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Prompt Data Annotation Ai Jobs in Indiana (NOW HIRING)

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 ...

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 · 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 · 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 ...

Cherry Bekaert

AI Prompt and Skills Engineer

Indianapolis, IN · On-site

$68K - $88K/yr

As AI Prompt and Skills Engineer, you will: * Writes, tests and refines prompts across Tax ... Bachelor's Degree inComputer Science, Data Science, Information Systems, Engineering or a related ...

inKind

Data Engineer (AI)

Austin, IN · On-site

$135K - $155K/yr

... prompt injection and data leakage to third-party AI services) Benefits & Perks at inKind At inKind, we believe supporting our employees goes beyond compensation. We're committed to creating an ...

Deloitte

AI Data Engineer - Senior Consultant

Indianapolis, IN · Hybrid

$99K - $137K/yr

Implement safety, privacy, and access controls (PII handling, prompt-injection defenses, content ... You will work with an AI Data Engineer (data ingestion, curation, governance, platform foundations ...

Cherry Bekaert

AI Architect

Indianapolis, IN · On-site

$60.25 - $79.25/hr

As AI Architect, you will: * Designs and maintains the Firm's prompt architecture, establishing ... and data infrastructure. * Creates and curates service-line-specific prompt libraries ...

Cherry Bekaert

AI Architect

Jeffersonville, IN · On-site

$60.50 - $79.50/hr

As AI Architect, you will: * Designs and maintains the Firm's prompt architecture, establishing ... and data infrastructure. * Creates and curates service-line-specific prompt libraries ...

Salesforce, Inc.

AI Solution Orchestrator

Indianapolis, IN · On-site

$52.75 - $68/hr

... grounded, actionable technical requirements and prompt specifications. * Data Model ... AI Tooling Proficiency: Proficiency in the latest AI Tooling and best practices * Excellent ...

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Prompt Data Annotation Ai information

What is the difference between Prompt Data Annotation Ai vs Data Labeler?

AspectPrompt Data Annotation AiData Labeler
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote or on-site, often with AI teamsRemote or on-site, often with data teams
Industry UsageAI development, machine learning projectsData management, machine learning datasets
Job FocusAnnotating data for AI prompts and modelsLabeling data for training AI algorithms

Prompt Data Annotation Ai specialists focus on creating high-quality annotations specifically for AI prompts, ensuring models understand context. Data Labelers perform similar tasks but may work on broader datasets. Both roles require attention to detail and are vital in AI development, often overlapping but with different emphasis on prompt-specific annotation versus general data labeling.

How to become an AI data annotation?

To become an AI data annotation specialist, you should develop strong attention to detail, basic computer skills, and familiarity with annotation tools such as Labelbox or CVAT. Many roles require no formal degree, but understanding of data labeling processes and the ability to follow guidelines are essential. Training is often provided by employers, and the job can involve flexible or part-time schedules.

Is data annotation real or fake?

Data annotation is a real and essential process in AI development where human annotators label data such as images, text, or audio to train machine learning models. It involves accurately tagging data to improve model performance and is performed using specialized tools and guidelines.

What do AI data annotators do?

AI data annotators label and categorize data such as images, videos, text, or audio to help train machine learning models. They use specialized tools to add tags, bounding boxes, or transcriptions, ensuring data quality and consistency for AI development.

How much does data annotation AI pay?

Data annotation AI jobs typically pay between $10 and $20 per hour, depending on experience, complexity of tasks, and the platform or company. Some roles may offer project-based pay or part-time schedules, with higher rates for specialized skills or advanced tools usage.
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Prompt Data Annotation Ai jobs near you

AI/ML Data Contributor

TSMG

Indianapolis, IN

Part-time

Posted yesterday

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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