Code Reviewer for LLM Data Training (Kotlin)
SuperAnnotate
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We are looking for a Code Reviewer with expertise in Kotlin to join our AI training QA team. You will be responsible for auditing annotator evaluations of AI-generated responses written in Kotlin. Your role will be to ensure technical correctness, instruction adherence, proof-of-work validation, and consistent application of evaluation rubrics.
Responsibilities
- Audit annotator evaluations of AI-generated Kotlin responses
- Verify if responses follow prompt requirements regarding Kotlin syntax, null safety, and idiomatic structure.
- Evaluate Kotlin code for correctness, performance, security, and readability
- Run and validate proof-of-work code submitted by annotators to confirm functionality
- Review annotator-submitted Loom videos to assess evaluation and testing accuracy
- Ensure responses align with instruction-following expectations including style, tone, and clarity
- Identify and document errors, omissions, or rating inconsistencies
- Provide clear, constructive QA feedback based on rubric and guideline criteria
- Collaborate with internal teams for clarifications on complex or ambiguous items
Required Qualifications
- 5–7+ years of experience in Kotlin development, QA, or code review
- Strong understanding of core Kotlin concepts and development best practices
- Experience with debugging, testing tools, and code execution environments
- Strong analytical and critical thinking skills
- Excellent written communication for documenting evaluations and feedback
- English proficiency at B2, C1, C2, or Native level
Preferred Qualifications
- Experience with AI/LLM workflows, human-in-the-loop QA, or model evaluation
- Familiarity with structured code evaluation processes and rubrics
- Experience using QA/annotation platforms such as SuperAnnotate
Why Join Us
Join a forward-thinking team shaping how AI learns to understand and write Kotlin code. Your expertise will directly influence the quality, reliability, and instructional value of AI-generated content. This is a fully remote role offering flexible hours, milestone-based structure, and competitive compensation.
This job is no longer accepting applications
See open jobs at SuperAnnotate.See open jobs similar to "Code Reviewer for LLM Data Training (Kotlin)" Base10.