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$13

$24

$38

How much do remote data abstractor jobs pay per hour?

As of May 29, 2026, the average hourly pay for remote data abstractor in Pittsburgh, PA is $24.59, according to ZipRecruiter salary data. Most workers in this role earn between $17.98 and $31.06 per hour, depending on experience, location, and employer.

What Does a Remote Data Abstractor Do?

As a remote data abstractor, you work from home to review and assess clinical data in medical records to verify compliance with health care standards and company regulations. Your duties and responsibilities include abstracting key information from charts, performing clinical auditing, and entering data into a database. You are also responsible for ensuring that electronic records are complete and accurate, and for identifying opportunities for improvement in the data collection and auditing workflow. Patient safety initiatives and quality of care are at the top of your priorities, so you must be meticulously analytical, with strong strategic-thinking skills.

What are the key skills and qualifications needed to thrive as a Remote Data Abstractor, and why are they important?

To thrive as a Remote Data Abstractor, you need a detail-oriented approach, strong analytical skills, and a background in healthcare or clinical data—often supported by a relevant degree or certification. Familiarity with electronic health record (EHR) systems, medical coding software, and secure data transfer platforms is typically required. Excellent written communication, time management, and the ability to work independently make someone stand out in this position. These skills ensure accurate, timely extraction and reporting of critical healthcare data, directly impacting patient care and regulatory compliance.

What are the typical challenges faced by a Remote Data Abstractor, and how can they be addressed?

Remote Data Abstractors often encounter challenges such as interpreting inconsistent documentation, maintaining data accuracy, and managing time effectively when working independently. To overcome these issues, it's important to develop strong attention to detail, become familiar with common data sources and terminology, and establish clear communication channels with supervisors or clinical teams for clarification. Utilizing secure and reliable technology, as well as following established protocols, also helps ensure data quality and workflow efficiency.

What is a Remote Data Abstractor?

A Remote Data Abstractor is a professional who reviews and extracts specific information from data sources, such as medical records or databases, while working remotely. Their primary role is to identify and collect relevant data points, ensuring accuracy and completeness for reporting, research, or compliance purposes. They often work in healthcare, insurance, or research settings and must adhere to privacy regulations like HIPAA. Strong attention to detail, data entry skills, and knowledge of electronic health records (EHR) systems are typically required. Remote Data Abstractors play a critical role in supporting data-driven decision-making from a remote location.

What is the difference between Remote Data Abstractor vs Remote Data Entry Clerk?

AspectRemote Data AbstractorRemote Data Entry Clerk
Required CredentialsHigh school diploma or equivalent; familiarity with medical records or databasesHigh school diploma or equivalent; basic computer skills
Work EnvironmentHealthcare or research organizations; remoteVarious industries; remote
Employer & Industry UsageHospitals, research firms, insurance companiesRetail, finance, healthcare, general administrative tasks
Common Search & ComparisonYesNo

The main difference is that Remote Data Abstractors focus on reviewing and summarizing complex data, often in healthcare or research settings, requiring specific knowledge of records. Remote Data Entry Clerks primarily input data into systems, with less emphasis on data analysis or review. Both roles are remote and require basic computer skills, but their responsibilities and industry applications differ.

More about Remote Data Abstractor jobs
What are popular job titles related to Remote Data Abstractor jobs in Pittsburgh, PA? For Remote Data Abstractor jobs in Pittsburgh, PA, the most frequently searched job titles are:
What job categories do people searching Remote Data Abstractor jobs in Pittsburgh, PA look for? The top searched job categories for Remote Data Abstractor jobs in Pittsburgh, PA are:
What cities near Pittsburgh, PA are hiring for Remote Data Abstractor jobs? Cities near Pittsburgh, PA with the most Remote Data Abstractor job openings:
Remote Data Abstractor jobs near you
Infographic showing various Remote Data Abstractor job openings in Pittsburgh, PA as of May 2026, with employment types broken down into 56% Full Time, and 44% Part Time. Highlights an 100% Remote job distribution, with an average salary of $51,150 per year, or $24.6 per hour.
AI Data Expert | English | Remote

AI Data Expert | English | Remote

LILT (Production)

Pittsburgh, PA • Remote

Contractor

Posted 13 days ago

Job description

About The Opportunity

We are seeking detail-oriented human reviewers with a strong understanding of their local cultural context to support a range of AI training and evaluation projects.

In this role, you will work across diverse task types, including evaluating prompts and AI-generated outputs, reviewing and correcting text, analyzing multimedia content, contributing voice recordings, among others.

You will contribute to ensuring high-quality results by applying careful judgment to factors such as accuracy, clarity, cultural appropriateness, brand alignment, and overall effectiveness in meeting task objectives. This work requires strong analytical skills, attention to detail, and nuanced judgment informed by real-world standards, local norms, and market expectations.

What You’ll Deliver

  • Depending on the task, you may be asked to generate original content or assess AI-generated outputs.

  • Deliver culturally relevant and appropriate content by applying local insight into tone, symbolism, visual cues, and market fit.

  • Spot common issues such as visual artefacts, inconsistent style, translation errors, or cultural mismatches.

  • Provide concise, structured annotations that can be used directly for model improvement.

  • Apply evaluation guidelines consistently and participate in calibration and QA processes to ensure aligned scoring and judgment standards

Qualifications

  • Native fluency in the target language

  • Experience as AI reviewer, annotator, or evaluator preferred

  • Comfortable working with both textual and audio/video materials

  • Ability to follow detailed guidelines consistently and provide clear feedback

  • High attention to detail and ability to thoroughly and accurately categorize content

Why Collaborate with Lilt?

  • Your schedule, your rules. As an independent contractor, work when you want, as much or as little as you want. No fixed hours, no check-ins, no micromanaging.

  • Get paid quickly and fairly. We respect your time and your expertise. Competitive rates, prompt payments, no chasing invoices.

  • Work on projects that actually matter. Contribute to cutting-edge AI and language technology that is shaping how humans and machines communicate.

  • Be part of something bigger. Join a global community of linguists, subject matter experts, and language professionals who are advancing human knowledge together.

  • Grow without limits. As a Lilt contractor you get access to diverse, innovative projects that expand your portfolio and sharpen your skills across industries and domains.

  • Earn recognition for great work. Top contributors unlock higher rates, priority project access, and a platform to be seen as the expert you are.

  • Have fun doing what you love. Bring your language skills to life on projects that are as interesting as they are impactful.

How to join our expert community

1 - Submit your application including an updated copy of your CV in English

2 - Complete a short assessment in SuperAnnotate to evaluate your annotation skills

3 - Finalize onboarding and profile set-up in our system, and become eligible for Applied AI projects.

AI is changing how the world communicates — and LILT is leading that transformation.

LILT's mission is to make the world's information available to everyone, no matter the language they speak. Join our global community who thrive on innovation and excellence. Our collective knowledge, uniqueness, and skills deliver multilingual AI and human-verified services to Enterprises, Governments, and AI Developers around the world.

Earn money. Have fun. Advance human knowledge. Work on diverse projects from anywhere, any time you want. Get paid quickly and fairly, and build your professional network in a supportive community—all through a streamlined application process tailored to your expertise.

Information collected and processed as part of your application process, including any job applications you choose to submit, is subject to LILT's Privacy Policy at https://lilt.com/legal/privacy.

At LILT, we are committed to a fair, inclusive, and transparent hiring process. As part of our recruitment efforts, we may use artificial intelligence (AI) and automated tools to assist in the evaluation of applications, including résumé screening, assessment scoring, and interview analysis. These tools are designed to support human decision-making and help us identify qualified candidates efficiently and objectively. All final hiring decisions are made by people. If you have any concerns, require accommodations, or would like to opt-out of the use of AI in our hiring process, please let us know at recruiting@lilt.com.

LILT is an equal opportunity employer. We extend equal opportunity to all individuals without regard to an individual’s race, religion, color, national origin, ancestry, sex, sexual orientation, gender identity, age, physical or mental disability, medical condition, genetic characteristics, veteran or marital status, pregnancy, or any other classification protected by applicable local, state or federal laws. We are committed to the principles of fair employment and the elimination of all discriminatory practices.