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Remote Data Labelling Jobs in Indiana (NOW HIRING)

micro1 AI

AI Sensor Data Specialist - Remote

Fishers, IN · Remote

$13 - $15/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

AI Sensor Data Specialist - Remote

Carmel, IN · Remote

$13 - $15/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

AI Data Collector (Motion & Video)

Fishers, IN · Remote

$13 - $15/hr

Remote - experts based in Alabama, Arkansas, Georgia, Idaho, Indiana, Iowa, Kansas, Kentucky ... Follow detailed technical protocols to ensure all submissions meet strict quality, labeling, and ...

micro1 AI

AI Data Collector (Motion & Video)

Carmel, IN · Remote

$13 - $15/hr

Remote - experts based in Alabama, Arkansas, Georgia, Idaho, Indiana, Iowa, Kansas, Kentucky ... Follow detailed technical protocols to ensure all submissions meet strict quality, labeling, and ...

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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 Aug 2, 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 59% Full Time, 27% Part Time, 6% Temporary, and 8% Contract. Highlights an 100% Remote job distribution, with an average salary of $157,025 per year, or $75.5 per hour.

Audio Collection & Transcription - Native U.S. English Speakers

Chemin

Brazil, IN • Remote

Other

Posted 18 days ago

Job description

About Kaya

Kaya by Chemin Sdn Bhd is a community for high-performing data annotators who play an integral role in shaping the future of machine learning and artificial intelligence.

Kaya offers a collaborative environment where ambitious annotators can thrive. It is a tight-knit community that supports members' professional growth and helps them build a long-term career in data labelling and AI.

Join Kaya and start contributing to impactful AI projects.

About the Role

We are looking for native U.S. English speakers to join a short-term remote project helping train AI language systems.

Your task in this project is to record natural customer service conversations based on client-provided scripts and accurately transcribe your own recordings. These conversations reflect how people naturally speak in real-life customer service interactions, helping AI better understand authentic U.S. English speech.

If you're comfortable working with audio, detail-oriented, and can commit a few hours a day, this project is for you.

Requirements

What You'll Be Doing
  • Record natural customer service conversations by following client-provided scripts
  • Transcribe your own recordings accurately
  • Segment audio into natural speech units
  • Identify and label speakers when multiple voices are present
  • Apply transcription guidelines, punctuation, and annotation tags correctly
  • Follow project guidelines to maintain high-quality outputs
  • Communicate actively with the Project Manager for clarifications
Project Details
  • Duration: Approximately 2 months
  • Time commitment: Around 4-6 hours per day
  • Onboarding Training: Mandatory (TBD, during office hours 9:00 AM-6:00 PM GMT-3)
  • Working hours: Flexible (tasks can be completed anytime before the assigned deadline)
Pay Rate
  • Audio Collection: USD 1 per accepted audio minute
  • Transcription: USD 2 per accepted task (AHT: ~30-60 minutes per task)
  • Project Period: July - August 2026
What Do I Need?
  • Native speaker of U.S. English
  • Strong listening, reading, and writing skills in English
  • Excellent attention to detail and ability to follow written guidelines
  • Detail-oriented and patient, able to maintain at least 95% accuracy
  • Willing to ask questions when unsure
  • Quiet environment suitable for recording audio
  • Laptop or desktop with a stable internet connection
  • Ability to manage your own time and meet deadlines
  • Willing to complete a mandatory pre-assessment as part of the screening process, assessment here: https://forms.gle/Vkhfz2fGVXiWvHMv6

A mandatory pre-assessment will be shared to evaluate whether your skill and language proficiency meets the project's quality standards.

Bonus point: Previous experience in transcription, audio annotation, data labelling, or AI-related projects.

Benefits

    • Work remotely from anywhere
    • Be part of an AI project representing authentic U.S. English conversations
    • Priority consideration for future opportunities
    • Gain hands-on experience in AI language data, transcription, and audio annotation
    • Contribute to building smarter and more inclusive AI language technologies

Apply