Freelance Graphic Designer - AI Training

📍 Job Overview

Job Title: Freelance Graphic Designer - AI Training

Company: HumanSignal

Location: Bogotá, Colombia (Remote)

Job Type: Contract

Category: Operations - Data Annotation & AI Training

Date Posted: 2026-11-05T13:40:00

Experience Level: 2-5 Years

Remote Status: Fully Remote

🚀 Role Summary

• This is a project-based freelance opportunity focused on contributing to the advancement of AI models through high-quality design data annotation.

• The role involves critically evaluating and editing design samples to train AI systems on aesthetic principles and design effectiveness.

• It requires meticulous attention to detail and the ability to consistently apply complex rubrics to large volumes of design assets.

• Successful candidates will leverage their graphic design expertise to identify and rectify design flaws, ensuring data integrity for AI model training.

📝 Enhancement Note: While the title is "Graphic Designer," the core function is data annotation and quality assurance for AI training, specifically within the visual design domain. This role is crucial for building robust AI systems that understand and can generate effective design.

📈 Primary Responsibilities

• Critically rate design samples based on established rubrics, focusing on typography, visual hierarchy, overall design execution, color theory, layout principles, and general polish.

• Identify specific design flaws within provided samples, ranging from minor adjustments like font size inconsistencies to significant issues requiring substantial redesign.

• Edit flawed design slides using other provided slides within the same design project as reference, ensuring cohesion and a unified visual narrative across the entire set.

• Adhere strictly to detailed guidelines and rubrics to maintain high levels of rating consistency and accuracy across a high volume of design assets.

• Provide constructive feedback or corrections on design elements to enhance the quality and utility of the training data for AI model development.

📝 Enhancement Note: The emphasis on "editing flawed slides" and "building more cohesion" indicates a hands-on quality assurance and minor correction role, rather than pure content creation. This requires not just an eye for design but also an understanding of how to implement corrections efficiently within defined parameters.

🎓 Skills & Qualifications

Education:

• Formal education in design or arts, such as a degree or professional certificate. Experience:

• A minimum of 2 years of professional experience as a graphic designer, illustrator, SMM specialist, or marketing professional. Required Skills:

• English Proficiency: B2 (Upper-Intermediate) level or higher, essential for understanding project guidelines and communicating effectively.

• Design Principles: Strong, demonstrable understanding of composition, color theory, typography, visual hierarchy, and overall design effectiveness.

• Attention to Detail: Exceptional ability to meticulously review and identify flaws in visual assets, maintaining focus during repetitive tasks.

• Rubric Adherence: Capacity to follow detailed instructions and rubrics consistently for accurate data annotation.

• Problem-Solving: Ability to diagnose design issues and propose or implement effective edits to improve design quality.

Preferred Skills:

• Design Software Proficiency: Experience with modern design tools such as Figma, Adobe Illustrator, or similar platforms.

• AI/Data Annotation Experience: Prior experience in data annotation, AI training, or a related field where quality assurance of digital assets is key.

📝 Enhancement Note: The "2+ years of experience" requirement combined with a "degree or certificate" suggests a need for foundational design knowledge coupled with practical application. The B2 English level indicates that while not native fluency, strong comprehension and communication are critical for task execution.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Design Samples: A portfolio showcasing a range of graphic design work that demonstrates proficiency in typography, layout, color theory, and visual hierarchy.

• Problem-Solving Case Studies: Examples of projects where design challenges were identified and effectively resolved, illustrating the ability to edit and improve existing designs.

• Process Documentation (Implied): While not explicitly stated, a strong portfolio will implicitly show the candidate's design process, highlighting attention to detail and adherence to project briefs.

• Tool Familiarity: If Figma or Adobe Illustrator are listed as preferred skills, showcasing work created with these tools would be beneficial.

Process Documentation:

• Rating Consistency: The ability to document and demonstrate how you maintain consistency in your ratings across multiple similar tasks is crucial.

• Editing Methodology: Be prepared to explain your process for identifying design flaws and implementing edits efficiently and effectively, referencing the provided guidelines.

• Quality Assurance: Showcase an understanding of quality assurance principles as applied to design assets, emphasizing accuracy and adherence to standards.

📝 Enhancement Note: For this role, the "portfolio" is less about creating new designs and more about demonstrating the analytical skills to evaluate and the practical skills to edit existing ones. Candidates should highlight projects where they improved or refined designs based on specific criteria.

💵 Compensation & Benefits

Salary Range:

• Estimated Earning Potential: Up to $12 USD per hour (equivalent), varying by country of residence due to regional pay rate adjustments.

• Payment Structure: Paid per accepted task, with weekly payouts.

Benefits:

• Flexibility: Work from anywhere with a laptop and stable internet connection.

• Schedule Control: Set your own working hours, allowing for integration with other commitments.

• Weekly Payouts: Reliable weekly payments for completed and accepted tasks.

• AI Impact: Opportunity to contribute directly to the development of AI technologies.

• Ongoing Projects: Access to a pipeline of future projects once validated on the platform.

Working Hours:

• Flexible Schedule: Work on your own schedule, with no fixed working hours required. The role is project-based and designed to accommodate individual availability.

• Estimated Weekly Hours: While not fixed, to achieve the equivalent of $12/hour, candidates would need to dedicate sufficient time to completing tasks efficiently. Assuming an average task completion time and pay rate, a commitment of approximately 10-20 hours per week might be typical to maximize earnings, though this is variable.

📝 Enhancement Note: The "up to $12 per hour" phrasing indicates a performance-based pay structure where efficiency and quality directly influence earnings. The regional variation suggests a tiered compensation model. The "40 hours" in the input data seems to be a default/maximum, not a requirement, given the freelance and flexible nature.

🎯 Team & Company Context

🏢 Company Culture

Industry: AI and Data Services, specifically focusing on human-in-the-loop data creation and annotation for AI model development.

Company Size: HumanSignal is a growing company, indicated by its focus on scaling AI data operations and its use of an open-source platform (Label Studio) with over 1 million practitioners.

Founded: HumanSignal is a relatively new entity or has recently rebranded, focusing on the operational complexity of real-world data for AI. The open-source platform, Label Studio, has been around longer, indicating a strong foundation in the data labeling space.

Team Structure:

• This role operates within a distributed, freelance workforce model, managed through HumanSignal's platform.

• You will be part of a large pool of global data annotators and quality raters, contributing to various AI training projects.

• Collaboration is primarily asynchronous and task-based, managed through the platform, with potential for interaction with project managers or quality leads for guidance. Methodology:

• Data-Centric AI: The company's core methodology revolves around providing high-quality, real-world data to train AI models effectively.

• Human-in-the-Loop: Emphasizes the critical role of human expertise in data creation, labeling, and evaluation to ensure AI accuracy and robustness.

• Platform-Driven Operations: Utilizes proprietary and open-source platforms (like Label Studio) to manage complex data pipelines and workflows efficiently.

Company Website: https://humansignal.com/

📝 Enhancement Note: HumanSignal positions itself as a "human data partner," highlighting the essential role of human intelligence in the AI development lifecycle. This graphic design role is a specific application of that principle, where human aesthetic judgment is translated into data for AI.

📈 Career & Growth Analysis

Operations Career Level: This is an entry-level to mid-level freelance role within the broader operations of AI development, specifically focused on data quality and annotation. It is suitable for individuals looking for flexible, project-based work that leverages existing design skills.

Reporting Structure: As a freelance contractor, you will report to project managers or quality leads who oversee specific AI training projects. Direct reporting lines are minimal; the focus is on task completion and adherence to guidelines.

Operations Impact: Your work directly impacts the quality and effectiveness of AI models. By providing accurate ratings and edits, you help train AI systems to understand and generate high-quality design, influencing the user experience of future AI-powered products.

Growth Opportunities:

• Skill Specialization: Develop expertise in AI data annotation and quality assurance, particularly within the design domain.

• Platform Mastery: Become proficient in using HumanSignal's platform and potentially other data labeling tools for various AI projects.

• Access to More Projects: Successful completion of initial projects can lead to access to more complex, higher-paying, or specialized annotation tasks.

• Industry Exposure: Gain insight into the operational side of AI development and contribute to cutting-edge technologies.

📝 Enhancement Note: While this is a freelance role, consistent high performance can lead to greater project opportunities within HumanSignal's ecosystem. It's a pathway to gain experience in the rapidly growing field of AI data services.

🌐 Work Environment

Office Type: Fully remote. This role requires no physical office presence.

Office Location(s): N/A (Fully Remote). However, the role is geographically accessible to individuals in Bogotá, Colombia, and potentially other regions, with pay rates adjusted accordingly.

Workspace Context:

• Remote Autonomy: Requires a self-disciplined individual who can work independently from their chosen location.

• Technology Dependent: Relies on a reliable laptop and a stable internet connection for access to the HumanSignal platform and task completion.

• Collaborative (Asynchronous): While not directly collaborating in real-time, you are part of a global community of annotators, contributing to a shared goal. Communication regarding tasks and guidelines is managed through the platform.

Work Schedule:

• Flexible: You have the freedom to choose when you work. This allows for balancing this freelance role with other jobs, studies, or personal commitments.

• Project-Based: Work is available on a project-by-project basis, with new projects launching regularly. The duration of individual projects is estimated at 3 weeks.

📝 Enhancement Note: The remote and flexible nature of this role makes it ideal for individuals seeking supplemental income or a way to utilize their design skills without the constraints of a traditional office or fixed schedule.

📄 Application & Portfolio Review Process

Interview Process:

• Application Submission: Initial step involves submitting your resume and portfolio.

• Platform Registration: If your initial application is successful, you will be invited to register on the HumanSignal platform.

• Identity Verification: Standard identity confirmation process.

• Skill Validation: This is a critical phase where your design assessment and editing skills will be tested, likely through a series of sample tasks.

• Project Onboarding: Once validated, you gain access to available projects.

Portfolio Review Tips:

• Highlight Design Evaluation: Showcase projects where you analyzed existing designs, identified weaknesses, and proposed or implemented improvements.

• Demonstrate Tool Proficiency: Include examples of work created using Figma, Adobe Illustrator, or similar tools, if applicable.

• Showcase Understanding of Principles: Ensure your portfolio clearly demonstrates your grasp of typography, visual hierarchy, color theory, and composition.

• Quantify Impact (If Possible): While difficult for freelance editing, any examples where your edits led to a measurable improvement in design effectiveness would be valuable.

• Clarity and Conciseness: Present your work clearly, with brief descriptions of the project, your role, and the design challenges addressed.

Challenge Preparation:

• Practice with Rubrics: Familiarize yourself with design rubrics and quality assessment frameworks. Understand how to apply them consistently.

• Sharpen Editing Skills: Practice making minor but impactful edits to existing designs quickly and efficiently.

• Review Design Fundamentals: Refresh your knowledge of typography, color theory, layout, and visual hierarchy.

• Understand AI Training Context: Be ready to articulate how your design evaluation and editing skills contribute to training AI models.

📝 Enhancement Note: The "skill validation" step is likely the most crucial part of the hiring process, acting as a practical assessment. A strong portfolio that clearly demonstrates the ability to evaluate and edit designs according to specific criteria will be key.

🛠 Tools & Technology Stack

Primary Tools:

• Design Software: Figma, Adobe Illustrator (preferred). Candidates should be comfortable using modern design tools for editing tasks.

• HumanSignal Platform: The primary interface for receiving tasks, submitting ratings and edits, and tracking payments.

• Communication Tools: Standard web browsers and potentially communication software integrated into the platform for task-specific instructions or queries.

Analytics & Reporting:

• Internal Platform Metrics: The HumanSignal platform will likely track task completion rates, accuracy scores, and earnings.

CRM & Automation:

• N/A: This role does not involve CRM or typical sales/marketing automation tools. The focus is on AI training data processing.

📝 Enhancement Note: While Figma and Adobe Illustrator are listed as preferred, the core requirement is the ability to evaluate and edit designs based on provided guidelines. Proficiency in any modern design tool that allows for such modifications would be acceptable, but specific experience with these industry-standard tools is a significant advantage.

👥 Team Culture & Values

Operations Values:

• Quality & Accuracy: A strong emphasis on delivering high-quality, accurate data annotations is paramount for effective AI training.

• Consistency: Adhering to rubrics and guidelines consistently is crucial for building reliable AI models.

• Efficiency: The ability to complete tasks accurately and at a reasonable pace is valued, especially in a project-based, paid-per-task model.

• Reliability: As a freelance contributor, being dependable in meeting task requirements and deadlines is important.

• Continuous Improvement: A willingness to learn and adapt to new guidelines, project types, and feedback is expected.

Collaboration Style:

• Asynchronous & Independent: Collaboration is primarily through task submission and adherence to guidelines. Direct interaction is minimal, focusing on task execution rather than team brainstorming.

• Feedback-Driven: Feedback on ratings and edits will be provided through the platform, serving as a mechanism for improvement and quality control.

• Community (Implied): While working independently, you are part of a global community of data annotators contributing to a larger mission.

📝 Enhancement Note: The culture values individuals who can work autonomously, meticulously follow instructions, and contribute to a collective effort in building AI through high-quality data. The "human data partner" ethos suggests valuing the expertise and judgment that humans bring to AI development.

⚡ Challenges & Growth Opportunities

Challenges:

• Repetitive Nature: The task of rating and editing large volumes of design samples can be repetitive, requiring sustained focus and motivation.

• Subjectivity in Design: Balancing objective rubric adherence with the inherently subjective nature of design can be challenging.

• Maintaining Consistency: Ensuring consistent rating and editing standards over time and across different projects requires diligence.

• Variable Workload: As a freelance role, the availability of projects and the resulting workload can fluctuate.

Learning & Development Opportunities:

• AI Data Annotation Expertise: Develop specialized skills in a high-demand area of AI development.

• Design Analysis Skills: Enhance your ability to critically analyze visual design elements and identify areas for improvement.

• Platform Proficiency: Become adept at using advanced data labeling and quality assurance platforms.

• Exposure to AI Trends: Gain insights into how AI is being developed and applied across various industries.

📝 Enhancement Note: This role offers a unique opportunity to apply graphic design skills in a novel context – training artificial intelligence. It's a chance to contribute to the future of AI while earning income flexibly.

💡 Interview Preparation

Strategy Questions:

• Design Evaluation: "How do you approach evaluating the effectiveness of a design? What key elements do you focus on?" (Prepare to discuss typography, hierarchy, color, composition, and overall impact).

• Rubric Application: "Describe a time you had to follow a strict set of guidelines for a creative task. How did you ensure compliance while maintaining quality?" (Focus on your process for understanding and applying rubrics).

• Problem-Solving: "Imagine you are given a set of slides where one slide's design is inconsistent with the others. What steps would you take to identify the issue and correct it?" (Demonstrate your analytical and editing process).

Company & Culture Questions:

• "What interests you about contributing to AI training through design annotation?" (Connect your design passion with the AI development mission).

• "How do you handle repetitive tasks while maintaining focus and accuracy?" (Highlight your attention to detail and self-discipline).

• "Why do you believe your design expertise is valuable for training AI models?" (Emphasize the role of human judgment in teaching AI aesthetic principles). Portfolio Presentation Strategy:

• Focus on Evaluation & Editing: Select portfolio pieces that highlight your ability to analyze designs, identify flaws, and implement improvements.

• Showcase Rubric Application: If possible, describe how you've worked to specific client briefs or design standards.

• Explain Your Process: Be ready to walk through your thought process for specific design critiques and edits.

• Demonstrate Tool Familiarity: Be prepared to discuss your experience with relevant design software.

📝 Enhancement Note: The "skill validation" phase is likely more practical than a traditional interview. However, understanding these types of questions will help you prepare for any introductory calls or assessments and frame your portfolio effectively.

📌 Application Steps

To apply for this freelance operations position:

• Submit your application through the provided link, ensuring your resume and portfolio are up-to-date and clearly showcase your design evaluation and editing capabilities.

• Portfolio Customization: Tailor your portfolio to highlight examples demonstrating your understanding of typography, visual hierarchy, color theory, and composition, as well as any experience in refining or correcting existing designs.

• Resume Optimization: Ensure your resume clearly lists your years of graphic design experience, relevant education (degree/certificate), and proficiency in English (B2+). Highlight any experience with Figma, Adobe Illustrator, or prior data annotation work.

• Platform Readiness: Be prepared for the subsequent steps of platform registration, identity verification, and skill validation, which will likely involve practical design assessment tasks.

• Company Research: Familiarize yourself with HumanSignal's mission, their role as a "human data partner," and their use of platforms like Label Studio to understand the context of your contribution to AI development.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and operations industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.

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