AI Quality Assurance Jobs

HealthGuard AI – Developed an AI-powered remote patient monitoring platform with patient/doctor portals, real-time health-vitals monitoring, clinical risk scoring, automated alerts, and secure healthcare data management. AI Interview Simulator – Built an AI-based interview practice platform that simulates real interview sessions, evaluates candidate responses, and provides intelligent feedback to help users improve their interview performance. EcoByte – Smart Food Waste Monitor – Developed a smart food-waste monitoring solution that helps track food waste, analyze waste patterns, and provide insights for reducing unnecessary food wastage. Retail Sales Analytics – Created an analytics solution for analyzing retail sales data, identifying sales trends, evaluatin...

Project SEAL — Handshake AI Platform: Handshake AI Project: Project SEAL Type of work: Advanced/adversarial AI prompt and web-research evaluation. Main objective: Create difficult prompts that can expose weaknesses in AI models’ web search, research, reasoning, and source-grounding abilities. Public descriptions from people working on SEAL describe it as moving beyond simply rating an existing answer and instead designing challenging research questions. Pay: Public reports currently indicate about $20 per completed task for the U.S./general SEAL project. One recent independent account specifically lists SEAL at $20/task. Task structure: It is per-task rather than hourly, so the amount of time required for a task can vary substantially. Workers have reported that some tasks can ...

AI-Enabled QA Tester / Coder (Contract, Hourly, India) Engagement type: Hourly contract, remote (India-based) Duration: ~2-3 weeks initial, possible extension through launch Start: ASAP — beta testing phase, targeting 9/5 app launch (pending app store review) Overview We're launching a mobile app and need a hands-on tester/coder to support beta testing, bug triage, and light fixes in the run-up to launch. You'll work closely with the core team, using AI-assisted tools to move fast on both testing and small code changes. Responsibilities Execute manual and AI-assisted test passes across core app flows (functional, regression, edge cases) ahead of beta release Log, triage, and reproduce bugs with clear repro steps for the dev team Fix minor bugs directly (front-end/UI iss...

I need a reliable partner who can deliver 50–100 successful Claude KYC verifications every day. Each verification has to be completed with a unique individual’s National ID Card and must include the full name, clear photo, and date of birth shown on the document. The process also requires a live face check carried out through Claude’s mobile-app interface. You will be responsible for sourcing the participants, guiding them through the mobile app, and ensuring the submission passes on the first attempt. I count a verification as “successful” only when Claude confirms it and the account is fully cleared. Please tell me: • How quickly you can ramp up to the daily volume • Your best price per approved KYC Consistency, data accuracy, and strict o...

I need a native Thai speaker to help me evaluate outbound phone calls generated by our AI voice system. Your core task is to place or receive scripted test calls, then report on overall AI voice quality with special attention to three areas: • Voice clarity • Accent accuracy • Response naturalness Whenever you notice issues—garbled audio, odd intonation, or robotic pacing—document them clearly so our engineers can refine the model. I will provide detailed call scenarios, logging templates, and access to the test lines. A good Internet connection, a quiet environment, and familiarity with common VoIP or soft-phone apps will make the process smoother. Beyond the calls, I also need you to help me with some line line testing mainly involves using your local...

As agreed in our earlier conversation, I need the existing AI solution reorganised into a clean-layered structure. You already have access to the current codebase and understand the functional flow; the task now is to separate core logic, data handling, and presentation into distinct layers so future updates can be made independently and testing becomes simpler. Please follow the architecture outline we discussed, keep interfaces consistent with the current public methods, and ensure every layer is fully documented in-line. When you deliver, I expect: • A refactored repository structured by layers • Updated dependency map and build instructions • A brief README explaining how each layer interacts Push the work to the shared repo and tag the release once all unit tests...

I need a set of carefully-crafted prompts that can trip up even the most advanced AI chatbots, revealing blind spots in their web-search abilities and step-by-step reasoning. You will analyse typical failure modes, then write queries (single shots and multi-turn conversations) that reliably expose those weaknesses without relying on obscure trivia or trick questions that a human would also miss.