Project Chiron – Spanish (Latin America) Quality Control Specialist

Remote from: Mexico, Argentina
Salary, yearly, USD: 80,000
Department: QA & Testing
Employment type: Full Time,
Job posted: 20 Jul 2026
Apply before: 20 Aug 2026
Views / Applies: 119 / 7

About company

About Welo Global

Smarter AI. Better Business.

Computer Software
2006

Actively Hiring

AI Summary

This is a remote, freelance Quality Control Specialist role for an AI data annotation project requiring native Spanish proficiency (Latin America). The specialist reviews trainer-submitted tasks—questions with images and golden answers—to ensure accuracy and consistency. Responsibilities include verifying answers, providing feedback, tracking errors, and escalating unclear cases. The position offers a flexible schedule of 10 hours per week with long-term potential, ideal for detail-oriented individuals.

Role DNA

Job Complexity

Easy Hard

Pace & Pressure

Relaxed Fast-paced

Autonomy Level

Guided Full Ownership

Communication Load

Independent Highly Collaborative

AI Insight The role requires strong attention to detail and consistent application of guidelines, but the tasks are repetitive and structured, making it moderately difficult.

Salary Analysis

AI Insight The offered salary of $80,000 per year is above the typical US market range for similar remote quality control roles, which usually falls between $45,000 and $75,000. This suggests a competitive compensation aligned with specialized language requirements.

Core Skills Required

Quality Control Spanish Data Annotation AI Training Remote Work Attention to Detail Feedback Guidelines Compliance Image Review Proofreading

Cover Letter Sample

Dear Hiring Team,

I am excited to apply for the Quality Control Specialist role for Project Chiron. With native Spanish proficiency and a strong background in quality assurance, I am confident in my ability to review AI training data with meticulous attention to detail. My experience in proofreading and data validation has honed my skills in identifying inconsistencies and providing clear feedback.

I understand the importance of maintaining high-quality standards for AI systems and am eager to contribute to your project. I am comfortable working independently while escalating issues appropriately, and I thrive in remote, flexible environments.

Thank you for considering my application. I look forward to the opportunity to support your team.

Sincerely,
[Your Name]

Sample Interview Questions

Can you describe a time you identified a subtle error in a dataset? How did you handle it?

In a previous data review role, I noticed that some images had mismatched labels due to a batch processing error. I documented the issue, flagged it to the team lead, and proposed a re-review process to catch similar mistakes. This improved overall data accuracy by 10%.

How do you ensure consistency when applying quality guidelines across many tasks?

I create a mental checklist or quick reference based on the guidelines and refer back to it frequently. For ambiguous cases, I note them and discuss with the team to establish a precedent, ensuring uniform application.

Describe your approach to providing constructive feedback to a colleague whose work has errors.

I focus on being specific and objective, pointing out the exact issue and why it's incorrect. I also offer suggestions for improvement and encourage questions to prevent recurrence. For example, 'The golden answer for image 123 is incorrect because... Here's the correct interpretation based on the guidelines.'

What strategies do you use to maintain focus during repetitive quality checks?

I take short breaks after every hour and vary my focus by switching between different types of reviews. I also listen to background music to stay alert, and I double-check my own work periodically to catch any fatigue-related errors.

How do you handle a situation where a task's instructions or expected output is unclear?

I first try to re-read the guidelines carefully. If still unclear, I escalate the case to the project team with specific questions, such as 'The image is blurry—should we accept an approximate answer or reject?' This ensures I don't make assumptions.

About the Role

We are looking for detail-oriented Quality Control (QC) Specialist to support an AI data annotation project. In this role, you will review the work submitted by Trainers — pre-seeded questions paired with images and their corresponding “golden” answers — to confirm accuracy, consistency, and adherence to project guidelines.

This is a task-based, remote-friendly opportunity ideal for individuals who are highly meticulous, observant, and skilled at spotting errors or inconsistencies that others may miss.

What You’ll Do

Review completed tasks submitted by Trainers, including the original question, the image, and the golden answer provided

Independently verify whether the golden answer is correct based on the image

Identify and flag incorrect, incomplete, ambiguous, or inconsistent answers

Provide clear, constructive feedback or corrections to help maintain overall data quality

Track recurring error patterns and report them to the project team

Ensure Trainer output meets the project’s quality bar before final sign-off

Escalate unclear cases (e.g., illegible images, ambiguous questions) to the project team for resolution

What We’re Looking For

Native/Strong proficiency at Spanish

Bachelor’s degree required

Excellent attention to detail and a strong quality mindset

Good visual observation and reading comprehension skills

Ability to apply guidelines/rubrics consistently and objectively

Strong written English communication skills, especially for giving feedback

Prior experience in quality assurance, quality control, editing, proofreading, or data review is a plus

Reliable access to a computer and internet connection

Work Format & Compensation

Work Type: freelance, remote

Hours/Schedule: 10 hours per week

Compensation: $39.6/hr

Duration: Long-term

Why Join Welo Data?

✨ Limitless Flexibility

Project-based opportunities that fit your availability. Choose when and how much you want to contribute—fully remote, with complete autonomy.

🌱 Limitless Growth

Optional access to AI and Large Language Model workshops designed specifically for professionals like you. No coding required—just your expertise.

🌍 Limitless Support

Be part of a global contributor community with responsive guidance and support.

💡 Real Impact

Apply your expertise in the Legal field to influence the AI systems shaping the future of your industry—while collaborating with data professionals and expanding your skills.

How to Apply?

Apply now by answering a few quick questions to join our database and become part of our growing community.

About Welo Data

Welo Data, part of Welocalize, is a global AI data company with 500,000+ contributors delivering high-quality, ethical data to train the world’s most advanced AI systems. We’re building smarter, more human AI with a diverse community in 100+ countries.

At Welo Data, Limitless AI. Limitless You. isn’t just a slogan—it’s our promise. We build smarter AI through the power of human contribution, offering limitless opportunities for our global community to grow, contribute, and work on their terms.

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