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Part Time Remote Game Programmer Jobs (NOW HIRING)

Implicit

AI Engineer (US-Based / Part-Time)

Applied AI Engineer (Part-Time, Remote - U.S.) Innovation is at the heart of what we do. At Implicit, we're building the leading AI Knowledge Engine for Maintenance and Support. Our secure, no-code ...

Bitnomial, Inc

Weekend Operations Specialist

Chicago, IL · On-site +1

$75K - $150K/yr

This is a part-time, remote position ideal for someone who thrives in a fast-paced environment and ... Communicate effectively with on-call engineers and other team members to resolve operational ...

The Pennsylvania State University

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... part-time instructors to teach online courses in video game design. This role is ideal for an ...

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Part Time Remote Game Programmer information

See salary details

$11K

$92.6K

$173.5K

How much do part time remote game programmer jobs pay per year?

As of Jul 14, 2026, the average yearly pay for part time remote game programmer in the United States is $92,636.00, according to ZipRecruiter salary data. Most workers in this role earn between $24,000.00 and $145,500.00 per year, depending on experience, location, and employer.

What is the difference between Part Time Remote Game Programmer vs Part Time Remote Game Designer?

AspectPart Time Remote Game ProgrammerPart Time Remote Game Designer
Primary RoleWriting code, developing game mechanics, implementing featuresConceptualizing game ideas, designing levels, creating gameplay experiences
Required SkillsProgramming languages (C++, C#), software development, problem-solvingCreativity, storytelling, level design, user experience
Work EnvironmentRemote, collaborative with programmers and developersRemote, collaborative with artists and developers
Common Industry UsageUsed in game development teams for coding tasksUsed for designing game content and mechanics

While both roles often work remotely and require industry-specific knowledge, the Part Time Remote Game Programmer focuses on coding and technical development, whereas the Part Time Remote Game Designer emphasizes creative design and gameplay planning. Understanding these differences helps job seekers target the right opportunities in the gaming industry.

What cities are hiring for Part Time Remote Game Programmer jobs? Cities with the most Part Time Remote Game Programmer job openings:
What are the most commonly searched types of Remote Game Programmer jobs? The most popular types of Remote Game Programmer jobs are:
What states have the most Part Time Remote Game Programmer jobs? States with the most job openings for Part Time Remote Game Programmer jobs include:
Part Time Remote Game Programmer jobs near you
Infographic showing various Part Time Remote Game Programmer job openings in the United States as of July 2026, with employment types broken down into 64% Full Time, 26% Part Time, 2% Temporary, and 8% Contract. Highlights an 87% Physical, 1% Hybrid, and 12% Remote job distribution, with an average salary of $92,636 per year, or $44.5 per hour.
AI Engineer (US-Based / Part-Time)

AI Engineer (US-Based / Part-Time)

Implicit

Remote

Part-time

Posted 13 days ago

Job description

Applied AI Engineer (Part-Time, Remote - U.S.)
Innovation is at the heart of what we do.
At Implicit, we're building the leading AI Knowledge Engine for Maintenance and Support. Our secure, no-code platform transforms complex technical documents, manuals, procedures, and operational data into trusted, structured knowledge that powers both human experts and AI agents.
We're looking for a part-time Applied AI Engineer to help build the next generation of enterprise AI. You'll work alongside experienced engineers, product leaders, and AI researchers to develop production-grade AI capabilities that solve real-world problems across defense, manufacturing, customer support, and other knowledge-intensive industries.
What You'll Do
  • Design and build AI applications powered by LLMs, RAG, semantic search, and AI agents.
  • Develop intelligent pipelines for document ingestion, knowledge extraction, and retrieval.
  • Improve answer quality through prompt engineering, evaluation frameworks, and retrieval optimization.
  • Build and optimize production AI services using Python and modern AI frameworks.
  • Work with agentic development tools including Claude Code, Cursor, and AI-assisted coding workflows.
  • Write clean, maintainable, well-tested code with a strong focus on quality and reliability.
  • Collaborate closely with product, engineering, and data science teams to rapidly prototype and ship new capabilities.
  • Evaluate emerging AI models, tools, and techniques to continuously improve the platform.
Required Qualifications
  • 3+ years of experience building AI, machine learning, or NLP applications through industry, open-source, or research.
  • Strong experience with Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), embeddings, and semantic search.
  • Solid understanding of NLP, machine learning, and modern deep learning techniques.
  • Hands-on experience with PyTorch, TensorFlow, or similar ML frameworks.
  • Strong Python development skills and experience building production software.
  • Experience working with APIs, vector databases, and AI application frameworks.
  • Bachelor's degree in Computer Science or a related field, or equivalent practical experience.
Preferred Qualifications
  • Experience building AI systems for enterprise knowledge management or technical documentation.
  • Experience with AI agents, tool calling, and agentic workflows.
  • Familiarity with knowledge graphs, OCR, document parsing, or multimodal AI.
  • Experience deploying AI applications using modern MLOps practices.
  • Experience evaluating and benchmarking LLM performance.
What We Offer
  • Competitive compensation.
  • Flexible part-time schedule.
  • Remote work within the United States.
  • Flexible vacation policy.
  • Opportunity to build cutting-edge AI products with a small, experienced, and highly technical team tackling challenging real-world problems.

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