St
Corriculo Ltd · 🇬🇧 London, United KingdomRemote6d ago
AI Implementation Engineer, LLMs, Agent Frameworks, Python, Remote, COR7625 Salary to 170k + Equity An AI Implementation Engineer opportunity has emerged with a fast-growing, venture-backed AI business. Could this be the role where your hands-on AI delivery experience and your appetite for real customer impact finally come together? The Role The AI Implementation Engineer will take full ownership of customer deployments from initial kickoff thro...
TwilioRemote6d ago
Headquarters: Remote - US Who we are At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to remote-first work , and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions! . See yourself at Twilio Join the team as Twilio’s next Principal Engineer. About the job The Compliance Experiences team sits at the heart of the Twilio platform, owning two critical domains: Phone Numbers and Compliance (KYC). In 2026, "getting a phone number" is no longer a simple API call; it requires sophisticated orchestration across global phone number inventory, real-time identity verification, regulatory compliance, and operational tooling at massive scale. Twilio’s KYC Platform, the gateway to accessing all of Twilio’s communication APIs, enables customers to securely provision and operate communication services globally while navigating complex, constantly evolving regulatory requirements. As a Principal Engineer (P5), you will own the technical strategy for a platform that processes millions of requests. You will be expected to pioneer AI-driven development workflows using LLMs and agentic agents to accelerate code generation, automate architectural reviews, and synthesize complex global telecommunications regulations into executable logic. Your mission is to collapse the distance between a great idea and a production ready feature. Responsibilities In
CoinbaseRemote6d ago
Headquarters: Remote - Brazil Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . The CX Intelligence Engineering team, part of Coinbase's Enterprise Applications and Architecture org, builds the multi-agent platform powering Coinbase Chat, Help Center, and agent tooling. As a Machine Learning Engineer on this team, you'll design and scale the agentic systems that automate complex customer support workflows, connecting LLMs with internal APIs and tools to deliver fast, accurate, and compliant AI-powered experiences for millions of customers. What you'll do: Architect multi-agent systems using advanced orchestration frameworks (LangGraph, Google ADK) to automate complex customer support procedures end-to-end. Build and scale integrations using Model Context Protocol (MCP) to connect LLMs with internal Coinbase APIs, databases, and third-party tooling. Develop automated "LLM-as-a-judge" evaluation pipelines to monitor, measure, and improve the performance of non-deterministic AI agents in production. Implement RAG, fine-tuning, and prompt engineering techniques to ensure chatbot responses are grounded, accurate, and compliant with Coinbase policies. Ship production-ready Python services that are resilient, low-latency, and capable of handling Coinbase-scale traffic across asynchronous microservices. Partner with Conversation Design and Product to translate complex business logic into executable agent procedures within the decentral
Carrington Recruitment Solutions Ltd · 🇬🇧 Edinburgh, United KingdomRemote1w ago
Head of Labs, Data Science, AI, LLMs, SLMs, Agentic AI, Innovation, Data, Remote with Travel Head of Labs, AI & Data Leader required to work for a fast moving and growing organisation based all over the country! This role is mainly remote but there will be some travel involved, mainly to their London offices. For people who live outside of Greater London, your travel cost will be reimbursed. You can literally live anywhere in the UK for this...
Uber · 🇺🇸 San Francisco, United StatesRemote1w ago
Sr. Staff Engineer (GenAI) About the Role Uber's Customer Obsession team builds the platform and AI that powers world-class support across mobile, web, and voice at global scale. We are now hiring a Senior Staff Engineer to architect, productionize, and scale an autonomous support agent that resolves customer issues end-to-end. Experience with agentic architectures is an important pre-requisite to be successful in this role. You'll push the state of the art in GenAI for customer service-LLM orchestration, evaluation, safety guardrails, multilingual support, and real-time voice-while holding a very high bar for reliability and cost efficiency. We are still at an early stage and value candidates with bias for action who get creative with GenAI tools to accelerate execution and experimentation. What the Candidate Will Need / Bonus Points ---- What the Candidate Will Do ---- Own the end-to-end agent architecture : agentic planning and execution loops, long-term memory, persona/voice, knowledge routing, and policy enforcement for compliant, on-brand conversations. Ship production systems that handle millions of conversations with rigorous SLOs, fallbacks, and canaries ; design graceful degradation (e.g., human handoff) and safety guardrails (prompt-injection, jailbreak, PII redaction). Advance retrieval & reasoning : Build next-generation retrieval and reasoning pipelines, where the agent can search across different knowledge sources, apply policy-driven tools, and call structured workflows and ensure that responses are consistently grounded. Establish evals that matter : offline rubrics, simulated scenarios, safety tests, cost/latency tradeoff suites, and LLM-as-judge (with calibrated human review) wired into CI/CD and experiment platforms. Drive automation at scale : partner with Product/Design/Operations on coverage, policy alignment, localization, and rollout strategy to better customer experience and reduce cost per contact . Mentor/principal-lead multiple pods; set
ToptalRemote2w ago
Headquarters: Remote URL: https://www.toptal.com/ About the Role We're looking for engineers to help build and productionize AI systems that go well beyond proof-of-concept — real conversational AI, RAG pipelines, and agent architectures running on AWS Bedrock and/or Azure OpenAI, serving live traffic and real users. Whether your strength is on the AI application side (agents, RAG, orchestration) or the platform side (deployment, observability, security), this role sits at the center of turning working demos into production-grade, reliable systems. If you like being close to the frontier of agentic AI and want your work to ship rather than sit in a notebook, this is built for that. What You'll Do Design, build, and deploy conversational AI systems, chatbots, and AI agents powered by large language models Architect and ship production-grade RAG (Retrieval-Augmented Generation) systems — not prototypes, but systems serving live traffic Build and deploy LLM applications on AWS Bedrock, Azure OpenAI, AgentCore, or equivalent platforms Develop and orchestrate agent architectures using frameworks such as LangChain, LangGraph, or LlamaIndex Build and maintain MCP (Model Context Protocol) server integrations to extend agent capabilities Design and build the production service layer (Lambda, API Gateway, IAM, DynamoDB, OpenSearch, or equivalents) Establish CI/CD pipelines and manage development, beta, and production environments Implement observability: tracing, dashboards, per-turn cost and latency metrics, error rates, and audit trails Implement key security controls — data-leakage protection, session isolation, auth/authz boundaries, secure prompt/response storage Write clean, maintainable, production-quality Python across the AI application and platform stack Monitor, evaluate, and iterate on agent, RAG, and platform performance in production Stay current with fast-moving developments in LLMs, agentic systems, and cloud AI platforms, and bring relevant advances into the
Proxify ABRemote2w ago
Headquarters: Sweden URL: http://career.proxify.io The Role: We are looking for a Senior Data Engineer to architect and scale the data foundations for one of our high-growth client products. The ideal candidate is a Python expert who treats data infrastructure as software, implementing CI/CD, unit testing, and observability into every layer of the modern data stack. You are a perfect candidate if you are growth-oriented, you love what you do, and you enjoy working on new ideas to develop exciting products. What we’re looking for: 5+ years of experience building complex data processing applications using Python (Pandas, PySpark, or Dask). Advanced SQL skills for complex transformations, window functions, and query optimization in cloud warehouses. Deep experience with dbt (data build tool) for managing the T in ELT, including documentation and testing. Proven experience with Apache Airflow, Prefect, or Dagster for managing complex dependency graphs. Hands-on experience with Snowflake, BigQuery, or AWS Redshift. Strong understanding of Dimensional Modeling (Star/Snowflake schema) and Data Vault 2.0. Experience with Git, Docker, and implementing CI/CD for data pipelines. Nice-to-Have: Experience building Real-time Pipelines using Kafka or Flink. Familiarity with Data Contracts and Data Quality frameworks (Great Expectations, Monte Carlo). Knowledge of Vector Databases (Pinecone, Milvus) for AI/LLM applications. Infrastructure as Code (Terraform) experience. Responsibilities: Build and maintain scalable, automated ELT/ETL pipelines that provide a 'single source of truth' for the organization. Implement rigorous automated testing and monitoring to ensure data integrity and reliability. Optimize warehouse storage and compute costs while reducing pipeline latency. Partner with Data Scientists and Product Managers to translate business requirements into technical data models. Promote a 'DataOps' culture within the team, conducting code reviews and sharing best practices. Wh
Proxify ABRemote2w ago
Headquarters: Sweden URL: http://career.proxify.io The Role: We are looking for a Senior Python AI Engineer to join our fast-growing Network, who will design and develop backend systems and APIs for AI-powered applications. You will play a key role in designing and building scalable backend systems and APIs, collaborating closely with cross-functional teams to shape the future of data-driven products across various platforms. What we are looking for: Strong proficiency in Python (5+ years), including modern frameworks (FastAPI, Flask, or Django). Deep learning frameworks (PyTorch, TensorFlow) for custom modeling beyond LLM APIs. Experience with large language models (LLMs) such as GPT, Gemini, LLaMA, or similar. Experience with prototyping tools: Streamlit, Gradio Solid experience designing RESTful APIs and microservice architectures. Strong backend development expertise, including databases (SQL/NoSQL). Experience with version control (Git) and CI/CD workflows. Hands-on experience with containerization (Docker, ideally Kubernetes). Familiarity with cloud platforms (AWS, Azure, or GCP) is a plus. Understanding of security best practices for handling sensitive data. Strong problem-solving skills to address complex challenges and performance bottlenecks. Excellent technical communication skills to collaborate effectively across teams and explain technical concepts to non-technical stakeholders. Ability to work independently while aligning with broader team goals. Intermediate-advanced English level. Time zone: CET (+/- 3 hours). We are unable to consider applications from candidates in other time zones. AI/ML & LLM Ecosystem: LLM orchestration frameworks: LangChain, LangGraph, LlamaIndex. Retrieval-Augmented Generation (RAG) pipeline design. Experience with vector databases (Pinecone, Weaviate, Milvus, Chroma, FAISS). Hands-on with LLMs & APIs: OpenAI (GPT-5/5-mini), Anthropic Claude, Google Gemini, Meta Llama, Mistral. Familiarity with AWS Bedrock for accessing and d
Contract Staffing Recruiters · 🇺🇸 United StatesRemote2w ago
Platform Cloud Engineer This role is a senior technical leadership position responsible for integrating and delivering production-grade AI, machine learning, and data capabilities. The position combines hands-on software engineering with system-level design, leading end-to-end development of scalable, cloud-based solutions that leverage LLMs, MLOps, and automation. Working closely with cross-functional stakeholders, the role balances near-term delivery with long-term strategy while mentoring en…
VidalyticsRemote2w ago
Headquarters: Austin, TX URL: https://vidalytics.com If you can create copy and marketing that converts, and you actually know WHY it converts, and you can take raw customer research, turn it into a big idea, and ship a finished asset that prints money on cold traffic, keep reading. Now do all of that with AI in your corner, so you can scale the highest converting video player for marketers and get paid for what you produce. You'll act like a Creative Director and Copy Chief to the LLMs. Then this is the job for you. You have to be a great marketer WITHOUT AI first. That means you know how to structure VSLs, ads, landing pages, and upsells with the right mechanics: hooks, big ideas, unique mechanisms, social proof, objection handling, and real emotional impact… … and you’re not just relying on AI to write something that sounds cool. You need to own the strategy behind your marketing. You can’t expect other people to do your thinking for you. With AI those days are gone. Thus you need to really get - what we make, why we make it, what we test next, and getting it produced. We're Vidalytics.com, a video hosting platform that increases the conversions for any marketing video. Videos hosted on Vidalytics have sold over $5.7 Billion. We aren't some brand awareness fluff factory. We're ROI or die. Clients include: VShred • Frank Kern • USCCA • Jon Benson • Primal Health • Brendon Burchard • Performance Golf • Todd Brown • Perry Belcher • Entrenation • Mike Dillard • Trugenics • Chris Haddad • and even bigger, better known brands under NDA What You'll Be Doing (Job Tasks) (You direct the machine, then own the decisions that move the needle) You'll be the architect of creative across the whole Vidalytics marketing engine: the strategy, the copy, and the production behind it. The key to this role is getting funnels to convert on cold traffic and cold email. Some of the things you may be working on, and can be discussed based on your experience, results and preferences. Creat
VidalyticsRemote2w ago
Headquarters: Austin, TX URL: https://vidalytics.com Become a Key Member of the Team at a Tech SaaS Startup If your copy can turn clicks into customers and doesn’t just sound cute… And you wanna supercharge this power w/ AI to scale the highest converting video player for marketers and get paid for your contributions… … Which means you’ll act like a Copy Chief to the LLMs… Then this is the job for you! You must be a great copywriter WITHOUT AI, which means you know how to structure a VSL / ad / landing page / upsell video / etc w/ the right mechanics such as hooks, big ideas, unique mechanisms, big ideas, social proof, handle objections, and speak to someone's soul with emotional impact. We’re Vidalytics.com, a video hosting platform made for Video Sales Letters (VSLs), used by top direct response and performance marketers. Videos hosted on Vidalytics have sold over $5.7 Billion, and we keep growing year over year. Clients include: VShred • Frank Kern • USCCA • Jon Benson • Primal Health • Brendon Burchard • Performance Golf • Todd Brown • Perry Belcher • Entrenation • Mike Dillard • Trugenics • Chris Haddad • Other 9 and 10 figure brands you KNOW but are under an NDA What You’ll Be Doing (Job Tasks) You’ll be the architect & Copy Chief of our copy across the entire Vidalytics marketing engine. While you may work on all of our copy and content the key to success in this role is getting copy to convert on cold traffic / cold email / ads / etc. You need to have direct response, conversion minded best practices in your DNA. If you can get conversions, then you’re going to be compensated very well. You won’t sit there typing first drafts from scratch; you direct the machine. Then you own the high-leverage decisions that actually move the needle: the mechanisms, the hooks, the big ideas, the overall structure, the proof claims, and the social proof claims. And you own what’s working best: the hypothesis framework and the testing behind it. Here are some of the possible t
Contract Staffing Recruiters · 🇺🇸 United StatesRemote2w ago
Platform Cloud Engineer This role is a senior technical leadership position responsible for integrating and delivering production-grade AI, machine learning, and data capabilities. The position combines hands-on software engineering with system-level design, leading end-to-end development of scalable, cloud-based solutions that leverage LLMs, MLOps, and automation. Working closely with cross-functional stakeholders, the role balances near-term delivery with long-term strategy while mentoring en…
VidalyticsRemote3w ago
Headquarters: Austin, TX URL: https://vidalytics.com Become a Key Member of the Team at a Tech SaaS Startup If your copy can turn clicks into customers and doesn’t just sound cute… And you wanna supercharge this power w/ AI to scale the highest converting video player for marketers and get paid for your contributions… … Which means you’ll act like a Copy Chief to the LLMs… Then this is the job for you! You must be a great copywriter WITHOUT AI, which means you know how to structure a VSL / ad / landing page / upsell video / etc w/ the right mechanics such as hooks, big ideas, unique mechanisms, big ideas, social proof, handle objections, and speak to someone's soul with emotional impact. We’re Vidalytics.com, a video hosting platform made for Video Sales Letters (VSLs), used by top direct response and performance marketers. Videos hosted on Vidalytics have sold over $5.7 Billion, and we keep growing year over year. Clients include: VShred • Frank Kern • USCCA • Jon Benson • Primal Health • Brendon Burchard • Performance Golf • Todd Brown • Perry Belcher • Entrenation • Mike Dillard • Trugenics • Chris Haddad • Other 9 and 10 figure brands you KNOW but are under an NDA What You’ll Be Doing (Job Tasks) You’ll be the architect & Copy Chief of our copy across the entire Vidalytics marketing engine. While you may work on all of our copy and content the key to success in this role is getting copy to convert on cold traffic / cold email / ads / etc. You need to have direct response, conversion minded best practices in your DNA. If you can get conversions, then you’re going to be compensated very well. You won’t sit there typing first drafts from scratch; you direct the machine. Then you own the high-leverage decisions that actually move the needle: the mechanisms, the hooks, the big ideas, the overall structure, the proof claims, and the social proof claims. And you own what’s working best: the hypothesis framework and the testing behind it. Here are some of the possible t