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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

$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 ...

Meridial

$65/hr

Are you a Dutch language expert eager to shape the future of AI? Largescale language models are ... With highquality training data, tomorrow's AI can democratize worldclass education, keep pace with ...

Assured Consulting Solutions

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 ...

Unconventional AI

AI Systems, Training

Unconventional AI is a pioneering company focused on revolutionizing computing to meet the ... language, and world models. • Design and scale multi-node distributed training systems ...

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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 Jul 28, 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 are Seasonal AI Language Training jobs?

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

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 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
Senior AI Language Model Engineer

Senior AI Language Model Engineer

Oxy

Houston, TX • On-site

$99K - $137K/yr

Full-time

Posted 19 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.
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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

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