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Full Time Ai Data Annotation 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 in remote assignments or attend on-site sessions when required * Follow project guidelines and ...

TSMG

AI/ML Data Contributor

Indianapolis, IN · On-site

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 ...

TSMG

AI/ML Data Contributor

Indianapolis, IN

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 ...

Alignerr

Principal Clinical Scientist

Indianapolis, IN · Remote

No prior AI or tech experience required Nice to Have * Prior involvement in data annotation, data quality assurance, or evaluation systems * Experience reviewing or contributing to clinical evidence ...

Alignerr

Oncology Clinical Researcher

Indianapolis, IN · Remote

Prior experience with data annotation, data quality assessment, or AI evaluation workflows * Background in translational oncology, clinical pharmacology, or regulatory affairs * Experience authoring ...

Toptal

$99.80K - $136.70K/yr

Job Summary We are building a robust Data Annotation Platform designed to be the backbone of AI development. Instead of clients managing their own labeling infrastructure, they use our platform to ...

CAI

AI Enablement Manager

Indianapolis, IN · On-site +1

$150K - $160K/yr

This position will be full-time opportunity and remoteWhat You'll DoOwn and drive end-to-end ... data, cloud, and enterprise technology conceptsExperience working directly with non-technical ...

Matrix Design Group

Senior Computer Vision Engineer

Newburgh, IN · On-site

$99.10K - $136.10K/yr

Work with other engineers to develop a working understanding of how the AI is developing * Document ... Understand and apply source control best practices for machine learning, ETL, and data annotation ...

Lilly

Data Scientist

Indianapolis, IN · On-site

You will apply data science, machine learning, and AI techniques to solve real business problems ... Qualified applicants must be authorized to work in the United States on a full-time basis. Lilly ...

Maneva

Forward Deployed Engineer (FDE)

Delphi, IN · On-site +1

... data collection and annotation as needed. Requirements Required Qualifications: * 6+ years of experience combining production software engineering with industrial automation and/or applied AI

World Wide Technology

Client Manager, SLED

Zionsville, IN · On-site

$80K - $130K/yr

Ideal experience includes technology sales focused on Network, Collaboration, Security, Data and AI ... We offer the following benefits to all full-time employees: * Health and Wellbeing: Health, Dental ...

DEKKO INC

Data Scientist - Intern

Fort Wayne, IN · On-site

Identify manual or repetitive processes and evaluate where automation or AI could add value ... Networking opportunities and potential for future full-time roles Ready to build what's next? Apply ...

Onebridge

Snowflake Data Engineer

Indianapolis, IN

$109.40K - $131.40K/yr

Onebridge, a Marlabs Company, is a global AI and Data Analytics Consulting Firm that empowers ... A Best Place to Work in Indiana since 2015 Employment Type: FULL_TIME

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Full Time Ai Data Annotation information

What are the key skills and qualifications needed to thrive as a Full Time AI Data Annotation Specialist, and why are they important?

To thrive as a Full Time AI Data Annotation Specialist, you need strong attention to detail, basic data literacy, and often a high school diploma or equivalent. Familiarity with annotation platforms (like Labelbox or Supervisely) and understanding of data labeling guidelines are typically required. Patience, consistency, and effective communication are soft skills that help ensure accuracy and clarity in collaborative projects. These skills and qualities are crucial for producing high-quality labeled data, which directly impacts the performance of AI models.

What are some common challenges faced by AI Data Annotation professionals, and how can they be addressed?

AI Data Annotation professionals often encounter challenges such as maintaining high accuracy while working with large datasets, interpreting ambiguous data, and consistently following complex labeling guidelines. These challenges can be addressed through thorough training, frequent communication with project managers or data scientists, and utilizing annotation tools with built-in quality checks. Collaboration with team members and regular feedback sessions also help ensure consistency and improve overall data quality, making the annotation process smoother and more efficient.

What are Full Time AI Data Annotation jobs?

Full Time AI Data Annotation jobs involve labeling, tagging, or categorizing data such as images, text, audio, or video to help train machine learning models. Annotators play a crucial role in ensuring AI systems understand and process information accurately by providing high-quality, human-curated data. These positions usually require attention to detail, basic computer skills, and the ability to follow specific guidelines for different projects. Full-time roles typically offer stable hours and may be remote or on-site, depending on the employer.

What is the difference between Full Time Ai Data Annotation vs Data Labeler?

AspectFull Time Ai Data AnnotationData Labeler
CredentialsHigh school diploma or equivalent; some roles prefer basic technical skillsHigh school diploma or equivalent; minimal technical requirements
Work EnvironmentOffice or remote; part of AI development teamsOffice or remote; often task-based or freelance
Industry UsageUsed across AI, machine learning, and data science industriesPrimarily in AI and machine learning industries for data preparation
Job ScopeFull-time, with responsibilities including data annotation, quality control, and collaborationTask-specific, focusing on labeling data accurately for AI training

Full Time Ai Data Annotation roles typically require more consistent hours, team collaboration, and a broader scope of responsibilities compared to Data Labelers, who often work on individual tasks with minimal oversight. Both roles are essential in AI development, but Full Time Ai Data Annotation offers more stability and integration within AI projects.

What are the most commonly searched types of Ai Data Annotation jobs in Indiana? The most popular types of Ai Data Annotation jobs in Indiana are:
What are popular job titles related to Full Time Ai Data Annotation jobs in Indiana? For Full Time Ai Data Annotation jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Full Time Ai Data Annotation jobs in Indiana look for? The top searched job categories for Full Time Ai Data Annotation jobs in Indiana are:
What cities in Indiana are hiring for Full Time Ai Data Annotation jobs? Cities in Indiana with the most Full Time Ai Data Annotation job openings:
Full Time Ai Data Annotation jobs near you

AI/ML Data Contributor

TSMG

Indianapolis, IN • On-site

Full-time

Posted 3 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. 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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