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Co Op Data Analyst Ai Jobs (NOW HIRING)

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 ...

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 ...

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 ...

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 ...

Data Engineer Co-Op

Meridian, MS · On-site

$21 - $25/hr

Design, develop, and deploy machine learning models to support predictive analytics, classification ... Data Engineer Co-op Required Skills & Qualifications * Second-semester freshman standing or higher ...

Co-op, AME

Avon, OH · On-site

$19 - $26/hr

Co-op opportunity for Computer Science, Computer Engineering, and Data Analytics majors. In this ... Explore opportunities for AI integration to enhance processes at Bendix. Eligibility Requirements:

Be Seen First

ABOUT THE ROLE ----- EliteUS is hiring an AI/ML Engineering Co-op to work alongside our engineering ... data fields. WHAT YOU'LL DO ----- - Build, fine-tune, and evaluate machine learning models for ...

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

As of Jul 30, 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.
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Infographic showing various Co Op Data Analyst Ai job openings in the United States as of July 2026, with employment types broken down into 73% Full Time, 24% Part Time, and 3% Contract. Highlights an 65% Physical, 3% Hybrid, and 32% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

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Re-posted 18 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