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Seasonal Ai Language Training Jobs (NOW HIRING)

Oxy

Senior AI Language Model Engineer

Houston, TX · On-site

$99K - $137K/yr

... of AI Language Model Engineer within our AI Center of Excellence group based in Houston, TX. ... We will never: • Ask you to pay for applications, interviews, meetings, processing, training or ...

Oxy

Senior AI Language Model Engineer

Houston, TX · On-site

$99K - $137K/yr

... of AI Language Model Engineer within our AI Center of Excellence group based in Houston, TX. ... Ask you to pay for applications, interviews, meetings, processing, training or for any other fees ...

VIVA USA INC

AI Engineer Lead

Columbus, OH · On-site +1

$99K - $130K/yr

Implementing and tuning Natural Language Processing techniques to improve AI assistants' understanding and response accuracy. Training and deploying AI models, and monitoring solution performance by ...

Assured Consulting Solutions

AI/ML Engineer

Reston, VA · On-site

$175K - $220K/yr

We are looking for an experienced and highly motivated AI/ML Engineer to join our team to continue the development and training of our in-house custom AI language model. Our model enables our ...

SmartIPlace

AI Engineer Lead[100%REMOTE]

Columbus, OH · On-site

$99K - $130K/yr

... Language Processing techniques to improve AI assistants' understanding and response accuracy. · Training and deploying AI models, and monitoring solution performance by creating and utilizing ...

RICEFW Technologies, Inc.

Lead AI Engineer - Fully REMOTE

$104K - $138K/yr

... Language Processing techniques to improve AI assistants' understanding and response accuracy. • Training and deploying AI models, and monitoring solution performance by creating and utilizing ...

SmartIPlace

Lead AI Engineer [Local to Ohio]

Columbus, OH · On-site

$99K - $130K/yr

... Language Processing techniques to improve AI assistants' understanding and response accuracy. · Training and deploying AI models, and monitoring solution performance by creating and utilizing ...

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All Jobstmp JobsSeasonal Ai Language Training Jobs

Seasonal Ai Language Training information

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$32K

$68.7K

$112K

How much do seasonal ai language training jobs pay per year?

As of Aug 24, 2026, the average yearly pay for seasonal ai language training in the United States is $68,682.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,000.00 and $84,500.00 per year, depending on experience, location, and employer.

What is a seasonal AI language training job?

Seasonal AI Language Training jobs involve temporarily assisting in the development and improvement of artificial intelligence language models. Workers in these roles typically review, label, and provide feedback on text, audio, or other data to help train AI systems to understand and generate human language more accurately. These positions are often project-based and may last for a few months, depending on the specific needs of the company. The work can usually be done remotely and is suitable for individuals with strong language skills and attention to detail.

What skills and qualifications are needed to thrive as a seasonal AI language trainer?

To thrive as a Seasonal AI Language Trainer, you generally need strong language proficiency, analytical thinking, and familiarity with linguistic concepts, often supported by a relevant degree or language certification. Experience with annotation tools, data labeling platforms, and basic understanding of AI or NLP systems is typically required. Attention to detail, time management, and effective communication are crucial soft skills in this role. These skills ensure accurate data preparation and feedback, which are vital for improving AI language models and meeting project goals.

What are the main challenges faced in a seasonal AI language training role, and how can I prepare for them?

One of the primary challenges in a Seasonal AI Language Training role is managing high-volume, repetitive tasks while maintaining attention to detail and linguistic accuracy. You may need to quickly familiarize yourself with new guidelines for annotating or evaluating language data, which can change between projects. Additionally, tight project deadlines and collaboration with remote teams are common, so strong communication skills and adaptability are key. Preparing by brushing up on language proficiency, learning annotation tools, and practicing clear remote communication will help you succeed.

What is the difference between Seasonal Ai Language Training vs Data Annotator?

AspectSeasonal Ai Language TrainingData Annotator
Required CredentialsBasic language skills, training certificationsNone or minimal; often on-the-job training
Work EnvironmentRemote or office-based, project-specificRemote or on-site, data labeling tasks
Employer & Industry UsageAI companies, tech firms, language service providersAI, machine learning, data companies

Seasonal Ai Language Training involves preparing language models through specialized training sessions, often focusing on language nuances and model accuracy. Data Annotators label and categorize data to improve AI performance. While both roles support AI development, Seasonal Ai Language Training emphasizes model training, whereas Data Annotators focus on data labeling tasks.

What cities are hiring for Seasonal Ai Language Training jobs?

Cities with the most Seasonal Ai Language Training job openings:

What are the most commonly searched types of Ai Language Training jobs?

The most popular types of Ai Language Training jobs are:

What states have the most Seasonal Ai Language Training jobs?

States with the most job openings for Seasonal Ai Language Training jobs include:

Seasonal Ai Language Training jobs near you

Quality control specialist for AI/ ML with Polish language

TSMG

Remote

Full-time

Posted 4 days ago

Job description

About the Project

TSMG is looking for Quality control specialists to support an AI language project focused on improving speech recognition systems.

As a QC contributor, you will review completed language annotation tasks and ensure that AI-generated transcripts have been accurately converted into natural, readable display text according to the project guidelines. You will focus on identifying and correcting formatting, punctuation, capitalization, and text normalization issues.

What You Will Do
  • Review completed Display Transcription tasks for accuracy and consistency.
  • Compare the Display Transcription against the original lexical transcript and project guidelines.
  • Verify the correct use of:
    • punctuation;
    • capitalization;
    • numbers, dates, times, and currencies;
    • abbreviations and other text normalization rules.
  • Ensure that the original words and meaning have been preserved.
  • Identify and correct formatting or guideline-related errors.
  • Use the reference audio when necessary to verify ambiguous cases.
  • Apply project-specific quality standards consistently.
  • Provide accurate feedback and flag recurring issues when required.
  • Complete assigned QC tasks within project deadlines and productivity targets.
Requirements
  • Excellent written skills in the target language.
  • Strong attention to detail and accuracy.
  • Good understanding of punctuation, capitalization, and written language conventions.
  • Ability to identify inconsistencies and errors in formatted text.
  • Ability to follow detailed guidelines and apply them consistently.
  • Basic computer skills and a reliable internet connection.
  • Ability to work independently and meet quality and productivity targets.
  • Previous experience in transcription, proofreading, quality control, annotation, or linguistic projects is a plus.
  • Training and project guidelines will be provided before the project starts.
What We Offer
  • Opportunity to contribute to the development of AI and speech recognition technologies.
  • Flexible project-based work.
  • Clear guidelines and training before starting.
  • The opportunity to gain experience in AI language data and quality control projects.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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