G2i Logo

G2i

C/C++ Software Engineer, AI

Posted Yesterday
In-Office or Remote
62 Locations
Mid level
In-Office or Remote
62 Locations
Mid level
Responsible for training large-language models in code generation and evaluation, requiring proficiency in programming languages and strong code review skills.
The summary above was generated by AI

Software Engineer, AI — Code Evaluation & Training (Remote)

Help train large-language models (LLMs) to write production-grade code across a wide range of programming languages:

  • Compare & rank multiple code snippets, explaining which is best and why.

  • Repair & refactor AI-generated code for correctness, efficiency, and style.

  • Inject feedback (ratings, edits, test results) into the RLHF pipeline and keep it running smoothly.
    End result: the model learns to propose, critique, and improve code the way you do.

RLHF in one line
Generate code ➜ expert engineers rank, edit, and justify ➜ convert that feedback into reward signals ➜ reinforcement learning tunes the model toward code you’d actually ship.

What You’ll Need
  • 4+ years of professional software engineering experience in one or more of the following:
    Python, Java, JavaScript, TypeScript, Go, C++, PHP, COBOL, C, Ruby, or Rust.
    (Constraint programming experience is a bonus but not required for all languages.)

  • Strong code-review instincts—you can spot logic errors, performance traps, and security issues quickly.

  • Extreme attention to detail and excellent written communication skills.
    Much of this role involves explaining why one approach is better than another. This cannot be overstated.

  • You enjoy reading documentation and language specs and thrive in an asynchronous, low-oversight environment.

What You Don’t Need
  • No prior RLHF (Reinforcement Learning with Human Feedback) or AI training experience.

  • No deep machine learning knowledge. If you can review and critique code clearly, we’ll teach you the rest.

Tech Stack

We are looking for engineers with strong command of at least one of the following languages:
Python, Java, JavaScript, TypeScript, Go, C++, PHP, COBOL, C, Ruby, or Rust.

Logistics
  • Location: Fully remote — work from anywhere

  • Compensation: Up to $30/hr

  • Hours: Minimum 15 hrs/week, up to 40 hrs/week available

  • Engagement: 1099 contract

Straightforward impact, zero fluff. If this sounds like a fit, [apply here].

Top Skills

C
C++
Cobol
Go
Java
JavaScript
PHP
Python
Ruby
Rust
Typescript

Similar Jobs

23 Days Ago
Remote
USA
Mid level
Mid level
Artificial Intelligence • Information Technology • Internet of Things
Review and assess AI-generated C++ code, write robust C++ solutions, and provide feedback on code while ensuring high-quality outputs.
Top Skills: AIC++Machine LearningOopStl
23 Days Ago
Remote
USA
Mid level
Mid level
Artificial Intelligence • Information Technology • Internet of Things
The role involves reviewing and improving AI-generated C# code, writing scalable solutions, and evaluating AI model behavior.
Top Skills: .NetC#LinqOop
23 Days Ago
Remote
USA
Mid level
Mid level
Artificial Intelligence • Information Technology • Internet of Things
As an AI Tutor - C, review and evaluate AI-generated C code, create high-quality C solutions, and explain coding concepts clearly to improve AI systems.
Top Skills: C

What you need to know about the Montreal Tech Scene

With roots dating back to 1642, Montreal is often recognized for its French-inspired architecture and cobblestone streets lined with traditional shops and cafés. But what truly sets the city apart is how it blends its rich tradition with a modern edge, reflected in its evolving skyline and fast-growing tech industry. According to economic promotion agency Montréal International, the city ranks among the top in North America to invest in artificial intelligence, making it le spot idéal for job seekers who want the best of both worlds.

Key Facts About Montreal Tech

  • Number of Tech Workers: 255,000+ (2024, Tourisme Montréal)
  • Major Tech Employers: SAP, Google, Microsoft, Cisco
  • Key Industries: Artificial intelligence, machine learning, cybersecurity, cloud computing, web development
  • Funding Landscape: $1.47 billion in venture capital funding in 2024 (BetaKit)
  • Notable Investors: CIBC Innovation Banking, BDC Capital, Investissement Québec, Fonds de solidarité FTQ
  • Research Centers and Universities: McGill University, Université de Montréal, Concordia University, Mila Quebec, ÉTS Montréal

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account