Statistician - AI Trainer

Job Title: Statistician - AI Trainer Job Type: Contract Location: Remote About Us: At micro1, we’re all about connecting skilled remote professionals with some of the best companies in Silicon Valley. Our mission is to offer a stable, competitive income, along with access to top industry opportunities—all in a flexible work setting with a range of great benefits. We’re here to help you grow in your career. We're proud to work with trusted partners such as Deel, Immutable, O’Gara, and LegalSoft. Job Summary: Join micro1 as a Statistician AI Trainer, where you'll be integral to connecting skilled remote professionals with leading Silicon Valley companies. Utilize your expertise to offer insightful statistical analysis in a flexible work setting. This role is available on a full-time or part-time basis, offering the flexibility to match your schedule. Key Responsibilities: • Use advanced statistical methods to analyze and interpret datasets, ensuring insights are actionable and relevant for AI training. • Design and implement statistical models to address complex challenges in AI and business contexts. • Collaborate with global, cross-functional teams to develop data-driven solutions and refine AI model performance. • Create detailed written reports and deliver compelling presentations to convey findings effectively to technical and non-technical stakeholders. • Maintain data quality and accuracy throughout the AI training process, ensuring labeled datasets meet high standards. • Stay updated on new developments in statistical methodologies, AI technologies, and data annotation techniques. • Develop an educational approach to other team members, fostering their growth in statistical and AI-related skills. Required Skills and Qualifications: • Proven expertise in statistical methods, including hypothesis testing, regression, and predictive modeling. • Strong proficiency in R and SAS for data analysis, visualization, and model building. • Experience in labeling and preparing datasets for AI training with a focus on accuracy and consistency. • Exceptional ability to articulate complex insights through clear written documentation and verbal presentations. • Ability to develop creative solutions for ambiguous or incomplete datasets. • Commitment to precision in statistical modeling and data integrity. • Experience in remote, cross-cultural, and collaborative environments, with the ability to manage multiple priorities effectively. Preferred Qualifications: • Master’s degree in Statistics, Mathematics, Data Science, or a related field. • Awareness of AI training processes, model evaluation, and data annotation tools. • Experience mentoring or leading analytical teams, particularly in AI-focused projects, it's nice to have.