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Freelance Data Labeling Analyst Jobs in Indiana (NOW HIRING)

TSMG

AI/ML Data Contributor

Indianapolis, IN · On-site

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

TSMG

AI/ML Data Contributor

Indianapolis, IN · On-site

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

TSMG

AI/ML Data Contributor

Indianapolis, IN · On-site

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

TSMG

AI/ML Data Contributor

Indianapolis, IN · On-site

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

TSMG

AI/ML Data Contributor

Indianapolis, IN · On-site

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

TSMG

AI/ML Data Contributor

Indianapolis, IN · On-site

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

Purdue University

Student (2)

West Lafayette, IN · On-site

$15/hr

The role emphasizes support and coordination rather than independent data analysis or ... labeling • Support data preparation and file organization (e.g., NVivo project setup ...

Amatriot Group, LLC

Data Scientist

Crane, IN · On-site

$80K - $95K/yr

... a Data Scientist to provide engineering and technical support to assist our government customer ... and analysis. * Define metadata requirements and schemas to support the complex labeling of ...

Accenture

Data Protection, Manager

Indianapolis, IN

$150K - $178K/yr

... labeling strategies, advanced DLP policies/integrations, Purview DSPM, data lifecycle/retention controls). * Perform threat mapping and gap analysis across structured, unstructured, cloud, and on ...

Welo Data

English AI Maps Trainer

Marion, IN · Remote

$20.30/hr

... Labels too small"). YOU ARE A FIT IF YOU...   * Have an eye for artistic detail and intuitive ... Freelance · Hourly rate: US$20.30 · Language: English (US) · Location: Remote · Estimated ...

Accenture

Data Protection Consultant

Indianapolis, IN · On-site

$112K - $133K/yr

... labeling strategies, advanced DLP policies/integrations, Purview DSPM, data lifecycle/retention controls). Perform threat mapping and gap analysis across structured, unstructured, cloud, and on ...

CCI Systems, Inc.

Data Center Technicians

Gary, IN · On-site

Analyze test results to ensure compliance with loss of budgets and customer specifications ... labeling validation. * Maintain knowledge of all organizational policies and governmental ...

Ellison Bakery LLC

Financial Analyst

Fort Wayne, IN · On-site

$65K - $80K/yr

... private label space. Ellison Bakery credits ongoing growth to the commitment of its employees to ... Analyze historical sales data to identify trends, margin performance, and growth opportunities.

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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.

AI/ML Data Contributor

Indianapolis, IN • On-site

TSMG
See more jobs at TSMGexternal

Part-time

Re-posted 16 days ago

Job description

Project Overview
We are currently hiring AI/ML Data Contributors to support a range of active and upcoming projects across the United States. In this role, you will participate in tasks that help improve machine learning models, including data labeling, content evaluation, and user-based testing.

Projects may vary in scope and format, offering both remote and in-person opportunities (such as device or VR testing). This is a flexible, task-based role with the opportunity to participate in multiple projects over time.

Responsibilities
  • Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation
  • Participate in remote assignments or attend on-site sessions when required
  • Follow project guidelines and ensure high-quality task completion
  • Provide feedback and input during testing activities
  • Complete tasks within given timelines
Requirements
  • Must be based in the United States
  • Strong attention to detail and ability to follow instructions
  • Basic computer skills and familiarity with digital tools
  • Reliable internet connection and access to a computer or smartphone
  • Availability to participate in task-based work (schedule may vary)
Nice to Have
  • Previous experience in data annotation, QA, or testing
  • Interest in AI, machine learning, or emerging technologies
What We Offer
  • Paid, flexible task-based work
  • Opportunity to work on innovative AI/ML projects
  • Exposure to cutting-edge technologies (including device and VR testing)
  • Potential for ongoing project participation
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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