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Ai Data Remote Jobs in Riverside, CA (NOW HIRING)

Corvel

Data Science Manager

Irvine, CA · Remote

This is a remote position. ESSENTIAL FUNCTIONS & RESPONSIBILITIES: * Design, build, train, and deploy production-grade machine learning models, AI solutions and data products * Collaborate with ...

Corvel

Data Scientist II

Irvine, CA · On-site +1

$82K - $127K/yr

... with modern AI techniques, including large language models (LLMs) and retrieval-augmented ... This position is open to remote or hybrid. ESSENTIAL FUNCTIONS & RESPONSIBILITIES: * Mine and ...

Corvel

Data Scientist II

Irvine, CA · On-site +1

... with modern AI techniques, including large language models (LLMs) and retrieval-augmented ... This position is open to remote or hybrid. ESSENTIAL FUNCTIONS & RESPONSIBILITIES: * Mine and ...

NextDeavor Inc.

Principal Data Architect

Irvine, CA · Remote

$126K - $214K/yr

Principal Data Architect Full-time Remote Exclusive confidential search -- details shared with ... Experience building feature stores or curated data products serving ML/AI workloads and BI ...

EnerSys

Senior Finance AI & Automation Developer

Chino, CA · On-site +1

$95K - $119K/yr

Remote * Tuesday-Thursday: Onsite at our Reading, PA location Candidates outside the Reading, PA ... Strong understanding of data structure and APIs required * Experience with Python and/or other code ...

Wayvia

Customer Support Specialist

Irvine, CA · Remote

$21 - $23/hr

Company Overview: At Wayvia, we help the world's top brands stay ahead--using AI, data, and ... This is a remote position open to candidates based in the United States. Compensation: The salary ...

DataAnnotation

Treasury Analyst - AI Trainer

Irvine, CA · Remote

$50 - $100/hr

Enjoy the flexibility of remote work and the freedom to set your own schedule. This is an ... Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises ...

DataAnnotation

Treasury Analyst - AI Trainer

Fontana, CA · Remote

$50 - $100/hr

Enjoy the flexibility of remote work and the freedom to set your own schedule. This is an ... Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises ...

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All JobsAi Data JobsAi Data Remote JobsAi Data Remote Jobs in Riverside, CA

Ai Data Remote information

What are the key skills and qualifications needed to thrive as an AI Data Remote specialist?

To thrive as an AI Data Remote Specialist, you need a solid understanding of data annotation, data analysis, and familiarity with AI concepts, typically supported by a relevant degree or prior experience in data-related fields. Proficiency with annotation tools, data management platforms, and basic programming languages like Python is often required. Attention to detail, time management, and strong communication skills are critical for accuracy and effective collaboration in a remote environment. These skills ensure high-quality, reliable data that is essential for training effective AI models and contributing to successful AI projects.

What is the difference between Ai Data Remote vs Data Analyst?

AspectAi Data RemoteData Analyst
Required CredentialsDegree in Data Science, AI, or related fields; programming skillsBachelor's in Statistics, Data Analysis, or related fields; analytical skills
Work EnvironmentRemote, often project-based or freelanceRemote or on-site, corporate or consulting settings
Industry UsageTech, AI startups, research firmsBusiness, finance, healthcare, marketing
Common Search/ComparisonYesNo

Ai Data Remote roles focus on developing and applying AI models and algorithms remotely, requiring specialized technical skills. Data Analysts interpret data to inform business decisions, often in a broader range of industries. While both roles involve data, Ai Data Remote positions are more technical and AI-specific, whereas Data Analysts focus on data interpretation and reporting.

What are some common challenges faced by AI Data professionals working remotely, and how can they be addressed?

AI Data professionals working remotely often face challenges such as coordinating with distributed teams, ensuring data security, and maintaining clear communication with stakeholders. To address these, it's important to establish regular check-ins, use secure data transfer tools, and leverage collaborative project management platforms. Additionally, setting clear expectations and documentation standards helps minimize misunderstandings and keeps projects on track.

What is an AI Data Remote job?

AI Data Remote jobs involve working with artificial intelligence (AI) data tasks from a remote location, often from home. These roles typically include data labeling, data annotation, data analysis, and data management to help train and improve AI models. Employees in these positions may review, organize, and categorize large datasets, ensuring that the information used by AI systems is accurate and relevant. Remote AI data jobs are popular because they offer flexibility and the opportunity to work for companies across the globe.
What job categories do people searching Ai Data Remote jobs in Riverside, CA look for? The top searched job categories for Ai Data Remote jobs in Riverside, CA are:
What cities near Riverside, CA are hiring for Ai Data Remote jobs? Cities near Riverside, CA with the most Ai Data Remote job openings:
Ai Data Remote jobs near you

Data Scientist, AI Data Foundations

NextDeavor Inc.

Irvine, CA • Remote

$114K - $175K/yr

Contractor

Re-posted 7 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

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