Alignerr
Freelance / Remote (Indonesia)Current Role
Worked on AI model improvement projects involving data labeling, prompt optimization, and automation of dataset workflows. Contributed to stronger model accuracy through high-quality data preparation and prompt testing.
Associated Projects
These projects are linked from the project workbook's Associated With column.
Curated and evaluated multi-step agentic AI execution traces used for large language model training, benchmarking, and autonomous agent evaluation.
+7Validated aviation speech datasets by producing FAA-compliant transcripts for air traffic control communications, supporting speech recognition and language model training.
Designed and validated agentic AI evaluation scenarios by reviewing task specifications, execution traces, evaluator logic, and scoring rubrics to improve benchmark reliability for autonomous AI systems.
Developed production-like frontend engineering benchmarks used to evaluate large language models on realistic web development tasks and software engineering workflows.
+9Role Detail
Responsibilities pulled from the professional experience workbook and tightened into recruiter-readable evidence.
Reviewed and labeled AI-generated code outputs against task requirements.
Evaluated code functionality, logic, completeness, and test-case behavior across programming tasks.
Maintained labeling accuracy and consistency through careful analysis and project guideline adherence.
Provided feedback on common error patterns in AI code generation.
Identified ambiguous instructions, edge cases, and mislabeled examples to improve datasets.
Helped refine prompt structures for better model understanding of programming tasks.
