Xperteez Technology Logo

Xperteez Technology

AI Engineer | Remote - Contract

Posted 2 Days Ago
Remote
Hiring Remotely in United States
Entry level
Remote
Hiring Remotely in United States
Entry level
Create reinforcement learning environments to evaluate AI systems solving complex software engineering tasks with MCP tools. Responsibilities include designing reproducible environments, deterministic verification, golden reference solutions, bug fixes, feature implementation, codebase refactoring, and performance optimization across software codebases.
The summary above was generated by AI

Job Title: AI Engineer

Job Type: Contractor (~15 hrs a week)

Location: Remote

Schedule: Flexible, you pick the hours and days (including weekends if desired)

Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.

As an expert you will be creating Reinforcement Learning Environments which test an AI model’s ability to solve complex software engineering problems using Model Context Protocol (MCP) tools. Tasks may involve fixing bugs, implementing features, refactoring code, or optimizing performance while requiring agents to discover and reason over information from real MCP servers. You will design reproducible environments, deterministic verification, and golden reference solutions that accurately measure both MCP tool use and software engineering ability.

Required Skills

  • Python3

  • JAVA

  • Rust

  • Algorithms

  • Basics C++

  • Typescript

  • bug fixing

  • feature implementation

  • codebase refactoring

  • performance optimization

Required Skills and Qualifications:

  • Proficiency in C++, Python, JAVA, GoLang, Typescript, or Rust.

  • Deep understanding of algorithms, data structures, and performance tuning.

  • Demonstrated experience in debugging complex software issues and delivering maintainable solutions.

  • Strong background in feature development and codebase refactoring.

  • Proven ability to optimize software for performance and scalability.

  • Exceptional written and verbal communication skills, with a keen attention to detail.

  • Track record of success in collaborative, cross-functional teams, ideally in remote settings.

Preferred Qualifications:

  • Previous experience working on large-scale, distributed codebases.

  • Familiarity with modern AI or machine learning systems is a plus, though not required.

  • Background in participating in rigorous code reviews and contributing to the development of software best practices.

Process:

  • Apply to the role, filling out the screening questions

  • Complete AI Interview (approx. 30 minutes)

  • Technical Assessment (Tentative)

  • Hiring Manager review

Compensation Structure

Compensation is output-based; experts are paid per task that meets the project specifications. The time required to complete work may vary depending on the expert’s experience and workflow. Minimum submission requirements apply. Experts must submit a minimum of tasks per week.

Start Timeline & Availability

We typically fill roles within 48 hours and are looking for experts ready to jump in right away. If selected, we expect you to start your first tasks within 24–48 hours of completing onboarding.

Similar Jobs

26 Days Ago
Remote
United States
Entry level
Entry level
HR Tech • Information Technology • Professional Services • Consulting
Build reinforcement learning environments to evaluate AI systems on software engineering tasks involving MCP tools. Responsibilities include creating reproducible environments, deterministic verification, golden reference solutions, bug fixes, feature development, codebase refactoring, and performance optimization. The role is remote, flexible, contract-based, and output-focused, with no prior AI experience required.
Top Skills: C++GoJavaModel Context Protocol (Mcp)PythonRustTypescript
4 Minutes Ago
In-Office or Remote
168K-211K Annually
Expert/Leader
168K-211K Annually
Expert/Leader
Artificial Intelligence • Cloud • Software • Infrastructure as a Service (IaaS)
Lead DigitalOcean's global field and event marketing strategy, focusing on SF/Bay Area. Own first- and third-party events, drive pipeline and brand through creative attendee experiences, vendor networks, and repeatable playbooks. Partner with Sales, Product, and Growth, hire and develop the events team, and measure ROI across registrations, engagement, and revenue impact.
Top Skills: CventLumaMarketoSalesforceSplashYoutube Live
9 Minutes Ago
Remote or Hybrid
CA, USA
96K-151K Annually
Senior level
96K-151K Annually
Senior level
Gaming
Owns analytics and optimization strategy for advertising revenue across Zynga’s mobile game portfolio. Responsibilities include monitoring performance, diagnosing trends, designing A/B tests, identifying monetization opportunities, partnering with product, analytics, and data science teams, supporting AI and ML models, leading cross-functional initiatives, and mentoring analysts.
Top Skills: Artificial IntelligenceMachine LearningPythonRSQLTableau

What you need to know about the Chicago Tech Scene

With vibrant neighborhoods, great food and more affordable housing than either coast, Chicago might be the most liveable major tech hub. It is the birthplace of modern commodities and futures trading, a national hub for logistics and commerce, and home to the American Medical Association and the American Bar Association. This diverse blend of industry influences has helped Chicago emerge as a major player in verticals like fintech, biotechnology, legal tech, e-commerce and logistics technology. It’s also a major hiring center for tech companies on both coasts.

Key Facts About Chicago Tech

  • Number of Tech Workers: 245,800; 5.2% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: McDonald’s, John Deere, Boeing, Morningstar
  • Key Industries: Artificial intelligence, biotechnology, fintech, software, logistics technology
  • Funding Landscape: $2.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Pritzker Group Venture Capital, Arch Venture Partners, MATH Venture Partners, Jump Capital, Hyde Park Venture Partners
  • Research Centers and Universities: Northwestern University, University of Chicago, University of Illinois Urbana-Champaign, Illinois Institute of Technology, Argonne National Laboratory, Fermi National Accelerator Laboratory

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account