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Remote Background Verification Jobs in Boston, MA

There are openings in our Waltham, MA office, with remote/WFH flexibility, as well as openings in ... Strong background in sales and new business development experience within contract staffing.

This position is 100% remote. Pay: $25.00/hour Schedule: Full Time 40 Hours per week Job Type: 12 ... background check. * In compliance with federal law, all persons hired will be required to verify ...

Senior Traffic Engineer

Boston, MA · On-site +1

$113K - $155K/yr

... remote work opportunities, part-time benefits, and generous PTO. We believe that each day is an ... Fuss & O'Neill participates in the Federal e-Verify program. #LI-AS1

Senior Traffic Engineer

Quincy, MA · On-site +1

$109K - $150K/yr

... remote work opportunities, part-time benefits, and generous PTO. We believe that each day is an ... Fuss & O'Neill participates in the Federal e-Verify program. #LI-AS1

Senior Traffic Engineer

Woburn, MA · On-site +1

$108K - $148K/yr

... remote work opportunities, part-time benefits, and generous PTO. We believe that each day is an ... Fuss & O'Neill participates in the Federal e-Verify program. #LI-AS1

Senior Traffic Engineer

Woburn, MA · On-site +1

$114K - $157K/yr

... remote work opportunities, part-time benefits, and generous PTO. We believe that each day is an ... Fuss & O'Neill participates in the Federal e-Verify program. #LI-AS1

Showing results 41-60

Remote Background Verification information

See Boston, MA salary details

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$20

$28

How much do remote background verification jobs pay per hour?

As of Sep 3, 2026, the average hourly pay for remote background verification in Boston, MA is $20.50, according to ZipRecruiter salary data. Most workers in this role earn between $17.74 and $21.92 per hour, depending on experience, location, and employer.

What is remote background verification?

Remote background verification is the process of checking a candidate’s personal, educational, and professional history from a distance, typically through digital platforms and online resources. This process helps employers confirm the accuracy of a candidate’s credentials and assess their trustworthiness without needing in-person meetings. It often involves verifying employment records, educational qualifications, criminal records, and references using secure, remote methods. The entire procedure is designed to be efficient, secure, and compliant with privacy laws. Remote background verification has become increasingly popular as more organizations adopt remote hiring practices.

What are the key skills and qualifications needed to thrive as a remote background verification specialist?

To excel as a Remote Background Verification Specialist, you need strong attention to detail, analytical skills, and a solid understanding of compliance and confidentiality, often supported by a degree in human resources, criminology, or a related field. Familiarity with background screening tools, applicant tracking systems (ATS), and secure data management platforms is typically required. Excellent communication, discretion, and time management are essential soft skills for handling sensitive information and meeting tight deadlines. These skills ensure accuracy, protect client privacy, and maintain trust in the hiring process.

What are some common challenges faced in a remote background verification role, and how can they be managed?

One of the primary challenges in remote background verification roles is ensuring timely and accurate information collection when direct access to physical records or in-person interviews is limited. Remote verifiers often rely on digital communication and online databases, which can sometimes result in delays or incomplete data. Effective time management, strong communication skills, and familiarity with digital verification tools are crucial to overcome these obstacles. Building rapport with candidates and third-party contacts via email or phone can also help facilitate smoother information gathering and verification.

What is the difference between Remote Background Verification vs Remote Background Screening?

AspectRemote Background VerificationRemote Background Screening
PurposeTo verify an individual's credentials, employment history, and criminal recordsTo assess potential risks by screening criminal, credit, and employment history
ProcessInvolves detailed verification of documents and referencesIncludes background checks, credit reports, and criminal record searches
UsageUsed by employers during hiring to confirm candidate infoUsed by employers to evaluate candidate risk factors

Both Remote Background Verification and Remote Background Screening are essential in the hiring process. Verification focuses on confirming credentials, while screening assesses potential risks. Understanding their differences helps employers make informed hiring decisions.

What are popular job titles related to Remote Background Verification jobs in Boston, MA?

For Remote Background Verification jobs in Boston, MA, the most frequently searched job titles are:

What cities near Boston, MA are hiring for Remote Background Verification jobs?

Cities near Boston, MA with the most Remote Background Verification job openings:

Infographic showing various Remote Background Verification job openings in Boston, MA as of June 2026, with employment types broken down into 65% Full Time, 29% Part Time, and 6% Contract. Highlights an 51% Physical, 3% Hybrid, and 46% Remote job distribution, with an average salary of $42,638 per year, or $20.5 per hour.

Computational Design Research Engineer

Foundation EGI

Boston, MA • Remote

$100K - $140K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 28 days ago


Job description

REQUIRED: MUST have experience with Code Development + Computational Design and/or Geometry Processing. Applicants will not be considered without this experience.
 
About Us:
 
We are an MIT-born, venture-backed Silicon Valley startup building a real-life 'Jarvis'. An AI Copilot for design and manufacturing. Our goal is to utilize advanced AI, physics simulation, and computer graphics to reduce costs and improve engineering productivity across all steps of the design and manufacturing process.
 
 

On this Role:

This role is a mix of a few worlds coming together. You’ll be working with machine learning but not in a vacuum it’s applied to real engineering problems, working with 2D and 3D data from CAD, CAE, and CAM systems. A big part of the work is taking complex geometry, design workflows, and simulation data and figuring out how to turn that into something an AI system can actually understand and use.

We’re looking for someone who’s strong technically, especially in Python and ML, but also has the curiosity to dig into how things are designed and built in the real world. You might come from a research background or industry but either way you’re comfortable moving between theory and practical application. If you’ve spent time around mechanical systems or engineering design, that’s a big plus, because a lot of this role is about bridging that gap between advanced models and how engineers actually work day to day.

 
Responsibilities
  • Design, develop, and maintain geometry processing and simulation algorithms for engineering applications.
  • Build services for reading, processing, and writing 2D/3D engineering data.
  • Develop rendering modules for generating 2D/3D visual assets.
  • Curate and manage large-scale datasets for learning-based systems.
  • Implement and optimize post-training workflows for machine learning models.
  • Contribute to the development of domain-specific languages for engineering tasks.
What we are looking for
  • 5+ years of academic or industry experience in one or more of the following areas: Geometric Processing, Simulation, Optimization, Machine Learning, or Domain-Specific Languages.
  • Proficient in writing clean, modular, and maintainable Python code.
  • Experience with dataset creation and data pipeline development.
  • PhD or MS with a focus in Computational Design, Simulation, or AI.
  • Experience developing CAD/CAM/CAE software tools.
  • Experience developing or fine-tuning large language models (LLMs), including post-training methods such as quantization, pruning, distillation, or reinforcement learning.
  • Experience designing or implementing DSLs or compilers.

This range represents base compensation only and is intended to provide flexibility for candidates with varying levels of experience, expertise and demonstrated impact. Final compensation will be determined based on factors including skills, experience, location,and overall alignment with the role.

In addition to base salary, eligible employees may receive:

• Equity participation in the company's long-term success
• Comprehensive benefits package including medical, dental and vision coverage
• Retirement savings benefits
• Generous paid time off and company holidays
• Remote-first work environment
• Fully funded company offsites and team gatherings
• Professional development and learning opportunities
• Home office support and remote work resources

We believe compensation should grow alongside impact. Our salary ranges are intentionally designed to provide room for career progression, increased scope of responsibility and continued growth within Foundation EGI.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.