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Full Time Ai Language Trainer Jobs (NOW HIRING)

Wing Assistant

AI Video Trainer - Hebrew

$10 - $22/hr

This is a flexible, project-based opportunity rather than a full-time or monthly position. Work is ... Language Required: * Hebrew What You'll Do * Record audio/video tasks that help train next ...

Assured Consulting Solutions

AI/ML Engineer

Reston, VA

$175K - $220K/yr

... training of our in-house custom AI language model. Our model enables our customers to perform ... Type: Full-Time Shift: Day Export Control: For all positions requiring access to technology ...

ProSidian Consulting

NC

ProSidian.com ProSidian Seeks a Language Training Support Administrator | Language and Cultural ... Our growing list of benefits currently includes the following for Full-Time Employees:

ProSidian Consulting

NC

Seeking Instructional Systems Designer (ISD) for Military Language Training candidates with ... Our growing list of benefits currently includes the following for Full-Time Employees:

ProSidian Consulting

NC

... a Full-Time ProSidian employed W-2 Position. JOB OVERVIEW Provide services and support as a ... Experience with military language training preferred. Education / Experience Requirements ...

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Full Time Ai Language Trainer information

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How much do full time ai language trainer jobs pay per hour?

As of Jun 10, 2026, the average hourly pay for full time ai language trainer in the United States is $31.24, according to ZipRecruiter salary data. Most workers in this role earn between $19.95 and $35.58 per hour, depending on experience, location, and employer.

What is the difference between Full Time Ai Language Trainer vs Part Time Ai Language Tutor?

AspectFull Time Ai Language TrainerPart Time Ai Language Tutor
CredentialsTypically requires a degree in linguistics, education, or related field; certifications in language teaching or AI toolsMay have similar credentials but often less formal or fewer certifications
Work EnvironmentFull-time employment, often in corporate training centers or online platformsPart-time, often freelance or on-demand online sessions
Employer & Industry UsageUsed by educational institutions, tech companies, and online training platformsCommonly used by individual tutors, online marketplaces, and freelance platforms

In summary, a Full Time Ai Language Trainer typically works full-time in structured environments with formal credentials, while a Part Time Ai Language Tutor operates on a flexible schedule, often independently, with similar but sometimes fewer qualifications.

What are some common challenges faced by Full Time AI Language Trainers, and how can they be addressed?

Full Time AI Language Trainers often encounter challenges such as maintaining data quality, staying updated with evolving language models, and managing large volumes of diverse training data. To address these, trainers typically collaborate closely with data scientists and engineers, utilize annotation tools to streamline workflows, and participate in regular team meetings to share best practices. Continuous learning and adapting to new technologies are also essential to ensure the AI models remain accurate and effective.

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

To thrive as a Full Time AI Language Trainer, you need strong linguistic expertise, analytical thinking, and a background in language or computational linguistics, often supported by a relevant degree. Familiarity with annotation tools, data labeling platforms, and machine learning systems is typically required, along with experience using productivity software. Excellent attention to detail, effective communication, and adaptability are valuable soft skills for collaborating with engineering teams and refining AI outputs. These skills and qualities ensure the creation of accurate, high-quality language data sets that directly impact the performance and reliability of AI language models.

What does a Full Time AI Language Trainer do?

A Full Time AI Language Trainer is responsible for teaching, training, and refining artificial intelligence language models. This involves curating and annotating data, evaluating model outputs, and providing feedback to improve the AI’s understanding of language. Language trainers collaborate with data scientists and engineers to develop algorithms and processes that enhance natural language processing capabilities. Their work helps ensure AI systems generate more accurate, contextually relevant, and ethical language responses.
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Full Time Ai Language Trainer jobs near you
Generative AI Analyst (Chinese zh-CN) - Onsite \u007C San Jose, CA

Generative AI Analyst (Chinese zh-CN) - Onsite \u007C San Jose, CA

Welo Data

Cupertino, CA

$143K/yr

Full-time

Posted 28 days ago

Job description

About the Role

We are looking for highly detail-oriented Generative AI Analysts to join our team onsite in San Jose, California. In this role, you will contribute to the development of cutting-edge AI technologies by supporting the annotation, evaluation, and quality review of multilingual and multimodal datasets used to train generative AI systems.

This position is ideal for candidates passionate about AI, language, data quality, and emerging technologies, with strong analytical skills and native-level Chinese proficiency.

What You’ll Do
  • Perform annotation and labeling tasks for Chinese generative AI datasets, including text, image, video, audio, and multimodal content
  • Review and evaluate AI-generated prompts and responses across a variety of topics and use cases
  • Conduct quality assurance checks to ensure accuracy, consistency, and compliance with annotation guidelines
  • Identify edge cases, inconsistencies, and quality issues in datasets and model outputs
  • Support data categorization, tagging, evaluation, and content review workflows for machine learning systems
  • Assist in the creation and refinement of annotation guidelines and evaluation frameworks
  • Collaborate with cross-functional teams to improve operational processes and annotation quality
  • Provide feedback on tools, workflows, and annotation methodologies
Requirements
  • Native-level proficiency in Chinese and strong English communication skills (written and verbal)
  • Excellent attention to detail and ability to follow complex guidelines and processes
  • Strong interest in generative AI, machine learning, and emerging technologies
  • Previous experience in data annotation, content review, quality assurance, or labeling operations is preferred
  • Bachelor’s degree or equivalent practical experience
  • Experience or academic background in Finance, STEM, Legal, Medical, Coding, or other specialized fields is highly valued.
  • Ability to work onsite full-time in San Jose, CA
Ways to Stand Out from the Crowd
  • Familiarity with generative AI systems, LLMs, RLHF, or multimodal AI workflows
  • Experience evaluating prompts, responses, images, videos, or AI training datasets
  • QA/testing experience within AI, data operations, or content moderation environments
  • Experience with taxonomy creation, evaluation rubrics, or dataset quality initiatives
  • Python or scripting knowledge
  • Additional language proficiency is a plus (Korean, Japanese, Mandarin, Spanish, German, French, etc.)
Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment.
 
To know more details (Click here)
 
In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.  In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program.
 
 
As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com
 
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. 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.

Working at Welo Data

What to expect from working at Welo Data

From Welo Data

About Welo Data, in their own words

From Welo Data

Welo Data is a global AI data services company powering the next generation of AI. We build, annotate, and validate the training datasets that make AI models accurate, safe, and ready for the real world — across languages, cultures, and domains.

Our team of experts spans the globe, combining deep technical knowledge with a human-centered approach. If you want your work to shape how AI understands the world, you'll find your place here.

Diversity and inclusion statement

From Welo Data

Our Strength is derived from Winning Together. Welo Data is unequivocally committed to developing and fostering a workplace and organizational culture that values the diversity of thought and perspective delivered by a diverse global workforce operating within an inclusive organization.