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Remote Monitoring Evaluation Learning Jobs in Riverside, CA

Seasoned Recruitment

Tele-Psychiatrist

Menifee, CA · Remote

... services in a fully remote capacity as a 1099 contractor. This position provides maximum ... evaluations and develop evidence-based treatment plans. * Manage medication protocols, monitor ...

Corvel

Data Scientist II

Irvine, CA · On-site +1

$82K - $127K/yr

This position is open to remote or hybrid. ESSENTIAL FUNCTIONS & RESPONSIBILITIES: * Mine and ... Design, build, train, and deploy machine learning models and data products for enterprise use

Corvel

Data Scientist II

Irvine, CA · On-site +1

This position is open to remote or hybrid. ESSENTIAL FUNCTIONS & RESPONSIBILITIES: * Mine and ... Design, build, train, and deploy machine learning models and data products for enterprise use

Infinity Marketing

Data Analyst

Riverside, CA · Remote

REMOTE - US Residents Only  We are looking for a thorough and analytical Data Analyst to ... By gathering, cleansing, and evaluating large datasets, find trends, patterns, and insights. Create ...

ABB

Service Sales Specialist

Irvine, CA · Remote

Remote {#LI-Remote}, this role provides support for the East Coast and will require East Coast ... Establish and maintain customer relationships, learning and evaluating customer operations to ...

CITY VENTURES

Land Acquisition Intern

Irvine, CA · On-site +1

$19 - $20/hr

Learning Opportunities and Responsibilities The Land Acquisition Intern may assist with the ... Monitor publicly owned assets, Requests for Proposals, zoning amendments, housing element updates ...

New

Chubb

Sr. Premium Auditor

Irvine, CA · Remote

The position is primarily remote, with audits completed through a remote physical audit process ... Performance will be evaluated based on productivity, time service, technical quality, and ...

Qcells

Director, Compliance Risk

Irvine, CA · On-site +1

$145K - $195K/yr

Santa Clara, CA or Teaneck, NJ. Remote work may be considered for exceptional cases ... Monitoring, Testing & Controls * Oversee the development and execution of a risk-based compliance ...

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All JobsMonitoring Evaluation Learning JobsRemote Monitoring Evaluation Learning JobsRemote Monitoring Evaluation Learning Jobs in Riverside, CA

Remote Monitoring Evaluation Learning information

See Riverside, CA salary details

$33.9K

$66.5K

$103.8K

How much do remote monitoring evaluation learning jobs pay per year?

As of Jul 21, 2026, the average yearly pay for remote monitoring evaluation learning in Riverside, CA is $66,540.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,100.00 and $78,200.00 per year, depending on experience, location, and employer.

Are evaluators in high demand?

Evaluators in remote monitoring, evaluation, and learning roles are increasingly in demand due to the growth of international development, non-profit, and health sectors that rely on data-driven decision-making. These positions often require skills in data analysis, reporting, and familiarity with monitoring tools, making qualified evaluators valuable in the job market.

How to get into monitoring and evaluation?

To enter monitoring and evaluation (M&E), gaining a degree in social sciences, public health, or related fields is common. Developing skills in data collection, analysis, and reporting, along with proficiency in tools like Excel or statistical software, is essential. Internships or entry-level positions in development organizations or NGOs can provide practical experience to build a career in M&E.

Is M&E a good career?

Monitoring and Evaluation (M&E) is a valuable career in sectors like international development, healthcare, and NGOs, focusing on assessing program effectiveness and outcomes. It often requires skills in data analysis, reporting, and familiarity with tools like Excel or statistical software, with opportunities for professional growth and specialization.

What is the difference between Remote Monitoring Evaluation Learning vs Remote Data Analyst?

AspectRemote Monitoring Evaluation LearningRemote Data Analyst
Primary FocusMonitoring, evaluating, and learning from programs or projects to improve outcomesAnalyzing data sets to identify trends, generate reports, and support decision-making
Required SkillsMonitoring tools, evaluation methodologies, learning frameworks, data collectionStatistical analysis, data visualization, database management, programming skills
Work EnvironmentFieldwork, program sites, remote collaboration with teamsOffice or remote, primarily computer-based work
Common CertificationsMonitoring and Evaluation (M&E) certifications, learning frameworksData analysis certifications, statistical software training

Remote Monitoring Evaluation Learning professionals focus on assessing program performance and fostering continuous improvement through evaluation and learning. In contrast, Remote Data Analysts primarily analyze data to support strategic decisions. While both roles require data skills, M&E emphasizes evaluation methodologies and learning frameworks, whereas Data Analysts focus on statistical analysis and data management.

What are the typical challenges faced when working in a remote Monitoring, Evaluation, and Learning (MEL) role, and how can they be addressed?

Professionals in remote MEL roles often encounter challenges such as coordinating across time zones, ensuring effective communication with project teams, and accessing reliable data from field locations. To address these, it's important to establish regular virtual check-ins, utilize collaborative digital tools, and build strong relationships with local partners who can facilitate data collection and validation. Proactively setting clear expectations and documentation practices also helps maintain the quality and timeliness of MEL deliverables.

What are the key skills and qualifications needed to thrive as a Remote Monitoring, Evaluation, and Learning (MEL) Specialist, and why are they important?

To thrive as a Remote Monitoring, Evaluation, and Learning (MEL) Specialist, you need a solid background in data analysis, project management, and research methodologies, often supported by a degree in social sciences or a related field. Familiarity with statistical software (such as SPSS or Stata), data visualization tools, and digital survey platforms is typically required, along with knowledge of MEL frameworks. Strong communication, problem-solving, and adaptability are essential soft skills to effectively collaborate with remote teams and stakeholders. These skills ensure accurate program assessment, informed decision-making, and continuous improvement of projects, even when working from a distance.

What do remote evaluators do?

Remote evaluators assess the effectiveness and impact of programs or projects from a distance, often analyzing data, preparing reports, and providing feedback to improve outcomes. They typically use online tools, data analysis software, and communication platforms to perform their tasks efficiently. Strong analytical skills and experience with monitoring and evaluation methods are essential for this role.

What is Remote Monitoring, Evaluation, and Learning (MEL)?

Remote Monitoring, Evaluation, and Learning (MEL) refers to the practice of overseeing and assessing projects or programs from a distance, often using digital tools and technology. This approach allows organizations to collect data, track progress, and analyze outcomes without being physically present on-site. Remote MEL is especially useful for projects in hard-to-reach or high-risk areas, enabling timely decision-making and adaptive management. It involves methods such as online surveys, mobile data collection, and remote interviews to ensure effective project monitoring and learning.
What are the most commonly searched types of Monitoring Evaluation Learning jobs in Riverside, CA? The most popular types of Monitoring Evaluation Learning jobs in Riverside, CA are:
What are popular job titles related to Remote Monitoring Evaluation Learning jobs in Riverside, CA? For Remote Monitoring Evaluation Learning jobs in Riverside, CA, the most frequently searched job titles are:
What job categories do people searching Remote Monitoring Evaluation Learning jobs in Riverside, CA look for? The top searched job categories for Remote Monitoring Evaluation Learning jobs in Riverside, CA are:
What cities near Riverside, CA are hiring for Remote Monitoring Evaluation Learning jobs? Cities near Riverside, CA with the most Remote Monitoring Evaluation Learning job openings:
Remote Monitoring Evaluation Learning jobs near you
Infographic showing various Remote Monitoring Evaluation Learning job openings in Riverside, CA as of July 2026, with employment types broken down into 61% Full Time, 15% Part Time, and 24% Contract. Highlights an 100% Remote job distribution, with an average salary of $66,540 per year, or $32 per hour.
Data Scientist, AI Data Foundations

Data Scientist, AI Data Foundations

NextDeavor Inc.

Irvine, CA • Remote

$114K - $175K/yr

Contractor

Posted 17 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?

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