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Remote Forensic Lab Internships Jobs in Chicago, IL

Remote Forensic Lab Internships information

What is a remote forensic lab internship?

Remote forensic lab internships are training programs that allow students or recent graduates to gain practical experience in forensic science from a remote location. These internships typically involve tasks such as analyzing digital evidence, participating in virtual lab simulations, conducting research, and assisting with casework under the supervision of experienced forensic professionals. Participants communicate and collaborate with their mentors and teams online, using various digital tools and platforms. Remote internships offer flexibility and the opportunity to develop relevant skills without the need to be physically present at a forensic laboratory. They are especially valuable for those who may not have local access to forensic facilities.

What do remote forensic lab interns do?

During a remote forensic lab internship, you can expect to assist with digital casework, such as analyzing electronic evidence, conducting research on forensic methodologies, and supporting the documentation of findings. Tasks often include reviewing case files, learning to use forensic software, and participating in virtual team meetings to discuss ongoing investigations. While hands-on laboratory work may be limited, you will still gain valuable experience with data analysis, report writing, and collaborative problem-solving. These internships often provide mentorship and expose you to real-world forensic processes, helping you build skills essential for a future career in forensic science.

What skills and qualifications are needed to thrive as a remote forensic lab intern?

To thrive as a Remote Forensic Lab Intern, you need a foundational understanding of forensic science principles, attention to detail, and current enrollment in or recent completion of a relevant degree program. Familiarity with laboratory information management systems (LIMS), digital forensics software, and data analysis tools is typically required. Strong written communication, self-motivation, and problem-solving skills help interns excel in virtual and collaborative environments. These skills ensure accurate evidence handling, effective teamwork, and meaningful contributions to forensic investigations even when working remotely.

What is the difference between Remote Forensic Lab Internships vs Remote Digital Forensic Analyst Internships?

AspectRemote Forensic Lab InternshipsRemote Digital Forensic Analyst Internships
Required CredentialsTypically enrolled in criminal justice, forensic science, or related programsOften requires knowledge of digital forensics, cybersecurity, or computer science
Work EnvironmentLaboratory setting, handling physical evidenceDigital environment, analyzing electronic data
Employer & Industry UsageLaw enforcement agencies, forensic labsCybersecurity firms, law enforcement, private investigation
Common Search & ComparisonInternship opportunities in forensic labsInternships in digital forensics analysis

Remote Forensic Lab Internships focus on physical evidence analysis in a lab setting, often requiring forensic science background. In contrast, Remote Digital Forensic Analyst Internships involve analyzing electronic data and cybersecurity issues. Both roles are essential in forensic investigations but differ in environment, skills, and industry focus.

What are the most commonly searched types of Forensic Lab Internships jobs in Chicago, IL?

The most popular types of Forensic Lab Internships jobs in Chicago, IL are:

What are popular job titles related to Remote Forensic Lab Internships jobs in Chicago, IL?

For Remote Forensic Lab Internships jobs in Chicago, IL, the most frequently searched job titles are:

What job categories do people searching Remote Forensic Lab Internships jobs in Chicago, IL look for?

The top searched job categories for Remote Forensic Lab Internships jobs in Chicago, IL are:

Forward Deployed Engineer

David Joseph & Company

Chicago, IL • Remote

$180K - $250K/yr

Full-time

Medical

Posted 9 days ago


Job description

Remote (US) · ~40–50% travel · Full-time
Compensation: $144K–$200K base ($180K–$250K OTE) + equity

About the Company

Our client is a well-funded, growth-stage computer vision / physical-AI company whose platform is used by more than a million developers and a large share of the Fortune 100, primarily across manufacturing and industrial settings. They help the world's largest companies take vision models from proof-of-concept to real production on the factory floor.

Founded 2019 · ~70 people · Industry: AI, Software Development, Devtools

The Role

You'll take computer vision deployments from proof-of-concept to production at major manufacturing, logistics, and industrial organizations. This is a hands-on, 0-to-1 builder role for someone who thrives in ambiguous, real-world environments — embedding directly with customer teams and shipping production-grade systems that hold up outside the lab.

What you'll be doing

  • Embed with customers on-site (roughly a quarter to half your time) to take validated POCs to first production deployment.
  • Build and configure data pipelines, edge devices, and vision models in real physical environments like factories, warehouses, and construction sites.
  • Act as the field's voice back to Product and Engineering — surfacing the gap between what customers ask for and what they actually need.
  • Write production-grade Python and handle the messy realities of real-world CV: lighting, camera calibration, model drift, and edge hardware limits.
  • Document deployment architectures, write runbooks, and hand off cleanly once customers are running independently.

Tech stack: Python, Docker, Kubernetes, Linux, NVIDIA Jetson, computer vision, ML/MLOps, edge computing, industrial cameras

Requirements
  • Roughly 1–8 years in a forward-deployed, field, solutions-architect, or customer-facing software engineering role. A junior path (1–3 years) works with strong FAANG-tier internships plus time at a leading FDE company, high-growth startup, or in a customer-facing SWE role.
  • Direct ownership of a customer-facing technical deployment end to end — from initial build through customer adoption and post-launch support.
  • Strong Python plus real systems-level experience (Docker, Kubernetes, networking, Linux).
  • Automation, mechanical, or industrial engineers with strong software engineering skills are welcome.
  • A BS in computer science, engineering, or a related technical field.
  • Highly motivated, coachable, and low-ego — eager to learn, open to feedback, and a genuine team player.
  • Able to communicate and build trust with everyone from executives to engineers to floor operators.
  • Willing to travel 40–50% for on-site deployments; a Midwest base (Chicago / Indianapolis area) is strongly preferred.
Nice to Haves
  • Background in manufacturing, logistics, automotive, or robotics/automation.
  • Familiarity with MLOps and CV tooling — model versioning, monitoring, and retraining pipelines.
Why Join
  • Join a company with genuine traction: a platform already used at massive scale by household-name enterprises.
  • Strong, uncapped OTE plus equity and a generous benefits package, including full health coverage and travel, productivity, and AI-tools stipends.
  • Remote-first across the US with optional hubs and a relocation bonus, plus a flexible, async-friendly culture.
  • A career-defining field role where you own real production outcomes for major customers.
Details
  • Location: Remote (US); Midwest strongly preferred (Chicago, Indianapolis, Cleveland); NYC/SF/DC hubs
  • Work policy: Remote with ~40–50% travel for on-site customer deployments
  • Compensation: $144K–$200K base ($180K–$250K OTE) + equity
  • Visa sponsorship: Not available — US work authorization required (US citizen / Green Card)
  • Employment type: Full-time