English Speaking Generalist
Job Description
Role Title: English Speaking Generalist
Role Type: Contractor
Location: Remote
micro1 is engaging English Speaking Generalists to participate in a unique AI training and evaluation project for a customer. 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.
Scope of Work
Create diverse prompts across a wide range of topics to challenge large language models.
Submit identical prompts to both ChatGPT and Claude, recording your screen and microphone during the process.
Verbally articulate comparisons and evaluate outputs from both models in real time, highlighting strengths, weaknesses, and key differences.
Provide detailed, structured verbal feedback in clear American English, explaining your reasoning and preferences.
Maintain clarity and professionalism in both spoken and written communication throughout each recording session.
Interpret provided documentation to ensure consistent evaluation standards and accurate project delivery.
Collaborate closely with project guidelines to support continuous improvement of AI models.
Preferred Qualifications
High-level fluency in spoken and written American English, with clear pronunciation and the ability to communicate natural opinions and observations.
Experience using large language models such as ChatGPT, Claude, Gemini, or similar platforms.
Familiarity with AI evaluation tasks.
Comfortable recording screen and audio for extended evaluation sessions in a distraction-free environment.
Exceptional critical thinking, analytical reasoning, and attention to detail.
Background in data annotation, AI training, quality assurance, content evaluation, or research is advantageous.
Strong technical setup, including a reliable computer, stable internet connection, and ability to record high-quality audio and video without issues.
Please note that this job requires that you agree to share your screen and microphone while working, meaning your PII will be visible during this time.
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.