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Data Labeling Jobs in Indiana (NOW HIRING)

SG Services, Inc.

Data Insights Manager

Bloomington, IN · On-site

$50K/yr

Data Insights Manager Status: Full-time Hours: 40/week, Monday - Friday, 9 am-6 pm Location ... Create regular and ad-hoc reports to inform label partners, artists, and internal teams on key ...

Accenture

Data Protection, Manager

Indianapolis, IN · On-site

$150K - $178K/yr

Design and implement Microsoft Purview solutions (e.g., sensitivity labeling strategies, advanced DLP policies/integrations, Purview DSPM, data lifecycle/retention controls). * Perform threat mapping ...

Accenture

Data Protection Consultant

Indianapolis, IN · On-site

$112K - $133K/yr

Design and implement Microsoft Purview solutions (e.g., sensitivity labeling strategies, advanced DLP policies/integrations, Purview DSPM, data lifecycle/retention controls). Perform threat mapping ...

SOLID Personnel

Data Center Installer

Fort Wayne, IN · On-site

A Data Center Technician is responsible for supporting the installation, maintenance, and ... Perform cable management, dressing, and labeling according to project standards. * Read and ...

TEKsystems

Data Center Technician

Fort Wayne, IN

$20 - $21/hr

Labeling cables, ports, and equipment according to project standards * Assisting with hardware ... Data center work * Electrical wiring * Low-voltage systems * Hardware installation * Rack and stack ...

TEKsystems

Data Center Technician

Fort Wayne, IN

$20 - $21/hr

Labeling cables, ports, and equipment according to project standards * Assisting with hardware ... Data center work * Electrical wiring * Low-voltage systems * Hardware installation * Rack and stack ...

TEKsystems

Data Center Technician

Fort Wayne, IN

$20 - $21/hr

Data Center Technician Helper (Entry Level) Overview Seeking dependable, hard-working individuals ... Label cables and ports * Use hand and power tools safely * Support technicians with installation ...

TEKsystems

Data Center Technician

Fort Wayne, IN

$20 - $21/hr

Data Center Technician Helper (Entry Level) Overview Seeking dependable, hard-working individuals ... Label cables and ports * Use hand and power tools safely * Support technicians with installation ...

TEKsystems

Data Center Technician

Fort Wayne, IN

$20 - $21/hr

Entry-Level Data Center Technician Launch a New Career in Technology -- No Data Center Experience ... Labeling cables and equipment * Installing and connecting hardware * Assisting with low-voltage ...

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All JobsData Labeling JobsData Labeling Jobs in Indiana

Data Labeling information

See Indiana salary details

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How much do data labeling jobs pay per hour?

As of Aug 23, 2026, the average hourly pay for data labeling in Indiana is $22.98, according to ZipRecruiter salary data. Most workers in this role earn between $15.10 and $26.36 per hour, depending on experience, location, and employer.

What is data labeling?

A Data Labeling job involves annotating or tagging data, such as images, text, audio, or videos, to help train machine learning models. Labelers follow specific guidelines to classify data accurately so that AI systems can learn patterns and make predictions. This role is essential in fields like computer vision, natural language processing, and speech recognition. Strong attention to detail and consistency are crucial for ensuring high-quality training datasets.

What are the typical day-to-day responsibilities of a data labeling professional?

A Data Labeling professional is primarily responsible for reviewing and accurately tagging images, text, audio, or video data according to specified guidelines. Daily tasks often include managing large datasets, using annotation software to classify data, and verifying the quality and accuracy of the labels. Collaboration with data scientists, project managers, and other annotators is common, especially when clarifying labeling guidelines or resolving ambiguities. Attention to detail is crucial, as high-quality labeled data directly impacts the effectiveness of machine learning models and AI applications. Most positions are structured in team environments, where productivity and communication skills help ensure project deadlines are met.

What are the key skills and qualifications needed to thrive in data labeling, and why are they important?

To thrive in Data Labeling, you need meticulous attention to detail, strong analytical abilities, and basic computer literacy, often supported by a high school diploma or equivalent. Familiarity with data annotation tools, image or text editing software, and experience with platforms like Labelbox or Amazon SageMaker Ground Truth are commonly advantageous. Exceptional concentration, patience, and the ability to follow precise instructions are valuable soft skills in this position. These skills and qualities are essential for ensuring the accuracy and consistency of labeled datasets, which are critical for training reliable AI and machine learning models.

How can I get started in data labeling?

To get started in data labeling, you should develop basic skills in data annotation tools and understand labeling guidelines for different data types such as images, text, or audio. Many entry-level positions require attention to detail and sometimes a background in relevant fields like computer science or linguistics; online courses and practice datasets can help build your skills. Additionally, creating a strong profile on job platforms and applying to companies that offer remote or flexible data labeling roles can increase your chances of starting in this field.

How much do data labelers make?

Data labelers typically earn between $10 and $20 per hour, depending on experience, complexity of tasks, and the platform or employer. Some may work as freelancers or part-time, with pay rates varying accordingly.

Is data labeling a good career?

Data labeling is a growing field that involves annotating data for machine learning models, often requiring attention to detail and familiarity with tools like labeling platforms. It can offer flexible schedules and entry-level opportunities, but typically provides lower pay compared to other tech roles and may lack long-term career advancement without additional skills. Overall, it can be a suitable starting point for those interested in AI and data science, but may not be ideal as a long-term career without further development.

What are data labeling jobs?

Data labeling jobs involve annotating or tagging data such as images, text, or videos to help train machine learning models. These roles typically require attention to detail and familiarity with labeling tools or software, and may be performed remotely or in a team environment.

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 Data Labeling jobs in Indiana?

For Data Labeling jobs in Indiana, the most frequently searched job titles are:

What job categories do people searching Data Labeling jobs in Indiana look for?

The top searched job categories for Data Labeling jobs in Indiana are:

What cities in Indiana are hiring for Data Labeling jobs?

Cities in Indiana with the most Data Labeling job openings:

Data Labeling jobs near you
Infographic showing various Data Labeling job openings in Indiana as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $47,791 per year, or $23 per hour.

Data Insights Manager

SG Services, Inc.

Bloomington, IN

$50K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 12 hours ago

Job description

Title: Data Insights Manager

Status: Full-time

Hours: 40/week, Monday - Friday, 9 am-6 pm

Location: Bloomington, IN; Brooklyn, NY; Los Angeles, CA; London, UK

Reports to: VP, Global Digital Strategy

Company Summary: For more than 25 years, Secretly Distribution (SD) has been enabling independents to challenge the mainstream. SD is not only a full-service global physical and digital music distributor, but it also provides hands-on marketing, financial, and technological support to some of the most exciting record labels and artists across geographies and genres. By supporting businesses who are self-reliant by choice, not just necessity, SD champions the musicians and creative works that drive culture forward. We are headquartered in Bloomington, IN, with offices in Brooklyn, Chicago, London and Los Angeles and additional staff in Paris,Berlin, Amsterdam and beyond.


Position Summary:

The Data Insights Manager will play a key role in turning numbers into actionable narratives for our distributed partners and internal teams. Working closely with the wider SD Sales and Accounts Teams, this role will collect, interpret, and present data from a wide range of sources to guide release strategies, marketing campaigns, and long-term planning. The ideal candidate will combine technical data skills with an understanding of the broader music ecosystem, helping our partners make informed, impactful decisions, and serving as a public voice for SD's data expertise at industry events. This is a collaborative position that works across departments, providing the insights needed to grow audiences and revenues in a fast-moving, ever-changing marketplace


Responsibilities:

  • Collect, clean, and analyze streaming, sales, and marketing performance data across DSPs, physical retail, and additional channels.
  • Create regular and ad-hoc reports to inform label partners, artists, and internal teams on key performance trends.
  • Build and maintain dashboards that visualize catalog and campaign performance in a clear, actionable format.
  • Support the SD Sales and Accounts Teams in identifying growth opportunities and strategic recommendations.
  • Collaborate cross-departmentally to measure campaign effectiveness.
  • Assist in forecasting revenue, projecting campaign impact, and modeling potential outcomes for releases.
  • Monitor new release performance and flag anomalies, trends, or emerging opportunities.
  • Maintain data integrity by ensuring consistent naming conventions and accurate metadata in reporting systems.
  • Research and implement best practices for data analysis in the music and entertainment sectors.


The Ideal Candidate Demonstrates:

  • 3+ years of professional experience in data analysis within the music, entertainment, or related digital media industry.
  • Strong proficiency in Excel/Google Sheets; familiarity with SQL, Python, or BI tools (e.g., Tableau, Looker, Power BI) is a plus.
  • Experience working with industry data sources such as Spotify for Artists, Apple Music for Artists, YouTube Analytics, Luminate, Chartmetric, etc.
  • Ability to distill complex data into clear, actionable insights for both technical and non-technical audiences.
  • Excellent organizational skills and attention to detail, with the ability to manage multiple projects and deadlines.
  • Comfort in a fast-paced, evolving environment with shifting priorities.
  • Strong communication skills-able to present findings clearly and confidently.
  • Comfort with public speaking and openness to representing SD externally on panels, at conferences, and in other industry forums
  • A collaborative mindset and willingness to work closely across departments.
  • Passion for music and understanding of the independent music landscape.


SG Services, Inc. Benefits:

  • Paid holidays including end of the year closure
  • Paid Time Off policy, which includes a separate Sick Days bank
  • 401K with corporate matching
  • 12 weeks for parental leave after birth or adoption paid at 100% of salary
  • Commuter Benefit
  • Volunteer Hours Matching Policy
  • Employee Assistance Program
  • Medical Health insurance covered at 100% for employee-only medical premiums
  • Dental & Vision insurance

Salary $50,000


All qualified applicants will receive consideration for employment without regard to disability, protected veteran status, age, race, creed, color, religion, sex, marital status, affectional or sexual orientation, gender identity or expression, ancestry, nationality, or national origin.

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