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Weekend Software Developer Ai Trainer Jobs in Virginia

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?

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?

Software Developer

Dahlgren, VA · On-site

$69K - $158K/yr

R0242591 Software Developer The Opportunity: As a full stack developer, you can resolve a problem ... Candidate AI Usage Policy AI is a part of our daily work at Booz Allen, and we are committed to the ...

Software Developer The Opportunity: As a full stack developer, you can resolve a problem with a ... Candidate AI Usage Policy AI is a part of our daily work at Booz Allen, and we are committed to the ...

Software Developer

Arlington, VA · On-site

$69K - $158K/yr

Arlington, Virginia, USA Software Developer The Opportunity: As a full stack developer, you can ... Candidate AI Usage Policy AI is a part of our daily work at Booz Allen, and we are committed to the ...

Software Developer

Dahlgren, VA · On-site

$69K - $158K/yr

Software Developer The Opportunity: As a full stack developer, you can resolve a problem with a ... Candidate AI Usage Policy AI is a part of our daily work at Booz Allen, and we are committed to the ...

Software Developer The Opportunity: As a full stack developer, you can resolve a problem with a ... Candidate AI Usage Policy AI is a part of our daily work at Booz Allen, and we are committed to the ...

This role sits at the intersection of software engineering, data engineering, and AI innovation, supporting the development of enterprise solutions that leverage large datasets and advanced language ...

This role sits at the intersection of software engineering, data engineering, and AI innovation, supporting the development of enterprise solutions that leverage large datasets and advanced language ...

You'll join a rigorous training program that combines skills assessments, a comprehensive ... Candidate AI Usage Policy AI is a part of our daily work at Booz Allen, and we are committed to the ...

Software Developer

Dahlgren, VA · On-site

$69K - $158K/yr

You'll join a rigorous training program that combines skills assessments, a comprehensive ... Candidate AI Usage Policy AI is a part of our daily work at Booz Allen, and we are committed to the ...

You'll join a rigorous training program that combines skills assessments, a comprehensive ... Candidate AI Usage Policy AI is a part of our daily work at Booz Allen, and we are committed to the ...

... AI/ML/Data Management. The program technical teams focus on streamlining operations, automating ... a SW developer * Utilize the SCRUM Agile methodology for all software application development ...

... AI/ML/Data Management. The program technical teams focus on streamlining operations, automating ... a SW developer * Utilize the SCRUM Agile methodology for all software application development ...

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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 Virginia? The most popular types of Software Developer Ai Trainer jobs in Virginia are:
What cities in Virginia are hiring for Weekend Software Developer Ai Trainer jobs? Cities in Virginia with the most Weekend Software Developer Ai Trainer job openings:
Software Engineer - AI Trainer

Software Engineer - AI Trainer

micro1 AI

Virginia Beach, VA • Remote

$20 - $75/hr

Part-time

Posted 20 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.