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Remote Ups Package Delivery Driver Jobs in Riverside, CA

Talkiatry

Psychiatrist - Part Time/Full Time

Anaheim, CA · Remote

$325K - $375K/yr

Minimal administrative burden in a fully remote, outpatient model What your day-to-day practice ... Standard session lengths (60-minute intakes, 30-minute follow-ups) * No inpatient, intensive ...

Talkiatry

Psychiatrist - Part Time/Full Time

Ontario, CA · Remote

$325K - $375K/yr

Minimal administrative burden in a fully remote, outpatient model What your day-to-day practice ... Standard session lengths (60-minute intakes, 30-minute follow-ups) * No inpatient, intensive ...

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All JobsUps Package Delivery Driver JobsRemote Ups Package Delivery Driver JobsRemote Ups Package Delivery Driver Jobs in Riverside, CA

Remote Ups Package Delivery Driver information

See Riverside, CA salary details

$14

$20

$26

How much do remote ups package delivery driver jobs pay per hour?

As of Sep 3, 2026, the average hourly pay for remote ups package delivery driver in Riverside, CA is $20.60, according to ZipRecruiter salary data. Most workers in this role earn between $18.80 and $22.07 per hour, depending on experience, location, and employer.

What is a remote UPS package delivery driver?

Remote UPS Package Delivery Drivers are professionals who deliver packages for UPS in areas that are geographically distant or not near a central UPS facility. They are responsible for picking up, transporting, and delivering packages to customers' homes or businesses, often using UPS vehicles. These drivers use handheld devices to track deliveries and obtain signatures, ensuring timely and accurate delivery. They must maintain a good driving record and provide excellent customer service while working independently in various weather conditions.

How does being a remote UPS package delivery driver differ from traditional in-person delivery roles?

As a Remote UPS Package Delivery Driver, you often start your day by coordinating routes and schedules digitally, sometimes picking up packages from centralized locations before making deliveries. While you spend much of your time on the road solo, you frequently interact with dispatchers and customers via mobile apps or communication devices. Adapting to varying delivery environments and managing your time independently are key challenges. Collaboration with the local UPS support team is essential for troubleshooting and ensuring timely deliveries, and there are opportunities to advance into supervisory or logistics coordinator roles as you gain experience.

What are the key skills and qualifications needed to thrive as a remote UPS package delivery driver, and why are they important?

To thrive as a Remote UPS Package Delivery Driver, you need a valid driver’s license, a clean driving record, strong knowledge of delivery routes, and physical stamina. Familiarity with GPS navigation systems, handheld package scanners, and UPS-specific delivery software is typically required. Excellent time management, customer service, and problem-solving skills help drivers handle schedules and interact with recipients effectively. These skills ensure timely, accurate deliveries and high customer satisfaction, which are critical for UPS’s reputation and operational efficiency.

What is the difference between Remote Ups Package Delivery Driver vs UPS Delivery Driver?

AspectRemote Ups Package Delivery DriverUPS Delivery Driver
Work EnvironmentPrimarily remote coordination, with some local deliveriesOn-site delivery routes, driving company vehicles
CredentialsValid driver’s license, background check, delivery experienceValid driver’s license, background check, delivery experience
Employer & IndustryUPS, logistics and courier servicesUPS, logistics and courier services

The main difference is that the Remote Ups Package Delivery Driver often handles remote coordination and scheduling, while the UPS Delivery Driver physically delivers packages on designated routes. Both roles require similar credentials and work within the same industry, but their daily tasks and work environments differ.

How to become a remote UPS package delivery driver?

To become a remote UPS package delivery driver, you typically need to meet age and driving experience requirements, pass a background check and drug screening, and obtain a valid driver's license. Prior experience with delivery or driving and good customer service skills are beneficial. You may also need to complete UPS training and be available to work flexible hours, including weekends and holidays.

What are the most commonly searched types of Ups Package Delivery Driver jobs in Riverside, CA?

The most popular types of Ups Package Delivery Driver jobs in Riverside, CA are:

What are popular job titles related to Remote Ups Package Delivery Driver jobs in Riverside, CA?

For Remote Ups Package Delivery Driver jobs in Riverside, CA, the most frequently searched job titles are:

What job categories do people searching Remote Ups Package Delivery Driver jobs in Riverside, CA look for?

The top searched job categories for Remote Ups Package Delivery Driver jobs in Riverside, CA are:

What cities near Riverside, CA are hiring for Remote Ups Package Delivery Driver jobs?

Cities near Riverside, CA with the most Remote Ups Package Delivery Driver job openings:

Remote Ups Package Delivery Driver jobs near you
Infographic showing various Remote Ups Package Delivery Driver job openings in Riverside, CA as of August 2026, with employment types broken down into 1% As Needed, 65% Full Time, 32% Part Time, and 2% Contract. Highlights an 96% Physical, and 4% Remote job distribution, with an average salary of $42,843 per year, or $20.6 per hour.

Data Scientist, AI Data Foundations

NextDeavor Inc.

Irvine, CA • Remote

$114K - $175K/yr

Contractor

Re-posted 2 days ago

Job description

Data Scientist, AI Data Foundations
Full-time
Remote
Exclusive confidential search — details shared with qualified applicants.
 
Become a Key Player as a Data Scientist, AI Data Foundations

You will design and build the curated data structures that AI and ML applications consume, enabling higher-quality model training and inference. You will partner with model builders, product, risk, and growth stakeholders to surface actionable insights and ship production-ready vector, feature, and graph data assets. This is a Remote role.

Here's How You'll Make an Impact on the Team
  • Build and maintain vector stores for RAG, including embedding pipelines, chunking strategies, indexing, and refresh patterns.
  • Own the feature store: design, build, and operate feature definitions, freshness SLAs, lineage, and point-in-time correctness for offline/online use.
  • Design and implement graph data structures to model relationships across applicants, applications, products, lenders, decisions, and outcomes.
  • Lead data discovery: profile lending, deposit, and behavioral datasets to identify trends, segments, anomalies, and model drivers; produce actionable hypotheses for stakeholders.
  • Engineer curated, AI-ready datasets with appropriate quality checks, documentation, and governance for downstream model builders and analysts.
  • Define and run evaluation frameworks for RAG retrieval quality, feature drift, embedding quality, and graph completeness; iterate on metrics.
  • Partner closely with ML engineers and applied scientists to ensure data assets accelerate model development and serving workflows.
  • Champion responsible data use by collaborating with governance, security, and compliance teams to ensure data classification, consent, and regulatory boundaries are respected.
  • Communicate findings via write-ups, notebooks, dashboards, and short presentations for technical and non-technical audiences.
Here's What You'll Need to Be Successful in This Role
  • 4–7 years of experience in data science, ML engineering, or applied data roles, with significant time building data assets consumed by models or applications.
  • Hands-on experience designing and operating vector stores for RAG or semantic search (embedding generation, chunking, indexing, retrieval evaluation).
  • Experience building or operating a feature store (e.g., Databricks Feature Store, Feast, or custom), including offline training and online serving patterns and point-in-time correctness.
  • Experience modeling and building graph data structures and writing graph queries (Neo4j, TigerGraph, Cosmos DB Gremlin, or similar).
  • Strong proficiency in Python (pandas, NumPy, scikit-learn, PySpark) and SQL; comfortable using Databricks notebooks and jobs.
  • Practical experience with embedding models and LLM tooling (Hugging Face, OpenAI/Azure OpenAI APIs, LangChain or similar) in production or near-production contexts.
  • Demonstrated data discovery skills: profiling messy datasets, surfacing patterns, validating findings statistically, and explaining results clearly.
  • Solid grounding in classical ML concepts (supervised vs. unsupervised learning, train/test discipline, leakage, evaluation metrics).
  • Strong written and verbal communication skills for technical and business audiences.
Here's What Else Might Help You Out
  • Experience in SaaS or FinTech, especially with lending, deposit, credit, fraud, or KYC/AML data.
  • Familiarity with Databricks-native AI/ML tooling: Databricks Vector Search, Databricks Feature Store, MLflow, Unity Catalog.
  • Experience with open-source vector DBs (pgvector, Pinecone, Weaviate, Chroma, FAISS) and strong opinions on trade-offs.
  • Experience with Microsoft Azure data and AI services (Azure OpenAI, Azure AI Search, ADLS Gen2).
  • Experience evaluating RAG systems end-to-end (recall@k, faithfulness, answer quality, hallucination measurement).
  • Exposure to graph algorithms (community detection, link prediction, centrality) applied to business problems.
  • Bachelor's or Master's in CS, Statistics, Mathematics, Engineering, or related quantitative field, or equivalent experience.
Pay Range

$114,000 - $175,000/year

Ready to Make Your Mark?

This role may fill quickly. Submit your resume to be considered.

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