Policy QA (México)

Policy QA (México)

20 oct
|
Thoth AI
|
México

20 oct

Thoth AI

México

Policy QA — Spanish (Spain & Mexico)

Project: UG Push Experience Policy Labeling

Business Line: ADSO – ECO

Markets: Spain (ES) and Mexico (MX)

Employment Type: Remote Freelancer

Project Duration: 3 months

Working Schedule: 6–8 hours per day, 7 days a week, with a rotating schedule

Open Positions: 2

About the Project

We are seeking detail-oriented Spanish-speaking freelancers to join the UG Push Experience Policy Labeling project as Policy Quality Assurance (QA) specialists.

The selected candidates will be responsible for reviewing annotated datasets, assessing labeling accuracy, identifying errors, and ensuring compliance with project-specific policies and guidelines. This role is essential to maintaining consistent quality and reliable labeling outcomes throughout the project.

Key Responsibilities

- Perform quality checks on annotated datasets to verify accuracy and consistency.
- Audit labeling results and identify errors, inconsistencies, and deviations from established guidelines.
- Evaluate annotation decisions against project policies and documented requirements.
- Track quality issues, monitor error patterns, and support the analysis of recurring mistakes.
- Provide clear, actionable feedback to labelers to improve annotation quality.
- Ensure consistent interpretation and application of labeling rules across tasks.
- Escalate ambiguous cases, policy discrepancies, and recurring quality concerns to the appropriate project stakeholders.
- Maintain quality records and communicate findings according to project procedures.
- Participate in training, calibration sessions, and guideline updates as required.
- Support continuous improvement by identifying opportunities to strengthen labeling consistency and operational quality.

Requirements
- Native-level Spanish proficiency,



with fluency in Spanish as used in Spain or Mexico.
- Standard professional English proficiency to understand policy documentation, quality standards, and project instructions.
- Excellent attention to detail and strong analytical skills.
- Ability to identify inconsistencies and apply evaluation criteria objectively.
- Strong written communication skills for documenting errors and providing feedback.
- Ability to work independently and manage priorities in a remote environment.
- Availability to work 6–8 hours per day, including weekends, according to a rotating schedule.
- Reliable internet connection and access to a suitable computer.
- Willingness to complete project training and follow established QA procedures.

Previous experience in data annotation, content or policy evaluation, quality assurance, auditing, or guideline-based review is an advantage.

Training

Training will be provided through a TTL (Train-the-Trainer/Training Team Lead) model. Selected candidates must complete the required training and become familiar with the project's quality standards and evaluation procedures before performing live QA tasks.

Contract Duration and Compensation

- Duration: 3 months.
- Compensation: QA rate — 6 during training and 6.5 during live operations, subject to confirmation of the applicable currency and payment unit.
- Payment Frequency: Monthly.
- Work Arrangement: Remote freelance engagement.

Application Process Interested candidates may submit their CV for review. Shortlisted profiles will be shared directly with the Project Manager for evaluation. A formal interview process is not strictly required.

Please note that this is a temporary freelance opportunity requiring schedule flexibility, including availability seven days a week on a rotating basis.

📌 Policy QA (México)
🏢 Thoth AI
📍 México

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