Communications & Fundraising Specialist (DevComm) — Freelance Contractor | Remote | $50–$70/hr | Starting ~5–10 hrs/week | CST availability preferred (9a–4p) I'm looking for a nonprofit fundraising communicator — someone who is comfortable with donor stewardship, grant writing, and advocacy communications, and who brings a deep, lived fluency in progressive movement work. If your background is primarily in social media content, general marketing, or brand work with no experience in the nonprofit or social justice world, this is likely not the right fit. —— WHAT THIS ROLE IS This is a contractor position supporting my consulting practice, which serves clients working in abortion access, information democracy, freedom of the press, and cybersecurity education. The communications I produce straddle two lanes simultaneously: high-stakes fundraising and sharp advocacy storytelling. The person I'm looking for thinks in terms of donor relationships, movement strategy, and good-looking visual deliverables. —— PRIMARY RESPONSIBILITIES — Short-form content drafting — newsletters, op-eds, talking points, and similar deliverables that require a distinctive activist voice and genuine command of hope-based, intersectional framing; urgent calls to action and relationship-centered stewardship that move people to organize and take action, not just inform them Platforms: MailChimp, WordPress, Canva, Google Docs — Grant writing — drafting and editing 6-to-7-figure grant applications, LOIs, and funder reports with precision, fluency in program language, and a strong narrative arc. This will be an area I own in the beginning of onboarding, then share with you as you get comfortable with each nonprofit and their mission. I'm not going to throw you into the deep end here. Platforms: Google Docs, Google Sheets, grantee portals (Fluxx, etc.) — 1:1 donor communications — highly personalized stewardship and cultivation writing for major donors and individual funders (not listserv blasts); this will also include documenting and tracking donor stewardship touch points — helping plan when to reach out to whom, how often, and with what relevant updates Platform: Gmail — Funder research — identifying and profiling prospective foundation and individual donors aligned with client missions; I have a funding brief template I need help filling out for each donor/funding opportunity; knowledge of the major progressive funding landscape is strongly preferred Platforms: Instrumentl, Google Alerts, Guidestar, fundraising listservs, 990s — Light admin support — file organization, tracking deadlines and deliverables; a few hours per week at most Platforms: Google Workspace, Google Calendar, Instrumentl —— WHO YOU ARE You have genuine, demonstrable experience in the nonprofit and progressive advocacy worlds. You're familiar with how the communications department often straddles the fundraising department, and you are comfortable oscillating between the two. You bring: — Fluency in the language of intersectionality, feminist movement work, and progressive advocacy — not as buzzwords, but as a framework you actually think and communicate in. You know who Kimberlé Crenshaw is. — Hope-based communication instincts — you know how to write toward a vision, not just against a threat. — Comfort in tech-adjacent fields — cybersecurity, information democracy, the threat of AI, and digital rights have a learning curve; you're not intimidated by it, and ideally you've written in or around these spaces. — Knowledge of the major progressive funding ecosystem — you recognize the names, the priorities, and the culture of the foundations and intermediaries doing the most in this space. — A history of authentic major donor relationships — you've done the relationship work, not just the writing work. (I'm not expecting you to come with donor contacts and their emails — I just want to know you're comfortable helping a nonprofit build those ties authentically.) —— ON AI I need applicants to be upfront about the use of AI and LLMs. The work of my clients is often highly confidential, and given the nature of the fields I specialize in, I am very intentional about preventing Big Tech and AI companies from harvesting sensitive data. If you regularly use AI as a drafting or editing tool and have refined that workflow to the point where the final product is indistinguishably yours — that's not a disqualifier. We can discuss comfortable boundaries around where and when to use it. However, we cannot have work that doesn't reflect your own ability at its core. Please do not submit AI-generated writing samples or application materials. We're evaluating your instinct, your ear for activist language, and your ability to write in service of a cause — we'll be able to tell. —— WHAT TO SUBMIT Your application and samples should prove four things: 1. You know how to write persuasively. 2. You're well-versed in progressive and intersectional activism. 3. You have a fundraising background, preferably in or adjacent to the areas my clients work in. 4. You can create professional, eye-catching visual materials. If you're curious what I mean by that last one, you can see some of my work here: www.whatwesay.org/samples/ Whatever supplemental materials help prove the above are welcome. I will say — I'm a sucker for a good cover letter. Files should be submitted as PDFs. If files are large, upload to a shared drive, provide the link, and ensure permissions are open to outside viewers. —— ABOUT ME Hi! My name is Bevyn Howard. I live in Austin, and I am desperately hoping to turn Texas blue. My background is in Rhetoric and Writing — and since I didn't want to become a lawyer, I decided to use my persuasive skills to advocate for social justice missions I care deeply about. These include fighting racism, sexism, authoritarianism, and systemic power imbalances. As an undergrad, I completed my thesis on "White Feminism" and the ways white women perpetuate racism within the feminist movement. I left my previous full-time position due in part to burnout, so mental health and a flexible, sustainable working relationship matter deeply to me. I'm a WNBA fan, a distance runner, a weightlifter, and a cat parent to two Siamese who will absolutely make an appearance on video calls. Sorry in advance. Anyone who works with me is expected to have opinions, push back when they have a different idea, appreciate dry humor, and know that I value them for who they are — not just what they produce. More on my background: whatwesay.org/about/

Social Content Coordinator (Temp-to-Hire) Location: New York (U.S.) Type: Contract-to-Hire, Full-Time Experience: Recent Graduate / 0–2 Years About Glance Glance is building the future of shopping. We're an AI-powered shopping platform that helps people discover products in a way that feels intuitive, visual, and inspiring. Think fashion editorial meets technology. We're looking for a Social Content Coordinator who spends more time on Pinterest than they'd like to admit, saves TikToks daily, knows what's trending before everyone else, and has a strong eye for style, imagery, and internet culture. This is an ideal opportunity for a recent graduate looking to break into fashion, content, social media, editorial, or brand marketing. You'll work at the intersection of fashion, shopping, technology, and culture, helping shape how a next-generation shopping platform shows up online. The Role The Social Content Coordinator is the hands that turn ideas into content. Using existing templates, you'll source imagery, lay out content, and assemble channel-ready posts that bring Glance's editorial vision to life. You'll help transform creative direction, copy, trend research, and inspiration into finished social assets. Working closely with our Social & Influencer Manager, Editorial Director, and Brand Editor, you'll help bring monthly editorial themes to life across Instagram, TikTok, Pinterest, and Substack. With a sharp eye for style and cultural relevance, you'll source imagery, curate visual references, assemble content using existing templates, organize assets, and develop creative briefs for Reels and TikToks. You'll help turn editorial direction, copy, and inspiration into polished, channel-ready content. This role is ideal for someone who loves fashion, internet culture, mood boards, and visual storytelling, and wants a front-row seat to building a modern consumer brand. Owns - Assembling content into channel-ready social posts using approved creative direction, imagery, and copy - Sourcing imagery, products, references, screenshots, and inspiration for social content - Creating carousel posts, Stories, and visual storytelling assets using existing Canva templates - Maintaining and updating monthly content calendars, ensuring content is planned and organized across channels - Developing creative briefs for Reels and TikToks, including hooks, visual references, shot ideas, and trend inspiration - Organizing and maintaining the team's content and asset library - Surfacing trends, creators, aesthetics, and cultural moments that inspire future content - Supporting content creation from concept through handoff to publishing Bonus Points If You... - Can edit short-form video using Instagram/TikTok native tools, CapCut, or similar tools - Have experience creating TikToks or Reels for yourself, a brand, or an internship - Run a Pinterest account, mood board account, or aesthetic Instagram - Have a strong interest in fashion, shopping, or consumer trends What We're Looking For - Recent graduate or 0–2 years of experience - Excellent taste and visual judgment - Strong Canva skills - Deep familiarity with Instagram, TikTok, and Pinterest - Organized, detail-oriented, and dependable - Curious about fashion, shopping, AI discovery, and consumer behavior - Excited to learn, contribute ideas, and grow within a fast-moving brand team You'll Thrive Here If... - Your camera roll is mostly screenshots of outfits, campaigns, and TikToks - You know exactly what "quiet luxury," "office siren," and "tomato girl summer" mean - You instinctively save content and think, "we should do our version of this" - You enjoy turning inspiration into polished content - You want a front-row seat to building a modern consumer brand from the ground up This role is designed as a contract-to-hire opportunity, with the potential to grow into a permanent position as the team expands. Payment Terms This role is structured as a monthly retainer at $700 USD per month, paid at the end of each month through Upwork. The contract is intended to be a rolling month-to-month engagement.

Mission Help Tolu complete 100 qualified practitioner interviews within the next 90 days while building a scalable customer discovery engine that continues generating interviews long after the contract ends. This isn't a traditional marketing or sales role. Your mission is to build the systems, processes, outreach strategy, and relationships that help Tolu gain a deep understanding of the practitioners we're building for. We're looking for someone who doesn't just execute outreach—they build systems, create momentum, and take ownership. --- What You'll Build Customer Discovery Engine * Build and own Tolu's customer discovery pipeline. * Develop a repeatable outreach strategy that consistently generates qualified practitioner interviews. * Research and source practitioners who match our Ideal Customer Profile (ICP). * Build outreach campaigns across Instagram, LinkedIn, email, professional communities, podcasts, conferences, and other relevant channels. * Continuously improve messaging based on market feedback and conversion rates. CRM & Pipeline Management * Own and maintain our customer discovery pipeline. * Build and optimize workflows using HubSpot CRM, Calendly, and ClickUp. * Create automations that reduce manual work and improve follow-up consistency. * Ensure every lead, conversation, follow-up, and interview is documented and actionable. Process & Automation * Build scalable lead generation systems—not just manual outreach. * Design workflows that can continue to operate as Tolu grows. * Identify bottlenecks and recommend improvements. * Continuously optimize outreach, follow-up, reporting, and scheduling. Customer Discovery * Coordinate practitioner interviews. * Capture practitioner pain points, objections, unmet needs, and product feedback. * Produce concise weekly reports summarizing pipeline health, outreach performance, conversion metrics, and key market insights. --- 90-Day Objectives By the end of the engagement, you should have: * Helped Tolu complete 100 qualified practitioner interviews. * Built a scalable customer discovery pipeline. * Implemented CRM workflows and automations. * Established repeatable outreach processes. * Created documentation that allows the system to continue scaling. Success will be evaluated based on ownership, execution, quality of systems built, measurable progress toward the 100-interview goal, and the long-term value created for the business—not simply activity or hours worked. --- Required Experience We're looking for someone who has already done this before. You should have experience: * Building outbound lead generation pipelines from scratch. * Designing outreach workflows and automations. * Managing CRM pipelines. * Booking discovery or sales calls. * Working independently with minimal supervision. * Improving systems instead of waiting for instructions. Preferred Tools Experience with: * HubSpot CRM * Calendly * ClickUp Experience integrating or automating workflows between these platforms is highly preferred. --- Who Will Thrive in This Role This role is for builders. Working at an early-stage startup requires a mindset of adaptability. Priorities evolve, opportunities emerge unexpectedly, and plans change as we learn from the market. Success requires comfort with uncertainty, flexibility, resilience, and the ability to stay focused on outcomes while navigating constant change. You naturally take ownership. You don't wait for instructions—you identify bottlenecks, propose solutions, experiment with new ideas, and build systems that move the business forward. You're energized by creating momentum. You understand that customer discovery isn't about sending messages—it's about building meaningful relationships, earning trust, and uncovering insights that shape the company's future. Most importantly, you're excited about building something from the ground up. You enjoy solving problems, creating scalable systems, and making a measurable impact. You thrive in environments where initiative is valued more than titles and where your work directly influences the company's success. --- First 30 Days By the end of your first month, we expect you to have: * Built and organized our customer discovery pipeline. * Configured HubSpot, Calendly, and ClickUp workflows. * Implemented outreach automations. * Launched outbound outreach campaigns. * Established weekly reporting. * Begun consistently booking practitioner interviews. --- About Tolu Tolu is building AI infrastructure for holistic healthcare—helping practitioners investigate root causes, synthesize complex health histories, and deliver more personalized care for women. We're still early, which means every conversation matters. The work you do will directly shape our product, our customer discovery strategy, and how we grow as a company.

Turnitin Similarity & AI Detection Report for Master's Thesis (106 Pages) Project Description I have a completed Master's thesis (approximately 106 pages in PDF format) and need a freelancer with legitimate access to Turnitin to generate the official originality reports. The thesis is my own original academic work and has not yet been submitted for final university review. I would like to review the Turnitin results before submitting it to my university so that I can identify and address any potential issues. --Scope of Work Upload my thesis PDF to Turnitin. Generate all available reports, including: Similarity / Plagiarism Report AI Writing Detection Report (if available through your Turnitin license) Any additional originality or integrity reports available through Turnitin Provide the complete reports in PDF format and/or screenshots showing all relevant results. Important Requirements Confidentiality is mandatory. The thesis contains unpublished academic research and must not be shared, distributed, reused, published, copied, stored, or disclosed to any third party. I may request a signed NDA before sharing the document. Please confirm whether your Turnitin account allows submissions using "No Repository" mode. Preference will be given to freelancers who can ensure that the document is NOT stored in the Turnitin repository. The document must be submitted using Turnitin's "No Repository" mode. Please do not apply unless you can confirm that the thesis will NOT be stored in the Turnitin repository or any institutional database. --Please specify the following in your proposal: Your access type (university, institution, educational organization, etc.). Whether AI Detection is available through your Turnitin account. Whether "No Repository" submission is available. Your estimated turnaround time. Your fixed-price quote. --Clarification I am not requesting editing, writing, proofreading, academic assistance, or changes to the thesis. I only require originality reports generated from my own completed thesis for self-review before university submission. --Deliverables Complete Turnitin Similarity Report Complete AI Detection Report (if available) Exported reports and/or screenshots showing all findings Confirmation that "No Repository" mode was used during submission Summary of any limitations or unavailable Turnitin features, if applicable --Preferred Qualifications Prior experience generating Turnitin reports for theses, dissertations, journal papers, or academic research documents Ability to complete the task within 24–48 hours Strong communication and attention to confidentiality requirements --Budget Please provide your fixed-price quote and estimated turnaround time.

We’re looking for experienced AI professionals to provide short, original quotes, practical insights, and light content feedback for our educational articles and guides. Your real-world perspective will help make the content more accurate, useful, and trustworthy for readers. The initial project involves reviewing and contributing to one guide, with the possibility of ongoing work. Example guide: onlinemastersdegrees.org/best-programs/information-systems/ **What You’ll Do:** * Review AI education content for accuracy and clarity * Leave light feedback through Google Docs comments * Provide brief expert quotes, usually 2–5 sentences each * Offer practical insights based on real-world AI, machine learning, or data science experience * Help add context around AI careers, degree programs, certifications, skills, tools, and industry expectations **For the Initial Project:** We’re looking to add approximately 3–4 short expert quotes to one AI guide. Quotes should be original, practical, and based on your professional experience. **Details:** * $30 per page * Pages typically take 20–30 minutes * Clear guidelines and examples provided * Contract, flexible, and ongoing work **Relevant Experience May Include:** * Artificial intelligence * Machine learning * Data science * Generative AI * Natural language processing * Computer vision * AI product development * MLOps * AI governance, risk, or compliance * Responsible AI * AI education or workforce development **In your submission, please include:** 1. A few sentences about your AI background, professional experience, and areas of expertise 2. Any relevant degrees, certifications, credentials, or notable AI projects 3. Link to your LinkedIn profile To help us sort through automated submissions, please put the name of Shopify’s CEO at the top of your submission.

We are seeking a Machine Learning Engineer with a strong background in Computer Vision and ML fundamentals. The ideal candidate will have experience in healthcare and automotive domains. This role requires someone based in the US, with the ability to work for 6+ months. The candidate should be able to integrate into our team seamlessly and contribute to ongoing projects effectively. [IMPORTANT] In order to verify your language preference. please attach your 1 or 2 mins intro video.

Job title: Researcher — Automated Cataloging for Mixed Media Collections (Barcode + Location Tracking) Category: Market Research / Research & Analysis Type: Fixed-price · Budget: $2,000 · Duration: 6 weeks · Experience level: Intermediate Overview We’re looking for a curious, detail-oriented researcher to produce a structured, professional research report (~10 pages) on the best available tools and workflows for cataloging mixed physical media collections (vinyl, CDs, books, films, video games, etc.) using barcode scanning or other direct-entry technology. Key Research Question What is the best physical media cataloging software with barcode scanning (or other available technology) and location tracking for mixed media collections? Context Collectors of physical media require an efficient method to catalog items. Manual data entry is time-consuming and prone to error. Barcode scanning presents a solution, but the optimal workflow depends on the collection’s size, the technical requirements of the database, and the need to catalog items with or without standard Universal Product Codes (UPCs). Objective Identify and evaluate available methods, products, programs, and other resources for creating a comprehensive digital inventory of a physical media collection using barcode scanning or other available technology for direct entry into a database. A user should be able to quickly identify the location and location history (which user had it last and where) of the media by querying an application. Also, provide a cost analysis of each option and how it scales based on collection size. What You’ll Do Conduct independent research on the assigned topic. Gather, review, and summarize academic papers, industry reports, and expert commentary. Synthesize findings into a clear, well-organized report following our standard Research Report Template. The report should reflect independent thinking, strong synthesis, and clear communication — not just a data dump. Who You Are Strong writing and analytical skills. Comfortable reading academic papers, summarizing complex ideas, and identifying key themes. Curious, self-directed, and able to manage your own workflow and deadlines. Excellent written English and ability to cite sources clearly. (Bonus) Familiarity with AI tools like ChatGPT, Elicit, or Perplexity for research support. Requirements Complete one ~10-page report within 6 weeks. Follow our provided report structure and formatting. Provide full references for all sources used. Disclose and fact-check any AI-assisted work per template guidelines. Meet weekly for 30–60 minutes to provide project updates to Advisors. Compensation & Timeline Pay: $2,000 per completed report Timeline: 6 weeks from initiation of project engagement

I’m looking for an AI Engineer to help build an automated red-teaming product based on open-source models. This is a short-term, hands-on project for around 2 months, with an expected commitment of about 20 hours per week. The goal is to build a specialized red-teaming engine that can generate adversarial prompts across different risk domains, severity levels, and attack strategies — then automatically run those prompts against target AI models to identify bad cases, failure patterns, and safety gaps. 🔍 What you’ll work on Build red-teaming systems on top of open-source LLMs, including fine-tuning, prompt optimization, evaluation pipelines, and model orchestration. Design automated prompt generation workflows across risk domains such as self-harm, hate, violence, sexual safety, misinformation, fraud, cyber, and other high-risk areas. Generate prompts across different harm levels, from benign edge cases to policy-borderline and clearly unsafe scenarios, while maintaining structured taxonomies and evaluation criteria. Run automated tests against target models such as Gemma, Llama, Qwen, or other open-source / closed-source models to surface jailbreak patterns, over-refusal, under-refusal, and policy inconsistencies. Build feedback loops that turn model failures into stronger red-team prompts, improved eval sets, remediation recommendations, and continuous safety testing. 🧠 What I’m looking for Hands-on experience with open-source LLMs, fine-tuning, LoRA / QLoRA, RAG, model evaluation, and LLM inference pipelines. Familiarity with AI safety, red teaming, adversarial prompting, jailbreaks, safety evals, or trust & safety systems. Ability to build end-to-end systems, including data pipelines, model serving, eval harnesses, scoring, dashboards, and automation workflows. Bonus if you’ve worked on model safety, content moderation, policy evaluation, agentic testing, or automated eval infrastructure. ⏳ Project setup Duration: around 2 months Time commitment: about 20 hours per week Format: flexible / remote-friendly Stage: early-stage build, from 0 to 1 🚀 Why this is interesting This is not about manually writing red-team prompts one by one. The goal is to build a scalable system that can continuously generate, test, categorize, and learn from model failures — helping teams understand where AI models break, why they break, and how to improve them. If you enjoy working with open-source models, AI safety, red teaming, and fast 0-to-1 product building, I’d love to chat. Feel free to DM me if this sounds like you, or if you know someone who might be a good fit.

We are hiring an AI Engineer with strong hands-on experience building and shipping real AI products. Requirement: If you don't have a GitHub profile to share, this role is not a fit. What we’re looking for: • Strong experience in AI/ML engineering • Ability to build, test, and deploy production-ready AI systems • Practical experience working on real-world AI projects To apply: Please share your portfolio, past AI projects, and relevant work samples. Applicants without portfolio will be ignored.

I'm an independent inventor (Massachusetts LLC, patent-pending) developing a portable sports-training device that uses a projected laser line and a global-shutter mono camera to measure the angle of a small metal striking surface at the moment of impact. Target accuracy is ±0.5° on the angular measurement, with measurement latency under 2 seconds, and direct-sunlight robustness as a key engineering risk. This is an end-to-end Phase-0 feasibility engagement. The working assumption is laser-line + global-shutter mono camera with bandpass filtering, but I want your read on whether that's the right approach for this accuracy and these conditions. I have a strong lean, not a closed decision, and I'd rather you push back early than build something the wrong way. Once we align on the approach, you'll spec the bench rig (camera model, laser modules, filters, optics, baseline geometry, target mounting); I'll source the parts from your BOM and either ship the components for you to assemble or assemble and ship a built rig, your preference, whichever fits your workflow best. From there you capture data under controlled and outdoor conditions, develop the detection and calibration pipeline, and deliver a working codebase plus a written accuracy/robustness report. Hardware is returned to me on completion (or retained for a follow-on engagement if we both want to continue). What you'll deliver: 0. Approach review + rig spec. A short written deliverable (2–4 pages) covering: (a) your read on the proposed sensing approach, affirm + refine, or argue for an alternative with reasoning and a specific recommendation; (b) a bench-rig BOM with specific parts (camera model, laser modules, bandpass filters, optics, mounting, target plate) sized for the working distance and accuracy spec; (c) laser-to-camera baseline geometry with your reasoning, and recommended calibration targets. I'll source the parts from your BOM. We'll decide together whether I ship components for you to assemble or assemble and ship a built rig, whichever you'd rather. 1. Rig assembly or acceptance + baseline capture. Receive shipped parts (or built rig), assemble or validate alignment as appropriate, confirm basic optical performance against the M0 spec, then capture a baseline dataset (~200 frames per configuration) under controlled indoor lighting. Photos of the as-built rig and a setup diagram included. 2. Detection pipeline. A Python/OpenCV module that extracts the projected laser line with sub-pixel accuracy from frames at 60–100 fps. Sub-pixel line fit (Steger, Gaussian, parabolic) or weighted centroid, your choice with a short justification. 3. Calibration framework. Documented procedure and accompanying script for mapping pixel displacement to angular displacement of the target plate, accounting for camera intrinsics, lens distortion, and laser-to-camera baseline geometry. Validation against ground-truth rig angles. 4. Robustness data capture + analysis. Re-capture under (a) bright indoor with mixed daylight and (b) direct outdoor sunlight, for both laser variants with and without matched bandpass filters. Quantified accuracy + jitter per condition. 4–8 page PDF report comparing visible-red + bandpass vs. near-IR + matched bandpass. 5. Stretch (optional milestone): First cut at deriving angle-at-impact from a short pre/post-impact image sequence, pseudocode or working prototype, whichever fits the time budget. Deliverable format: Well-commented Python module(s) in a Git repo I'll provide, a README that walks a junior engineer through running the pipeline end-to-end, the captured datasets (raw frames + ground-truth angles), and a PDF report. What I'm looking for: - Comfort giving an unambiguous engineering recommendation: "use this approach with these parts" or "don't and here's why, and here's what to do instead." Phase 0 succeeds or fails based on the judgment in Milestone 0 as much as the algorithm in later milestones. - 5+ years of practical computer vision work, with shipped projects involving line/edge detection, sub-pixel feature localization, or structured-light triangulation. - Comfort doing your own benchtop work; mounting, alignment, basic optics handling. - Strong Python + OpenCV; comfort with NumPy/SciPy for the line-fit and calibration math. - Camera calibration experience (OpenCV calibrateCamera, distortion coefficients, projective geometry). - A workspace where you can run an outdoor sunlight test safely and legally with a Class-2 visible-red laser and a Class-1 IR laser module. - Bonus: prior work with laser triangulation, structured-light scanning, or sports/motion-tracking applications. - Bonus: experience deploying CV pipelines to Raspberry Pi or ESP32-S3-class hardware (potential follow-on scope). Engagement: - Fixed-price (preferred): $5,000–$7,500 total, paid across 5 milestones (approach review + rig spec → baseline capture → detection pipeline → calibration → robustness report). - Hourly alternative: $70–$140/hr with a 75-hour cap, then re-scope. - Duration: 5–7 calendar weeks (approach-review phase happens up front; ~1 week round-trip shipping after rig build). - Weekly 30-min check-ins (US Eastern preferred; flexible). - Hardware: shipped to you fully insured at my cost. Returned (insured, my prepaid label) on completion, or retained for follow-on engagement. - Possible follow-on: porting the pipeline to Raspberry Pi / ESP32-S3, IR laser variant tuning, integration support for the next prototype phase. Before we start: Short NDA + IP assignment signed before I ship the kit, share the technical design doc, or grant repo access. Upwork's standard terms transfer IP on payment, but I want a standalone signed PIIA on file as well, routine, less than 1 hour of your time. To apply, please include: 1. 1–2 examples of prior CV work involving sub-pixel localization, line fitting, or laser/structured-light triangulation. Paragraph + GitHub or paper link. 2. Three or four sentences on your approach to extracting a sub-pixel laser line centroid from a single frame. 3. Confirm you have a workspace where you can run both indoor and outdoor (direct-sunlight) image captures with a small bench rig, and that you're comfortable assembling the shipped kit. 4. Whether you prefer fixed-price or hourly, and your proposed milestone breakdown. 5. Without committing to a final answer until you've seen the full spec, a quick take: do you think projected laser line + global-shutter mono camera is the right sensing approach for ±0.5° angular accuracy at 60–100 fps under direct sunlight, or would you steer me toward a different approach? Two or three sentences. Looking forward to talking with strong candidates. Jason