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Weekend Remote Data & Analytics Jobs in California

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... No prior AI experience is required--your data science expertise, analytical thinking, and ...

Data Platform Engineer

Santa Cruz, CA · On-site +1

$132K - $158K/yr

... analytics. WhatYou'llDo * Design and deploy modern data platforms in Azure Databricks, including ... Remote(USA)or hybrid (Santa Cruz County, CA) Compensation:The estimated base salary range for this ...

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... No prior AI experience is required--your data science expertise, analytical thinking, and ...

Data Analyst Senior

Sacramento, CA · On-site +1

$107K - $155K/yr

Together with the Data Analytics team, support the building and implementing of solutions for external clients and internal projects. Assess the effectiveness and accuracy of new data sources and ...

This is full-time remote position. Key Responsibilities * Develop, deploy and monitor predictive ... Analyze large data sets to discover trends and patterns * Maintain a pulse on the current state of ...

REMOTE - US Residents Only  We are looking for a thorough and analytical Data Analyst to go with our present team. Your job in this role will mostly consist on data collecting, processing ...

Remote : OK Job role: As a data analyst, you will be responsible for compiling actionable insights from data and assisting program, sales and marketing managers build data-driven processes. Your role ...

Remote Work Requirements * Hard-wired ethernet connection. * Safe and secure workspace. * Ability ... Exposure to Python, R, or other data analysis tools. * Experience working in a fast-paced or cross ...

This is a remote, flexible role for candidates who are analytical, commercially curious, and ... Analyze data, documents, websites, interviews, and public information to form concise ...

London About the Team The Cloudflare Data Intelligence & Analytics (DIA) team has built a unified data & ML platform to provide our internal Business Partners with actionable analytics, insights, and ...

New

Data Analyst

Monterey Park, CA · On-site +1

$106K - $172K/yr

Represents the organization on national projects, working groups, and teams addressing data management, analytics, reporting, and business intelligence issues. The position can be filled at any of ...

Showing results 41-60

Weekend Remote Data Analytics information

Do data analysts work weekends?

Data analysts working remotely often have flexible schedules, but their work typically follows standard business hours during weekdays. Weekend work may be required occasionally for urgent projects or deadlines, depending on the employer and project needs. Overall, weekend work is not a regular expectation for most data analyst roles.

Is it possible to get a remote job as a weekend remote data & analytics professional?

Yes, it is possible to find remote data and analytics roles that offer weekend or flexible schedules, especially in freelance or contract positions. These roles often require strong skills in data analysis, tools like SQL or Python, and the ability to work independently outside traditional business hours.

What job categories do people searching Weekend Remote Data & Analytics jobs in California look for?

The top searched job categories for Weekend Remote Data & Analytics jobs in California are:

What cities in California are hiring for Weekend Remote Data & Analytics jobs?

Cities in California with the most Weekend Remote Data & Analytics job openings:

Infographic showing various Weekend Remote Data & Analytics job openings in California as of August 2026, with employment types broken down into 82% Full Time, 10% Part Time, and 8% Contract. Highlights an 100% Remote job distribution.

AI Data Scientist Expert - Remote

YO AI Labs

San Francisco, CA • Remote

$100 - $200/hr

Part-time

Posted 7 days ago


Job description

Job Title: AI Data Science Domain Expert

Job Type: Contractor (Part-Time)
Location: Remote

Job Overview

We are seeking experienced AI Data Science Domain Experts to contribute their expertise to an innovative project focused on advancing next-generation AI systems. In this role, you will review, evaluate, and refine AI-generated technical and analytical content to improve model accuracy, reasoning, and overall performance. No prior AI experience is required—your data science expertise, analytical thinking, and communication skills are what matter most.

Key Responsibilities
  • Review, edit, and refine AI-generated content for accuracy, clarity, and technical relevance.
  • Develop, optimize, and evaluate prompts to improve AI model performance.
  • Conduct rubric-based assessments of AI outputs and provide structured feedback.
  • Perform independent research and fact-checking to validate technical information.
  • Annotate data and support quality assurance initiatives for AI training.
  • Interpret complex datasets and prepare clear technical reports and summaries.
  • Collaborate remotely with project teams to improve AI models and workflows.
Required Skills
  • Critical Thinking
  • Analytical Reasoning
  • Prompt Engineering
  • AI Output Evaluation
  • Quality Assurance
  • Technical Documentation
  • Technical & Report Writing
  • Content Review & Editing
  • Data Annotation
  • Data Interpretation
  • Fact Checking
  • Independent Research
  • Problem-Solving
  • Attention to Detail
Preferred Qualifications
  • 3+ years of experience in Data Science, Machine Learning, Applied AI, Statistics, Quantitative Analytics, or Data Analytics.
  • Experience producing or reviewing research papers, analytical reports, technical documentation, experiment summaries, or data-driven recommendations.
  • Strong analytical reasoning, critical thinking, and written communication skills.
  • Experience with data annotation, content review, or rubric-based evaluation is preferred.
  • Familiarity with prompt engineering, AI output evaluation, fact-checking, or RLHF is a plus.
  • Master's, MBA, PhD, or other advanced degree is preferred.