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Vector Remote Jobs in California (NOW HIRING)

Innowhyte Inc

Build and implement RAG pipelines with vector databases (e.g., Pinecone, FAISS). Develop Generative AI solutions, including chatbots, summarization, and content creation tools. Preprocess, clean, and ...

Numentica LLC

Data / Search Specialist

Los Angeles, CA · Remote

$40 - $50/hr

This is a remote position. Role Summary The Data / Search Specialist makes the customer's knowledge ... Generate and manage embeddings and configure vector stores for retrieval. * Build a retrieval ...

Redfish Recruiting

$130K - $171K/yr

Experience with RAG, embeddings, vector search, or evaluation methodologies. * Familiarity with ... Fully remote, work from home environment * Employee Share Option Plan * Flexible working hours

TigerGraph

Software Engineer

Milpitas, CA · On-site +1

This position is primarily remote, but location-based requirements may apply. If the selected ... Build, optimize, and operate our core vector embedding infrastructure to enable efficient nearest ...

Numentica LLC

AI Application Engineer

Los Angeles, CA · Remote

$40 - $50/hr

This is a remote position. Role Summary The AI Application Engineer builds the prototypes, services ... Experience with vector databases, embeddings, and search/retrieval tooling. * Familiarity with CI ...

Planet

Data Visualization Engineer

San Francisco, CA · On-site +1

Knowledge of use cases for remote sensing data * Knowledge of cartographic and data visualization best practices * Experience in manipulating vector and raster data with core geospatial software and ...

GDIT

AI Data Scientist

Los Angeles, CA · On-site +1

Familiarity with vector stores (Pinecone, Chroma, Weaviate, Azure Cognitive Search), LLM model ... a remote work model GDIT IS YOUR PLACE At GDIT, the mission is our purpose, and our people are at ...

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All JobsVector JobsVector Remote JobsVector Remote Jobs in California

Vector Remote information

What are some of the unique challenges faced when working as a remote sales representative for Vector Marketing?

As a remote sales representative for Vector Marketing, one of the main challenges is maintaining self-motivation and discipline, since you are often managing your own schedule without direct in-person supervision. Additionally, building rapport with customers virtually requires strong communication skills and adaptability to different digital platforms. You may also need to proactively seek feedback and support from your team, as remote work can sometimes feel isolating. However, the company offers regular virtual meetings, training, and resources to help you stay connected and succeed in your sales goals.

What are the key skills and qualifications needed to thrive as a Vector Remote (Remote Sales Representative at Vector Marketing), and why are they important?

To thrive as a Vector Remote Sales Representative, you need strong sales acumen, effective communication skills, and a high school diploma or equivalent. Familiarity with CRM software, virtual meeting platforms, and online order processing systems is typically required. Exceptional interpersonal skills, self-motivation, and resilience help individuals stand out in this role. These skills are crucial for building client relationships, meeting sales targets, and succeeding in a remote work environment.

What are Vector Remote jobs?

Vector Remote jobs refer to employment opportunities offered by Vector Marketing that allow representatives to work remotely, typically selling CUTCO® products from home or any location with internet access. These positions often involve conducting virtual demonstrations, managing customer relationships online, and setting appointments through digital platforms. Remote roles offer flexible scheduling, making them attractive to students and those seeking supplemental income. Training and support are usually provided virtually, ensuring remote reps have the resources needed to succeed. This setup allows individuals to gain sales and communication experience without needing to work in a traditional office environment.

What is the difference between Vector Remote vs Data Analyst?

AspectVector RemoteData Analyst
Required CredentialsBachelor's degree in relevant field, technical skills in data toolsBachelor's degree in statistics, mathematics, or related field
Work EnvironmentRemote, flexible hours, tech-focusedTypically office-based or remote, analytical and reporting tasks
Employer & Industry UsageTech companies, startups, remote-first organizationsBusiness, finance, healthcare, and various industries
Search & Comparison IntentRemote data roles, tech jobs, data-focused positionsData analysis careers, analytics roles, data reporting jobs

Vector Remote and Data Analyst roles often require similar technical skills and educational backgrounds. While Vector Remote emphasizes remote work environments and tech industry usage, Data Analysts are found across multiple industries with both remote and on-site options. Understanding these differences helps job seekers target the right roles based on work setting and industry focus.

What are the most commonly searched types of Vector jobs in California? The most popular types of Vector jobs in California are:
What cities in California are hiring for Vector Remote jobs? Cities in California with the most Vector Remote job openings:
Vector Remote jobs near you
Infographic showing various Vector Remote job openings in California as of July 2026, with employment types broken down into 86% Full Time, 10% Part Time, and 4% Contract. Highlights an 59% Physical, 4% Hybrid, and 37% Remote job distribution.
Data Scientist, AI Data Foundations

Data Scientist, AI Data Foundations

NextDeavor Inc.

Irvine, CA • Remote

$114K - $175K/yr

Contractor

Posted 24 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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