Scope of Work Review, analyze, and provide feedback on simulated retail scenarios and operational workflows to ensure authenticity and accuracy. Contribute insights on best practices, industry standards, and compliance requirements across retail trade subdomains. Create, evaluate, and refine written content related to retail operations, sales processes, and customer service interactions. Assess and validate the logical consistency of retail problem-solving methods and decision-making processes. Participate in structured discussions to clarify terminology, operational nuances, and context-specific challenges within the retail environment. Deliver actionable recommendations for improving AI outputs based on real-world retail expertise. Collaborate remotely using strong written and verbal communication skills to ensure clear, effective knowledge transfer. Preferred Qualifications Minimum of 5+ years of experience in retail trade, operations, or relevant subdomains (e.g., pharmacy operations, retail supervision, general management, private investigation in retail). Demonstrated ability to articulate complex operational processes and scenarios clearly in both written and verbal formats. Proven track record of implementing or advising on retail best practices and compliance requirements. Strong analytical skills with attention to detail in reviewing and validating workflows, procedures, and case studies. Experience working collaboratively in remote or distributed engagements. Familiarity with technology-driven solutions or platforms used in retail is a plus. Proactive approach to problem-solving and a commitment to high-quality, real-world accuracy in all deliverables.

About micro1

micro1 is engaging Software Engineer — Open Source Contributions experts to participate in an impactful customer project focused on high-quality, open source software development. 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.