Data engineer Jobs in Riverside, CA

Data Scientist

Required Skills

statistics & Mathematicsdata handlingdata collectingdata analysis and modelingdata visualizationdata clesningprogramming

About micro1

micro1 connects domain experts to the development of frontier AI models. Real-world expertise is turned into training data, evaluations, and feedback loops that improve how models perform. AI labs and enterprises use micro1 to train models and build reliable AI agents through advanced evaluations and reinforcement learning environments. Experts contribute directly to how AI systems learn, reason, and perform across domains like finance, healthcare, engineering, and more. Our platform identifies and vets top talent through an AI recruiter, enabling high-quality contributions at scale.

Our goal is to enable 1 billion people to do meaningful work by applying their expertise to AI. We’ve raised $40M+ in funding, and our AI recruiter has powered over 1 million AI-led interviews as our global network of experts grows into the human intelligence layer for AI.

Job Description

Job Title: Data Scientist

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. No prior experience in AI is required — your domain knowledge is what matters.

Key Responsibilities:

1. Collect, clean, and preprocess diverse data sets to ensure integrity and readiness for analysis.
2. Develop, validate, and implement statistical models to extract actionable insights from complex data.
3. Conduct exploratory data analysis to identify trends, patterns, and opportunities for business improvement.
4. Present findings and recommendations through compelling data visualizations and reports, tailored for technical and non-technical stakeholders.
5. Collaborate closely with team members to design and execute end-to-end data projects, from ideation to delivery.
6. Continuously improve analytical methodologies and automation processes to enhance data workflows.
7. Communicate effectively in both written and verbal formats, ensuring clarity and impact of data-driven recommendations.

Required Skills and Qualifications:

1. Expertise in statistics, mathematics, and data analysis techniques.
2. Proven experience in collecting, handling, and cleaning large, complex data sets.
3. Proficiency in programming languages such as Python, R, or similar for data manipulation and modeling.
4. Strong data modeling skills with experience in building and validating predictive models.
5. Advanced ability to visualize data using tools like Tableau, Power BI, or related libraries.
6. Meticulous attention to detail and commitment to data quality at every stage.
7. Excellent written and verbal communication skills, with an emphasis on clarity and precision.

Preferred Qualifications:

1. Experience working in a remote, cross-functional, or customer-focused team environment.
2. Background in developing and deploying machine learning solutions in production settings.