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Ai Language Trainer Jobs (NOW HIRING)

AI Systems, Training

Palo Alto, CA · On-site

$123K - $168K/yr

Unconventional AI is a company focused on redefining computing to solve the energy limitations of ... language, and world models. • Design and scale multi-node distributed training systems ...

In this role, you will contribute to training AI systems to better understand, generate, and refine language by performing structured evaluation and writing tasks, all from the comfort of your home ...

In this role, you will help develop and evaluate advanced AI systems designed to replicate real ... Support data generation and evaluation processes to improve next-generation large language models ...

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Ai Language Trainer information

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$31

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How much do ai language trainer jobs pay per hour?

As of Jul 2, 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 June 2026, with employment types broken down into 29% Full Time, 60% Part Time, and 11% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $64,984 per year, or $31.2 per hour.
Applied AI Scientist, Small Language Model and AI Training

Applied AI Scientist, Small Language Model and AI Training

Postman

San Francisco, CA • On-site

$218K - $288K/yr

Other

Posted 25 days ago


Job description

The Opportunity

As an Applied Scientist specializing in Small Language Models and AI Training, you will lead research and development efforts focused on building efficient, high-performance language models tailored for practical applications. You will work closely with research, engineering, and product teams to advance model training techniques, optimize architectures, and scale AI solutions. Your work will directly contribute to AI systems that are safe, interpretable, and impactful across diverse usage scenarios.

What You'll Do
  • Lead research and development of novel training methodologies and architectures for small and efficient language models.

  • Design, implement, and evaluate model training experiments to improve performance, robustness, and generalization of language models.

  • Collaborate closely with research scientists and engineers on scalable training pipelines and model deployment strategies.

  • Develop techniques for model compression, fine-tuning, and domain adaptation to optimize models for real-world applications.

  • Ensure AI safety, fairness, and alignment principles are integrated into model training processes and evaluated rigorously.

  • Mentor and support cross-functional teams on applied machine learning methods and best practices.

  • Evaluate and integrate new tools, frameworks, and datasets to accelerate AI training workflows.

  • Partner with product teams to translate model capabilities into actionable features aligned with user needs and ethical standards.

About You
  • Have demonstrated experience in applied research or engineering roles focused on training language models, ideally small or efficient models.

  • Strong programming skills in Python and familiarity with machine learning frameworks such as PyTorch, TensorFlow, or JAX.

  • Deep understanding of language model architectures, training techniques, and optimization strategies.

  • Experience with distributed training, data pipeline design, and scalable AI infrastructure.

  • Passion for AI safety, interpretability, and delivering user-centered AI technology.

  • Excellent communication skills with proven ability to collaborate across research, engineering, and product teams.

Preferred
  • Prior experience working with large and small language models in production or research settings.

  • Background in reinforcement learning, prompt engineering, or transfer learning techniques.

  • Experience with developer tools, APIs, or frameworks related to AI model integration and delivery.

  • Knowledge of AI alignment, fairness, and ethical AI training methodologies.

The reasonably estimated base salary for this role ranges from $218,500.00 to $288,000.00, plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications, and experience.