
Ativa os alertas de emprego por e-mail!
Cria um currículo personalizado em poucos minutos
Consegue uma entrevista e ganha mais. Sabe mais
A leading tech consultancy in Brazil is seeking a Code Reviewer proficient in C/C++ to review evaluations of AI-generated code. Candidates should have 5+ years of experience and a strong understanding of code quality standards. The role involves auditing annotations, ensuring compliance with functional instructions, and giving constructive feedback. English proficiency is required. The opportunity offers personalized hourly rates based on experience and expertise, promoting a flexible remote work environment.
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.
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.
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.
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.
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.
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.