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Remote Java Trainer Jobs in Fairfield, CA (NOW HIRING)

10a Labs

Software Engineer, Backend

San Francisco, CA · Remote

$105K - $125K/yr

Proficiency in backend programming languages such as Python, Java, Kotlin, Node.js, or Go and ... or leadership training * Work Environment: Fully remote, U.S.-based * Health Benefits:

Circle

Manager, Software Engineering

San Francisco, CA · On-site +1

$195K - $257K/yr

... training and development, performance evaluation) * Act as an internal ambassador for the ... Go, Java, and/or Javascript * Hands on technical manager experienced in designing, building and ...

Circle

Manager, Software Engineering

San Francisco, CA · Remote

$195K - $257K/yr

... training and development, performance evaluation) * Act as an internal ambassador for the ... Go, Java, and/or Javascript * Hands on technical manager experienced in designing, building and ...

Troveo AI Inc

Senior Back End Engineer

San Francisco, CA · On-site +1

$185K - $225K/yr

Troveo indexes, enriches, and packages this high-quality data into formats ready for training, fine ... Go, Python, Java, or TypeScript * Experience with Docker and container orchestration * Experience ...

Pinterest

Principal Engineer, AI Platform

San Francisco, CA · On-site +1

$242K - $499K/yr

Recommender Systems: feature stores, training infra, and large-scale high performance inference ... Palo Alto, CA or San Francisco, CA. #LI-REMOTE #LI-AH2 At Pinterest we believe the workplace should ...

All JobsJava Trainer JobsRemote Java Trainer JobsRemote Java Trainer Jobs in Fairfield, CA

Remote Java Trainer information

How does a Remote Java Trainer typically structure interactive learning sessions to keep remote learners engaged?

A Remote Java Trainer often uses a blend of live coding demonstrations, real-time Q&A, and breakout group exercises to foster engagement in a virtual environment. Many trainers incorporate collaborative coding platforms and regular quizzes to check understanding and encourage participation. Effective trainers also schedule office hours or one-on-one sessions to address individual questions and challenges, ensuring that remote learners feel supported and connected despite the distance. This interactive approach helps maintain high levels of motivation and retention among students.

What does a Remote Java Trainer do?

A Remote Java Trainer is responsible for teaching Java programming to students or professionals through online platforms. They develop course materials, deliver live or recorded lessons, and provide guidance on coding best practices and problem-solving. Their role also includes assessing student progress, answering questions, and preparing learners for certifications or real-world Java development tasks. Remote Java Trainers often work for educational institutions, training companies, or as independent contractors.

What is the difference between Remote Java Trainer vs Remote Java Developer?

AspectRemote Java TrainerRemote Java Developer
Required CredentialsJava certifications, teaching experienceJava certifications, coding experience
Work EnvironmentOnline training platforms, educational institutionsSoftware companies, freelance projects
Employer & Industry UsageTraining companies, e-learning platformsTech firms, startups, freelance clients
Common Search & ComparisonYesYes

Remote Java Trainers focus on teaching Java skills through online courses and training sessions, often requiring teaching credentials and experience. Remote Java Developers primarily write, test, and maintain Java applications, emphasizing coding skills and technical experience. While both roles involve Java expertise, trainers focus on education, and developers on software development.

What are the key skills and qualifications needed to thrive as a Remote Java Trainer, and why are they important?

To thrive as a Remote Java Trainer, you need expert-level proficiency in Java programming, instructional experience, and typically a relevant degree or Java certification. Familiarity with virtual classroom platforms, code collaboration tools like Git, and presentation software is important for effective remote teaching. Outstanding communication, patience, and the ability to adapt teaching methods to diverse learners make someone stand out in this position. These skills ensure that complex Java concepts are conveyed clearly and students are fully engaged and supported in a remote learning environment.
What cities near Fairfield, CA are hiring for Remote Java Trainer jobs? Cities near Fairfield, CA with the most Remote Java Trainer job openings:
Remote Java Trainer jobs near you

Senior Software Engineer - LLM Trainer

Kake Group

San Francisco, CA • Remote

$125K - $165K/yr

Contractor

Re-posted 13 days ago

Job description

We are looking for a Senior Software Engineer to contribute to the development and evaluation of AI training data for a leading expert human data platform for AI agents and LLMs.

In this role, you will work at the intersection of software engineering and artificial intelligence, helping AI labs and companies build better, safer, and more capable models. You will leverage your deep technical expertise to write prompts, produce reference-quality code solutions, evaluate model outputs, and provide the structured human signal that makes AI systems smarter.

This is not a traditional engineering role - it is a unique opportunity for senior engineers who want to shape how the next generation of AI understands, generates, and reasons about code.

Key Responsibilities

  • Create and review coding tasks based on real-world software engineering scenarios, including debugging, refactoring, code generation, API usage, automated tests, performance, security, and edge cases.
  • Write high-quality reference solutions that are correct, clear, testable, and aligned with task requirements.
  • Evaluate AI-generated code and responses using structured rubrics, assessing correctness, clarity, security, performance, maintainability, and instruction-following.
  • Compare multiple model responses, select the strongest answer, and justify your decision with clear technical reasoning.
  • Identify bugs, hallucinated APIs, missing edge cases, weak explanations, and poor engineering decisions in AI-generated outputs.
  • Work with terminal-based development workflows when needed, including running tests, debugging issues, managing dependencies, and navigating repositories.
  • Follow detailed guidelines consistently and participate in calibration activities to ensure high-quality, reliable evaluations.

Core Requirements

  • 5+ years of professional software engineering experience in a backend, fullstack, or systems role.
  • Strong proficiency in at least one core programming language, ideally Python, JavaScript/TypeScript, Go, Java, C++, or SQL.
  • Hands-on experience with Terminal-Bench, with the ability to evaluate AI agent performance on terminal-based tasks including compiling code, running tests, managing environments, and completing multi-step software engineering workflows.
  • Comfortable working with Git, command line/terminal, and common development workflows.
  • Ability to evaluate code critically - not only whether it works, but whether it is well-designed, secure, and maintainable.
  • Prior experience in AI data production, RLHF, data annotation, or LLM evaluation projects.
  • Excellent written and verbal communication skills in English.
  • Ability to work independently in a remote, asynchronous, fast-paced environment.
  • High attention to detail and the ability to follow complex, rubric-based guidelines consistently

Nice-to-Have

  • Experience with Python-heavy workflows, automated testing frameworks, Docker, Linux, bash, or containerized environments.
  • Experience with repo-level code reasoning, large codebases, or open-source contributions.
  • Background in backend systems, data engineering, DevOps, infrastructure, security, or large codebase.

Additional

- US Timezone Overlap: PST (GMT -8)

Please Note: Due to the high volume of applications, only shortlisted candidates will be contacted.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.