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Temporary Ai Language Trainer Jobs in Indiana (NOW HIRING)

Your work will directly improve how these systems identify risk and interpret contract language to ... Prior exposure to AI, legal tech, or training initiatives. * Experience working with private equity ...

Your work will directly improve how these systems identify risk and interpret contract language to ... Prior exposure to AI, legal tech, or training initiatives. * Experience working with private equity ...

Your work will directly improve how these systems identify risk and interpret contract language to ... Prior exposure to AI, legal tech, or training initiatives. * Experience working with private equity ...

Your work will directly improve how these systems identify risk and interpret contract language to ... Prior exposure to AI, legal tech, or training initiatives. * Experience working with private equity ...

Your work will directly improve how these systems identify risk and interpret contract language to ... Prior exposure to AI, legal tech, or training initiatives. * Experience working with private equity ...

AI Engineer

Indianapolis, IN · On-site

$50K - $112K/yr

... natural language processing tools like NLTK for text analytics and sentiment analysis ... training and/or progressively responsible work experience in Engineering with AI and Machine ...

$139K - $168K/yr

... AI language models (bots), including o3, o4-mini, Claude 3.7 Sonnet, GPT Image 1 and more. As AI ... training, to realtime LLM application at scale Minimum Requirements: * Ability to be available for ...

... deliver training sessions, workshops, and hands‑on learning opportunities to increase AI ... language models through coursework, internships, projects, or self‑directed learning. • ...

$139K - $168K/yr

... AI language models (bots), including o3, o4-mini, Claude 3.7 Sonnet, GPT Image 1 and more. As AI ... training, to realtime LLM application at scale Minimum Requirements: * Ability to be available for ...

$139K - $168K/yr

... AI language models (bots), including o3, o4-mini, Claude 3.7 Sonnet, GPT Image 1 and more. As AI ... training, to realtime LLM application at scale Minimum Requirements: * Ability to be available for ...

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Temporary Ai Language Trainer information

How does a Temporary AI Language Trainer typically collaborate with engineering and data science teams during a project?

As a Temporary AI Language Trainer, you will frequently work closely with engineering and data science teams to provide linguistic expertise and insights. This often involves reviewing datasets, annotating language data, and offering feedback on model outputs to help improve AI performance. Effective communication and a collaborative mindset are key, as you'll be expected to clarify language nuances, participate in regular project meetings, and align your work with overall project goals. This cross-functional teamwork ensures that the AI models are both technically robust and linguistically accurate.

What are Temporary AI Language Trainers?

Temporary AI Language Trainers are professionals hired on a short-term basis to help develop, train, and improve artificial intelligence language models. Their responsibilities typically include reviewing, annotating, and generating text data, assessing AI outputs for quality and accuracy, and providing feedback to enhance the model's performance. These roles are crucial for refining AI systems to better understand and generate human language, often requiring strong language skills and attention to detail. Temporary positions may be project-based or seasonal, offering flexibility for both employers and workers.

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

To thrive as a Temporary AI Language Trainer, you need strong linguistic abilities, attention to detail, and often a background in linguistics, language studies, or a related field. Familiarity with annotation tools, content management systems, and sometimes experience with machine learning platforms or data labeling software is typically required. Excellent communication, critical thinking, and time management are standout soft skills for this role. These skills ensure high-quality training data, accurate language processing, and effective collaboration with technical teams to improve AI language models.
What are the most commonly searched types of Ai Language Trainer jobs in Indiana? The most popular types of Ai Language Trainer jobs in Indiana are:
What are popular job titles related to Temporary Ai Language Trainer jobs in Indiana? For Temporary Ai Language Trainer jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Temporary Ai Language Trainer jobs in Indiana look for? The top searched job categories for Temporary Ai Language Trainer jobs in Indiana are:
What cities in Indiana are hiring for Temporary Ai Language Trainer jobs? Cities in Indiana with the most Temporary Ai Language Trainer job openings:

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