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Remote Role Player Jobs in California (NOW HIRING)

NextDeavor Inc.

Principal Data Architect

Irvine, CA · Remote

$126K - $214K/yr

Become a Key Player as a Principal Data Architect You will design and build the enterprise data ... This is a hands-on, remote role where you will both define standards and implement critical models ...

Visual Concepts

Senior Engineer, Server - NBA 2K

Novato, CA · On-site +1

$130K - $174K/yr

Build and maintain large-scale computing solutions that handle millions of concurrent players ... Love for video games (not just ours!) This is a fully remote role that may be based anywhere in the ...

2K

Senior Engineer, Server - NBA 2K

Novato, CA · On-site +1

$130K - $174K/yr

Build and maintain large-scale computing solutions that handle millions of concurrent players ... Love for video games (not just ours!) This is a fully remote role that may be based anywhere in the ...

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Remote Role Player information

What is a Remote Role Player?

A Remote Role Player is a professional who participates in training exercises, simulations, or assessments—often for organizations such as law enforcement, the military, healthcare, or customer service—by acting out specific scenarios from a remote location, usually over video calls or specialized software. Their main job is to portray realistic situations that help trainees or employees practice communication, decision-making, and problem-solving skills. Working remotely allows greater flexibility and access to a wider range of role players, enhancing the realism and variety of training simulations.

What is the difference between Remote Role Player vs Remote Customer Service Representative?

AspectRemote Role PlayerRemote Customer Service Representative
Required CredentialsOften no formal certifications; training providedCustomer service certifications or experience preferred
Work EnvironmentSimulated scenarios, role-playing settings, online platformsCustomer support centers, call or chat environments
Employer & Industry UsageTraining companies, simulation providers, educational institutionsRetail, telecom, tech companies, various industries
Common Search & Comparison IntentUnderstanding role-playing jobs, training rolesCustomer support jobs, remote support roles

Remote Role Players focus on simulated scenarios for training or testing, often with minimal formal credentials, working in specialized environments. Remote Customer Service Representatives handle real customer inquiries, requiring customer service skills and certifications, working in support centers across industries. While both are remote roles, their functions, environments, and employer types differ significantly.

What are the key skills and qualifications needed to thrive as a remote role player?

To thrive as a Remote Role Player, you need strong communication skills, attention to detail, and the ability to accurately follow role-play scenarios, often supported by experience in acting or training simulations. Familiarity with virtual meeting platforms, scenario scripting tools, and secure communication systems is typically required. Adaptability, professionalism, and emotional intelligence help individuals excel by creating realistic interactions and providing valuable feedback. These skills are essential for delivering high-quality, consistent simulations that support effective training or assessment programs.

How does a remote role player typically collaborate with training facilitators and other team members during simulation exercises?

As a Remote Role Player, you will regularly interact with training facilitators and other role players to create realistic and effective simulation environments, often via video conferencing platforms. Collaboration involves participating in pre-brief meetings to align on scenarios, receiving real-time feedback during exercises, and contributing to debrief sessions to improve future simulations. Maintaining clear communication and adapting quickly to changes in scenarios are key, as you may need to adjust your performance based on facilitator cues or evolving training objectives. This teamwork ensures that participants receive a consistent and impactful learning experience.
What are popular job titles related to Remote Role Player jobs in California? For Remote Role Player jobs in California, the most frequently searched job titles are:
What job categories do people searching Remote Role Player jobs in California look for? The top searched job categories for Remote Role Player jobs in California are:
What cities in California are hiring for Remote Role Player jobs? Cities in California with the most Remote Role Player job openings:
Remote Role Player jobs near you
Infographic showing various Remote Role Player job openings in California as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 16% Part Time, and 3% Contract. Highlights an 91% Physical, 3% Hybrid, and 6% Remote job distribution.

Data Scientist, AI Data Foundations

NextDeavor Inc.

Irvine, CA • Remote

$114K - $175K/yr

Contractor

Re-posted 4 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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