QA Specialist – AI Product Testing & Support

📍remote
🕒Full-time
💰$30 – $42/hr
📅Posted July 1, 2026

Job Description

Job Title: QA Specialist – AI Product Testing & Support

Job Type: Contractor

Location: Remote

Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.

Key Responsibilities:

  1. Test and evaluate AI-powered video generator tools and related platforms, identifying issues and documenting findings.

  2. Design, execute, and optimize test cases based on feature requirements and user scenarios.

  3. Provide detailed, actionable feedback to developers and product managers for continuous improvement.

  4. Collaborate closely with the customer’s team to triage bugs and suggest enhancements, ensuring product excellence.

  5. Explore edge cases, uncovering subtle defects and usability issues through creative and rigorous testing methods.

  6. Monitor platform performance and reliability, simulating real-world usage conditions and workflows.

  7. Support troubleshooting, troubleshooting, and technical documentation as needed to facilitate knowledge transfer.

Required Skills and Qualifications:

  1. Background in quality assurance, testing, or a related discipline (formal QA experience not required).

  2. Portfolio showcasing products or side projects you’ve contributed to—demonstrating a “builder’s mindset.”

  3. Detail-oriented and inquisitive, with a passion for understanding how things work (and break).

  4. Interest or hands-on experience with AI tools/platforms, especially video generation solutions.

  5. Strong English communication skills for clear and concise feedback.

  6. Availability for 40 hours per week (Thursday–Thursday), including weekends.

  7. Based in the US or Canada (PT preferred; CT candidates must be open to PT hours).

  8. Reliable internet connection, good camera and microphone for interviews, and access to an iOS device.

Preferred Qualifications:

  1. Experience working with TypeScript in a testing or engineering context.

  2. Exposure to contemporary testing methodologies and tools.

  3. Technical mindset with the ability to quickly learn new platforms and workflows.

Additional Info:

If you have a passion for pushing boundaries, enjoy creative problem solving, and thrive in an innovative environment, this role offers the opportunity to directly influence the evolution of AI video generation products. Join the customer’s team and make an impact on the future of intelligent tools through your curiosity, rigor, and proactive mindset.

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About Micro1

Micro1 is building the essential infrastructure for the next generation of artificial intelligence, moving beyond the limitations of static datasets to create a dynamic ecosystem where models truly learn to think and act. At its core, the company understands that the path to frontier intelligence isn't paved with synthetic data alone; it requires the nuance, judgment, and contextual awareness that only expert human guidance can provide. By positioning itself at the intersection of human expertise and advanced reinforcement learning, Micro1 is tackling the hardest problem in AI today: teaching models not just to answer questions, but to reason through complexity and take meaningful actions in unpredictable, real-world environments.

This mission comes to life through Realm, Micro1's flagship training environment. Realm functions as a high-fidelity simulation ground where AI agents are immersed in scenarios that closely mirror the messiness of actual human workflows. Rather than relying on abstract benchmarks, Realm forces models to engage in agentic actions, multi-step decisions, digital navigation, coding, and problem-solving that require genuine comprehension. It is within these realistic sandboxes that world-class human data is generated, creating a continuous feedback loop where expert annotators observe, correct, and guide model behavior. This process does more than just fine-tune outputs; it fundamentally elevates a model's underlying reasoning architecture, ensuring that the intelligence developed in training holds up when deployed into the wild.

But training is only half the equation. Micro1 recognizes that the true test of an AI system lies in its production performance, which is where Cortex enters the picture. Cortex is a contextual evaluation platform designed to move beyond superficial accuracy metrics and provide a granular, real-time view of how agents behave in live settings. It doesn't just flag errors; it surfaces the underlying context behind failures, revealing why an agent struggled with a particular user intent or environmental variable. This insight is invaluable for engineering teams, as it transforms evaluation from a passive checkpoint into an active improvement tool. With Cortex, companies can catch degradation early, understand the nuances of edge cases, and feed those learnings directly back into Realm for retraining, creating a virtuous cycle of continuous advancement.

Ultimately, Micro1 is not merely a data lab or an evaluation tool it is a comprehensive intelligence engine that connects the entire lifecycle of model development. From the expert human feedback that sharpens raw capability, to the realistic RL environments that forge robust agentic behavior, to the contextual oversight that ensures reliability in production, Micro1 provides the integrated foundation that AI labs and enterprises desperately need. As the industry races toward truly autonomous systems, Micro1 stands as the critical bridge between laboratory breakthroughs and dependable, real-world impact, ensuring that frontier models do not just perform well on paper, but deliver genuine value in the complex, dynamic world they are meant to serve.