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Flexible Data Labeling Analyst Jobs in Indiana (NOW HIRING)

TSMG

AI/ML Data Contributor

Indianapolis, IN

... labeling, content evaluation, and user-based testing. Projects may vary in scope and format ... This is a flexible, task-based role with the opportunity to participate in multiple projects ...

TSMG

AI/ML Data Contributor

Indianapolis, IN

... labeling, content evaluation, and user-based testing. Projects may vary in scope and format ... This is a flexible, task-based role with the opportunity to participate in multiple projects ...

TSMG

AI/ML Data Contributor

Indianapolis, IN

... labeling, content evaluation, and user-based testing. Projects may vary in scope and format ... This is a flexible, task-based role with the opportunity to participate in multiple projects ...

TSMG

AI/ML Data Contributor

Indianapolis, IN

... labeling, content evaluation, and user-based testing. Projects may vary in scope and format ... This is a flexible, task-based role with the opportunity to participate in multiple projects ...

TSMG

AI/ML Data Contributor

Indianapolis, IN

... labeling, content evaluation, and user-based testing. Projects may vary in scope and format ... This is a flexible, task-based role with the opportunity to participate in multiple projects ...

TSMG

AI/ML Data Contributor

Indianapolis, IN · On-site

... labeling, content evaluation, and user-based testing. Projects may vary in scope and format ... This is a flexible, task-based role with the opportunity to participate in multiple projects ...

St. Joseph County, IN

Data Analyst

South Bend, IN

Data Analyst DEPARTMENT: St. Joseph County Department of Health WORK SCHEDULE: 8:00 a.m. - 4:30 p.m ... STD/LTD) Flexible Spending Accounts (FSA) for healthcare and dependent care Gym Membership ...

Onebridge

Full Stack Engineer

Indianapolis, IN · On-site

Onebridge, a Marlabs Company, is a global AI and Data Analytics Consulting Firm that empowers ... flexible data modeling. • Experience with CI/CD workflows, automated testing, and deploying ...

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 ...

SG Services, Inc.

Data Insights Manager

Bloomington, IN · On-site

$50K/yr

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 ...

SG Services, Inc.

Data Insights Manager

Bloomington, IN · On-site

$50K/yr

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 ...

SG Services, Inc.

Data Insights Manager

Bloomington, IN · On-site

$50K/yr

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 ...

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Flexible Data Labeling Analyst information

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

AspectFlexible Data Labeling AnalystData Annotator
CredentialsHigh school diploma or equivalent; some roles prefer certifications in data labeling or related fieldsHigh school diploma or equivalent; minimal certifications typically required
Work EnvironmentOffice or remote; collaborative with data science teamsPrimarily remote or on-site; focused on labeling tasks
Industry UsageUsed across AI, machine learning, and data science projectsCommonly used in AI training data preparation

The Flexible Data Labeling Analyst and Data Annotator roles both involve data labeling tasks, but the analyst often has broader responsibilities, including quality control and process improvement, while the annotator focuses mainly on labeling data. The analyst may require additional skills in data management and communication, making their role more strategic within data projects.

What is a flexible data labeling analyst?

Flexible Data Labeling Analysts are professionals who annotate, categorize, and tag data—such as images, audio, or text—according to specific guidelines, often as part of training data for machine learning models. The 'flexible' aspect usually refers to the ability to work remotely, set variable hours, or handle diverse types of data projects. Their work is crucial for ensuring that artificial intelligence systems can learn from accurately labeled datasets. This role requires attention to detail, basic technical skills, and sometimes familiarity with the subject matter being labeled. Flexible Data Labeling Analysts may work on a freelance, contract, or part-time basis.

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

To thrive as a Flexible Data Labeling Analyst, you need strong attention to detail, analytical skills, and a solid understanding of data labeling concepts, typically supported by a high school diploma or equivalent. Familiarity with data annotation tools, spreadsheets, and sometimes basic programming or scripting languages is often required. Excellent communication, adaptability, and time management are crucial soft skills for handling varied projects and meeting quality standards. These skills ensure accurate data labeling, which is vital for training reliable AI and machine learning models.

What are some common challenges faced by flexible data labeling analysts, and how can they be managed effectively?

Flexible Data Labeling Analysts often encounter challenges such as maintaining high accuracy while working with large volumes of data, adapting to different labeling guidelines across projects, and managing time effectively when working remotely or on a flexible schedule. To succeed, it's important to develop strong attention to detail, regularly review project instructions, and communicate proactively with team leads or project managers. Utilizing collaboration tools and participating in team check-ins can also help ensure that questions are addressed quickly and consistent standards are maintained across the team.
Flexible Data Labeling Analyst jobs near you

AI/ML Data Contributor

TSMG

Indianapolis, IN

Full-time

Re-posted 14 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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