Kotlin Engineer

SME Careers; Indonesia; Remote; IDR 110,208,000 - 220,416,000; Full time

Job summary

SME Careers is seeking a remote, hourly-paid Kotlin Engineer to review AI-generated responses and generate high-quality Kotlin-focused content. You will evaluate reasoning quality and step-by-step problem solving, assess for accuracy, clarity, and prompt adherence, and craft expert explanations and model solutions.

Responsibilities include developing detailed prompts, ranking AI responses to improve accuracy and fluency, and testing models for biases and reliability across use cases.

Qualifications

• 2+ years of hands-on Kotlin development experience.
• Strong understanding of Kotlin null safety, coroutines, and functional idioms.
• Professional software engineering experience using Kotlin for Android or backend services.
• Minimum Bachelor’s degree in Computer Science or a closely related field.

Responsibilities

• Develop AI Training Content: Create detailed prompts in various topics and responses to guide AI learning, ensuring the models reflect a comprehensive understanding of diverse subjects.
• Optimize AI Performance: Evaluate and rank AI responses to enhance the model's accuracy, fluency, and contextual relevance.
• Ensure Model Integrity: Test AI models for potential inaccuracies or biases, validating their reliability across use cases.

Skills

Kotlin development

Kotlin null safety

Coroutines

Functional idioms

Android/backend Kotlin

LLMs for coding

English writing

Problem solving

Education

Bachelor's degree in Computer Science

Tools

Ktor

Android Jetpack

Job description

As a remote, hourly paid Kotlin Engineer, you will review AI-generated responses and generate high-quality Kotlin-focused content, evaluating the reasoning quality and step-by-step problem-solving behind each solution. You will assess solutions for accuracy, clarity, and adherence to the prompt; identify errors in methodology or conceptual understanding; fact-check technical information; craft expert-level explanations and model solutions that demonstrate correct approaches; and rate and compare multiple AI responses based on correctness and reasoning quality. T his role is with SME Careers, a fast-growing AI Data Services company and subsidiary of SuperAnnotate that provides AI training data for many of the world’s largest AI companies and foundation model labs, helping to improve the world’s premier AI models.

Important

There is no immediate project for this role; however, if qualified, you will be among the first experts we reach out to when relevant opportunities arise. This will also provide you with access to future projects available through our expert network.

Key Responsibilities

• Develop AI Training Content: Create detailed prompts in various topics and responses to guide AI learning, ensuring the models reflect a comprehensive understanding of diverse subjects.
• Optimize AI Performance: Evaluate and rank AI responses to enhance the model's accuracy, fluency, and contextual relevance.
• Ensure Model Integrity: Test AI models for potential inaccuracies or biases, validating their reliability across use cases.

Your Profile

• 2+ years of hands-on Kotlin development experience.
• Strong understanding of Kotlin null safety, coroutines, and functional idioms.
• Professional software engineering experience using Kotlin for Android or backend services.
• Minimum Bachelor’s degree in Computer Science or a closely related field.
• Ability to critically evaluate idiomatic Kotlin style, design decisions, and architecture trade-offs.
• Significant experience using large language models (LLMs) to assist with coding, debugging, and code review.
• Excellent English writing skills with the ability to articulate complex technical concepts clearly.
• Highly preferred: Experience with Ktor, Android Jetpack, and advanced coroutine usage in production systems.
• Preferred: Merged pull requests in Kotlin open-source projects, competitive programming experience, or similar demonstration of strong problem-solving skills.
• Experience reviewing app logic or mobile/backend architecture, with previous AI data training or model evaluation work strongly preferred and Minimum C1 English proficiency.