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Data Extraction Jobs (NOW HIRING)

Lila Sciences

Co-Op, Data Extraction

Cambridge, MA

As a Data Extraction Co-Op, you will work alongside research scientists and engineers on a focused sub-problem in this stack. You will get hands-on experience fine-tuning and evaluating extraction ...

Lila Sciences

Co-Op, Data Extraction

Cambridge, MA · On-site

As a Data Extraction Co-Op, you will work alongside research scientists and engineers on a focused sub-problem in this stack. You will get hands-on experience fine-tuning and evaluating extraction ...

Pivotal Health

Staff Software Engineer, Data Extraction

$117K - $140K/yr

They are seeking a Staff Software Engineer focused on Data Extraction to design and build systems for ingesting and processing healthcare data, improving data quality, and supporting provider ...

New

The Pennsylvania State University

$17/hr

AND POSITION REQUIREMENTS The Population Research Institute is seeking applicants for part-time job of Data Extraction Programming, an upper-level undergraduate computer programmer or other qualified ...

Robert Half

Data Analyst

Tallahassee, FL · On-site

$20 - $28/hr

Write and execute SQL queries to extract, manipulate, and analyze data from relational databases * Clean, transform, and organize large datasets to ensure data accuracy and integrity * Develop ...

Mindlance

Data Scientist

Franklin Lakes, NJ · On-site

They are seeking a Data Scientist to work on data extraction, processing, and applying machine learning techniques to large datasets. The role requires strong programming skills and the ability to ...

Omega Hires

Data Analyst

Charlotte, NC · On-site

Responsibilities: - Perform data extraction, transformation using SQL and data wrangling tools - Analyze and interpret complex data sets to identify patterns, trends, and insights - Develop and ...

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Data Extraction information

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How much do data extraction jobs pay per hour?

As of Jun 14, 2026, the average hourly pay for data extraction in the United States is $28.18, according to ZipRecruiter salary data. Most workers in this role earn between $15.14 and $31.25 per hour, depending on experience, location, and employer.

What are the typical daily responsibilities for someone working in Data Extraction?

Professionals in Data Extraction typically spend their days gathering data from a variety of sources—such as databases, websites, or documents—using specialized tools or scripts. They are responsible for cleaning, formatting, and validating this data to ensure accuracy and consistency before delivering it to analysts or other stakeholders. Collaborating with data analysts, IT teams, and business units is common to clarify data requirements and resolve any discrepancies. Most roles involve a mix of independent technical work and teamwork, with some positions requiring regular reporting or documentation of data extraction processes.

What are the key skills and qualifications needed to thrive in the Data Extraction position, and why are they important?

To excel in Data Extraction, candidates should have strong analytical skills, attention to detail, and a background in data management or computer science. Experience with extraction tools and programming languages such as SQL, Python, R, or ETL platforms, as well as familiarity with data governance standards, is often required. Strong organizational, problem-solving, and communication skills help professionals handle complex datasets and collaborate effectively across teams. These competencies ensure accurate, efficient data retrieval and support informed business decisions.

What is a Data Extraction job?

A Data Extraction job involves collecting and retrieving data from various sources, such as databases, documents, websites, and APIs. This data is then transformed, cleaned, and structured for analysis or storage. Professionals in this role use tools like SQL, Python, or web scraping technologies to automate the process. Data extraction is essential for businesses to gain insights, make data-driven decisions, and streamline operations.

More about Data Extraction jobs
What cities are hiring for Data Extraction jobs? Cities with the most Data Extraction job openings:
What are the most commonly searched types of Data Extraction jobs? The most popular types of Data Extraction jobs are:
What states have the most Data Extraction jobs? States with the most job openings for Data Extraction jobs include:
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Data Extraction jobs near you
Infographic showing various Data Extraction job openings in the United States as of June 2026, with employment types broken down into 5% As Needed, 5% Full Time, 74% Part Time, and 16% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $58,613 per year, or $28.2 per hour.

Co-Op, Data Extraction

Lila Sciences

Cambridge, MA

Other

Posted 3 days ago

Job description

Your Impact at LILA

Lila Sciences builds AI systems that accelerate discovery across the physical and life sciences. Within Physical Sciences AI, our team works on turning unstructured scientific knowledge (e.g., literature, patents, technical reports) into structured signals that power downstream Lila applications. As a Data Extraction Co-Op, you will work alongside research scientists and engineers on a focused sub-problem in this stack. You will get hands-on experience fine-tuning and evaluating extraction models, building pipelines for messy real-world data, and shipping work that flows into production systems.

What You'll Be Building

  • Contribute to AI systems that extract and structure knowledge from scientific literature and patents, focused on a well-defined sub-problem
  • Fine-tune and evaluate language, multimodal, or specialized models for data extraction, with mentor guidance
  • Build and test pipelines that structure unstructured scientific data across text, tables, and visuals
  • Run extraction pipelines, analyze results, and document findings clearly
  • Share your work through a team presentation, write-up, or contribution to a publication or open-source project

What You'll Need to Succeed

  • Pursuing a Bachelor's, Master's, or PhD in Computer Science, Chemistry, Materials Science, or a related field
  • Solid foundation in machine learning fundamentals and Python
  • Familiarity with NLP or computer vision concepts
  • Curiosity about scientific data and willingness to learn quickly in a research setting

Bonus Points For

  • Coursework or projects involving multimodal models or document understanding (OCR, table/figure extraction)
  • Experience working with messy, real-world datasets
  • Interest in scientific document parsing

Apply