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Flexible Data Annotation Analyst Jobs in Indiana

Recruitment Room

$20/hr

Data Annotation Generalist Contract Type: Hourly, Independent Contractor Location: Remote ... Analytical mindset and problem-solving skills * Ability to work independently in a remote ...

TSMG

AI/ML Data Contributor

Indianapolis, IN

This is a flexible, task-based role with the opportunity to participate in multiple projects ... Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate ...

TSMG

AI/ML Data Contributor

Indianapolis, IN · On-site

This is a flexible, task-based role with the opportunity to participate in multiple projects ... Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate ...

TSMG

AI/ML Data Contributor

Indianapolis, IN · On-site

This is a flexible, task-based role with the opportunity to participate in multiple projects ... Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate ...

TSMG

AI/ML Data Contributor

Indianapolis, IN

This is a flexible, task-based role with the opportunity to participate in multiple projects ... Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate ...

TSMG

AI/ML Data Contributor

Indianapolis, IN · On-site

This is a flexible, task-based role with the opportunity to participate in multiple projects ... Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate ...

TSMG

AI/ML Data Contributor

Indianapolis, IN

This is a flexible, task-based role with the opportunity to participate in multiple projects ... Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate ...

Recruitment Room

$60 - $90/hr

Data Analysis / Analytics Expert Hourly Contract Remote Compensation: $60$90 per hour Overview We ... Fully remote role, flexible schedule. * Weekly payments via Stripe or Wise based on services ...

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Flexible Data Annotation Analyst information

What are the key skills and qualifications needed to thrive as a Flexible Data Annotation Analyst, and why are they important?

To thrive as a Flexible Data Annotation Analyst, you need keen attention to detail, analytical thinking, and a basic understanding of data labeling processes, often supported by a high school diploma or relevant experience. Familiarity with annotation tools such as Labelbox, Prodigy, or similar platforms, as well as basic proficiency in spreadsheet software, is typically required. Strong time management, adaptability, and clear communication skills help you deliver accurate results and work effectively with remote teams. These abilities ensure high-quality, consistent data labeling that is critical for training reliable machine learning models.

How does a Flexible Data Annotation Analyst typically collaborate with other teams to ensure data quality?

As a Flexible Data Annotation Analyst, you will frequently interact with data scientists, machine learning engineers, and project managers to clarify annotation guidelines and resolve ambiguities in the data. Collaboration often involves participating in virtual meetings, providing feedback on annotation tools, and reporting inconsistencies or uncertainties encountered during the labeling process. This teamwork ensures that annotated datasets meet project standards and contribute to high-quality machine learning outcomes. Regular communication and openness to feedback are key to success in this collaborative environment.

What is a Flexible Data Annotation Analyst?

A Flexible Data Annotation Analyst is a professional responsible for labeling, categorizing, and tagging data—such as text, images, audio, or video—to prepare it for use in machine learning and artificial intelligence projects. The 'flexible' aspect typically means the role allows for remote work, adjustable hours, or project-based assignments. Analysts use specific tools and follow detailed guidelines to ensure data quality and consistency. This role is crucial for training accurate AI models, as well-annotated data helps improve the performance of automated systems.
What are the most commonly searched types of Data Annotation Analyst jobs in Indiana? The most popular types of Data Annotation Analyst jobs in Indiana are:
What are popular job titles related to Flexible Data Annotation Analyst jobs in Indiana? For Flexible Data Annotation Analyst jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Flexible Data Annotation Analyst jobs in Indiana look for? The top searched job categories for Flexible Data Annotation Analyst jobs in Indiana are:
What cities in Indiana are hiring for Flexible Data Annotation Analyst jobs? Cities in Indiana with the most Flexible Data Annotation Analyst job openings:
Flexible Data Annotation Analyst jobs near you
Infographic showing various Flexible Data Annotation Analyst job openings in Indiana as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 83% Full Time, 10% Part Time, 1% Temporary, and 4% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% 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)