- Title: LLM Data Quality (Remote)
- Engagement: Hourly contract (independent contractor)
- Location: Remote
Role Overview
A global AI-focused organization is seeking an LLM Data Quality & Tooling Specialist to support large language model training initiatives through structured data validation and lightweight tooling development. This role blends hands-on quality control with practical tool-building to improve dataset reliability, clarity, and evaluation standards across STEM and humanities domains.
You will work closely with internal experts and AI teams to ensure training data meets rigorous quality standards while building simple, effective workflows to scale review processes.
Key Responsibilities
- Perform quality checks (QC) on generated datasets including Q&A pairs, rubric-based datasets, evaluation samples, and agentic workflows
- Review content across both STEM and humanities domains for logical consistency, accuracy, clarity, and completeness
- Develop clear, actionable QC guidelines to help domain experts independently review their samples
- Design and build lightweight Python-based utilities (primarily in Google Colab) to streamline validation workflows
- Translate quality requirements into structured review checklists, scripts, and semi-automated tools
- Identify recurring data issues and recommend process improvements
- Communicate findings clearly and professionally to cross-functional stakeholders
Required Qualifications
- Strong analytical thinking and attention to detail
- Experience performing structured content validation or quality assurance
- Proficiency in Python (especially for lightweight scripting and automation)
- Comfortable working in Google Colab or similar notebook environments
- Ability to convert ambiguous QC requirements into practical workflows and tools
- Excellent written communication skills
- Ability to work full-time with required PST overlap
Engagement Details
- Contractor assignment (no medical/paid leave)
- Full-time commitment with 4 hours of overlap with PST
- Duration: 10 months
- Fully remote
- Potential for contract extension based on performance
Evaluation Process
- Job interest form
- Interview
- Selection and onboarding
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