Outlier
Freelance / Remote (Indonesia)Completed Role
Contributed to LLM training and evaluation projects focused on coding, reasoning, RLHF-style review, response ranking, prompt refinement, and agentic AI validation.
Associated Projects
These projects are linked from the project workbook's Associated With column.
Evaluated AI-generated software engineering solutions through production-style development workflows, code reviews, and human preference evaluation to improve large language model coding capabilities.
+6Evaluated large language model reasoning, instruction following, and multi-step problem-solving through structured evaluation workflows to improve model alignment and benchmark quality.
+1Designed, executed, and evaluated complex multi-stage agentic AI tasks in OpenClaw to benchmark LLM planning, tool orchestration, reasoning, safety, and artifact generation for reinforcement learning datasets.
+17Role Detail
Responsibilities pulled from the professional experience workbook and tightened into recruiter-readable evidence.
Evaluated and ranked AI-generated coding responses for correctness, logic, efficiency, and instruction following.
Reviewed outputs across Python, JavaScript, PHP, Java, and Golang.
Performed response validation, bug identification, and edge-case analysis to improve model reliability.
Contributed to Claude AI training and OpenClaw evaluation workflows.
Verified test cases and dataset consistency for model training quality.
Worked on agentic AI and function-calling evaluation tasks with emphasis on workflow accuracy.
