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Remote Data Scientist Risk Jobs in Indianapolis, IN

TSMG

AI/ML Data Contributor

Indianapolis, IN · Remote

Participate in remote assignments or attend on-site sessions when required * Follow project ... Previous experience in data annotation, QA, or testing * Interest in AI, machine learning, or ...

TSMG

AI/ML Data Contributor

Indianapolis, IN · Remote

Participate in remote assignments or attend on-site sessions when required * Follow project ... Previous experience in data annotation, QA, or testing * Interest in AI, machine learning, or ...

Marlabs

Data Practice Lead (Remote)

Indianapolis, IN · Remote

Since 2000, we have partnered with some of the largest healthcare, life sciences, financial ... Data Practice Lead | About You As a Data Practice Lead, you are a strategic and handson expert in ...

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Remote Data Scientist Risk information

See Indianapolis, IN salary details

$35.8K

$117.3K

$187.8K

How much do remote data scientist risk jobs pay per year?

As of Aug 22, 2026, the average yearly pay for remote data scientist risk in Indianapolis, IN is $117,322.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,200.00 and $130,000.00 per year, depending on experience, location, and employer.

What are the most commonly searched types of Data Scientist Risk jobs in Indianapolis, IN?

The most popular types of Data Scientist Risk jobs in Indianapolis, IN are:

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For Remote Data Scientist Risk jobs in Indianapolis, IN, the most frequently searched job titles are:

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The top searched job categories for Remote Data Scientist Risk jobs in Indianapolis, IN are:

What cities near Indianapolis, IN are hiring for Remote Data Scientist Risk jobs?

Cities near Indianapolis, IN with the most Remote Data Scientist Risk job openings:

Remote Data Scientist Risk jobs near you
Infographic showing various Remote Data Scientist Risk job openings in Indianapolis, IN as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $117,322 per year, or $56.4 per hour.

AI/ML Data Contributor

TSMG

Indianapolis, IN • Remote

Full-time

Re-posted 27 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.