ZipRecruiter

Log In

2

Remote Peer Support Jobs in Virginia (NOW HIRING)

Stantec

Fire Protection Engineer (Remote or Hybrid)

Hampton, VA · On-site +1

$80K - $108K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Gather information to support design decisions. * Prepare engineering designs, drawings ... Conducts quality assurance and quality control on own projects and projects of peers. * Assists in ...

PERIKIN ENTERPRISES LLC

Mid-Level Business Analyst

Herndon, VA · On-site +1

$85K - $102K/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

However, remote and offsite support may be considered. WORK CONTEXT Most AQD Government employees ... Conduct peer reviews and provide recommendations on reports as requested by the Government.

Virtual Peace of Mind

Licensed Therapist/Counselor

Suffolk, VA · Remote

$60 - $65/hr

  • Medical

  • Dental

  • Vision

... with a remote model designed to support excellent work and real life. What you can expect ... Address a range of concerns including anxiety, grief, trauma, academic stress, and family or peer ...

Initiate Government Solutions

Cloud Architect Lead

Arlington, VA · On-site +1

$74.75 - $95.25/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

IGS is currently recruiting a remote Cloud Architect Lead to support our work with a federal client ... How we interact with others including peers, colleagues, stakeholders, and customers' matters. We ...

Novartis

$185K - $344K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Summary #LI-Remote Lead the strategy and evolution of external expert engagement across the ... Peer Exchange Programs (PXP) * Support identification and approval of Novartis commercial ...

Ad Hoc

Engineer Lead

Mclean, VA · Remote

$103K - $136K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Engineer Lead Job Number: 919 This is a remote position. Ad Hoc is a technology company that ... In this role, an Engineering Lead will support leadership in partnering with peers to meet delivery ...

previous pagenext page

Showing results 21-40

All JobsPeer Support JobsRemote Peer Support JobsRemote Peer Support Jobs in Virginia

Remote Peer Support information

See Virginia salary details

$10

$19

$28

How much do remote peer support jobs pay per hour?

As of Aug 14, 2026, the average hourly pay for remote peer support in Virginia is $19.55, according to ZipRecruiter salary data. Most workers in this role earn between $16.68 and $21.44 per hour, depending on experience, location, and employer.

What does a typical workday look like for a remote peer support specialist?

A typical day as a Remote Peer Support specialist involves connecting with clients individually or in small groups through video, phone, or messaging platforms to provide emotional support and share resources. You may spend time documenting sessions, coordinating with other mental health professionals, and attending team meetings focused on client care. Flexibility is key, as some interactions are scheduled while others may be more urgent. While most work is done independently, strong collaboration with your team is essential to ensure clients receive comprehensive support and consistent follow-up.

What is a remote peer support?

A Remote Peer Support job involves providing emotional support, guidance, and resources to individuals facing mental health challenges, addiction recovery, or other life difficulties. This role is typically filled by someone with lived experience who can offer empathy and understanding. Support is provided via phone, video calls, chat, or online forums, helping individuals navigate their challenges in a non-clinical, supportive manner. The goal is to offer encouragement, share coping strategies, and connect individuals with relevant resources.

What are the key skills and qualifications needed to thrive in remote peer support, and why are they important?

To thrive as a Remote Peer Support specialist, you need lived experience relevant to the population you serve, strong active listening skills, and knowledge of mental health and recovery resources. Familiarity with secure communication platforms, note-taking systems, and sometimes peer support certification are valued in this role. Exceptional empathy, reliability, and a nonjudgmental approach help you build trust and rapport with clients remotely. These skills ensure meaningful support, effective communication, and positive outcomes for individuals in need of guidance and encouragement.

What are the most commonly searched types of Peer Support jobs in Virginia?

The most popular types of Peer Support jobs in Virginia are:

What are popular job titles related to Remote Peer Support jobs in Virginia?

For Remote Peer Support jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Remote Peer Support jobs in Virginia look for?

The top searched job categories for Remote Peer Support jobs in Virginia are:

What cities in Virginia are hiring for Remote Peer Support jobs?

Cities in Virginia with the most Remote Peer Support job openings:

Remote Peer Support jobs near you
Infographic showing various Remote Peer Support job openings in Virginia as of August 2026, with employment types broken down into 80% Full Time, 10% Part Time, and 10% Contract. Highlights an 100% Remote job distribution, with an average salary of $40,671 per year, or $19.6 per hour.

Data Scientist - AI/ML & Advanced Analytics (Fraud Analytics & Investigative Support)

Praescient Analytics

Fairfax, VA • On-site, Remote

Full-time

Retirement, PTO

Re-posted 19 days ago

Job description

Location: Remote (Occasional Travel May Be Required)
Clearance: Ability to obtain and maintain a Public Trust
Position Overview
Praescient Analytics is building a multidisciplinary advanced analytics team supporting federal fraud detection and investigative missions. We are seeking experienced Data Scientists with expertise in one or more advanced analytical disciplines, including artificial intelligence (AI), machine learning (ML), natural language processing (NLP), large language models (LLMs), graph analytics, and relationship discovery.
These positions will help design and implement next-generation analytical capabilities that identify hidden fraud patterns, uncover complex relationships, analyze unstructured information, and transform large, diverse datasets into actionable intelligence for investigators and oversight organizations.
The ideal candidate is a hands-on technical specialist who enjoys applying emerging analytical technologies to solve complex fraud, financial crime, and investigative challenges.
Key Responsibilities
  • Design, develop, validate, and optimize advanced analytical models supporting fraud detection and investigative missions.
  • Apply machine learning, artificial intelligence, natural language processing, graph analytics, and statistical modeling techniques to identify fraud patterns and emerging risks.
  • Analyze structured, semi-structured, and unstructured data from multiplegovernment and commercial sources.
  • Develop scalable analytical workflows using cloud-native technologies and open-source data science frameworks.
  • Collaborate with Graph Data Scientists, Data Engineers, Investigative Analysts, and Technical Analytics Managers to develop integrated analytical solutions.
  • Document analytical methodologies, model performance, validation results, and technical recommendations.
  • Support Agile software development through sprint planning, demonstrations, peer reviews, and iterative solution development.

Required Qualifications
  • Must have experience with Fraud Analysis
  • Three (3) or more years of professional experience developing advanced analytical or machine learning solutions.
  • Strong Python and SQL programming experience.
  • Experience developing, testing, validating, and improving analytical or machine learning models.
  • Experience working with cloud analytics environments.
  • Excellent analytical, written, and verbal communication skills.

Desired Experience
We are seeking candidates with demonstrated expertise in one or more of the following advanced analytics areas:
  • Artificial Intelligence & Machine Learning: Developing, validating, deploying, and optimizing machine learning and AI models using modern frameworks and best practices for predictive analytics, classification, clustering, and model evaluation.
  • Natural Language Processing (NLP) & Large Language Models (LLMs): Applying NLP, LLMs, Retrieval-Augmented Generation (RAG), semantic search, information extraction, document intelligence, and other techniques to analyze and derive insights from unstructured text.
  • Graph Analytics & Relationship Discovery: Leveraging graph databases, knowledge graphs, link analysis, network analytics, entity resolution, and relationship discovery tools (e.g., Neo4j, Cypher, i2 Analyst's Notebook) to identify hidden patterns and complex fraud networks.
  • Cloud-Native Analytics: Developing analytical solutions within modern cloud and Lakehouse environments using platforms such as Azure Databricks, Microsoft Fabric, Azure Data Lake Storage, SQL Server, Power BI, Git, or comparable technologies.
  • Fraud Analytics & Investigative Support: Applying advanced analytics to fraud detection, financial crimes, program integrity, federal benefit programs, grants, loans, emergency relief, or other government oversight and investigative missions.

What We're Looking For
We're looking for technically curious data scientists who enjoy exploring emerging technologies and applying them to real-world investigative challenges. Whether your expertise lies in machine learning, large language models, graph analytics, relationship discovery, or advanced AI techniques, you'll help build innovative analytical capabilities that strengthen government oversight, accelerate fraud detection, and support investigators in protecting the integrity of federal programs.
What you can expect from us:
  • Real opportunity for career growth in an environment where your achievements will be celebrated
  • Constant collaboration with numerous teams to ensure client success
  • A team that respects and embraces your ideas and expertise
  • Coworkers that are motivated by pursuing excellence, rather than the prospect of personal gain
  • A workplace dedicated to supporting and bettering public safety and government agencies

Benefits:
  • Competitive salary based on qualifications and experience
  • Comprehensive, Company paid healthcare for you (We pay your premiums and deductibles)
  • 401(k) with company match
  • Travel & performance incentives
  • 3 weeks paid time off (plus Federal Holidays)
  • $5K annual training allowance
  • $500 book allowance
  • Tuition reimbursement program

Praescient Analytics is an Equal Employment Opportunity employer. Employment decisions are based on merit, qualifications, experience, performance, business needs, and applicable contract requirements. Praescient does not unlawfully discriminate or provide disparate treatment based on race, ethnicity, color, religion, sex, national origin, age, disability, veteran status, genetic information, or any other status protected by applicable law.
Praescient Analytics acknowledges the applicable clause and provision updates implementing Executive Order 14398, Addressing DEI Discrimination by Federal Contractors, and the related FAR/RFO updates, including FAR 52.222-90 where applicable. Praescient does not engage in racially discriminatory DEI activities, including disparate treatment based on race or ethnicity in recruitment, hiring, promotion, contracting, program participation, training, mentoring, leadership development, or allocation of company resources. Praescient's employment and contracting decisions are made based on merit, qualifications, experience, performance, business needs, and applicable contract requirements.
Applicants selected will be subject to a government security investigation and must meet eligibility requirements for access to classified information.
US Citizenship Required
Interested Candidates: Please forward your resume to recruiting@praescientanalytics.com and please visit our website to apply online at www.praescientanalytics.applicantstack.com/x/openings.

Apply