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From Home Artificial Intelligence Trainer Jobs (NOW HIRING)

L3Harris

Intern , Artificial Intelligence

Melbourne, FL · On-site

$22.50 - $41/hr

Experience maintaining training and inference infrastructure for ML models PAY TRANSPARENCY: In ... from unlawful discrimination. All applicants will be considered for employment without regard to ...

L3Harris

Intern , Artificial Intelligence

Melbourne, FL · On-site

$25.50 - $48/hr

Experience maintaining training and inference infrastructure for ML models PAY TRANSPARENCY: In ... from unlawful discrimination. All applicants will be considered for employment without regard to ...

L3Harris

Intern , Artificial Intelligence

Rochester, NY · On-site

$25.50 - $48/hr

Experience maintaining training and inference infrastructure for ML models PAY TRANSPARENCY: In ... from unlawful discrimination. All applicants will be considered for employment without regard to ...

Divvy Cloud Corp.

$322 - $436/hr

Vice President, Artificial Intelligence Rapid7 is seeking a VP, AI to define and drive our global ... We know that the best ideas and solutions come from multi‑dimensional teams. That's because these ...

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

As of Sep 3, 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

Member of Technical Staff, Machine Learning, Artificial Intelligence (AI) Required, Work From Home

Ginas Tech Jobs

San Francisco, CA • On-site, Remote

Full-time

Medical, Dental, Vision, PTO

Re-posted 26 days ago

Job description

Company Description
Job Description
Member of Technical Staff, Machine Learning, Artificial Intelligence (AI) Required, Work From Home
As a Member of Technical Staff, Machine Learning, you will build core ML components. The Member of Technical Staff will work on real production systems from day one, learning how large-scale ML behaves outside of research settings. The Member of Technical Staff role is for engineers who want to develop strong systems judgment by shipping, debugging, and iterating on real-world ML. This position is 100% Remote.
Member of Technical Staff Responsibilities:
- Build and improve ML components across data, training, evaluation, and inference.
- Fine-tune and adapt models as part of larger production systems.
- Implement evaluation and testing to understand model behavior.
- Help build and maintain data pipelines for real-world and synthetic data.
- Debug model issues, performance problems, and production incidents.
- Ship improvements iteratively and learn from real user feedback.
- Work closely with senior ML engineers and product teams.
- Work under real production constraints: latency, cost, reliability, and safety
Member of Technical Staff Outcomes:
- ML models in production meet expected accuracy, latency, and reliability targets.
- Production issues are identified quickly, debugged effectively, and root causes addressed.
- Data pipelines, training loops, and inference systems are robust, reproducible, and maintainable.
- Collaborates effectively with engineers, product, and research teams to deliver reliable ML-powered features.
- Iterations on models and systems are driven by real-world signals and measurable improvements.
Qualifications
Member of Technical Staff Qualifications:
- Strong foundations in machine learning and modern neural architectures.
- Artificial Intelligence (AI) experience required.
- Some hands-on experience training, fine-tuning, or deploying ML models.
- Comfortable writing production-quality code and learning new tools quickly.
- Curious, coachable, and eager to learn from real systems in production.
- Able to work through ambiguity with guidance and grow ownership over time.
- Bias toward shipping, iteration, and continuous improvement.
- Tech Stack: GPU, JAX, ML, Machine Learning, Python, and PyTorch.
Benefits include medical insurance, Dental, Vision, Savings Plan Options, PTO, etc.
Keywords: San Francisco CA Jobs, Member of Technical Staff, GPU, JAX, Machine Learning, Member of Technical Staff, ML, Python, PyTorch, Programming, Programmer Analyst, Software Engineer, Software Developer, Work From Home, California Recruiters, IT Jobs, California Recruiting
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Additional Information
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