Join OpenTrain AI to evaluate and improve AI-generated Kotlin code and explanations. Work remotely as a contractor writing expert corrections, model solutions, and high-quality feedback to shape LLM coding behavior.
Generative AI & RLHF
Remote Hourly · $55/hr
$55/hr
Compensation
17 countries
Eligibility
Intermediate
Experience
Jul 9, 2026
Posted
Open to applicants in
Bangladesh Bhutan Brazil Cambodia Germany India Indonesia Malaysia Nepal Pakistan Singapore Sri Lanka Thailand Philippines United States Timor-Leste Vietnam
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OpenTrain is the #1 platform for people who build careers in AI training and data labeling. We help contributors find projects, consolidate opportunities, and build a unified portfolio that demonstrates their AI training experience.
OpenTrain AI is the hiring and contracting organization for this role. We focus on creating flexible, remote work that helps contributors grow toward durable freelance careers in the fast-growing AI training industry.
About AI training work
AI training (data labeling, annotation, and human feedback) is the human side of teaching AI systems how to code and reason. Contributors review model outputs, create correct answers, rate responses, and write explanations that improve model behavior.
These projects are often remote, flexible, and accessible: many roles need domain knowledge, attention to detail, or language fluency rather than formal AI research backgrounds.
The role
OpenTrain AI is hiring Kotlin AI Response Evaluators to review AI-generated Kotlin answers, judge correctness and reasoning quality, and produce expert-level explanations and model solutions. This is remote contractor work for experienced Kotlin developers who can assess idiomatic style, architecture trade-offs, and correctness.
Commitment: 20+ hours/week
Employment types: Contractor, Part-time
Language: English required
Locations: Open to applicants in VN, TL, TH, SG, PK, PH, NP, MY, LK, KH, ID, BT, BD, IN, BR, DE, US (not worldwide)
What you'll do
Review AI-generated Kotlin responses for correctness, clarity, and adherence to the prompt
Write expert Kotlin explanations and model solutions that demonstrate correct approaches
Fact-check technical claims and identify errors in methodology or conceptual understanding
Rate and compare multiple AI responses by accuracy, clarity, and problem-solving quality
Create prompts and responses designed to improve AI learning across Kotlin and software engineering topics
Test models for inaccuracies, bias, and reliability across Kotlin use cases
Requirements
Minimum 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
Bachelor’s degree in Computer Science or a closely related field
Ability to evaluate idiomatic Kotlin style, design decisions, and architecture trade-offs
Excellent English writing skills and experience using LLMs for coding, debugging, or code review
Helpful background
Experience with Ktor, Android Jetpack, or advanced coroutine usage in production systems
Merged pull requests in Kotlin open-source projects or competitive programming experience
Previous AI data training, model evaluation, or app-logic review experience
Compensation & logistics
Hourly pay up to $55 (PAY_PER_HOUR; rate: $55/hr). This is contractor, part-time, remote work.
Openings are available across the listed countries. You must be able to work in English and commit to 20+ hours per week.
How it works / next steps
Apply through OpenTrain to be considered for this contractor role. If selected, you'll complete project-specific onboarding and calibration tasks that show how to score and write explanations for Kotlin outputs.
Once onboarded you'll receive micro-tasks or batches to evaluate, produce solutions, and submit ratings and written feedback. Your work directly improves model performance on Kotlin and software-engineering prompts.
Onboarding typically includes training examples and qualification checks
Payment is hourly; hours and workload are flexible within the 20+ hours/week expectation
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