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Internship Data Labeling Jobs in Indiana (NOW HIRING)

Pull, route, dress, and label low‑voltage cable (Cat5, Cat6, fiber) * Perform field terminations ... Have some cabling, low‑voltage, or data center exposure (school, internships, prior jobs ...

Pull, route, dress, and label low‑voltage cable (Cat5, Cat6, fiber) * Perform field terminations ... Have some cabling, low‑voltage, or data center exposure (school, internships, prior jobs ...

... labels/encryption, DLP policies, data classification/discovery, Insider Risk Management ... Prior internship, academic project, or entry-level experience in security or compliance is a plus.

$32.02 - $49.44/hr

Mentors newly graduated dietitians, dietetic interns, and clinical diet techs. * Applies research ... Ongoing need for employee to see and read information, labels, assess patient needs, operate ...

Product Specialist

Warsaw, IN · On-site +1

$56K - $70K/yr

Works across multiple internal and external groups such as design, packaging and labeling ... Biomet's data systems, provide meeting planning and support and assist with various projects as ...

Product Specialist

Indianapolis, IN · On-site +1

$56K - $70K/yr

Works across multiple internal and external groups such as design, packaging and labeling ... Biomet's data systems, provide meeting planning and support and assist with various projects as ...

Product Specialist

Fort Wayne, IN · On-site +1

$56K - $70K/yr

Works across multiple internal and external groups such as design, packaging and labeling ... Biomet's data systems, provide meeting planning and support and assist with various projects as ...

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Internship Data Labeling information

What is the difference between Internship Data Labeling vs Data Labeling Specialist?

AspectInternship Data LabelingData Labeling Specialist
CredentialsTypically students or entry-level with basic skillsRelevant experience or certifications in data annotation
Work EnvironmentInternship programs, often in tech or AI companiesFull-time or freelance roles in data annotation firms or tech companies
Industry UsageUsed as training or entry-level positionProfessional role with ongoing responsibilities
Search & Comparison IntentUnderstanding entry-level opportunities and trainingClarifying professional roles and career progression

Internship Data Labeling is an entry-level position designed for students or beginners gaining experience in data annotation. In contrast, Data Labeling Specialist is a professional role requiring prior experience or certifications, with more responsibility and independence. Internships serve as training grounds, while specialists handle ongoing data labeling tasks in a professional setting.

What types of tasks can I expect to handle daily as a Data Labeling Intern?

As a Data Labeling Intern, your daily tasks typically include reviewing and accurately tagging data such as images, audio, or text according to specific guidelines provided by the company or project. You may use specialized annotation tools and work closely with data scientists, engineers, or QA teams to ensure high-quality, consistent labeling. Attention to detail is crucial, as your work directly impacts the performance of machine learning models. You might also participate in periodic team meetings to discuss challenges, clarify instructions, and receive feedback to improve labeling accuracy.

What is an internship in data labeling?

An internship in data labeling involves assisting in the process of categorizing and annotating data, such as images, text, or audio, to help train machine learning models. Interns typically use specialized software to tag or classify data according to specific guidelines provided by the company or research team. This role is crucial for developing accurate artificial intelligence systems, as high-quality labeled data improves model performance. Data labeling internships are a great way to gain practical experience in the AI and machine learning field and learn more about data preprocessing workflows.

What are the key skills and qualifications needed to thrive as an Internship Data Labeling specialist, and why are they important?

To excel in an Internship Data Labeling role, you need strong attention to detail, basic analytical skills, and proficiency with data entry or spreadsheet tools, often supported by a high school diploma or current university enrollment. Familiarity with labeling platforms, annotation tools, and sometimes basic programming or database systems is beneficial. Reliability, communication, and the ability to follow instructions precisely are key soft skills for standing out in this position. These skills ensure data accuracy and consistency, which are crucial for developing reliable AI and machine learning models.
What are the most commonly searched types of Data Labeling jobs in Indiana? The most popular types of Data Labeling jobs in Indiana are:
What are popular job titles related to Internship Data Labeling jobs in Indiana? For Internship Data Labeling jobs in Indiana, the most frequently searched job titles are:
What cities in Indiana are hiring for Internship Data Labeling jobs? Cities in Indiana with the most Internship Data Labeling job openings:
Data Center Technician

Data Center Technician

TEKsystems

Fort Wayne, IN

$20 - $23/hr

Contractor

Medical, Dental, Vision, Life, Retirement, PTO

Posted 22 days ago


Job description

This role is ideal for individuals who already have some exposure to low‑voltage cabling, structured cabling, or data center environments and are looking to continue building their skills alongside experienced technicians.

If you’re early in your career and want hands‑on experience working with fiber, copper, racks, and network infrastructure in modern data centers, this is a strong next step.


Why This Role Is a Great Career Builder
  • Work in enterprise‑level data centers on real infrastructure
  • Gain exposure to fiber and copper cabling, racking, and testing
  • Learn from experienced technicians and leads
  • Develop skills that can move you toward Senior Technician, Lead Tech, or Fiber Specialist roles
  • Build a resume with highly in‑demand data center experience

What You’ll Do

You’ll work as part of a technician team installing and supporting data center cabling and network infrastructure, including:

Hands‑On Installation & Cabling
  • Install and decommission copper and fiber cabling infrastructure
  • Pull, route, dress, and label low‑voltage cable (Cat5, Cat6, fiber)
  • Perform field terminations and cable labeling
  • Assist with rack & stack of network and server equipment
  • Install ladder racking and seismic bracing (above and below raised floor)
  • Layout and dress MDF and IDF closets
Testing & Documentation (with Training as Needed)
  • Support copper and fiber testing and troubleshooting
  • Operate test equipment (DSX 5000 / OTDR) or learn under supervision
  • Upload and save results to LinkWare / LinkWare Live
  • Create and apply port‑map labels
  • Maintain clean, accurate documentation and paperwork
Field & Team Responsibilities
  • Follow all safety, quality, and data center best practices
  • Maintain clean, organized work areas
  • Communicate project updates to leads and managers
  • Work collaboratively with technicians, leads, and stakeholders
  • Read and interpret floor plans, blueprints, and design documents

Who This Role Is For

This position is well suited for candidates who:

  • Have some cabling, low‑voltage, or data center exposure (school, internships, prior jobs, military, or hands‑on experience)
  • Are comfortable with physical work (ladders, lifting, cable pulling)
  • Want to grow in data center infrastructure or structured cabling
  • Take pride in clean work, organization, and customer service
  • Are dependable, safety‑minded, and eager to learn

Required / Preferred Skills
  • Experience with cabling, racking, or data center environments
  • Familiarity with basic telecom hand tools
  • Understanding of wiring schemes and labeling practices
  • Comfortable pulling low‑voltage cable and working at heights
  • Ability to read floor plans and basic drawings
  • Strong communication and teamwork skills

Experience with fiber splicing, OTDR testing, or FIM databases is a plus


Physical Requirements
  • Ability to lift and carry up to 50 lbs
  • Ability to climb ladders and work on raised platforms
  • Extended periods of walking, standing, bending, and reaching
  • Manual dexterity to operate tools and technical equipment

Experience Level

Early Career / Intermediate

Perfect for technicians looking to build on their existing foundation and grow into more advanced data center roles.

Job Type & Location

This is a Contract position based out of Fort Wayne, IN.

Pay and Benefits

The pay range for this position is $20.00 - $23.00/hr.

Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following:
• Medical, dental & vision
• Critical Illness, Accident, and Hospital
• 401(k) Retirement Plan – Pre-tax and Roth post-tax contributions available
• Life Insurance (Voluntary Life & AD&D for the employee and dependents)
• Short and long-term disability
• Health Spending Account (HSA)
• Transportation benefits
• Employee Assistance Program
• Time Off/Leave (PTO, Vacation or Sick Leave)

Workplace Type

This is a fully onsite position in Fort Wayne,IN.

Application Deadline

This position is anticipated to close on Jun 26, 2026.

About TEKsystems

We're partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia. As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive change. That's the power of true partnership. TEKsystems is an Allegis Group company.

The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.

About TEKsystems and TEKsystems Global Services

We’re a leading provider of business and technology services. We accelerate business transformation for our customers. Our expertise in strategy, design, execution and operations unlocks business value through a range of solutions. We’re a team of 80,000 strong, working with over 6,000 customers, including 80% of the Fortune 500 across North America, Europe and Asia, who partner with us for our scale, full-stack capabilities and speed. We’re strategic thinkers, hands-on collaborators, helping customers capitalize on change and master the momentum of technology. We’re building tomorrow by delivering business outcomes and making positive impacts in our global communities. TEKsystems and TEKsystems Global Services are Allegis Group companies. Learn more at TEKsystems.com.

The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.

San Francisco Fair Chance Ordinance: Pursuant to the San Francisco Fair Chance Ordinance, for all positions located in the city and county of San Francisco, we will consider for employment qualified applicants with arrest and conviction records.

Massachusetts Lie Detector: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Use of Artificial Intelligence (AI): We may use Artificial Intelligence (AI) to support parts of our hiring process, including sourcing, screening, and evaluating candidates. AI helps assess applications and qualifications, but final decisions are made by our hiring team. By applying, you acknowledge and agree that your application may be reviewed using AI tools.