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Remote Data Labelling Jobs in Indiana (NOW HIRING)

Recruitment Room

$20/hr

Remote Compensation: $20 per hour Openings: 600 Role Overview We are seeking detail-oriented Data ... Your work will involve labeling, categorizing, and annotating diverse datasets to ensure accuracy ...

micro1 AI

First-Person AI Video Trainer

Fort Wayne, IN · Remote

$13/hr

Data-Video Generalist Job Type: Contractor Location: Remote - experts based in Alabama, Arkansas ... Follow detailed technical protocols to ensure all submissions meet strict quality, labeling, and ...

micro1 AI

First-Person AI Video Trainer

Indianapolis, IN · Remote

$13/hr

Data-Video Generalist Job Type: Contractor Location: Remote - experts based in Alabama, Arkansas ... Follow detailed technical protocols to ensure all submissions meet strict quality, labeling, and ...

micro1 AI

First-Person AI Video Trainer

Evansville, IN · Remote

$13/hr

Data-Video Generalist Job Type: Contractor Location: Remote - experts based in Alabama, Arkansas ... Follow detailed technical protocols to ensure all submissions meet strict quality, labeling, and ...

Hitachi

Product Compliance Engineer

Michigan City, IN · On-site +1

Engineering & Science Job Schedule: Full time Remote: No The Company We build the machines that ... Provide technical writing and review of data or reports that will be incorporated into regulatory ...

All JobsData Labelling JobsRemote Data Labelling JobsRemote Data Labelling Jobs in Indiana

Remote Data Labelling information

See Indiana salary details

$43.8K

$157K

$231.7K

How much do remote data labelling jobs pay per year?

As of Jul 11, 2026, the average yearly pay for remote data labelling in Indiana is $157,025.00, according to ZipRecruiter salary data. Most workers in this role earn between $127,000.00 and $161,800.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Remote Data Labelling position, and why are they important?

To thrive as a Remote Data Labelling professional, strong attention to detail, accuracy, and basic computer literacy are essential, often requiring a high school diploma or equivalent. Familiarity with data annotation platforms, labeling tools, and sometimes experience with spreadsheet or project management software are common requirements. Excellent time management, self-motivation, and the ability to follow detailed instructions help individuals excel in this largely independent role. These qualifications are vital to ensure precise, high-quality data sets that drive effective machine learning and AI model development.

What are some common challenges faced by remote data labelling professionals, and how can they be managed?

Remote data labelling professionals often encounter challenges such as repetitive tasks, maintaining focus over extended periods, and interpreting ambiguous data accurately. To manage these challenges, it helps to take regular breaks, use productivity techniques, and seek clarification from supervisors or team leads when instructions are unclear. Many companies provide detailed guidelines and offer online support channels to help remote labelers stay engaged and ensure consistency. Being proactive in communication and attentive to updates in instructions will contribute to both job satisfaction and data quality.

What is a Remote Data Labelling job?

A Remote Data Labelling job involves annotating, categorizing, or tagging data (such as images, text, or audio) to help train machine learning models. Workers typically use specialized tools to label data based on specific guidelines provided by companies. This role is performed entirely online, making it flexible and accessible from anywhere. It is commonly used in AI development for industries like autonomous vehicles, healthcare, and e-commerce.

What are popular job titles related to Remote Data Labelling jobs in Indiana? For Remote Data Labelling jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Remote Data Labelling jobs in Indiana look for? The top searched job categories for Remote Data Labelling jobs in Indiana are:
What cities in Indiana are hiring for Remote Data Labelling jobs? Cities in Indiana with the most Remote Data Labelling job openings:
Remote Data Labelling jobs near you
Infographic showing various Remote Data Labelling job openings in Indiana as of July 2026, with employment types broken down into 55% Full Time, 25% Part Time, and 20% Contract. Highlights an 100% Remote job distribution, with an average salary of $157,025 per year, or $75.5 per hour.

Data Annotation Generalist

Recruitment Room

Remote

$20/hr

Contractor

Posted 10 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)