We have a small Python-based machine learning inference service built with FastAPI and scikit-learn. The model was trained on structured tabular data, but our prediction endpoint is currently failing because of feature mismatch errors between the training pipeline and incoming API payloads. We need an experienced ML/MLOps engineer to quickly debug the issue, clean up the preprocessing logic, and make the `/predict` endpoint work reliably again. The goal is not to retrain the full model or build a large system. We only need a focused fix: review the existing model artifact, inspect the expected feature columns, update the API preprocessing code, and provide a short explanation of what was wrong. Bonus if you can also add a simple test request example or basic validation for missing fields. This should be a quick one-time task for someone comfortable with Python, scikit-learn, Pandas, FastAPI, and ML deployment workflows.

AI Cinematic Video Producer: Court / Legal Theme I’m looking for someone who is already highly skilled with OpenArt AI (or similar AI video-generation tools) who can help bring ambitious creative ideas to life. I’ve been wanting to learn OpenArt myself so I can transform my own photos and video footage into cinematic, Hollywood-quality content, but I’ve realized that becoming truly proficient requires a significant time investment. Rather than spending months learning the software, I’d rather partner with someone who already knows it inside and out and can immediately begin creating. About the Project I host an educational podcast for court reporters, attorneys, and legal professionals. While education remains the foundation, I’m evolving the content into something much more cinematic and emotionally engaging. My vision blends: * Documentary-style storytelling * Original music * Narrative filmmaking * AI-generated visuals * Educational podcast conversations * Real courtroom stories and themes See attached songs for an idea of some of the songs I’ve created. Current Project I’m producing a series of original songs that each tell a different story. Each song has its own emotional identity: * Some are funny and lighthearted. * Some are deeply cinematic. * Some are emotional, heartfelt, and thought-provoking. I’m looking for someone who can truly feel the emotion of each piece and translate it into visuals that amplify the story rather than simply illustrating it. This isn’t about making generic AI videos. It’s about creating scenes that evoke emotion, build tension, surprise the audience, and leave a lasting impression. What You’ll Be Doing * Create cinematic AI-generated videos using OpenArt AI (or comparable tools) * Use my existing photos, video footage, branding, and reference material to create realistic, consistent visuals * Help create an AI version of me that remains visually consistent across projects * Match pacing, camera movement, lighting, and visual style to the music and narrative * Collaborate creatively on storyboarding and visual concepts * Deliver polished, emotionally compelling content suitable for YouTube and social media Ideal Candidate You’re someone who: * Already has extensive experience with OpenArt AI or other advanced AI video platforms * Has a strong cinematic eye and understands visual storytelling * Thinks like a filmmaker, not just an editor * Has an intuitive sense of music, pacing, and emotion * Enjoys experimenting with cutting-edge AI creative tools * Takes pride in producing work that makes people stop scrolling and feel something If you’re excited about pushing the boundaries of AI filmmaking and helping build something that is educational, artistic, and unlike anything currently being created in the legal industry, I’d love to hear from you. When applying, please include examples of your most cinematic AI-generated work and tell me which AI tools you’re most proficient with.

I need help completing this project today. The project sits between data engineering and AI. I have source data that needs to be cleaned, structured, and prepared so it can support both analytics and RAG-style AI workflows. The goal is to create a reliable pipeline that takes raw data, normalizes it, preserves basic metadata/lineage, and outputs clean datasets that can be used for dashboards, vector indexing, or internal AI tools. The work may include: - Reviewing the current source data and structure - Cleaning and normalizing datasets - Designing or improving an ETL/ELT flow - Preparing AI-ready data for RAG or vector search - Adding basic validation checks - Organizing outputs for analytics use - Documenting the final workflow clearly Ideal freelancer has experience with: - Python and SQL - Data engineering / ETL pipelines - Databricks, Spark, or similar tools - RAG data preparation - Data cleaning, validation, and modeling - Cloud data storage such as S3, Postgres, or similar This is urgent and must be completed today. Please only apply if you are available immediately and can work quickly without a lot of hand-holding. When applying, please include: - Your relevant experience with AI-ready data pipelines or RAG data preparation - The tools you would use - Confirmation that you can complete this today - Your estimated timeline for delivery

We are a marketing and creative agency serving wealth management, family office, and financial services firms. We are looking for a highly skilled professional who combines expertise in AI workflows, Claude Skills, and presentation design systems. Our goal is to create a custom Claude Skill that allows our team to upload charts, graphs, screenshots, research, and raw content and receive presentation-ready slide concepts that reflect the quality, structure, and visual thinking of a professionally designed agency deck. This is not a simple prompt engineering project. We are looking for someone who understands both AI systems and high-end presentation design. What Success Looks Like When a user uploads: -Charts and graphs -Research reports -Data tables -Screenshots -Existing presentation content The system should: -Recommend the appropriate slide type and layout -Generate compelling slide titles and supporting copy -Identify visual hierarchy and key takeaways -Determine how information should be organized on the slide -Recommend chart treatments and visual enhancements -Follow our agency's established design principles and presentation standards The output should resemble work produced by a professional agency designer—not a generic AI-generated presentation. Responsibilities -Build a custom Claude Skill and supporting workflow -Analyze our existing presentation decks and extract design patterns -Develop a reusable framework for slide layouts, visual hierarchy, and content organization -Create prompting systems that consistently apply our standards -Develop guidance for chart usage, typography, spacing, callouts, and slide composition -Test and refine outputs using real client presentations -Document the system for internal use Deliverables -Custom Claude Skill -Design framework derived from our existing decks -Documentation and implementation guide -Testing and refinement using sample presentations -Team training session

We are looking for an entry-level Software Engineer who is strong in computer science fundamentals and algorithms. You will work on real-world software problems. This role suits someone who enjoys bridging theory and practice: thinking carefully about problem formulation, writing clean and efficient code, and taking ownership of results end-to-end. ROLE OVERVIEW You will work within a small, cross-functional team to build software. You will be expected to think algorithmically, write quality code, and communicate your findings clearly to non-technical stakeholders. KEY RESPONSIBILITIES Analyse product and business requirements provided by the team. Select appropriate algorithms and architectures based on data characteristics, constraints, and performance requirements. Design and implement efficient data structures and algorithms. TOOLS & STACK Knowledge in these areas are preferred. Postgres and Mongo DB Machine learning and LLM frameworks Middleware and mobile concepts especially React-Native and Javascript/NodeJS Infrastructure: Basic familiarity with GCP or AWS Version control: Git QUALIFICATIONS Bachelor's degree in Computer Science is preferred Strong foundations in algorithms and data structures — able to reason about complexity and write efficient code. Good understanding of machine learning and LLM concepts Clear written and verbal communication; able to explain model behaviour and trade-offs to non-specialists.

We are academic researchers studying how software engineering work is organized and how it has changed over time, particularly in response to generative AI tools. We are looking to interview several software engineers about their professional experience. Any information you provide will be used as part of academic research outputs, and will not be attributed to your name or your company. Compensation: $30 fixed rate (i.e., $60/hour for a 30-minute Zoom interview) --- Who we're looking for - Currently working or recently worked (within the past 6 months) as a full-time software engineer at a company. Since we are interested in learning about your usage of AI within a software engineering team, we cannot accept individuals who do not have this form of recent experience. - Any level of seniority welcome What the interview covers - How engineering work is organized at your company (or past company) - How workflows have changed in response to AI - Your experience with tools and workflows Output - The qualitative interviews will be used to inform research hypotheses for the academic project - With permission, we would also include the information directly in the qualitative section of an academic paper, covering interviews with 30+ tech workers --- e.g., as paraphrased or anonymized quotes --- To apply, please briefly describe: 1. Your experience in software engineering roles, over the past 4 years -- company names, job titles held, and dates of positions held 2. Your availability for a 30-minute video call interview Thank you!

Project Description We are looking for a highly proactive digital advertising and AI operations specialist to help us grow and operationalize a niche healthcare directory and AI-powered marketing platform serving specialized providers across the United States and Canada. This is not a basic virtual assistant role. This is not a task-only ad management role. We are looking for someone with a digital advertising first background who can work with our emerging AI operating system to help build, improve, and automate the systems behind provider profile promotion, Meta ad campaigns, creative production, client reporting, AI chat summaries, and recurring revenue growth. The right person will help us turn our current ideas, workflows, campaigns, reporting, and AI tools into a more scalable operating system. We are looking for a go-getter who can think, build, test, recommend, improve, and help us move faster. What We Are Building We operate a specialized healthcare directory with provider profiles, membership tiers, local awareness campaigns, and a developing AI operating system. Our growth model includes: Provider directory profiles Profile upgrades Localized Meta ad campaigns Advanced profile-promotion campaigns AI Chat Assistants on provider profile pages Monthly transparent performance reports Archived AI chat summaries Website chatbot upgrade opportunities Workflow automation AI-assisted reporting Future operating-system tools for participating providers We need someone who can work with our team and AI OS architect to help build the operational layer around this business. What You Will Help With Digital Advertising & Campaign Support You will help build and improve repeatable Meta ad campaign workflows. This may include: Creating Meta/Facebook/Instagram traffic campaigns Helping structure profile-promotion campaigns Developing ad creative concepts and variations Writing or improving ad copy Helping organize campaign naming conventions Helping create UTM structures Reviewing campaign performance Identifying opportunities to improve campaign results Helping standardize how campaigns are launched and reported The goal is to make campaigns easier to launch, manage, measure, and scale across many participating providers. Creative & Video Support You should be comfortable helping with simple creative production and short-form content. This may include: Editing short videos for Facebook/Instagram ads Repurposing provider-submitted video content Creating social-ready video clips Adding captions, light branding, and simple visual polish Creating Canva or CapCut templates Helping create reusable creative formats Testing new messaging angles Thinking creatively about how to educate patients in a simple, trustworthy way You do not need to be a Hollywood-level video editor, but you should be capable of producing clean, usable digital ad creative. AI OS Workflow Development You will work with our developing AI operating system and our technical AI architect to help improve workflows. This may include: Identifying tasks that can be automated Helping design campaign setup workflows Helping design monthly reporting workflows Helping design client communication workflows Helping organize archived AI chat summaries Helping document repeatable processes Helping test AI-assisted workflows Helping identify what the OS should do next We are not looking for someone who waits to be told every step. We want someone who can look at a process and say: “This can be improved.” “This can be automated.” “This should be templated.” “This should be reported differently.” “This would help us move more clients to the next level.” Reporting & Client Transparency A major part of the role will be helping us build impressive monthly reports for participating providers. Reports may include: Campaign creative used that month Campaign messaging promoted Profile visits Phone clicks Website clicks Contact actions Other micro-conversions AI Chat Assistant activity Archived chat transcript summaries Common patient questions Common patient concerns Conversion improvement recommendations Suggested next steps We want our monthly reporting to feel much more transparent and useful than a standard digital marketing report. The right person will help us create reports that providers actually value. Growth & Upgrade Path Support We are building a product ladder that moves providers from basic directory visibility into deeper AI-powered services. You will help us improve the workflows that move clients from: Basic profile visibility To promoted profile campaigns To advanced profile campaigns To website AI Chat Assistant adoption To deeper AI operating system adoption This role requires someone who understands that campaigns, reporting, creative, automation, and client communication all work together to create recurring revenue growth. Who We Are Looking For We are looking for someone entrepreneurial, proactive, and curious. The ideal candidate: Has a strong digital advertising background Has experience with Meta/Facebook/Instagram ads Understands funnels, conversion paths, and client reporting Can think strategically about how to grow recurring revenue Has basic video editing or short-form creative experience Is comfortable using AI tools Is interested in workflow automation Can document processes clearly Can make recommendations without waiting to be told Is comfortable working with a developing AI operating system Likes building systems, not just completing tasks Can work independently and bring ideas to the table We do not need a pure software developer. We do not need someone who only follows instructions. We need a digital growth operator who can help us build the machine. Helpful Experience Experience with any of the following would be helpful: Meta Ads Manager Facebook/Instagram traffic campaigns Facebook/Instagram lead generation campaigns Google Analytics 4 Google Tag Manager Looker Studio GoHighLevel or similar CRM platforms Zapier, Make, n8n, or similar automation tools Canva CapCut Descript Adobe Premiere ChatGPT, Claude, or other AI tools AI workflow design CRM workflows Local business marketing Healthcare, wellness, or professional services marketing Directory or membership platform marketing SEO/GEO workflows Client reporting dashboards You do not need to know all of these, but you should be comfortable learning and experimenting. Initial Project Focus The first phase will likely focus on helping us build a repeatable workflow for profile-promotion campaigns. This may include: Reviewing our current workflow Helping define a repeatable Meta campaign structure Creating reusable creative templates Creating reusable reporting templates Helping map how the AI OS can assist with campaign setup and reporting Helping design the monthly report structure Identifying areas where the process can be automated Documenting the workflow so it can be repeated across many providers We will likely use one provider profile as the initial test case before expanding the workflow across more participating providers. What Success Looks Like Success in this role means: Campaign workflows become easier to launch Creative production becomes more repeatable Reporting becomes more transparent and impressive AI-assisted workflows become more useful Manual tasks become systematized Processes are clearly documented Upgrade opportunities become easier to identify Clients receive better insight into performance The business becomes less dependent on one-off manual execution The system improves every month Important Note This role is for someone who wants to help build and improve a growing system. We are not looking for a passive contractor who waits for a checklist. We are looking for someone who can bring ideas, spot gaps, improve workflows, and help turn a niche healthcare directory and AI-powered marketing platform into a scalable growth engine. How to Apply Please include a short response answering the following: What is your experience with Meta/Facebook/Instagram advertising? What is your experience with AI tools or workflow automation? What is your experience with video editing or ad creative? What is an example of a campaign, workflow, system, or process you helped improve? Why does this type of entrepreneurial digital advertising and AI operations role interest you? Please do not send a generic cover letter. We are looking for someone who can think, build, and help us grow.

We are a growing tax and bookkeeping firm located in Central Florida, serving individuals, small businesses, entrepreneurs, and international clients. We are looking for an AI Automation & Local SEO Specialist to help us improve client acquisition, automate repetitive processes, strengthen our online presence, and identify growth opportunities. This is an initial 2–3 month project with the possibility of a longer-term relationship if results are achieved. Our goals include: • Improving local SEO and Google Business Profile performance • Identifying opportunities to generate qualified leads • Implementing practical AI automations for our operations • Improving website performance and user experience • Automating lead follow-up and client communication • Recommending tools, systems, and processes that can help us scale efficiently • Helping us leverage AI to improve productivity and customer experience Important: We are NOT looking for someone to create social media posts or manage Instagram accounts. We are looking for a problem solver who can help us build systems, improve visibility, automate processes, and generate measurable business results. Preferred Qualifications: • Experience with Local SEO and Google Business Profile optimization • Experience with WordPress websites • Experience with AI tools, ChatGPT, OpenAI, Claude, AI agents, or business automation • Experience with lead generation systems and marketing funnels • Experience with CRM platforms and workflow automation • Experience working with accounting, tax, legal, financial, or other professional service firms is a plus • Spanish is a strong plus, since many of our clients are Spanish-speaking. Candidates who can communicate in both English and Spanish will receive special consideration. When Applying, Please Answer: 1. What similar projects have you completed? 2. What would be the first three improvements you would recommend for a tax and bookkeeping firm like ours? 3. What AI, automation, or SEO tools do you typically use? 4. Please provide examples of measurable results you have achieved for previous clients. 5. Why do you believe you would be a good fit for this project? We are looking for someone who can think strategically, execute effectively, and help us build systems that support long-term growth.

We're building an internal AI system that runs entirely on our own hardware (no cloud inference) against our own company data. We have a working proof-of-concept and want to get the architecture right. We need an experienced consultant to review what we've built, pressure-test our decisions, and tell us where we're wrong. This is an advisory/validation role first — we have someone doing the hands-on work; what we want is a senior second opinion to make sure we're building this the right way. What we're running today: Inference: RTX 5090 (32GB, Blackwell), Ubuntu 24.04, running llama-server (llama.cpp + CUDA) serving Gemma 4 31B-it (Q4_K_M GGUF) at a 262,144 context window. Also hosts our MCP retrieval server, PostgreSQL, and Qdrant. Embeddings: separate machine with an RTX 3060 running vLLM serving Qwen3-Embedding-4B. RAG: hybrid retrieval — Postgres full-text search + Qdrant semantic search with RRF fusion, exposed through a custom MCP server with tool-calling. Data: ingesting our own internal operational data into Postgres + Qdrant. Planned stack: LiteLLM for model routing, n8n for automation, Open WebUI for the interface, Langfuse for observability, Vault or Infisical for secrets, Keycloak/Azure AD for SSO. What we need help with: Validating our two-machine split (inference vs. embeddings) and whether our VRAM/context budget holds up under real load — specifically whether a 256K context window is real and performant on a single 32GB card or just nominal. Model selection and routing strategy: which open-weight models for which tasks, and how to structure LiteLLM routes. RAG quality: chunking, embedding dimensionality, hybrid search tuning, reranking — making retrieval actually accurate on messy real-world data. Sanity-checking our overall architecture and telling us our blind spots. You should have done: Stood up local LLM inference in production — llama.cpp/llama-server and vLLM, not just Ollama on a laptop. You understand GGUF quantization (Q4_K_M, IQ-series), KV cache, KV-cache quantization, and how context length maps to actual VRAM consumption. Real fluency in GPU sizing math — given a model, a quant, and a context window, you can tell us whether it fits on a given card and what throughput to expect. Bonus if you've worked with Blackwell / sm_120a. Built production RAG — vector DBs (Qdrant, pgvector), hybrid search, RRF fusion, embedding model selection, reranking, evaluation. Worked with agentic/tool-calling systems and ideally MCP servers. Know the open-weight model landscape (Gemma, Qwen, Llama, Mistral, Phi, Nemotron, Hermes) and their licenses well enough to advise. Production ops: systemd, Docker, model gateways (LiteLLM or similar), observability (Langfuse), secrets management, SSO.

We are seeking an experienced Workflow Automation Specialist to design and implement a scalable email automation system that streamlines the processing of inbound requests and outbound communications for Data Subject Rights Requests. Our team currently handles a moderate-to-high volume of incoming emails from multiple sources. Much of the workflow involves repetitive administrative tasks, including reviewing emails, extracting key information, manually logging data, and sending standardized responses. We are looking for a consultant/developer who can evaluate our existing process (combination of GMail & Monday.com), recommend the best tech to use, and build a solution that significantly reduces manual effort while maintaining accuracy, visibility, and auditability (this is key!). Full job & project details in the attached PDF