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Computer Co Op Jobs in Randolph, MA (NOW HIRING)

Lila Sciences

Co-Op, Data Extraction

Cambridge, MA · On-site

Co-Op, Data Extraction Cambridge, MA USA Your Impact at LILA Lila Sciences builds AI systems that ... Pursuing a Bachelor's, Master's, or PhD in Computer Science, Chemistry, Materials Science, or a ...

Waters Corporation

Plumbing Co-op

Milford, MA

Overview Waters Corporation is seeking a talented and motivated high school Co-Op plumbing student ... Computer literacy with basic understanding of Microsoft Office * Ability to follow written and ...

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 ... Pursuing a Bachelor's, Master's, or PhD in Computer Science, Chemistry, Materials Science, or a ...

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Showing results 21-40

All JobsComputer Co Op JobsComputer Co Op Jobs in Randolph, MA

Computer Co Op information

See Randolph, MA salary details

$34.2K

$49.2K

$64.7K

How much do computer co op jobs pay per year?

As of Aug 9, 2026, the average yearly pay for computer co op in Randolph, MA is $49,248.00, according to ZipRecruiter salary data. Most workers in this role earn between $38,700.00 and $56,600.00 per year, depending on experience, location, and employer.

What is the difference between Computer Co Op vs Computer Technician?

AspectComputer Co OpComputer Technician
CredentialsTypically enrolled in or recently graduated from a computer-related programOften certified (e.g., CompTIA A+), with relevant technical training
Work EnvironmentInternship setting, often in corporate or educational environmentsHands-on repair and maintenance in repair shops, offices, or client sites
Employer & IndustryEmployers seeking interns or entry-level support roles in tech companiesEmployers providing technical support, repair, and troubleshooting services

Computer Co Op positions are typically internships for students gaining experience, while Computer Technicians are trained professionals performing repairs and support. Both roles involve technical skills, but Co Op roles focus on learning and development, whereas Technicians focus on hands-on problem solving.

What are the most commonly searched types of Computer jobs in Randolph, MA? The most popular types of Computer jobs in Randolph, MA are:
What cities near Randolph, MA are hiring for Computer Co Op jobs? Cities near Randolph, MA with the most Computer Co Op job openings:
Computer Co Op jobs near you
Infographic showing various Computer Co Op job openings in Randolph, MA as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 18% Part Time, 2% Contract, and 1% Nights. Highlights an 80% Physical, 1% Hybrid, and 19% Remote job distribution, with an average salary of $49,248 per year, or $23.7 per hour.

Co-Op, Data Extraction

Lila Sciences

Cambridge, MA • On-site

Other

Re-posted 28 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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