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Weekend Software Developer Ai Trainer Jobs in Washington

micro1 AI

Software Engineer - AI Trainer

Washington, DC · Remote

$20 - $75/hr

We are looking for experienced software engineers to help train and evaluate next-generation AI ... Experience with CI/CD pipelines, DevOps workflows, containers, monitoring, or production operations.

Bigbear.ai

Software Developer

Annapolis Junction, MD · On-site

BigBear.ai is seeking a Software Engineer to join our team and help design, develop, and enhance complex systems that operate in real-time environments and handle massive data sets. This is your ...

GeoDelphi

AI Software Developer

Alexandria, VA · Remote

AI Software Developer Location: Remote / Alexandria, VA Clearance: Eligibility to be cleared Are you ready to be part of a team that creates cutting-edge AI-powered analysis and simulation on-demand?

GeoDelphi

AI Software Developer

Alexandria, VA · Remote

AI Software Developer Location: Remote / Alexandria, VA Clearance: Eligibility to be cleared Are you ready to be part of a team that creates cutting-edge AI-powered analysis and simulation on-demand?

GeoDelphi

AI Software Developer

Alexandria, VA · On-site +1

AI Software Developer Location: Remote / Alexandria, VA Clearance: Eligibility to be cleared Are you ready to be part of a team that creates cutting-edge AI-powered analysis and simulation on-demand?

Leidos

AI Software Developer

Gaithersburg, MD · On-site

Leidos is seeking an AI Software Developer to join the Air Traffic Business Area within the Homeland Sector , supporting the development of the Leidos Common Baseline . Common Baseline is a mission ...

Leidos

AI Software Developer

Gaithersburg, MD · Hybrid

Leidos is seeking an AI Software Developer to join the Air Traffic Business Area within the Homeland Sector , supporting the development of the Leidos Common Baseline . Common Baseline is a mission ...

Bigbear.ai

Software Developer

Annapolis Junction, MD

$109K - $228K/yr

BigBear.ai is seeking a Software Engineer to join our team and help design, develop, and enhance complex systems that operate in real-time environments and handle massive data sets. This is your ...

Leidos

Software Developer

Gaithersburg, MD · On-site

$69K - $125K/yr

We are seeking a Software Developer who will be a member of a dynamic team Air Traffic Management ... Leverage AI-assisted development tools (e.g., Roo Code, Claude, ChatGPT, or similar) to improve ...

Leidos

Software Developer

Gaithersburg, MD

$69K - $125K/yr

We are seeking a Software Developer who will be a member of a dynamic team Air Traffic Management ... Leverage AI-assisted development tools (e.g., Roo Code, Claude, ChatGPT, or similar) to improve ...

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Weekend Software Developer Ai Trainer information

What are the key skills and qualifications needed to thrive as a Weekend Software Developer AI Trainer, and why are they important?

To succeed as a Weekend Software Developer AI Trainer, you need a solid background in software development, AI concepts, and relevant programming languages such as Python, often backed by a computer science degree or equivalent experience. Familiarity with machine learning frameworks (like TensorFlow or PyTorch), code versioning tools (such as Git), and online learning platforms is typically required. Strong communication, time management, and the ability to explain complex topics clearly are crucial soft skills for this role. These competencies enable you to effectively teach aspiring developers, facilitate engaging learning experiences, and keep pace with evolving AI technologies.

What does a typical weekend look like for a Software Developer AI Trainer in terms of workload and collaboration?

As a Weekend Software Developer AI Trainer, your primary responsibilities often include annotating data, reviewing AI model outputs, and providing feedback to improve algorithms. The workload is generally structured to accommodate part-time availability, with regular check-ins or updates to ensure alignment with the training team. Collaboration usually takes place asynchronously via project management tools or chat platforms, allowing you to communicate with other trainers, engineers, and project leads. This structure enables flexibility while ensuring that project milestones and quality benchmarks are met efficiently.

What is a Weekend Software Developer AI Trainer?

A Weekend Software Developer AI Trainer is a professional who works part-time, typically on weekends, to help train artificial intelligence systems by providing feedback, reviewing AI-generated code, or creating training data. This role often involves evaluating and correcting software code produced by AI, ensuring that it meets quality and functionality standards. Weekend Software Developer AI Trainers may also assist in improving AI models by suggesting enhancements, identifying errors, and providing domain expertise in software development. This position is ideal for experienced developers looking for flexible, remote work opportunities. It contributes to the advancement of AI technologies by leveraging human expertise to refine machine learning models.
What are the most commonly searched types of Software Developer Ai Trainer jobs in Washington? The most popular types of Software Developer Ai Trainer jobs in Washington are:
Weekend Software Developer Ai Trainer jobs near you
Software Engineer - AI Trainer

Software Engineer - AI Trainer

micro1 AI

Washington, DC • Remote

$20 - $75/hr

Part-time

Posted 21 days ago

Job description

Job Title: Software Engineering


Job Type: Contractor (10-15 hours per week)

Location: Remote


Job Summary:

We are looking for experienced software engineers to help train and evaluate next-generation AI systems through real-world software engineering tasks. This role is best suited for developers who can reason through unfamiliar codebases, explain engineering decisions clearly, and solve practical backend, full-stack, systems, or infrastructure-related problems.


A Cybersecurity/SecOps background or exposure is highly preferred


No prior AI experience is required. What matters most is strong software engineering judgment, clean technical communication, and the ability to evaluate code, architecture, tradeoffs, and implementation quality.


Key Responsibilities:


  1. Work on challenging software engineering tasks across backend, full-stack, infrastructure, and systems-related projects.
  2. Review, debug, improve, and explain code across different technical environments.
  3. Design or evaluate practical solutions involving APIs, databases, services, integrations, testing, and deployment workflows.
  4. Identify tradeoffs around scalability, maintainability, performance, reliability, security, and developer experience.
  5. Communicate technical reasoning clearly in writing, including why a solution works and what alternatives were considered.
  6. Collaborate with the customer’s team on technical reviews, implementation decisions, and problem-solving exercises.
  7. Adapt quickly to new codebases, frameworks, and technical requirements.


Required Skills and Qualifications:


  1. 3+ years of hands-on software engineering experience.
  2. Strong experience in at least one backend or full-stack engineering environment, such as Python, JavaScript/TypeScript, Node.js, Java, C++, Go or Ruby
  3. Experience building, maintaining, or reviewing production-level applications, APIs, services, databases, or integrations.
  4. Strong understanding of software engineering fundamentals, including debugging, testing, code quality, architecture, and technical tradeoffs.
  5. Ability to explain complex engineering decisions clearly and objectively.
  6. Comfortable reading and reasoning through unfamiliar code or technical requirements


Preferred Qualifications:

  1. Experience with cloud environments such as AWS, GCP, or Azure.
  2. Experience with CI/CD pipelines, DevOps workflows, containers, monitoring, or production operations.
  3. Experience with frontend frameworks such as React, Next.js, Angular, Vue, or React Native.
  4. Open-source contributions, public GitHub work, technical writing, or strong examples of past engineering work.
  5. Experience mentoring engineers, reviewing code, or making architecture decisions.

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