Large Language Model (LLM) training, fine-tuning, and evaluation
using high-quality proprietary data.
Key Responsibilities
Design and generate high-quality prompts, responses, and Kotlin/Android code solutions for LLM training and evaluation.
Create, review, and refine
Supervised Fine-Tuning (SFT)
datasets with strong technical accuracy and logical clarity.
Perform
RLHF evaluations
by comparing multiple LLM outputs, ranking responses, and providing structured feedback with clear reasoning.
Develop evaluation strategies and benchmarks to assess model quality, alignment, and correctness.
Produce clear explanations and rationales to support evaluation outcomes.
Ensure outputs follow best practices in modular design, scalability, readability, security, and testing.
Collaborate with cross-functional stakeholders to continuously improve dataset quality and model alignment.
Required Skills and Expertise
Strong hands-on experience in
Kotlin and Android development
Solid understanding of
Android architecture and clean code principles
Ability to write
high-quality, secure, and maintainable code
Excellent technical reasoning and documentation skills
Experience evaluating or reviewing
AI-generated code
is a plus
Strong
English communication skills
, both written and verbal
What We're Looking For
High attention to detail and technical accuracy
Strong analytical and problem-solving skills
Interest in
AI, LLMs, and advanced software development
Job Type: Full-time
Pay: ?20,000.00 - ?70,000.00 per month
Experience:
Kotlin: 2 years (Preferred)
Work Location: Remote
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