Senior Transportation Engineer

Jobtailor; Oklahoma City (OK); On-site; USD 55,104 - 110,208; Part time

Job summary

Freese And Nichols is seeking a Senior Software Engineer contractor to help train next-generation AI systems. You will help shape how models learn, reason, and perform by building high-quality reinforcement learning environments and tooling.

This remote role is about 15 hours per week and requires expertise in Python3, Java, Rust, Go, C++, or TypeScript. You will work with a distributed team to deliver reproducible environments and robust reference solutions.

Qualifications

• Proficiency in Python3, Java, Rust, Go, or TypeScript with strong code quality.
• Deep understanding of algorithms and data structures; performance tuning.
• Experience debugging complex software systems and delivering maintainable solutions.
• Strong communication and collaboration in remote teams.

Responsibilities

• Create Reinforcement Learning Environments to test AI model problem solving on coding tasks.
• Develop reproducible environments and golden reference solutions.
• Collaborate with cross-functional teams to ensure quality and reliability.

Skills

Python3

Java

Rust

Go

TypeScript

C++

Algorithms

Data structures

Performance tuning

Debugging

Refactoring

Remote collaboration

Tools

Git

CI/CD

Job description

Job Title

Senior Software Engineer

Job Type

Contractor (~15 hrs a week)

Location

Remote

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.

We are seeking strong Software Engineers to join our customer's team with expertise in Python3, Java, Rust, Go, C++, or TypeScript. This is a unique opportunity to directly impact the next generation of AI by leveraging your advanced engineering skills in a dynamic, remote setting.

Responsibilities

As an expert you will be creating Reinforcement Learning Environments which test an AI model’s ability to solve complex software engineering problems related to fixing code, creating features, refactoring code and optimizing performance. You will be tasked with creating a reproducible environment and golden reference solution for the problem.

Required Skills and Qualifications

• Proficiency in Python3, Java, Rust, or TypeScript, with additional experience in C++ or Go considered a strong asset.
• 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.

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.