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Ai Language Training Jobs (NOW HIRING)

Oxy

Senior AI Language Model Engineer

Houston, TX · On-site

$99.80K - $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

$99.80K - $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 ...

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How much do ai language training jobs pay per year?

As of May 31, 2026, the average yearly pay for 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 an AI Language Training job?

An AI Language Training job involves training, evaluating, and improving AI language models to enhance their accuracy and effectiveness. Professionals in this role work on providing high-quality linguistic data, refining model responses, and ensuring AI-generated content aligns with human expectations. Tasks may include annotating text, reviewing AI outputs, and implementing feedback to optimize language models. This job often requires strong language skills, attention to detail, and familiarity with AI-driven communication tools.

What are the key skills and qualifications needed to thrive in the Ai Language Training position, and why are they important?

To excel in AI Language Training, you need a strong background in linguistics, natural language processing (NLP), and machine learning, often supported by a degree in computer science, computational linguistics, or a related field. Familiarity with programming languages like Python, frameworks such as TensorFlow or PyTorch, and experience with annotation tools or dataset management are typically required. Attention to detail, problem-solving skills, and effective communication are important soft skills for refining models and collaborating with cross-functional teams. These qualifications ensure that language models are accurately trained, continuously improved, and aligned with real-world use cases.

What are some common challenges faced in an AI Language Training role?

Professionals in AI Language Training often encounter challenges such as handling ambiguous or noisy language data, ensuring model outputs are both accurate and unbiased, and staying updated with rapid advancements in AI research. Balancing data quality with scalability and collaborating across multidisciplinary teams to define linguistic requirements can also present complexities. However, these challenges make the work dynamic and intellectually stimulating, offering continuous learning opportunities and the chance to significantly impact the performance of AI-powered language systems.
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Ai Language Training jobs near you
Infographic showing various Ai Language Training job openings in the United States as of May 2026, with employment types broken down into 5% Internship, 74% Full Time, 16% Part Time, and 5% Contract. Highlights an 58% In-person, and 42% Remote job distribution, with an average salary of $68,682 per year, or $33 per hour.
Bilingual ESL Tutor for AI Language Training (Remote)

Bilingual ESL Tutor for AI Language Training (Remote)

DataAnnotation

Brooklyn, NY • Remote

$20/hr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

A leading technology firm in the United States is seeking an ESL Tutor for a remote position to train AI models. The tutor will engage with chatbots in Hebrew and English to measure their progress and write conversations to enhance their responses. Candidates should be fluent in both languages with a strong grasp of grammar.

This role offers flexible scheduling and hourly pay starting at $20, along with bonuses for high-quality work. #J-18808-Ljbffr

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