ZipRecruiter

Log In

1

From Home Artificial Intelligence Trainer Jobs (NOW HIRING)

next page

Showing results 1-20

All Jobsremote JobsFrom Home Artificial Intelligence Trainer Jobs

From Home Artificial Intelligence Trainer information

See salary details

$13

$24

$36

How much do from home artificial intelligence trainer jobs pay per hour?

As of Aug 18, 2026, the average hourly pay for from home artificial intelligence trainer in the United States is $24.74, according to ZipRecruiter salary data. Most workers in this role earn between $18.75 and $26.44 per hour, depending on experience, location, and employer.

What is a from home artificial intelligence trainer?

A From Home Artificial Intelligence Trainer is a professional who works remotely to help develop and improve artificial intelligence (AI) systems. They do this by labeling data, providing feedback on AI outputs, and creating training materials to teach AI models how to perform specific tasks, such as language understanding or image recognition. This role often involves tasks like reviewing and correcting AI responses, annotating data, and ensuring that AI models become more accurate and effective over time. It's a flexible job that usually requires strong communication skills, attention to detail, and a basic understanding of technology.

What are the key skills and qualifications needed to thrive as a from home artificial intelligence trainer?

To excel as a From Home Artificial Intelligence Trainer, you need a solid understanding of AI concepts, data annotation, and strong analytical skills, often supported by a background in computer science or related fields. Familiarity with annotation tools, machine learning platforms, and project management systems is typically required. Attention to detail, effective written communication, and self-motivation are crucial soft skills for delivering accurate feedback and collaborating remotely. These skills ensure high-quality AI training data, efficient remote workflows, and the successful development of intelligent systems.

What are some common challenges faced by a from home artificial intelligence trainer, and how can they be addressed?

A common challenge for remote AI Trainers is maintaining clear communication with engineering and data science teams, as collaboration often happens asynchronously. Additionally, staying up-to-date with the latest AI tools and annotation guidelines can be demanding without in-person support. To address these challenges, it's important to actively participate in team meetings, utilize collaborative platforms, and set aside time for ongoing learning. Developing strong self-management and organization skills also helps ensure productivity and high-quality contributions.

What is the difference between From Home Artificial Intelligence Trainer vs Data Annotator?

AspectFrom Home Artificial Intelligence TrainerData Annotator
Required CredentialsBasic technical skills, training in AI conceptsAttention to detail, sometimes basic technical knowledge
Work EnvironmentRemote, home-basedRemote or on-site, depending on employer
Industry UsageAI development, machine learning projectsData labeling for AI and machine learning
Common Search IntentFrom Home Artificial Intelligence Trainer vs Data Annotator

From Home Artificial Intelligence Trainers focus on training AI models by providing labeled data and refining algorithms, often requiring some technical understanding. Data Annotators primarily label data to prepare datasets for AI, with less emphasis on technical training. Both roles are remote and essential in AI development, but trainers typically have more specialized knowledge and responsibilities.

What cities are hiring for From Home Artificial Intelligence Trainer jobs?

Cities with the most From Home Artificial Intelligence Trainer job openings:

What are the most commonly searched types of Artificial Intelligence Trainer jobs?

The most popular types of Artificial Intelligence Trainer jobs are:

What states have the most From Home Artificial Intelligence Trainer jobs?

States with the most job openings for From Home Artificial Intelligence Trainer jobs include:

From Home Artificial Intelligence Trainer jobs near you

LLM Application Engineer, Artificial Intelligence (AI) Required, Work From Home

Ginas Tech Jobs

San Francisco, CA • Remote

Full-time

Medical, Dental, Vision, PTO

Posted 5 days ago

Job description

Job Description

LLM Application Engineer, Artificial Intelligence (AI) Required, Work From Home

As an LLM Application Engineer, you will build the intelligence layer that powers the AI experiences.  You will work at the intersection of Large Language Models (LLMs), software engineering, and product designing agent workflows, improving model behavior, and turning Artificial Intelligence (AI) capabilities into reliable user experiences.  You will own problems end-to-end, from understanding user needs, designing Agentic workflows, integrating models and tools, building evaluation systems and continuously improving AI behavior in production.  This position is 100% Remote.

LLM Application Engineer Responsibilities:

- Build and ship LLM-powered applications and AI agent workflows.

- Design systems for reasoning, planning, memory, tool use and multi-step execution.

- Build reliable orchestration pipelines that turn probabilistic model outputs into predictable, observable, and safe actions.

- Integrate Large Language Models (LLMs) with APIs, databases, search, internal services, and external tools.

- Develop prompting, context engineering, structured outputs, tool-calling, and other techniques to improve model behavior.

- Build evaluation frameworks and datasets to measure AI quality, reliability, and regressions.

- Debug AI systems across the entire stack from model behavior and prompts to orchestration, backend services, and product UX.

- Optimize AI systems for quality, latency, and cost.

- Work closely with product and engineering teams to turn ambiguous product problems into working AI solutions.

- Establish production practices for observability, tracing, experimentation, evaluation, and continuous improvement.

LLM Application Engineer Outcomes:

- Artificial Intelligence (AI) features reach production quickly and deliver measurable user impact.

- LLM-powered workflows are reliable, scalable, observable, and maintainable.

- Artificial Intelligence (AI) quality improves through systematic evaluation, experimentation, and iteration.

- Artificial Intelligence (AI) workflows become increasingly predictable, efficient, and cost-effective.

- Complex AI capabilities are translated into simple, intuitive user experiences.

Qualifications

LLM Application Engineer Qualifications:

- Artificial Intelligence (AI) experience required.

- Strong software engineering fundamentals with experience building AI-powered applications.

- Hands-on experience with Large Language Models (LLMs), generative AI, or agent-based systems.

- Experience designing prompts, workflows, evaluations, or AI behavior.

- Ability to write clean, production-quality code.

- Comfortable working across abstraction layers from model to system to product.

- Strong problem-solving skills in ambiguous, fast-moving environments.

- Bias toward shipping, iteration, and continuous improvement.

- Tech Stack:  Python, LLM APIs and model providers, including OpenAI-compatible APIs and open-weight models, Agent frameworks and orchestration systems, Vector databases and retrieval systems, Backend services, APIs, and distributed systems, and PyTorch / JAX.

Benefits include medical insurance, Dental, Vision, Savings Plan Options, PTO, etc.

Keywords:  San Francisco CA Jobs, Agent Frameworks, AI, Artificial Intelligence, AI Agent Workflows, APIs, Application Engineer, Backend, Databases, Distributed Systems, JAX, LLM, Large Language Model, LLM APIs, OpenAI-Compatible APIs, Orchestration Systems, Python, PyTorch, UX, User Experience, Vector Databases, Work From Home, Remote, California Recruiters, IT Jobs, California Recruiting

Looking to hire an LLM Application Engineer in San Francisco, CA or in other cities?  Our IT recruiting agencies and staffing companies can help.

We help companies that are looking to hire LLM Application Engineers for jobs in San Francisco, California and in other cities too.  Please contact our IT recruiting agencies and IT staffing companies today!


Additional Information

Please check out all of our jobs at www.ginastechjobs.com.