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Remote Land Title Abstractor Jobs in Virginia (NOW HIRING)

Remote Land Title Abstractor information

What is a remote land title abstractor?

A Remote Land Title Abstractor is a professional who researches and compiles information about the history of property titles, liens, and ownership from public records, but does so remotely rather than in person. They analyze legal documents such as deeds, mortgages, and court records to determine the legal status of a property’s title. This work is essential for real estate transactions, ensuring that there are no outstanding legal issues or claims on a property. Remote Land Title Abstractors utilize online databases and digital tools to access and review documents. Their findings help buyers, sellers, and lenders make informed decisions during property transactions.

What skills and qualifications are needed to be a remote land title abstractor?

To thrive as a Remote Land Title Abstractor, you need a solid understanding of real estate law, property records research, and title documentation, often supported by experience or certification in title abstracting. Familiarity with title search software, public records databases, and various recording systems is essential for efficient work. Strong attention to detail, analytical skills, and excellent written communication help ensure accuracy and clarity in reports. These skills are crucial for delivering reliable title information that supports real estate transactions and mitigates legal risks.

What are the main challenges faced by remote land title abstractors, and how can they be managed effectively?

Remote land title abstractors often face challenges such as accessing various county records online, verifying the accuracy of historical documents, and maintaining clear communication with clients and team members. To manage these effectively, it's important to be familiar with multiple online record systems, employ strong organizational skills for document tracking, and utilize secure collaboration tools for sharing information. Proactively reaching out to county offices when digital records are incomplete can also help ensure thorough and accurate title research.

How do you become a remote land title abstractor?

To become a remote land title abstractor, typically you need a high school diploma or equivalent, along with training or certification in title searching and real estate terminology. Strong research skills, attention to detail, and familiarity with title plant software are essential, and some employers may require experience in real estate or legal environments. Many roles are performed independently, often requiring reliable internet and computer skills.

How much does a remote land title abstractor make?

A remote land title abstractor typically earns between $40,000 and $60,000 annually, depending on experience, certifications, and the complexity of the titles they review. Some may earn higher with specialized knowledge or working for larger firms, and the role often requires attention to detail and familiarity with title search software.

What are the most commonly searched types of Land Title Abstractor jobs in Virginia?

The most popular types of Land Title Abstractor jobs in Virginia are:

What are popular job titles related to Remote Land Title Abstractor jobs in Virginia?

For Remote Land Title Abstractor jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Remote Land Title Abstractor jobs in Virginia look for?

The top searched job categories for Remote Land Title Abstractor jobs in Virginia are:

What cities in Virginia are hiring for Remote Land Title Abstractor jobs?

Cities in Virginia with the most Remote Land Title Abstractor job openings:

Infographic showing various Remote Land Title Abstractor job openings in Virginia as of August 2026, with employment types broken down into 79% Full Time, 19% Part Time, 1% Temporary, and 1% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution.

Sr. Associate, Artificial Intelligence

L3Harris Technologies

Chantilly, VA • On-site, Remote

$84K - $156K/yr

Full-time

Medical, Retirement, PTO

Posted 10 days ago


Job description

L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers' mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do.

L3Harris is the Trusted Disruptor in defense tech. With customers' mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security.

Job Title: Sr. Associate, Artificial Intelligence

Job Location: Rochester, NY, Herndon, VA, Melbourne, FL or Remote

Job ID: 43404

Job Description:

The SMS Artificial Intelligence (AI) team is seeking an individual with strong working knowledge in application development, machine learning, and artificial intelligence to support the research and development of AI solutions that contribute to internal and external product offerings.

Essential Functions:

  • Work with domain experts to identify which problems can and should be solved with machine learning
  • Clearly translate domain-specific problems into solutions using data-driven models
  • Actively contribute to the improvement of MLOps and data pipelines with the current team
  • Work with multi-domain datasets and phenomenologies to develop effective data plans
  • Perform data curation and exploratory data analysis
  • Ensure proper regression testing, validation, and documentation of ML models
  • Identify relevant pre-trained models and integrate into solution pipelines
  • Identify state-of-the-art (SotA) foundation models and standardize use in larger AI solutions
  • Implement, maintain, and optimize containerization for seamless deployment, scaling of AI / ML workloads, and sharing with other teams for easy reproduction

Qualifications:

To be eligible, applicants must be pursuing a Master's Degree in Artificial Intelligence, Computer Engineering, Computer Science, Mathematics or have completed their Master's degree within the last 12 months, regardless of age.

Preferred Additional Skills:

  • Proficiency with Differentiable Programming libraries (e.g., PyTorch, TensorFlow)
  • Proficiency with Database Manipulation libraries (e.g., SQL, NoSQL, Pandas, PySpark)
  • Proficiency with Python and building Virtual Environments (e.g., Conda, UV, Docker)
  • Demonstrable experience developing models using classical and SotA Machine Learning
  • Experience maintaining training and inference infrastructure for ML models

PAY TRANSPARENCY:In compliance with pay transparency requirements, the salary range for this role in California, Massachusetts, New Jersey, Washington, and the Greater D.C, Denver, or NYC areas is $84,500 - $156,500. The salary range for this role in Colorado state, Hawaii, Illinois, Maryland, Minnesota, New York state, Cleveland Ohio, and Vermont is $73,000 - $136,000. This is not a guarantee of compensation or salary, as final offer amount may vary based on factors including but not limited to experience and geographic location. L3Harris also offers a variety of benefits, including health and disability insurance, 401(k) match, flexible spending accounts, EAP, educationassistance, parental leave, paid time off, and company-paid holidays. The specific programs and options available to an employee may vary depending on date of hire, schedule type, and the applicability of collective bargaining agreements.

L3Harris Technologies is proud to be an Equal Opportunity Employer. L3Harris is committed to treating all employees and applicants for employment with respect and dignity and maintaining a workplace that is free from unlawful discrimination. All applicants will be considered for employment without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender (including pregnancy, childbirth, breastfeeding or other related medical conditions), gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, characteristic or membership in any other group protected by federal, state or local laws. L3Harris maintains a drug-free workplace and performs pre-employment substance abuse testing and background checks, where permitted by law.

Please be aware many of our positions require the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information.

By submitting your resume for this position, you understand and agree that L3Harris Technologies may share your resume, as well as any other related personal information or documentation you provide, with its subsidiaries and affiliated companies for the purpose of considering you for other available positions.

L3Harris Technologies is an E-Verify Employer. Please click here for the E-Verify Poster in English or Spanish. For information regarding your Right To Work, please click here for English or Spanish.

Employment Type: Full-Time