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Prompt Data Annotation Ai Jobs in Indiana (NOW HIRING)

Recruitment Room

$20/hr

Remote Compensation: $20 per hour Openings: 600 Role Overview We are seeking detail-oriented Data Annotation Generalists to support the training of next-generation AI systems. Your work will involve ...

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 ...

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

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 ...

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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.

Is it hard to get hired for data annotation?

Getting hired for a data annotation role, such as Prompt Data Annotation AI, generally depends on the applicant's attention to detail, basic computer skills, and ability to follow instructions. Many positions are entry-level and may require minimal prior experience, with some companies providing training or onboarding. Competition can vary, but building a strong understanding of annotation tools and maintaining accuracy can improve chances of employment.

Is data annotation AI a legit company?

Data annotation AI roles are typically part of legitimate companies that provide data labeling services for machine learning. It is important to research the company's reputation, reviews, and employment practices before applying or accepting a position. Many companies in this field require attention to detail and familiarity with annotation tools or platforms.

Can you use AI to work for data annotation?

Prompt Data Annotation AI roles involve using artificial intelligence tools to label and categorize data for machine learning models. Workers typically follow guidelines, use annotation software, and may need basic understanding of AI concepts or specific tools. AI can assist in automating parts of the process, but human oversight remains essential for accuracy.

How much does an AI data annotator make?

AI data annotators typically earn between $12 and $20 per hour, depending on experience, location, and the complexity of the annotation tasks. Many roles are remote and may require familiarity with annotation tools and attention to detail.
What are popular job titles related to Prompt Data Annotation Ai jobs in Indiana? For Prompt Data Annotation Ai jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Prompt Data Annotation Ai jobs in Indiana look for? The top searched job categories for Prompt Data Annotation Ai jobs in Indiana are:
What cities in Indiana are hiring for Prompt Data Annotation Ai jobs? Cities in Indiana with the most Prompt Data Annotation Ai job openings:
Prompt Data Annotation Ai jobs near you
Infographic showing various Prompt Data Annotation Ai job openings in Indiana as of July 2026, with employment types broken down into 75% Full Time, 23% Part Time, and 2% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution.

Data Annotation Generalist

Recruitment Room

Remote

$20/hr

Contractor

Posted 15 days ago

Job description

Data Annotation Generalist

Contract Type: Hourly, Independent Contractor

Location: Remote

Compensation: $20 per hour

Openings: 600

Role Overview

We are seeking detail-oriented Data Annotation Generalists to support the training of next-generation AI systems. Your work will involve labeling, categorizing, and annotating diverse datasets to ensure accuracy, consistency, and high-quality input for machine learning models.

Key Responsibilities

  • Data Labeling: Annotate and categorize datasets with precision, following project guidelines.

  • Quality Assurance: Review and correct annotations to maintain data integrity.

  • Collaboration: Work with teams to clarify requirements and resolve ambiguities.

  • Documentation: Maintain clear records of annotation workflows.

  • Tool Feedback: Suggest improvements to annotation tools and processes.

  • Communication: Share insights and raise issues effectively through written and verbal channels.

  • Adaptability: Adjust to evolving instructions and new data types.

Required Skills Qualifications

  • Proficiency in data annotation, labeling, or preparation for machine learning

  • Exceptional attention to detail and accuracy

  • Strong written and verbal communication skills

  • Ability to interpret complex instructions consistently across large datasets

  • Experience with annotation tools or platforms used in AI development

  • Analytical mindset and problem-solving skills

  • Ability to work independently in a remote environment

Preferred Qualifications

  • Background in linguistics, computer science, or data science

  • Experience contributing to AI training or NLP projects

  • Familiarity with multiple data types (text, image, audio, video)