Xperteez Technology Logo

Xperteez Technology

🌎 AI Engineer, Remote - Contract

Posted 19 Days Ago
Remote
Hiring Remotely in United States
Entry level
Remote
Hiring Remotely in United States
Entry level
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.
The summary above was generated by AI

Job Title: AI Engineer

Job Type: Contract

Location: Remote

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

Required Skills

  • Python3

  • JAVA

  • Rust

  • Algorithms

  • Basics C++

  • Typescript

  • Bug fixing

  • Feature implementation

  • Codebase refactoring

  • Performance optimization

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 and Qualifications:

  • Proficiency inC++, 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:

  1. Apply to the role, filling out the screening questions

  2. Complete AI Interview (approx. 30 minutes)

  3. Technical Assessment (Tentative)

  4. 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

3 Minutes Ago
In-Office or Remote
RI, USA
Junior
Junior
Digital Media • Fintech • Information Technology • Machine Learning • Financial Services • Cybersecurity • Automation
Underwrite complex home equity line of credit applications by analyzing borrower documentation, tax returns, K-1s, income calculations, credit policy, and regulatory requirements. Make sound credit decisions, verify application information, identify counteroffer opportunities, document underwriting methodology, mitigate organizational risk, and meet productivity and quality standards while coordinating with loan officers and internal departments.
7 Minutes Ago
Remote
Pennsylvania, USA
95K-148K Annually
Senior level
95K-148K Annually
Senior level
Healthtech • Logistics • Pharmaceutical
Manages the solution innovation pathway, governance processes, stage-gate reviews, workstreams, backlog and roadmap administration, committee operations, reporting, and risk tracking. Coordinates cross-functional stakeholders to move ideas from intake through discovery, pilots, validation, and roadmap transition. Maintains documentation, decision logs, requirements, business cases, operating procedures, and executive updates while improving process consistency, transparency, and execution discipline.
Top Skills: ConfluenceExcelJIRAMS OfficeMicrosoft PlannerMicrosoft ProjectOutlookPowerPointSmartsheetWord
7 Minutes Ago
In-Office or Remote
230K-288K Annually
Expert/Leader
230K-288K Annually
Expert/Leader
Artificial Intelligence • Cloud • Software • Infrastructure as a Service (IaaS)
Lead DigitalOcean’s AI security strategy, governance framework, threat modeling, and multi-year roadmap. Partner with security, engineering, and data science teams to secure AI products, deploy guardrails, conduct adversarial testing and red teaming, and monitor AI/ML systems. Provide architectural reviews, executive risk briefings, and guidance on emerging threats including prompt injection, model supply-chain risks, agentic AI, and data exfiltration.
Top Skills: Agentic AiAi/MlGoIso/Iec 42001Large Language ModelsMitre AtlasNist Ai RmfOwasp Llm Top 10PythonRetrieval-Augmented Generation (Rag)

What you need to know about the Boston Tech Scene

Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.

Key Facts About Boston Tech

  • Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
  • Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
  • Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
  • Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account