Sinhala English Projects

opportunity

Illustrator and animator for TikTok content

We are looking for a freelance content creator to help us turn a bank of fun content ideas into engaging TikTok content. This is not just an illustration brief. We need someone who can take rough ideas and direction from our team, develop them into simple but effective cartoon-led content, create the assets, and help us manage the process through to post-ready delivery. Depending on the setup, this may also include uploading and posting content to TikTok with guidance from our side. The concept may sit under a standalone TikTok identity rather than an obvious agency brand, so we are looking for someone who understands how to create content that feels natural to the platform rather than overly polished or corporate. What the role involves You would be expected to: take rough ideas, prompts or loose scripts from us and shape them into short-form content concepts create cartoon-style visual assets, including static cartoon cells, character scenes and simple illustrated formats ideally animate those assets into short videos or light-motion content suitable for TikTok add captions, pacing and simple editing so the content feels native to the platform work with light creative and editorial guidance from our team help organise the content creation process from idea through to finished assets potentially support with scheduling or posting content to TikTok once agreed What we are looking for We are looking for one person who is: creatively strong and visually sharp tuned into TikTok and understands what performs on the platform able to work independently and take ownership of the process comfortable with humour, character-led content and repeatable content formats fast, practical and not prone to overcomplicating things affordable and open to ongoing freelance work ideally based in or near Surrey, UK, as there may be value in occasional in-person collaboration fluent in English, with strong written and spoken communication Nice to have experience creating content for TikTok or Instagram Reels character design skills simple 2D animation or motion graphics ability experience writing captions or shaping content for social confidence suggesting improvements to ideas rather than only executing briefs experience posting directly to TikTok Please include in your application examples of relevant cartoon, illustrated or animated content links to any TikTok or short-form social content you have created or managed your rates, whether per piece, per batch or per day a short note on how you would turn rough ideas into a repeatable TikTok content series your location and whether you are available for occasional in-person collaboration in Surrey. Additional notes We are not looking for a large studio or expensive production setup. We are looking for one reliable freelance creator who can think creatively, move quickly and help run the process end to end. There is potential for ongoing work for the right person.

Make a (production/demo) level install of a DGX Spark cluster

Hi, I'm looking for an experienced AI infrastructure specialist — or a passionate enthusiast with solid hands-on experience — to build a robust, flexible, and high-performance backend foundation for OpenClaw (an open-source autonomous AI agent) on two NVIDIA DGX Spark systems connected via 200 GbE (ConnectX-7). The goal is a stable, demo-ready environment that showcases the power of open-source models. OpenClaw will run on a separate system and connect easily via OpenAI-compatible APIs (or equivalent best-practice interfaces). Everything should prioritize: Easy remote access and external connectivity (via Tailscale/ZeroTier). Fast performance within the hardware's unified memory constraints. Simple model switching/adding later (hot-swappable where possible). Persistent services with web UIs for live demos. On-demand tools that can spin up/down cleanly. Hardware & Current State 2× NVIDIA DGX Spark (Grace Blackwell, 128 GB unified LPDDR5x memory each, ARM64). 200 GbE interconnect + 1 GbE internet links. I have a basic cluster setup, timeshift snapshots, ZeroTier, and Tailscale already running. You're welcome to rebuild from scratch if that's cleaner and faster. Core Requirements (Persistent Where Possible) vLLM as primary inference engine with a large-context main model (e.g., Nemotron 120B or equivalent). Must support easy switching to newer models. Whisper (or best-practice alternative like faster-whisper) – ready for OpenClaw API integration. Piper TTS – ready for OpenClaw API/text-to-voice integration. All persistent services should run with clean web UIs for demo purposes. On-Demand Tools (Configured for Easy External/Tailscale Access + Web UIs) Ollama + web UI (for specific or scheduled models). OCR model + workflow (let's discuss the best option—e.g., EasyOCR/PaddleOCR—and data saving/integration with other tools). Image generation (primary for OpenClaw use) with multiple models available. LoRA training tools for image generation. RAG / vector DB (choose the best integration with OpenClaw and other tools—e.g., Qdrant, Chroma, or Milvus). Multi-agent capable dev tools / environment. Central Portal & Usability A single web-based portal (e.g., OpenWebUI or equivalent) for central access to all tools, easy model switching, admin controls, and live demos. Nice-to-Have / Optional Enhancements (quote separately if interested) Full 2-node clustering with tensor parallelism (e.g., using the open vLLM-DGX-Spark repo or Ray/NCCL). Docker Compose / lightweight Kubernetes orchestration for easy updates and portability. Monitoring dashboard (Prometheus + Grafana). NVIDIA NIM microservices for optimized inference. Any other best-practice tools you recommend for integration, speed, or flexibility. Your Profile You're deeply familiar with these tools (or eager to dive in as an enthusiast), NVIDIA DGX systems (especially Spark/Grace Blackwell), multi-node inference (vLLM, tensor/pipeline parallelism), Docker/containerization, and API integrations. You understand VRAM/unified-memory optimization and can make everything work together smoothly. Bonus if you have experience with OpenClaw, OpenWebUI, RAG pipelines, or agent frameworks. Proper English communication (written and spoken) is a must for smooth collaboration. Timeline & Expectations We have a tight deadline — I need a stable, running environment live as soon as possible. You're completely free to experiment, test, and play around with different configurations during setup, but the priority is delivering a functional, demo-ready system quickly. Speed matters, while still maintaining quality and stability. Compensation Competitive hourly rate (fully flexible and based on your region, experience, and the exact scope) or a fixed-price project bid if preferred. I'm completely open to discussion—propose whatever rate works best for you and your location. This project serves as a test case for potential further collaboration and ongoing work if it goes well. If you're the right fit, there will be plenty of exciting follow-up opportunities. Work Style & Availability This is remote work. I am completely flexible on working hours and not EU-bound. As long as you're excellent at what you do, I'm happy to work with talent from anywhere in the world (including low-income countries—great people deliver great results everywhere). If this sounds like a good fit, reply with: Your relevant experience (especially with DGX Spark, vLLM multi-node, or similar stacks — enthusiasts with strong practical knowledge are very welcome). Rough timeline and cost estimate (with your proposed rate). Any questions or suggested improvements. Looking forward to building something powerful together!

I need an experienced AI engineer

We are hiring a Senior AI Engineer to own and accelerate AI capabilities across the platform — from customer-facing features to internal agentic workflows and production-grade AIOps. This is a high-impact, hands-on role where you will shape the next generation of AI systems and directly influence customer experience, product velocity, and operational efficiency. The Opportunity You will lead development across three core pillars: - AI Product Engineering – Ship core AI-powered features — intake, scheduling, session notes, billing automation, and more. - AI Foundations / Enablement – Build reusable primitives, evaluation tooling, and golden paths. - Agentic Workflows & AIOps – Create AI agents that automate operational work and support internal operations. What You’ll Do AI Product Engineering (Customer-Facing Features) - Build AI features end-to-end: requirements → design → implementation → rollout → evaluation. - Implement LLM-backed workflows including summaries, extraction, structured output, copilots, billing scrubbing, and guided automation. - Collaborate across Product, Design, QA, and Clinical SMEs. Own AI-powered improvements across: RCM, scheduling, intake, documentation, reporting, customer support automation. AI Foundations / Enablement - Create reusable AI primitives: prompt templates, agent patterns, tool schemas, safety guardrails, retrieval modules. - Build evaluation harnesses and continuous regression testing. - Enable developer productivity via AI coding tools and best practices. - Establish “golden paths” for consistent and safe AI feature delivery. Agentic Workflows & AIOps - Develop in-platform agents for billing checks, eligibility validation, claim scrubbing, data cleanup, workflow routing, and anomaly detection. - Build AIOps capabilities: incident summaries, RCA suggestions, intelligent alerts, correlation. - Integrate with telemetry systems for intelligent operations. LLMOps / Production-Ready AI - Implement monitoring, cost governance, retries, fallbacks, and safe-mode behavior. - Own prompt/model evaluation frameworks and online QA metrics. - Ensure HIPAA-aligned data flows: privacy controls, redaction, audit logs, PHI boundaries. Data & Infrastructure - Build vector stores, embeddings, retrieval workflows, and knowledge bases. - Partner with data engineering for eval datasets and rulesets. - Contribute to scalable infrastructure for AI agents and async workflows. Tech Stack - AI Platforms: Azure OpenAI, OpenAI, Anthropic, Bedrock - Frameworks: RAG, agents, orchestration - Backend: .NET, Node.js, Python - Data: SQL Server, Postgres, Redis, vector databases - Observability: Grafana, Loki, Prometheus, OpenTelemetry - Cloud: Azure, AWS, Docker, Kubernetes - AI Dev Tools: Copilot, Claude Code, Cursor, Kiro What You Bring - 5–10+ years building production software systems. - Hands-on experience delivering LLM-powered features or AI agents. - Strong engineering fundamentals. - Experience with LLMOps, safety, monitoring, evaluation. - Strong cross-functional communication. - Healthcare / HIPAA experience a plus. - Fluent English

Small Letter Translated from English to Portuguese

I need a native translation of 295 words translated from English to Brazilian Portuguese , written by a man to a women. Quick turnaround required Many thanks Max