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Freelance Data Labeling Analyst Jobs in Indiana (NOW HIRING)

OPENLANE

BI Engineer

Carmel, IN · On-site

$51 - $66.25/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Improve OEM Private Label performance by identifying levers to increase conversion rates and buyer ... You maintain a steady, analytical focus even when navigating deeply complex data landscapes or ...

INCOG

QC Sample Management Technician, 2nd Shift

Fishers, IN · On-site

$17.50 - $22.50/hr

... labels, inventory records). * Adhere to Good Manufacturing Practices (GMP), data integrity ... Communicates clearly and professionally with QC analysts, QC leadership, manufacturing, and support ...

United States Steel Corporation

Accounting Analyst II

Gary, IN · Hybrid

$59K - $78K/yr

Provide data as needed for special investigations or projects. * Facilitate any special rush items ... Oversee timely shipping label creation for local plants. * Ensure timely payment of utilities to ...

MORGAN FOODS INC

Product Manager

Austin, IN · On-site

  • Life

  • Retirement

... label food product categories. Serving as the business owner for the portfolio, this role will lead ... Analytical curiosity and confidence working with complex financial, customer, and market data

MORGAN FOODS INC

Product Manager

Austin, IN · On-site

  • Life

  • Retirement

... label food product categories. Serving as the business owner for the portfolio, this role will lead ... Analytical curiosity and confidence working with complex financial, customer, and market data

Saturn Petcare Inc

R & D Scientist

Terre Haute, IN · On-site

Additionally, the R&D scientist will be involved in projects for qualification of raw materials, label compliance, product and ingredient testing, databases, analytical data, among others. The right ...

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Freelance Data Labeling Analyst information

What is a freelance data labeling analyst?

A Freelance Data Labeling Analyst is a professional who works independently to tag, categorize, or annotate data—such as images, texts, or audio—to help train machine learning models. These analysts play a crucial role in ensuring that artificial intelligence systems receive accurate and high-quality training data. Their work typically involves reviewing raw data and applying specific labels according to established guidelines. Freelance analysts can work remotely for various clients, often via online platforms or data annotation companies. This job requires attention to detail, consistency, and sometimes domain-specific knowledge.

What are the key skills and qualifications needed to thrive as a freelance data labeling analyst?

To thrive as a Freelance Data Labeling Analyst, you need strong attention to detail, data literacy, and a solid understanding of data annotation standards, often supported by a background in computer science or related fields. Familiarity with data labeling platforms, annotation tools like Labelbox or Supervisely, and sometimes knowledge of Python or SQL is valuable. Diligence, self-motivation, and the ability to follow complex guidelines set apart top analysts in this role. These skills ensure accurate, high-quality labeled datasets that are crucial for effective machine learning model training.

What are some common challenges freelance data labeling analysts face when working with multiple clients?

Freelance Data Labeling Analysts often juggle varied guidelines, annotation tools, and project requirements from different clients. Adapting quickly to new labeling standards and software platforms is essential, as each client may have their own specifications for data quality and turnaround times. Additionally, managing communication across multiple teams and ensuring consistent delivery can require strong organizational skills and proactive time management. Building a transparent workflow and clarifying expectations with each client helps mitigate these challenges.

What is the difference between Freelance Data Labeling Analyst vs Data Annotator?

AspectFreelance Data Labeling AnalystData Annotator
CredentialsBasic data labeling skills, sometimes certifications in data annotation toolsSimilar; often no formal certifications required
Work EnvironmentRemote, freelance projects for various clientsRemote or in-house, depending on employer
Industry UsageUsed across AI, machine learning, and data science projectsPrimarily in AI training datasets and machine learning
Search & Comparison IntentHigh overlap; both involve labeling data for AI models

Both Freelance Data Labeling Analysts and Data Annotators perform data labeling tasks essential for training AI models. The main difference lies in the freelance nature and potential project variety for Analysts, while Annotators may work more consistently within specific companies or platforms. Both roles require similar skills and are used widely in AI and machine learning industries.

What are the most commonly searched types of Data Labeling Analyst jobs in Indiana?

The most popular types of Data Labeling Analyst jobs in Indiana are:

What are popular job titles related to Freelance Data Labeling Analyst jobs in Indiana?

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

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

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

What cities in Indiana are hiring for Freelance Data Labeling Analyst jobs?

Cities in Indiana with the most Freelance Data Labeling Analyst job openings:

Freelance Data Labeling Analyst jobs near you
Infographic showing various Freelance Data Labeling Analyst job openings in Indiana as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Materials Process Engineer

Subaru of Indiana Automotive, Inc.

Lafayette, IN • On-site

Full-time

Posted 8 days ago

Subaru of Indiana Automotive rating

6.6

Company rating: 6.6 out of 10

Based on 75 frontline employees who took The Breakroom Quiz

37th of 44 rated automakers

Job description

Process Engineer
Materials Management Department
Position Summary:
The Materials & Logistics Process Engineer drives accuracy, flow, and stability across materials planning, warehouse operations, lineside delivery, and scanning systems. This role owns master data and routing within materials systems, leads model-change readiness, integrates scanning and digital tools, and partners with production to implement safe, efficient processes that support safety, quality, cost, and delivery targets.
Outline of Duties:
  • Maintain and update materials master data, including routes, triggers, SNPs, user roles, and system configurations within core logistics systems.
  • Set up, adjust, and sustain delivery routes based on consumption, takt-time, rebalances, and model changes; maintain accurate route maps.
  • Verify engineering change data and manage buildout and multi-use parts to ensure system and shop-floor accuracy at SOP.
  • Create and maintain model-change datasets and confirm system readiness, coordinating with production control and affected shops.
  • Determine startup logistics parameters (routes, box sizes, SNPs, swap lists) and support change communication through labels, signage, and training aids.
  • Design, improve, and sustain warehouse layouts and lineside material presentation while enforcing labeling and signage standards.
  • Conduct regular lineside audits to validate scanning, data accuracy, and system alignment, driving timely issue resolution.
  • Implement, maintain, and troubleshoot scanning processes, barcode/QR labels, and delivery system automation across all material flows.
  • Develop training materials and one-point lessons; train associates and end users on delivery, scanning, and system processes.
  • Lead and support process improvement activities, line balance efforts, time study analysis, and process trials to improve safety, quality, delivery, and cost.
  • Create performance reports, dashboards, and databases to communicate materials and logistics KPIs to leadership.
  • Track and document issues, accidents, moves, and system changes, ensuring proper logging and follow-up preventive actions.
  • Performs other related duties as assigned.

Minimum Qualifications:
  • Associate's degree and 1-3 years of relevant experience or equivalent
    • Engineering Technology or Industrial Engineering, Manufacturing Engineering, or related field

Desired Qualifications:
  • Bachelor's degree plus 10+ years relevant experience
    • Engineering Technology or Industrial Engineering, Manufacturing Engineering, or related field

Subaru of Indiana Automotive, Inc. is an equal opportunity employer committed to employing a diverse workforce.

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