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Ai Language Trainer Jobs (NOW HIRING)

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 ...

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 ...

$65/hr

Are you a Dutch language expert eager to shape the future of AI? Largescale language models are evolving from clever chatbots into powerful engines of linguistic discovery. With highquality training ...

$6 - $18/hr

Wing Data is looking for Freelance AI Audio & Video Trainers to support one of our clients on an AI ... Language Required: * Thai * Spanish * German * French * Hindi/Hinglish * Japanese * Portuguese

AI/ML Engineer

Reston, VA

$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 ...

AI Enablement Trainer Job title: Technical Field Trainer - AI Enablement (full-time) Location ... Large Language Models (LLMs) and foundation model concepts * Prompt engineering techniques and best ...

New

Engage in dynamic, prompt-driven conversations with language models, challenging them with work representative of Fortune 500 business environments. * Evaluate AI-generated solutions by comparing ...

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Ai Language Trainer information

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How much do ai language trainer jobs pay per hour?

As of Jul 22, 2026, the average hourly pay for 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 are the key skills and qualifications needed to thrive in the Ai Language Trainer position, and why are they important?

To thrive as an Ai Language Trainer, you need a solid understanding of linguistics, natural language processing, and data annotation, often supported by a degree in computer science, linguistics, or a related field. Familiarity with annotation platforms, scripting languages like Python, and AI training or evaluation tools is highly advantageous. Exceptional attention to detail, analytical thinking, and strong communication skills help you excel when creating and refining language datasets. These skills are crucial for producing high-quality language models that power accurate and reliable AI applications.

What are the typical daily responsibilities of an Ai Language Trainer?

As an Ai Language Trainer, your daily tasks usually involve curating and annotating language data, reviewing and correcting AI-generated outputs, and providing detailed feedback to improve language models. You'll often collaborate with data scientists, software engineers, and fellow linguists to identify gaps in model performance and discuss strategies for improvement. Additionally, you may be responsible for designing linguistic evaluation tests and participating in quality assurance processes. The role requires a mix of independent problem-solving and teamwork to ensure ongoing enhancements in AI language understanding.

What is an AI Language Trainer job?

An AI Language Trainer is responsible for improving AI language models by providing high-quality training data, refining responses, and ensuring accuracy, clarity, and relevance. This role often involves reviewing and annotating text, evaluating model outputs, and offering linguistic or grammatical corrections. AI Language Trainers may also collaborate with engineers and researchers to enhance the model’s performance and adaptability across different topics and contexts.

More about Ai Language Trainer jobs
What cities are hiring for Ai Language Trainer jobs? Cities with the most Ai Language Trainer job openings:
What are the most commonly searched types of Ai Language Trainer jobs? The most popular types of Ai Language Trainer jobs are:
What states have the most Ai Language Trainer jobs? States with the most job openings for Ai Language Trainer jobs include:
Infographic showing various Ai Language Trainer job openings in the United States as of July 2026, with employment types broken down into 73% Full Time, 24% Part Time, and 3% Contract. Highlights an 65% Physical, 3% Hybrid, and 32% Remote job distribution, with an average salary of $64,984 per year, or $31.2 per hour.
Senior AI Language Model Engineer

Senior AI Language Model Engineer

Oxy

Houston, TX • On-site

$99K - $137K/yr

Full-time

Posted 13 days ago


Job description

Oxy produces, markets and transports oil and natural gas to maximize value and provide resources fundamental to life. The company leverages its global leadership in carbon management to advance lower-carbon technologies and products. Headquartered in Houston, Oxy primarily operates in the United States, Middle East and North Africa. To learn more, visit Oxy
Oxy strives to attract and retain talented employees by investing in their professional development and providing rewarding opportunities for personal growth. Our goal is to meet the highest employer standards by ensuring the health and safety of our employees, protecting the environment and positively impacting our communities where we do business.
We are looking for an experienced and innovative individual contributor to fill the position of AI Language Model Engineer within our AI Center of Excellence group based in Houston, TX.
Essential Job Responsibilities
  • End-to-end design, research, development, and deployment of language engineering use cases, with continuous client engagement and collaboration.
  • Hands-on development in a shared codebase with the team. Back-end engineering with AWS, Terraform, etc. Working front-end proficiency when needed.
  • Design workflows for language model deployment. Perform prompt engineering, pre-processing, and post-processing to optimize output suitability.
  • Fine-tune and optimize multi-agentic systems to satisfy use case requirements.
  • Work with domain experts to assess model quality.

Qualifications:
  • PhD in Engineering, Computer Science, Data Science, Artificial Intelligence, or a related field.
  • Very strong proficiency in Python, with hands-on experience using version control systems.
  • Strong foundation in large language models (LLMs) and natural language processing (NLP), with practical experience demonstrated through GitHub repositories, research publications, or a portfolio.
  • Familiarity with modern NLP/LLM frameworks and libraries such as LangChain, LangGraph, Hugging Face Transformers, and vector databases.
  • Experience with Retrieval-Augmented Generation (RAG), multi-agentic systems, and agentic frameworks (e.g., Strands Agents SDK), with the ability to design, build, and deploy end-to-end AI agents and orchestration pipelines.
  • Familiarity with cloud platforms such as AWS (EC2, S3, SageMaker, Bedrock, etc.) through projects.
  • Strong communication skills for collaborating with teams and presenting technical results.

Additional Desired Qualifications:
  • Familiarity with any front-end development (e.g., React) to build user-facing applications.
  • Ability to end-to-end develop and deploy full-stack applications - from data ingestion and model development through back-end APIs to front-end interfaces - in addition to the core data science and ML work.
  • Experience with database systems (SQL and/or NoSQL) and data pipeline orchestration tools (e.g., Step Functions).
  • Experience working in fast-paced, startup-like, or R&D-heavy environments.

Occidental does not offer sponsorship of employment-based nonimmigrant visa petitions for this role.
Recruitment Fraud
It has come to our attention various individuals and/or organizations are contacting people falsely pretending to recruit on behalf of Oxy. Please be aware that these recruiting scams and communications do not originate nor are they associated with our recruitment process. All Oxy job postings and offers will require a completed application through our company website.
Oxy does not charge a fee at any stage of the recruiting process. We will never:
• Ask you to pay for applications, interviews, meetings, processing, training or for any other fees
• Use recruiting or placement agencies that charge candidates an advance fee of any kind or
• Request personal information such as passport and bank account details at an early stage of our recruitment process.
We recommend against responding to unsolicited business propositions or offers from people you don't know. Do not disclose your personal or financial details. If you believe you have been the victim of a recruiting scam, please contact your local police department.
All qualified applicants will receive consideration for employment without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.

Oxy logo

About Oxy

Sourced by ZipRecruiter

For 100 years, Oxy has developed extensive assets, infrastructure, expertise and technology to fuel progress and improve lives around the world. Now we’re leveraging these resources to help solve the planet’s most pressing environmental challenges. We want to be part of the solution, so we're taking bold steps to innovate new technologies for a low-carbon future. Oxy produces energy and essential products to sustain and improve life on our planet. Our experienced teams, located in the United States, Middle East, Africa and Latin America, are committed to safe and efficient operations and products, and to reducing our carbon footprint and helping others do the same.

Industry

Oil and gas extraction

Company size

10,000+ Employees

Headquarters location

Houston, TX, US