Document Reviewer
Job Description
Job Title: Document Reviewer
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.
Key Responsibilities:
Carefully review large volumes of structured and unstructured data, ensuring accuracy and completeness.
Identify and flag issues related to data quality, consistency, and potential risks involving Personal Identifiable Information (PII).
Annotate, classify, and, where necessary, redact sensitive information to maintain privacy and compliance standards.
Follow strict guidelines, taxonomies, and workflow processes for data categorization and validation.
Perform quality assurance (QA) checks to verify data integrity and validate outputs.
Maintain detailed records of reviewed documents and actions taken to ensure traceability and accountability.
Collaborate with the customer's team, providing clear and concise written and verbal communication about findings and recommendations.
Required Skills and Qualifications:
Proven experience in document review, auditing, annotation, redaction, or data classification at scale.
Exceptional attention to detail with a high level of accuracy in repetitive tasks.
Familiarity with handling and protecting Personal Identifiable Information (PII).
Strong written and verbal communication skills, with the ability to document findings and communicate effectively with team members.
Demonstrated ability to follow complex guidelines and adhere to established taxonomies.
Experience performing QA or validation work on large data sets.
Ability to balance efficiency with precision in a remote work environment.
Preferred Qualifications:
Background in legal, compliance, privacy, auditing, compliance or information security domains.
Prior experience supporting data-driven AI or machine learning projects.
Comfort with collaboration tools and digital workflow management 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.