

ALOIS Solutions
Data Quality and AI Tooling Specialist
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Quality and AI Tooling Specialist, remote (USA, 4 hours overlap with PST), for 10 months at a competitive pay rate. Requires 3+ years of experience, Google Colab proficiency, and skills in Python, data quality, and AI.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
320
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🗓️ - Date
February 17, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
Remote
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
United States
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🧠 - Skills detailed
#Data Quality #Python #Datasets #AI (Artificial Intelligence)
Role description
Role: Data Quality and AI Tooling Specialist
Location: Remote (USA - 4 hours of overlap with PST)
Duration: 10 Months
Skills: 3+ years and Should have Google Colab exp.
Role Overview:
We are looking for a detail-oriented LLM Data Quality and Tooling Specialist to support the training of LLMs through high-quality data validation and lightweight tooling.
Key Responsibilities:
• Quality-check (QC) diverse generated samples, including simple Q&A pairs, rubric-based datasets, evaluations, and agentic data, across both STEM and humanities domains.
• Create clear and practical guidelines to help internal teams QC their own samples effectively.
• Perform hands-on QC work and design/develop simple Python-based tools (primarily using Google Colab) to help internal domain experts efficiently review and validate samples.
• Bring strong analytical skills, clear and professional communication, and the ability to translate QC requirements into practical, easy-to-use workflows and utilities.
Perks of working:
• Work in a fully remote environment.
• Opportunity to work on cutting-edge AI projects with leading LLM companies.
• Potential for contract extension based on performance and project needs.
Role: Data Quality and AI Tooling Specialist
Location: Remote (USA - 4 hours of overlap with PST)
Duration: 10 Months
Skills: 3+ years and Should have Google Colab exp.
Role Overview:
We are looking for a detail-oriented LLM Data Quality and Tooling Specialist to support the training of LLMs through high-quality data validation and lightweight tooling.
Key Responsibilities:
• Quality-check (QC) diverse generated samples, including simple Q&A pairs, rubric-based datasets, evaluations, and agentic data, across both STEM and humanities domains.
• Create clear and practical guidelines to help internal teams QC their own samples effectively.
• Perform hands-on QC work and design/develop simple Python-based tools (primarily using Google Colab) to help internal domain experts efficiently review and validate samples.
• Bring strong analytical skills, clear and professional communication, and the ability to translate QC requirements into practical, easy-to-use workflows and utilities.
Perks of working:
• Work in a fully remote environment.
• Opportunity to work on cutting-edge AI projects with leading LLM companies.
• Potential for contract extension based on performance and project needs.






