Job Search and Career Advice Platform

Ativa os alertas de emprego por e-mail!

Sr. SWE for Code Reviewing LLM Data Training (C/C++)

G2i Inc.

Teletrabalho

BRL 80.000 - 120.000

Tempo parcial

Há 2 dias
Torna-te num dos primeiros candidatos

Cria um currículo personalizado em poucos minutos

Consegue uma entrevista e ganha mais. Sabe mais

Resumo da oferta

A leading AI training company is seeking a Code Reviewer based in Porto Alegre, Brazil, to ensure the quality of evaluations on AI-generated C/C++ code. This role requires deep expertise in C/C++, along with strong analytical skills and excellent written communication. The ideal candidate will have 5–7+ years of relevant experience and will work within project guidelines to maintain high annotation standards. Compensation is based on experience, education, and performance, allowing for personalized hourly rates.

Qualificações

  • 5–7+ years of experience in C/C++ development, QA, or code review.
  • Strong knowledge of C/C++ syntax and debugging tools.
  • Experience with build systems and testing frameworks.

Responsabilidades

  • Review and audit annotator evaluations of AI-generated C/C++ code.
  • Ensure C/C++ code follows the prompt instructions and is functionally correct.
  • Provide constructive feedback to maintain high annotation standards.

Conhecimentos

C/C++ expertise
Memory management
Debugging skills
Knowledge of testing frameworks
Excellent written communication
Experience with structured QA workflows
English proficiency (B2-C2)

Ferramentas

Make
CMake
Descrição da oferta de emprego
10-min AI interview, project starts Jan 29, rare languages = higher placement rates
About the Company

G2i connects subject-matter experts, students, and professionals with flexible, remote AI training opportunities, including annotation, evaluation, fact-checking, and content review. We partner with leading AI teams, and all contributions are paid weekly once approved, ensuring consistent and reliable compensation.

About the Role

We're hiring a Code Reviewer with deep C/C++ expertise to review evaluations completed by data annotators assessing AI-generated C/C++ code responses. Your role is to ensure that annotators follow strict quality guidelines related to instruction-following, factual correctness, and code functionality.

Responsibilities
  • Review and audit annotator evaluations of AI-generated C/C++ code.

  • Assess if the C/C++ code follows the prompt instructions, is functionally correct, and secure.

  • Validate code snippets using proof-of-work methodology.

  • Identify inaccuracies in annotator ratings or explanations.

  • Provide constructive feedback to maintain high annotation standards.

  • Work within Project Atlas guidelines for evaluation integrity and consistency.

Required Qualifications
  • 5–7+ years of experience in C/C++ development, QA, or code review.

  • Strong knowledge of C/C++ syntax, memory management, debugging, edge cases, and testing.

  • Experience with build systems (Make, CMake, etc.) and testing frameworks.

  • Comfortable using code execution environments and debugging tools.

  • Excellent written communication and documentation skills.

  • Experience working with structured QA or annotation workflows.

  • English proficiency at B2, C1, C2, or Native level.

Preferred Qualifications
  • Experience in AI training, LLM evaluation, or model alignment.

  • Familiarity with annotation platforms.

  • Exposure to RLHF (Reinforcement Learning from Human Feedback) pipelines.

  • Background in security-sensitive code review or vulnerability assessment.

Compensation

Hourly rates are personalized based on your experience level, educational background, location, and industry expertise. You'll see your specific rate in your contract offer before signing. Rates for technical roles can vary significantly based on these factors and can be re-evaluated for different projects based on your performance and experience.

Obtém a tua avaliação gratuita e confidencial do currículo.
ou arrasta um ficheiro em formato PDF, DOC, DOCX, ODT ou PAGES até 5 MB.