Rafik K.

Key Skills

Software

Don't disclose

Top Subject Matter

Software engineering

code generation

system design

Top Data Types

Text

Document

Top Task Types

Diagnosis

Freelancer Overview

Software Engineering AI Trainer (Contract/Remote) — Designed and evaluated AI training tasks for software engineering co. Brings 2+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include Internal, Proprietary Tooling, and Don't disclose. Education includes Bachelor of Arts, Boston University (2027) and Bachelor of Science, University of Massachusetts Amherst (2023). AI-training focus includes data types such as Computer Code, Programming, and Text and labeling workflows including Evaluation, Rating, and Diagnosis.

Labeling Experience

Software Engineering AI Trainer (Contract/Remote) — Designed and evaluated AI training tasks for software engineering code and system-design scenarios.

You designed and evaluated software engineering tasks for AI model training by reviewing generated code for quality and requirement adherence. You assessed outputs for correctness, maintainability, clarity, and alignment with technical requirements. You reviewed AI outputs across coding and system-design scenarios, flagging flawed logic and incomplete implementations. • Task design for model training • Code correctness and quality evaluation • Maintainability/clarity/requirements compliance checks • Error analysis across multiple scenarios

2026 - Present

AI Product Engineering Intern — QA and prompt optimization for an AI medical scribe.

Don't discloseTextDiagnosis

You diagnosed and documented usability issues in an AI medical scribe product using rigorous QA testing across staging and test environments. You drove remediation by producing detailed reports that led to bug fixes and measurable reliability improvements. You tested and optimized AI prompts with product and engineering teams to improve accuracy, reliability, and contextual relevance in clinical note generation. • QA testing across staging and test environments • Issue documentation and root-cause identification • Prompt testing to improve clinical note generation • Contribution to bug fixes and reliability improvement

2025 - 2025

Education

Work History