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Co Op Data Analyst Ai Jobs (NOW HIRING)

Lila Sciences

Co-Op, Data Extraction

Cambridge, MA · On-site

Within Physical Sciences AI, our team works on turning unstructured scientific knowledge (e.g ... Run extraction pipelines, analyze results, and document findings clearly * Share your work through ...

Lila Sciences

Co-Op, Data Extraction

Cambridge, MA

Within Physical Sciences AI, our team works on turning unstructured scientific knowledge (e.g ... Run extraction pipelines, analyze results, and document findings clearly * Share your work through ...

IBM

Co-Op Data Engineer - 2027

University Park, PA · On-site

Exposure to tools like Copilot, ChatGPT, or similar AI assistants to research, write, analyze, and ... Job Title Co-Op Data Engineer 2027 Date posted 13-Aug-2026 Job ID 128562 City / Township / Village ...

IBM

Co-Op Data Engineer - 2027

State College, PA · On-site

... analytics, AI adoption, generative AI, and agentic AI-enabled transformation, working alongside ... Your role and responsibilities During your Co-Op, you can build data science and AI skills by ...

New

IBM

Co-Op Data Engineer - 2027

University Park, PA · On-site

... analytics, AI adoption, generative AI, and agentic AI-enabled transformation, working alongside ... Your role and responsibilities During your Co-Op, you can build data science and AI skills by ...

Lila Sciences

Co-Op, Data Extraction

Cambridge, MA · On-site

Within Physical Sciences AI, our team works on turning unstructured scientific knowledge (e.g ... Run extraction pipelines, analyze results, and document findings clearly * Share your work through ...

IBM

Co-Op Data Scientist 2027

University Park, PA · On-site

Mentored Analytical Support: Receive mentorship from diverse professionals in science engineering ... Generative Artificial Intelligence (AI): Work alongside experienced practitioners to implement ...

IBM

Co-Op Data Scientist 2027

University Park, PA · On-site

You'll work with visionaries across multiple industries to improve the hybrid cloud and AI journey ... Work experiences you could be exposed to: • Mentored Analytical Support: Receive mentorship from ...

New

ArcelorMittal

Data Analytics Co-Op

Detroit, MI · On-site

Data Analytics Co-Op Location: Detroit, MI Who Are We? Are you ready to be part of a dynamic and rapidly growing company that's shaping the future? Welcome to ArcelorMittal Tailored Blanks (AMTB ...

ArcelorMittal

Data Analytics Co-Op

Detroit, MI · On-site

Data Analytics Co-Op Location: Detroit, MI Who Are We? Are you ready to be part of a dynamic and rapidly growing company that's shaping the future? Welcome to ArcelorMittal Tailored Blanks (AMTB ...

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How much do co op data analyst ai jobs pay per year?

As of Aug 19, 2026, the average yearly pay for co op data analyst ai in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

How much does a Co Op Data Analyst AI make a year?

A Co Op Data Analyst AI typically earns between $20,000 and $40,000 annually, depending on the location, company, and level of experience. Internships or co-op positions often offer lower compensation compared to full-time roles but provide valuable industry experience in data analysis and AI tools.

Is a data analyst in demand with AI?

Data analysts with AI skills are in high demand as organizations seek to leverage machine learning, automation, and data-driven insights. Proficiency in programming languages like Python or R, along with knowledge of AI tools and techniques, enhances job prospects in this evolving field.

What does a Co Op Data Analyst AI do?

A Co Op Data Analyst AI assists in analyzing large datasets using artificial intelligence and machine learning techniques to identify patterns and insights. They often work with tools like Python, R, or specialized AI platforms, supporting data-driven decision-making within a team environment. The role typically involves data cleaning, modeling, and reporting to help organizations optimize processes and strategies.
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Co Op Data Analyst Ai jobs near you
Infographic showing various Co Op Data Analyst Ai job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Co-Op, Data Extraction

Lila Sciences

Cambridge, MA • On-site

Other

Re-posted 8 days ago

Job description

Co-Op, Data Extraction

Cambridge, MA USA

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

About LILA

Lila Sciences is building Scientific Superintelligence™ to solve humankind's greatest challenges. We believe science is the most inspiring frontier for AI. Rather than hard-coding expert knowledge into tools, LILA builds systems that can learn for themselves.

LILA combines advanced AI models with proprietary AI Science Factory™ instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery at unprecedented speed, scale, and impact across medicine, materials, and energy. Learn more at www.lila.ai.

Guided by our core values of truth, trust, curiosity, grit, and velocity, we move with startup speed while tackling problems of historic importance. If this sounds like an environment you'd love to work in, even if you don't meet every qualification listed above, we encourage you to apply.

We're All In

Lila Sciences is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.

Information you provide during your application process will be handled in accordance with our Candidate Privacy Policy.

A Note to Agencies

Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science's internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto.

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