2

Remote Train Ai Jobs in Indiana (NOW HIRING)

Remote We are seeking seasoned M&A attorneys for a part-time role at the forefront of legal AI ... In this role, you will review, assess, and contribute to contract redlining workflows used to train ...

Remote We are seeking seasoned M&A attorneys for a part-time role at the forefront of legal AI ... In this role, you will review, assess, and contribute to contract redlining workflows used to train ...

Remote We are seeking seasoned M&A attorneys for a part-time role at the forefront of legal AI ... In this role, you will review, assess, and contribute to contract redlining workflows used to train ...

Remote We are seeking seasoned M&A attorneys for a part-time role at the forefront of legal AI ... In this role, you will review, assess, and contribute to contract redlining workflows used to train ...

Remote We are seeking seasoned M&A attorneys for a part-time role at the forefront of legal AI ... In this role, you will review, assess, and contribute to contract redlining workflows used to train ...

Remote We are seeking seasoned Funds Attorneys for a part-time role at the forefront of legal AI ... train and evaluate state-of-the-art AI models. Your work will directly improve how these systems ...

next page

Showing results 1-20

Remote Train Ai information

What are the key skills and qualifications needed to thrive as a Remote AI Trainer, and why are they important?

To thrive as a Remote AI Trainer, you need a strong understanding of machine learning concepts, data annotation processes, and subject-matter expertise relevant to the AI system being trained, often supported by a degree in computer science or a related field. Familiarity with data labeling tools, annotation platforms, and collaboration software is typically required. Attention to detail, critical thinking, and effective communication are essential soft skills for ensuring high-quality data and clear feedback loops. These skills are vital to produce reliable, unbiased training data and facilitate the development of accurate AI models.

What is the difference between Remote Train Ai vs Data Annotator?

AspectRemote Train AiData Annotator
Required CredentialsBasic technical skills, training in AI data labelingNone or minimal; often on-the-job training
Work EnvironmentRemote, flexible hours, often part-time or freelancePrimarily remote, may vary by employer
Industry UsageAI development, machine learning projectsAI, computer vision, NLP projects
Common Search/ComparisonRemote Train AiData Annotator

Remote Train Ai and Data Annotator roles both involve labeling data for AI training, often remotely. Remote Train Ai may require some technical understanding and training, while Data Annotators typically need minimal credentials. Both roles are essential in AI development and are commonly found in similar work environments, making them frequently compared by job seekers.

What is a Remote Train AI job?

A Remote Train AI job typically involves working from home or another remote location to help develop and improve artificial intelligence systems. This can include tasks such as labeling data, providing feedback on AI-generated outputs, or training machine learning models by reviewing and correcting the AI's responses. People in these roles play a crucial part in making AI models more accurate, reliable, and useful for various applications. The job may not require advanced technical skills, making it accessible to a wide range of candidates. Remote Train AI roles are often offered by tech companies or AI research organizations.

What are some common challenges faced when working remotely as an AI Trainer, and how can they be addressed?

Working remotely as an AI Trainer often involves managing communication across different time zones and collaborating with team members from diverse backgrounds. Staying aligned on annotation guidelines and project objectives can be challenging without face-to-face interactions. To address these, it's important to leverage collaboration tools, participate in regular team meetings, and proactively seek clarification when needed. Maintaining organized documentation and establishing clear communication channels can also help ensure consistency and high-quality training data.
What cities in Indiana are hiring for Remote Train Ai jobs? Cities in Indiana with the most Remote Train Ai job openings:
Infographic showing various Remote Train 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.

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

Chemin

Brazil, IN โ€ข Remote

Other

Posted 12 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