Data Analyst (Excel)
Job Description
Job Title: Data Analyst
Job Type: Contractor
Location: Remote
Required Skills: Microsoft excel, Data analysis, Data cleaning, Data validation, Data visualization, Reporting, Attention to detail, Written communication, Verbal communication, Stakeholder collaboration, Business acumen, Problem-solving, Identifying data inconsistencies, Cross-functional teamwork
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:
Conduct in-depth data analysis using Microsoft Excel to extract actionable insights and support decision-making across teams.
Collaborate with project stakeholders to understand data requirements and translate them into meaningful analyses.
Review, clean, and validate datasets to ensure accuracy, consistency, and integrity.
Develop clear, concise reports and visualizations to communicate findings to both technical and non-technical audiences.
Identify trends, anomalies, and opportunities in complex datasets, contributing to strategic initiatives.
Document methodologies, results, and recommendations with meticulous attention to detail.
Contribute expertise to enhance data-driven decision-making processes within the customer's team.
Required Skills and Qualifications:
Proven experience performing data analysis in a business environment using Microsoft Excel as the primary tool.
Exceptional attention to detail and accuracy in data processing and reporting.
Strong written and verbal communication skills, with the ability to clearly articulate analytical findings.
Demonstrated ability to work collaboratively across teams to drive business outcomes.
Solid understanding of Excel functions, formulas, and data visualization tools.
Proficiency in identifying data inconsistencies and implementing corrective measures.
Experience working in fast-paced, data-driven organizations.
Preferred Qualifications:
Experience supporting cross-functional teams with data insights to inform business strategy.
Background in presenting analytical outcomes to diverse audiences.
Familiarity with additional data analysis tools or business intelligence platforms.
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.