Highbrow Technology Inc
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 with a contract length of "unknown," offering a pay rate of "unknown." Requires 3+ years of experience, proficiency in Python, and strong analytical skills. Minimum commitment of 30 hours per week with 4 hours overlap with PST.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
February 11, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Unknown
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
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📍 - Location detailed
United States
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🧠 - Skills detailed
#AI (Artificial Intelligence) #Datasets #Python #Data Quality
Role description
Job Title: Data Quality and AI Tooling Specialist
Role Overview:
Minimum 3+ Years of Expereince
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.
Commitments Required:
• At least 4 hours per day and minimum 30 hours per week with 4 hours of overlap with PST. (We have 2 options of time commitment: 30 hrs/week or 40 hrs/week)
Job Title: Data Quality and AI Tooling Specialist
Role Overview:
Minimum 3+ Years of Expereince
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.
Commitments Required:
• At least 4 hours per day and minimum 30 hours per week with 4 hours of overlap with PST. (We have 2 options of time commitment: 30 hrs/week or 40 hrs/week)
