AI Engineer

A continuación se detalla todo lo que necesita saber sobre lo que implica esta oportunidad, así como lo que se espera de los solicitantes.

Position:

AI Engineer

Type:

Hourly Contract (Part-Time)

Compensation:

$60–$120/hour

Location:

Remote

About the Opportunity
This opportunity is for experienced

AI Engineers and Software Engineers

with expertise in

Python, Java, C++, Rust, TypeScript, algorithms, debugging, codebase refactoring, and performance optimization

to contribute to advanced

AI research and evaluation projects .
You'll apply your software engineering expertise to create

Reinforcement Learning (RL) environments

that test AI models on complex software engineering workflows. Tasks may involve debugging, feature implementation, code refactoring, performance optimization, and working with

Model Context Protocol (MCP)

tools.
No prior

AI experience

is required — your technical expertise is what matters.
Responsibilities
Design and develop

Reinforcement Learning environments

that evaluate AI models on realistic software engineering workflows.
Create tasks involving

bug fixing, feature implementation, codebase refactoring, and performance optimization .
Develop reproducible environments with

deterministic verification and golden reference solutions .
Design workflows that require AI agents to discover and reason over information using

MCP tools and real MCP servers .
Evaluate AI-generated software solutions for

correctness, maintainability, performance, and scalability .
Apply strong knowledge of

algorithms, data structures, debugging, and systems engineering

to create challenging evaluation tasks.
Provide structured technical feedback to improve

AI model reasoning and software engineering capabilities .




Collaborate with technical teams to maintain consistent evaluation standards and high-quality deliverables.
Required Qualifications
Strong proficiency in at least one of

C++, Python, Java, Go, TypeScript, or Rust .
Deep understanding of

algorithms, data structures, and performance optimization .
Demonstrated experience 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 .
Excellent

analytical, problem-solving, written, and verbal communication skills .
Strong attention to detail and ability to work independently.
Experience collaborating effectively within

cross-functional or remote engineering teams .
Preferred Qualifications
Experience working with

large-scale or distributed codebases .
Familiarity with

AI, machine learning, generative AI, or AI agent systems .
Experience with

MCP, agentic workflows, or developer tools .
Background in rigorous

code reviews, software testing, and engineering best practices .
Experience designing

benchmarks, evaluation environments, or technical assessments .
Familiarity with

DevOps, CI/CD, cloud infrastructure, or systems engineering .
Compensation
Competitive compensation of $60–$120/hour.
Hourly contract engagement.
Part-time opportunity of approximately 15 hours per week.
Fully remote with versátil scheduling , including the option to choose your preferred working days and hours.
Output-based compensation

may apply, with payment based on completed tasks meeting project specifications. xkdbapo
Application Process
Apply to the role and complete the required screening questions
Complete an AI interview of approximately 30 minutes
Complete the technical assessment, if required
Hiring Manager review
Complete onboarding and begin the engagement

Hay opciones de teletrabajo/trabajo desde casa disponibles para este puesto.

📌 Machine Learning Engineer (Remote | $60–$120/hr) (Cequeliños)
🏢 Synthires
📍 Cequeliños