Statistics Expert (PhD)
Job Description
Role Title: Statistics Expert (PhD)
Role Type: Contractor
Location: Remote
micro1 is engaging Statistics Experts (PhD) to contribute their advanced subject-matter expertise to a customer's AI training initiative. 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
Produce authoritative, accurate, and well-explained responses to advanced statistics queries aimed at improving AI model performance, emphasizing clarity and depth over score-based metrics.
Review and evaluate statistics data, queries, and solutions to ensure accuracy, completeness, and alignment with current best practices.
Develop comprehensive explanations and justifications across both foundational and specialized statistics concepts, tailored for a range of technical backgrounds.
Collaborate with annotation leads and project managers to refine project requirements and maintain high standards for response quality.
Create exemplary "golden responses" that serve as benchmarks for future AI model outputs, ensuring reliability and consistency in training datasets.
Document the context and rationale behind answers to enhance model interpretability and facilitate future annotation efforts.
Participate in remote discussions or workshops to clarify objectives and maintain alignment within the contributor community.
Preferred Qualifications
PhD in Statistics or a closely related field with demonstrated expertise in both core and advanced statistical topics.
Exceptional written and verbal communication skills, with proven ability to convey complex statistical concepts with precision.
Experience creating, reviewing, or publishing scientific, technical, or educational materials in statistics (e.g., research articles, curricula, industry reports, peer reviews).
Familiarity across various sub-disciplines of statistics, such as probability theory, statistical inference, Bayesian methods, biostatistics, experimental design, or computational statistics.
Strong attention to analytical detail and a commitment to methodological rigor.
Experience with MySQL and advanced data analysis techniques.
Background in AI, data annotation, or digital content development projects is a plus, though not required.
Demonstrated ability to collaborate effectively in remote and cross-functional project environments.
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.