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Ai Data Abstraction Jobs (NOW HIRING)

Tempus

Strategy & Operations Associate

Chicago, IL · On-site

Interested in AI-enabled operations: You are excited by the opportunity to help a large-scale clinical data team transition to AI-enabled abstraction and are motivated by finding practical ways AI ...

Tempus

Strategy & Operations Associate

Chicago, IL

Interested in AI-enabled operations: You are excited by the opportunity to help a large-scale clinical data team transition to AI-enabled abstraction and are motivated by finding practical ways AI ...

Transformcap

Clinical Data Abstractor

San Mateo, CA · On-site

By uniquely combining data, AI, and community, Citizen is building a personalized AI advocate ... You'll work closely with our clinical teams to ensure the highest quality abstraction of patient ...

Warner Bros. Discovery

Sr. Data Architect

Atlanta, GA · On-site

$64.75 - $86.50/hr

Responsibilities : • Architect the AI Context Layer: Define the vision, requirements, and roadmap ... Design and deploy semantic abstraction layers (using native platform capabilities like Snowflake ...

Eridu AI

NY · On-site

Lead SAI/SONiC SDK development, enabling performant control plane stack by defining abstraction ... performance of AI data centers. The starting base salary for the selected candidate will be ...

Warnerbros

Sr. Data Architect

Atlanta, GA · On-site

$64.75 - $86.50/hr

Architect the AI Context Layer: Define the vision, requirements, and roadmap for an Enterprise ... Design and deploy semantic abstraction layers (using native platform capabilities like Snowflake ...

Warner Bros. Discovery

Sr. Data Architect

Atlanta, GA · On-site

$64.75 - $86.50/hr

Architect the AI Context Layer: Define the vision, requirements, and roadmap for an Enterprise ... Design and deploy semantic abstraction layers (using native platform capabilities like Snowflake ...

LPL Financial

Principal AI Architect

Fort Mill, SC · On-site

Design and govern the Data Access Layer for the AI platform, including secure and scalable access to structured and unstructured data sources, data abstraction and query interfaces, connection to ...

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Ai Data Abstraction information

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$39

How much do ai data abstraction jobs pay per hour?

As of Sep 10, 2026, the average hourly pay for ai data abstraction in the United States is $25.33, according to ZipRecruiter salary data. Most workers in this role earn between $18.51 and $31.97 per hour, depending on experience, location, and employer.

What is AI data abstraction?

AI data abstraction is the process of extracting, organizing, and summarizing information from large datasets using artificial intelligence techniques. This role often involves identifying relevant data, cleaning and structuring it, and transforming it into formats suitable for further analysis or machine learning tasks. Professionals in AI data abstraction help ensure that only the most meaningful and actionable information is retained, making it easier for organizations to derive insights and make data-driven decisions.

What are the key skills and qualifications needed to thrive as an AI data abstraction specialist, and why are they important?

To thrive as an AI Data Abstraction Specialist, you need a strong background in data analysis, attention to detail, and familiarity with data management, typically supported by a degree in computer science, information systems, or a related field. Proficiency with data annotation tools, machine learning platforms, and database systems is often required, along with knowledge of programming languages such as Python or SQL. Strong problem-solving skills, communication, and the ability to work collaboratively are essential soft skills for this role. These skills ensure accurate data extraction, high-quality datasets, and effective support for AI model development.

What are some common challenges faced in AI data abstraction roles and how can they be addressed?

Professionals in AI Data Abstraction often encounter challenges such as ensuring data accuracy, dealing with incomplete or inconsistent data sources, and maintaining data privacy standards. Collaborating closely with data engineers and domain experts can help clarify ambiguities and improve data quality. Regular training on data handling protocols and leveraging automated validation tools can also minimize errors and streamline the abstraction process. Adapting to evolving project requirements and maintaining clear documentation are essential for long-term success in this role.

What is the difference between Ai Data Abstraction vs Data Analyst?

AspectAi Data AbstractionData Analyst
Required CredentialsTypically requires knowledge of AI, data processing, and programming skillsRequires proficiency in data analysis, statistics, and often a degree in related fields
Work EnvironmentOften involves working with AI models, machine learning tools, and large datasetsFocuses on interpreting data, creating reports, and supporting decision-making
Industry UsageUsed in AI development, data engineering, and machine learning projectsCommon in business intelligence, marketing, finance, and operations

While both roles handle data, Ai Data Abstraction focuses on preparing and structuring data for AI models, whereas Data Analysts interpret data to generate insights. Understanding these differences helps in choosing the right career path or job focus within data-related fields.

How to become a data abstractor?

To become a data abstractor, you typically need a high school diploma or equivalent, strong attention to detail, and proficiency in data management tools like spreadsheets or database software. Relevant skills include reading comprehension, accuracy, and sometimes certification in health information or data management. Gaining experience through training programs or entry-level positions can also help establish a career in data abstraction.

What other helpful pages are available for Ai Data Abstraction?

Other pages related to Ai Data Abstraction:

Infographic showing various Ai Data Abstraction job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 83% Full Time, 12% Part Time, and 3% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $52,687 per year, or $25.3 per hour.

Clinical Quality Data Abstraction Specialist - CathPCI (Contractor)

Remote

Layer Health
See more jobs at Layer Healthexternal

$28 - $35/hr

Full-time, Part-time

Re-posted 8 days ago

Job description

Layer Health was founded in 2023 by leading machine learning researchers from MIT and Harvard Medical School. We are building an AI layer that can accurately and scalably synthesize information from medical records, with the mission to reduce friction everywhere in healthcare. Our LLM-powered platform is solving chart review once and for all, across use cases. For health systems, our first product dramatically accelerates clinical registry abstraction in areas ranging from surgery and cardiology, to oncology. Our long term vision is for our AI layer to safely transform patient care and minimize unnecessary heartbreak. Layer Health's diverse founding team brings expertise across machine learning, UI/UX, large language models, and medicine.
Here's a collection of articles about our product, mission, recent funding round, etc.
Job Description
We're building a team of clinical abstractors for our CathPCI work. This is a remote (US only) part time (~15 hours per week) contractor opportunity.
What you'll do
  • Assist with case abstraction under the direction of a Team Leader
  • Complete assigned abstractions in a timely manner
  • As a start up organization, roles and responsibilities often evolve and adapt over time. As such, this job description may not comprehensively account for future activities, responsibilities, and priorities-these may evolve right along with us!

What you'll need
  • 1+ years abstraction within the CathPCI Registry (this is a 100% requirement)
  • Exposure to multiple patient medical record systems (EMRs) and clinical databases.
  • Ability to thrive in a fast and ever-changing environment.

Expected compensation range for this role is $28-35/hour and this is a part time contractor role for ~15 hours per week. Compensation is dependent on experience, overall fit to our role, and candidate location. Expected compensation ranges for this role may change over time. If your compensation requirement is greater than our posted salary ranges, please still consider applying to our role. We will make a determination as to whether an exception can be made.
If you are excited about this role, we encourage you to apply even if you don't feel that you meet every single requirement. We're eager to meet people that believe in our mission and can contribute to our team in a variety of ways. We welcome diverse perspectives, rigorous thinking, and fearlessness in challenging the status quo.
Join us and help us transform healthcare with AI. Layer Health is committed to foster an environment of inclusion that is free from discrimination. We are an Equal Opportunity Employer where employment is decided on the basis of qualifications, merit, and business need. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected Veteran status, or any other characteristic protected by law.

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