LLM Data Quality & Tooling Specialist
Keystone Recruitment
Job Overview
Who's the hiring manager?
Sign up to PitchMeAI to discover the hiring manager's details for this job. We will also write them an intro email for you.

Job Description
Role Overview: LLM Data Quality & Tooling Specialist
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
Key skills/competency
- LLM Data Quality
- Tooling Development
- Python Scripting
- Google Colab
- Data Validation
- Quality Assurance
- Analytical Thinking
- Content Review
- Process Improvement
- Cross-functional Communication
How to Get Hired at Keystone Recruitment
- Research Keystone Recruitment's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor.
- Tailor your resume for LLM Data Quality: Highlight Python scripting, data validation, and AI quality assurance experience.
- Showcase relevant projects: Provide examples of lightweight tooling or data quality improvements you've led.
- Prepare for technical and behavioral interviews: Focus on problem-solving, attention to detail, and communication skills.
- Demonstrate PST overlap readiness: Confirm your ability to align with required Pacific Standard Time working hours.
Frequently Asked Questions
Find answers to common questions about this job opportunity
Explore similar opportunities that match your background