A complete application in a minute — tailored resume and cover letter, ready to send.
micro1 seeks a remote, U.S.-based Senior Business Analyst for a part-time contractor role focused on AI data training and evaluation. You will work with large business data sets, ensuring data quality and privacy compliance while providing expert feedback on AI responses and analytics tasks.
The role emphasizes QA practices, data analysis, and meticulous attention to detail, with experience handling PII considered a plus. Candidates should be based in the U.S. and able to work part-time.
Role Title: Senior Business Analyst
Role Type: Contractor
Location: Remote, US Based only
Job Summary: We are seeking seasoned U.S.-based Senior Business Analysts for a part‑time role at the forefront of AI. This opportunity is for accomplished data professionals who want to help shape how advanced AI is trained, evaluated, and applied to real‑world business data work. We are especially interested in analysts with deep experience working with large business data sets, strong quality assurance practices, and a meticulous eye for detail. Experience handling personally identifiable information (PII) is a plus.
Required Skills Personal Identifiable Information
Quality Assurance
Attention to Detail
Data Analysis
Business Data Sets
About micro1
micro1 is the leading AI data lab for training frontier models and evaluating AI agents. Experts contribute their diverse subject matter knowledge across domains such as finance, healthcare, STEM engineering, and more. micro1 transforms that real‑world expertise into high‑quality training data, evaluations, and feedback loops that improve how AI systems learn, reason, and perform.
Our platform identifies and vets top talent through an AI recruiter, enabling high-quality expert contributions at scale. We aim to enable 1 billion people to do meaningful work by applying their expertise to AI. As our global expert network grows, micro1 is building the human intelligence layer for frontier AI.
Review data sets for PII, flagging sensitive information and following data privacy best practices.
Review and assess AI responses to data and business analysis scenarios, providing expert feedback to improve accuracy and precision.
Apply QA practices to validate data quality, flag inconsistencies, and verify the correctness of analytical results.
Create objective evaluation frameworks and grading criteria to assess AI performance on analytical tasks.
Collaborate with product and research teams to refine data, guidelines, and best practices for AI-driven analytics.
Required Skills and Qualifications: