Entry-Level Data Entry Specialist – AI Training & Quality Assurance – Zapopan, Mexico – Remote Flexibility

About brighthush

brighthush is not just another player in the AI space – we are building the world’s largest pool of high‑quality human data. With a global network of over 35,000 AI developers, researchers, and organizations, brighthush empowers the next generation of intelligent systems by providing richly annotated, ethically sourced data from real people. Our mission is to bridge the gap between human insight and machine learning, ensuring that AI models are not only powerful but also fair, transparent, and aligned with human values.

Why Join brighthush?

At brighthush, we believe that the future of AI depends on the diversity of human perspectives. By joining our team, you’ll play a pivotal role in shaping the data that fuels cutting‑edge AI models. Whether you’re a recent graduate eager to dive into the tech industry or a seasoned professional looking for a fresh challenge, brighthush offers:

• Competitive pay rates that reflect the value of your expertise.
• Flexible, remote‑friendly work arrangements that let you balance life and career.
• Opportunities to collaborate with leading researchers and developers worldwide.
• Continuous learning and professional development through internal training, workshops, and industry conferences.
• A culture that celebrates curiosity, precision, and the relentless pursuit of excellence.

Role Overview

We are seeking meticulous, data‑savvy individuals to join our Expert Network as Data Entry Specialists. In this role, you will train and evaluate AI models by reviewing, annotating, and refining real‑world data. Your work will directly influence the accuracy, fairness, and robustness of AI systems that power products used by millions.

Key Responsibilities

• Evaluate AI‑Generated Data: Scrutinize AI‑produced entries, ensuring they meet stringent accuracy, completeness, and formatting standards.
• Simulate Real‑World Scenarios: Create realistic data entry challenges, including edge cases and ambiguous inputs, to test AI resilience.
• Audit and Flag Errors: Identify misclassifications, labeling mistakes, and field mapping issues, and document findings against our quality rubrics.
• Annotate & Label: Tag data samples with precise labels that guide AI learning, focusing on structure, validation rules, and logical consistency.
• Quality Assurance: Compare AI outputs against established benchmarks, ensuring they meet professional accuracy thresholds.
• Collaborate with Researchers: Provide feedback on model performance, suggest improvements, and help refine training datasets.
• Maintain Documentation: Update internal knowledge bases (Confluence, Notion) with best practices, guidelines, and new data standards.

Essential Qualifications

• Recent graduation (or equivalent experience) in Data Science, Computer Science, Information Systems, or a related field.
• Proven experience in high‑volume data entry, database management, or records administration.
• Typing speed of at least 60 words per minute with a high level of accuracy.
• Strong analytical mindset with a keen eye for inconsistencies, duplicates, and formatting errors.
• Familiarity with data formats (CSV, JSON, XML) and validation rules.
• Excellent written English skills for assessing clarity and correctness in AI‑generated text.
• Multilingual proficiency is a significant plus, especially for evaluating localized datasets.
• Access to a reliable internet connection, a computer with a modern operating system, and a PayPal account for receiving payments.

Preferred Qualifications

• Experience with Microsoft Excel, Google Sheets, Airtable, SQL, or Access.
• Background in CRM, ERP, or document management systems.
• Familiarity with Confluence, Notion, or similar collaboration tools.
• Prior exposure to AI or machine learning projects, especially in data annotation or quality assurance.
• Knowledge of data privacy regulations (GDPR, CCPA) and ethical data handling practices.

Skills & Competencies

• Attention to Detail: Ability to spot subtle errors in large datasets.
• Problem‑Solving: Quickly identify root causes of data anomalies and propose effective solutions.
• Communication: Clear written communication for documenting findings and collaborating with cross‑functional teams.
• Adaptability: Thrive in a fast‑moving environment where priorities and datasets evolve rapidly.
• Time Management: Deliver high‑quality work within tight deadlines, often requiring one hour of uninterrupted focus.
• Team Player: Work collaboratively with researchers, data scientists, and product managers.

Career Growth & Learning Opportunities

At brighthush, your career trajectory is as dynamic as the AI landscape. As you master data annotation and quality assurance, you’ll open doors to:

• Senior Data Annotation Lead – overseeing large teams and complex projects.
• Data Quality Manager – shaping data governance frameworks across the organization.
• AI Research Assistant – contributing to cutting‑edge research papers and product innovations.
• Product Management – leveraging data insights to drive product strategy and roadmap decisions.

We invest in your growth through:

• Monthly skill‑building workshops on advanced Excel, SQL, and data visualization.
• Access to industry conferences and webinars.
• Mentorship programs pairing you with senior data scientists and product managers.
• Internal hackathons and innovation challenges that reward creative problem‑solving.

Work Environment & Company Culture

brighthush thrives on a culture of curiosity, precision, and inclusivity. Our remote‑first model means you can work from anywhere in Zapopan, Mexico, while staying connected through:

• Weekly virtual stand‑ups and cross‑team syncs.
• Open‑door communication channels via Slack and Teams.
• Annual virtual retreats and quarterly in‑person meet‑ups.
• Employee resource groups focused on diversity, equity, and inclusion.

We celebrate every milestone, from the first data entry to the launch of a new AI model, with recognition programs, spot bonuses, and public shout‑outs.

Compensation & Perks

While specific rates may vary based on experience and task complexity, brighthush offers:

• Competitive hourly rates, often up to $25 per hour for high‑skill tasks.
• Flexible scheduling – choose when you work, as long as you meet the required hours.
• Performance‑based bonuses for exceptional accuracy and speed.
• Health and wellness stipend to support your physical and mental well‑being.
• Paid time off and a generous holiday calendar.
• Access to a company‑wide learning platform with courses on data science, AI ethics, and more.

How to Apply

Ready to shape the future of AI with brighthush? Submit your application through our streamlined portal. We’ll review your profile, invite you to a brief 10‑ to 15‑minute assessment, and if you pass, you’ll join our Expert Network as a valued participant.

Click here to start your journey or copy and paste the link into your browser.

Join brighthush – Where Human Insight Meets Machine Intelligence

At brighthush, every data point you review, every annotation you create, and every error you flag brings us one step closer to building AI that truly understands and respects human diversity. If you’re passionate about data quality, eager to learn, and ready to make a tangible impact, we want to hear from you.

Apply today and become a cornerstone of the next wave of AI innovation.