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Contract Gameplay Engineer Jobs (NOW HIRING)

Weekday AI

2D Game Developer -Defold

Contract Location: Remote Become a part of our customer's forward-thinking team as a 2D Game Developer focused on Defold. In this position, you will design lightweight, high-performance 2D games ...

Weekday AI

Game Developer - Java libGDX

$52.25 - $67.50/hr

Contract Location: Remote Become a part of our client's energetic team as a Java Game Developer (libGDX), where you will create captivating 2D and 3D cross-platform games. Utilizing Java and the open ...

Weekday AI

Game Engine Developer (O3DE)

Contract Location: Remote Become a part of our customer's team as a Game Engine Developer focusing on the Open 3D Engine (O3DE), contributing to the creation of high-performance, AAA-quality games.

Category Labs

Smart Contract Engineer

New York, NY · On-site

$180K - $250K/yr

The Role Category Labs is looking for a Smart Contract Engineer to join the core engineering team ... game-changer for mass user adoption in crypto. * The right team. You'll be part of a small ...

Weekday AI

Python Game Developer

$50 - $120/hr

Python Game Developer (Panda3D) Job Type ... Contract Location: Remote Job Summary: In this position, you will utilize your expertise to assist ...

Code Plus Inc

3D Game Developer - XR/VR

Petersburg, VA · On-site

As required by Army contract Citizenship Requirement: U.S. Citizenship In this role, you will ... Develop scripts and application logic in Unity (C#) to support gameplay systems, simulation logic ...

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All JobsContract Gameplay Engineer Jobs

Contract Gameplay Engineer information

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$81K

$145.4K

$205K

How much do contract gameplay engineer jobs pay per year?

As of Jun 20, 2026, the average yearly pay for contract gameplay engineer in the United States is $145,359.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,000.00 and $173,000.00 per year, depending on experience, location, and employer.

What are Contract Gameplay Engineers?

Contract Gameplay Engineers are software developers hired on a temporary or project basis to design, implement, and refine interactive features in video games. They work closely with game designers, artists, and other developers to build gameplay systems such as player controls, game mechanics, and in-game events. Contract roles are often project-specific, allowing companies to bring in specialized talent for the duration of a particular game’s development cycle. These engineers typically write code, debug gameplay issues, and help ensure a smooth and engaging player experience.

Which is the hardest field in it?

In the role of Contract Gameplay Engineer, the most challenging aspects often involve mastering complex game mechanics, optimizing performance, and working within tight deadlines. Skills in programming languages like C++ and familiarity with game engines such as Unreal or Unity are essential, and troubleshooting bugs can be particularly demanding. The field requires strong problem-solving abilities and adaptability to evolving project needs.

What engineers make $500,000?

Senior-level engineers in specialized fields such as software engineering, data engineering, or systems architecture can earn $500,000 or more annually, especially with extensive experience, advanced skills, and working in high-demand industries or companies. Compensation often includes base salary, bonuses, and stock options, particularly in technology firms or startups with significant growth potential.

How much does a gameplay engineer make?

A gameplay engineer typically earns between $70,000 and $120,000 annually, depending on experience, location, and the complexity of projects. Entry-level positions may start lower, while experienced engineers with specialized skills or working on high-profile titles can earn higher salaries. Compensation often includes benefits such as bonuses, stock options, and opportunities for professional development.

What is the difference between Contract Gameplay Engineer vs Contract Software Engineer?

AspectContract Gameplay EngineerContract Software Engineer
Required CredentialsBachelor's in Computer Science, experience in game developmentBachelor's in Computer Science or related field, general programming skills
Work EnvironmentGame studios, entertainment companies, remote optionsTech companies, software firms, various industries
Employer & Industry UsagePrimarily in gaming and entertainmentAcross multiple industries including tech, finance, healthcare
Search & Comparison IntentFocus on game development rolesBroader software development roles

Contract Gameplay Engineers specialize in developing interactive gaming features, working closely with game designers and artists. In contrast, Contract Software Engineers have a broader scope, working on various software applications across industries. While both roles require strong programming skills and similar credentials, their work environments and industry focus differ significantly.

What are the key skills and qualifications needed to thrive as a Contract Gameplay Engineer, and why are they important?

To thrive as a Contract Gameplay Engineer, you need strong proficiency in programming languages like C++ or C#, experience with game engines such as Unity or Unreal, and a solid understanding of game design principles. Familiarity with version control systems (e.g., Git), debugging tools, and sometimes certifications in software development are typically required. Creative problem-solving, effective communication, and the ability to collaborate remotely with diverse teams are crucial soft skills. These competencies ensure efficient development, integration of engaging gameplay features, and seamless teamwork within dynamic, project-based environments.

What are some common challenges faced by Contract Gameplay Engineers, and how can they be managed effectively?

Contract Gameplay Engineers often face challenges such as quickly adapting to new codebases, integrating with established development pipelines, and aligning with the creative vision of ongoing projects. To manage these effectively, clear communication with team leads, thorough documentation review, and proactive collaboration with designers and other engineers are essential. Building strong relationships early on helps streamline feedback loops and ensures your contributions align well with project goals, leading to successful contract outcomes.

What does a gameplay engineer do?

A gameplay engineer designs, develops, and implements the core mechanics and features of a video game, ensuring they function smoothly and enhance player experience. They work closely with designers and artists, often using programming languages like C++ or C#, and utilize game engines such as Unity or Unreal Engine. Their role involves debugging, optimizing performance, and integrating gameplay elements into the overall game architecture.
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Contract Gameplay Engineer jobs near you
Knowledge Graph & Ontology Engineer (AI Knowledge Representation)

Knowledge Graph & Ontology Engineer (AI Knowledge Representation)

iBusiness Funding LLC

Fort Lauderdale, FL • On-site

Full-time

Posted 28 days ago

Job description

About iBusiness.ai
iBusiness.ai is a leading financial technology company transforming the way banks, credit unions, and lenders innovate. As a pioneer in secure AI, automation, and AI software development, iBusiness.ai builds infrastructure and platforms that empower financial institutions to modernize faster-without sacrificing compliance or security. Its technology enables seamless digital transformation across lending, banking, and customer experience systems, giving institutions the tools to compete and innovate at enterprise scale.
Join us and be part of a team that's transforming the finance industry and empowering businesses to thrive!
Position Description
We are seeking an experienced Knowledge Graph & Ontology Engineer to design, implement, and govern the knowledge representation layer for next-generation AI systems. This role builds the foundational knowledge structures-ontologies, semantic models, knowledge graphs, provenance, and data fusion patterns-that enable AI agents and LLM applications to reason over enterprise knowledge reliably. You will collaborate closely with Retrieval/Relevance engineering, AI researchers, and data engineering to ensure our knowledge is well-structured, consistent, explainable, and evolvable.
Major Areas of Responsibility
Knowledge Representation & Semantic Modeling
  • Develop and maintain ontologies, knowledge graphs, and semantic data models to structure and integrate domain knowledge for improved reasoning and downstream retrieval.
  • Define canonical entities, relationships, attributes, and constraints, including taxonomy/controlled vocabularies and semantic definitions.
  • Establish schema versioning, governance, and backward compatibility strategies to evolve the knowledge model safely.

Data Fusion & Knowledge Integration
  • Aggregate disparate knowledge bases and heterogeneous data into a fused, consistent representation with clear semantics and lineage.
  • Design integration patterns for structured + unstructured sources (e.g., documents → entities/relations) and maintain alignment across domains.

Provenance, Lineage, and Data Quality
  • Define and enforce provenance/lineage standards (source attribution, timestamps, confidence, auditability).
  • Collaborate with pipeline engineers to implement validation rules and quality gates for knowledge graph construction (e.g., integrity constraints, anomaly detection).
  • Cognitive Memory & Persistent Knowledge Structures (Representation View)
  • Design representation primitives that support cognitive memory architectures for AI agents (identity, episodic traces, persistent facts, context scoping).

Collaboration & Documentation
  • Partner with Retrieval/Relevance engineering to define metadata contracts and "safe traversal" semantics for graph-aware retrieval.
  • Maintain clear documentation of schemas, ontologies, knowledge modeling guidelines, and governance processes.
  • Evaluate and integrate new technologies and research in knowledge representation and semantic modeling.

Required Knowledge, Skills, and Abilities
  • Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or related field (or equivalent experience).
  • Proven experience building knowledge graphs, semantic data models, and/or enterprise knowledge bases.
  • Experience with semantic technologies and standards (as applicable): RDF, OWL, SPARQL (or equivalent graph/ontology concepts).
  • Strong foundations in data modeling, entity resolution/canonicalization, and schema governance.
  • Proficiency in Python and working with data pipelines (in collaboration with data engineering).
  • Excellent analytical, problem-solving, and cross-functional communication skills.

Nice To Haves
  • Experience designing agent memory representations (episodic/semantic memory patterns, long-term context).
  • Familiarity with LLM grounding patterns (provenance, citations, trust signals).
  • Experience with graph databases and tooling (e.g., Neo4j/AWS Neptune equivalents).
  • Experience with data-centric AI and training data quality assessment.

Primary Ownership (What success looks like)
  • The knowledge model is correct, consistent, explainable, and governable.
  • High-quality entity resolution + clean relationships + strong provenance coverage.
  • Stable schemas that evolve without breaking downstream applications.

Conclusion:
This job description is intended to convey information essential to understanding the scope of the job and the general nature and level of work performed by job holders within this job. This job description is not intended to be an exhaustive list of qualifications, skills, efforts, duties, responsibilities, or working conditions associated with the position.
The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, genetic information, or any other characteristic protected by law.

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