Graphic Designer — AI Training Project (Remote, Flexible, Up to $25/hr)

📍 Job Overview

Job Title: Graphic Designer — AI Training Project

Company: HumanSignal

Location: International Falls, Minnesota, United States (Remote)

Job Type: Contractor

Category: Operations - Data Operations / AI Training

Date Posted: 2026-08-27

Experience Level: Mid-Level (2-5 years)

Remote Status: Fully Remote

🚀 Role Summary

• This role focuses on contributing to the development of AI models by providing expert graphic design evaluations and refinements, acting as a critical data source for machine learning algorithms.

• You will leverage your professional design expertise to assess and improve visual assets, ensuring AI systems learn to recognize and apply design principles accurately.

• The position offers flexible, remote work with a focus on a steady volume of tasks, suitable for individuals seeking project-based work over the next several weeks.

• As a Graphic Designer on this AI Training Project, you will directly influence the quality and capabilities of AI systems designed to understand and evaluate visual design.

📝 Enhancement Note: While the job title is "Graphic Designer," the context of "AI Training Project" and "Data Annotation" strongly suggests this role falls under a broader "Data Operations" or "AI Training Data" category within the operations spectrum. The emphasis on evaluating and refining designs for AI consumption positions it as a specialized data operations function.

📈 Primary Responsibilities

• Evaluate professional design layouts across key dimensions including typography, visual hierarchy, color theory, composition, and overall polish.

• Identify and articulate design shortcomings, ranging from subtle aesthetic issues to more significant structural or conceptual flaws.

• Utilize a browser-based editor to apply design corrections and bring suboptimal work up to a defined professional standard.

• Maintain consistent quality and judgment while processing a steady volume of design assets, adhering strictly to established guidelines.

• Collaborate with the project team by flagging edge cases, ambiguous examples, and areas where guidelines may require clarification or refinement.

• Contribute to the iterative improvement of AI training data by providing precise, actionable feedback on design quality.

• Ensure timely completion of assigned tasks within the projected 2–6 week timeframe, meeting minimum weekly hour commitments.

📝 Enhancement Note: The responsibilities are framed around data quality and refinement for AI training, which is a core function within specialized data operations. The emphasis on consistency, adherence to guidelines, and feedback loops is typical of data annotation and quality assurance roles.

🎓 Skills & Qualifications

Education:

• Formal design training (degree, certificate, or bootcamp) OR 3+ years of professional graphic design experience.

• Preferred: Bachelor's degree in Graphic Design, Fine Arts, or a related field. Experience:

• 2-5 years of professional graphic design experience, with a focus on practical application and execution.

• Experience in design quality assurance, art direction, or teaching/mentorship is considered a significant advantage. Required Skills:

• Strong command of design fundamentals: composition, color theory, typography, and visual hierarchy.

• Fluency with browser-based design tools; ability to execute design edits quickly and cleanly within a digital interface.

• A calibrated, objective eye for design evaluation, prioritizing established design principles over personal aesthetic preferences.

• Sharp attention to detail, with a proven ability to maintain consistency and accuracy across repetitive tasks.

• Excellent communication skills for articulating design feedback and identifying edge cases.

• Ability to commit 10+ hours per week for the duration of the project (2–6 weeks). Preferred Skills:

• Prior experience in AI/data annotation or working with machine learning training data.

• Experience in reviewing or critiquing others' design work (e.g., art direction, design QA, teaching, mentorship).

• Familiarity with data labeling platforms or similar workflow management tools.

📝 Enhancement Note: The requirements emphasize practical design skills and an objective evaluation approach, crucial for creating high-quality training data. The experience level is defined as mid-level, aligning with the need for seasoned designers who can reliably assess and correct complex visual elements.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Showcase a range of professional graphic design projects demonstrating proficiency in typography, layout, color theory, and composition.

• Include examples that highlight your ability to identify and rectify design flaws, showcasing before-and-after scenarios.

• Provide evidence of working with digital design tools and executing edits efficiently.

• Examples of how you've applied design principles objectively to meet specific project requirements or client briefs. Process Documentation:

• Be prepared to discuss your personal design workflow and how you approach evaluating and refining designs.

• Demonstrate an understanding of how consistent application of design principles can be translated into clear, actionable feedback for AI systems.

• Familiarity with or ability to quickly learn browser-based annotation tools and their specific functionalities for design editing.

📝 Enhancement Note: While not explicitly asking for a formal portfolio submission in the initial application, candidates should be prepared to showcase their work and discuss their design process. The emphasis on "browser-based design tools" and "applying your design skills in a browser-based editor" implies a need to quickly adapt to a specific platform, making process documentation vital.

💵 Compensation & Benefits

Salary Range: Up to $25 USD per hour.

Benefits:

• Flexible, fully remote work arrangement.

• Opportunity to contribute to cutting-edge AI development.

• Steady paid hours over several weeks.

• Fast onboarding and training process.

• Potential for access to extended hours and future paid projects for high-quality contributors.

• Contribution to the open-source Label Studio platform ecosystem. Working Hours:

• Minimum of 10 hours per week required.

• Flexible scheduling, allowing work to fit around existing commitments.

• Project duration estimated at 2–6 weeks, with potential for extension.

📝 Enhancement Note: The hourly rate of $25 USD is competitive for specialized freelance design work, particularly for data annotation projects requiring high-level judgment. The benefits emphasize flexibility and direct contribution to AI development, aligning with the motivations of many freelance and contract professionals. Given the international remote nature, the salary is noted in USD.

🎯 Team & Company Context

🏢 Company Culture

Industry: AI & Machine Learning, Data Services, Software Development. HumanSignal operates at the intersection of AI development and human expertise, providing critical data services for companies building advanced AI models.

Company Size: HumanSignal is part of the growing AI data services sector, likely operating as a specialized team within a larger tech organization. The company emphasizes its role as a "human data partner," suggesting a blend of technical platform capabilities (Label Studio) and human-driven services.

Founded: The company leverages the open-source Label Studio platform, which has a significant existing user base, indicating a mature product and community. This suggests a company culture that values open-source contributions and community engagement.

Team Structure:

• The AI Training Project team likely consists of project managers, AI/ML specialists, and a distributed workforce of specialized evaluators (graphic designers, annotators).

• Reporting structure will involve direct reporting to a project lead or manager responsible for data quality and output.

• Cross-functional collaboration will occur between designers, AI researchers, and platform engineers to refine guidelines and improve the AI models. Methodology:

• Data-driven approach to AI model training, where human evaluation serves as the ground truth.

• Emphasis on rigorous quality control and continuous feedback loops to improve data accuracy.

• Utilization of proprietary and open-source platforms (like Label Studio) for data annotation and workflow management.

Company Website: https://humansignal.com/

📝 Enhancement Note: HumanSignal's focus on being a "human data partner" and their ownership of Label Studio indicate a company that bridges the gap between complex AI technology and human intelligence. This suggests a culture that values precision, collaboration, and innovation in data services.

📈 Career & Growth Analysis

Operations Career Level: This role represents a specialized, project-based contribution within the broader field of Data Operations or AI Data Services. It's an excellent opportunity for experienced graphic designers to gain exposure to AI development and data annotation methodologies.

Reporting Structure: You will likely report to a Project Manager or Data Operations Lead who oversees the AI Training Project. This individual will provide tasks, guidelines, and quality feedback.

Operations Impact: Your work directly impacts the accuracy and effectiveness of AI models designed to understand and evaluate graphic design. This contributes to the advancement of AI capabilities in creative fields and the development of tools that can assist designers or automate design QA processes.

Growth Opportunities:

• Skill Development: Enhance expertise in AI data annotation, quality assurance for machine learning, and working with specialized browser-based editing tools.

• Project Expansion: Consistent delivery of high-quality work can lead to opportunities for extended hours on this project or access to future paid projects with HumanSignal.

• Industry Exposure: Gain valuable experience in the rapidly growing field of AI and machine learning, specifically in data preparation and model training.

• Networking: Become part of the HumanSignal/Label Studio community, potentially connecting with other professionals in the AI and data science space.

📝 Enhancement Note: This role is ideal for individuals looking for project-based work that leverages existing skills in a new, high-growth industry. While not a traditional career path, it offers valuable experience and potential for further engagement within the AI data services sector.

🌐 Work Environment

Office Type: Fully Remote. This position does not require any physical presence in an office.

Office Location(s): While the derived location is International Falls, Minnesota, the role is specified as fully remote and applicable internationally, meaning candidates from various global locations can apply, provided they meet the requirements.

Workspace Context:

• You will be working independently from your own remote workspace.

• Collaboration and communication will primarily occur through digital channels (e.g., email, project management tools, potentially Slack or similar platforms).

• Access to a reliable internet connection and a personal computer capable of running browser-based applications is essential.

• The work involves detailed visual analysis and editing, requiring a focused and distraction-free environment. Work Schedule:

• Highly flexible, allowing you to choose when to work your required 10+ hours per week.

• The project spans 2–6 weeks, offering a defined period of engagement.

• The ability to manage your time effectively to meet task volume and quality expectations is key.

📝 Enhancement Note: The fully remote and flexible nature of this role is a significant draw for designers seeking to supplement their income or work on engaging projects without geographical constraints. The emphasis on self-management and digital communication is standard for remote contract positions.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: Application review focusing on experience, skills, and availability.

• Skills Assessment/Test Task: You may be asked to complete a short, paid test task or evaluation exercise to demonstrate your design judgment and ability to work with the specified tools. This is a common practice for data annotation and design evaluation roles.

• Brief Interview: A short virtual interview to discuss your experience, understanding of design principles, ability to follow guidelines, and availability.

• Onboarding & Training: If selected, you will undergo a training process to familiarize you with HumanSignal's specific guidelines, tools, and evaluation criteria.

Portfolio Review Tips:

• Focus on Relevance: Highlight projects that showcase your ability to apply design fundamentals objectively, critique work, and execute edits precisely.

• Demonstrate Consistency: If possible, show examples of projects where you maintained a consistent style or applied strict guidelines.

• Quantify Impact (if applicable): While challenging for pure design, if you have examples of how your design work improved user experience or met specific business objectives, include them.

• Showcase Tool Proficiency: Briefly mention your experience with various design software, especially browser-based tools.

Challenge Preparation:

• Understand Design Principles: Revisit core concepts of typography, hierarchy, color theory, and composition. Be ready to articulate why a design works or doesn't.

• Follow Guidelines: Practice adhering to a specific set of rules or criteria, as AI training requires strict consistency. Imagine you are training an AI to be a strict design critic.

• Objective Evaluation: Prepare to explain your design judgments based on established principles rather than personal preference. Think about how you would explain a design flaw to someone with no design background.

📝 Enhancement Note: The interview process for such roles often includes a practical assessment to gauge real-world application of skills. Preparing a portfolio that emphasizes objective evaluation and adherence to guidelines will be crucial for success.

🛠 Tools & Technology Stack

Primary Tools:

• Browser-based Design Editor: The core tool for this role, likely similar to Figma, Sketch, or Adobe XD but integrated within a web browser for annotation purposes. Proficiency in digital design interfaces is key.

• Label Studio: While not explicitly stated as the tool for designers, HumanSignal develops and uses Label Studio extensively. Understanding its capabilities for labeling and evaluation tasks is beneficial.

Analytics & Reporting:

• While direct analytics tool usage might be minimal for designers, understanding how their output contributes to AI model performance metrics (e.g., accuracy, precision) is important. CRM & Automation:

• The role involves working within a workflow managed by HumanSignal's platform, which likely includes elements of task management and progress tracking. Automation is inherent in the AI training process itself.

📝 Enhancement Note: The emphasis is on practical application within a specific browser-based editor. Candidates should be comfortable learning new interfaces quickly. Familiarity with Label Studio is a plus, as it's HumanSignal's flagship product.

👥 Team Culture & Values

Operations Values:

• Precision & Accuracy: The core of AI training data relies on meticulous accuracy and consistent application of standards.

• Objectivity: Evaluating design based on established principles, not personal taste, is paramount.

• Efficiency: Ability to process a volume of work consistently and within project timelines.

• Collaboration & Feedback: Willingness to provide feedback on guidelines and learn from project leads.

• Quality Focus: A commitment to delivering high-quality data that directly contributes to AI model performance.

Collaboration Style:

• Primarily asynchronous and digital, relying on clear written communication and adherence to guidelines.

• Opportunities for feedback and clarification with project managers or leads.

• The work is largely individual but contributes to a collective goal of building robust AI models.

📝 Enhancement Note: The culture likely emphasizes a structured, data-driven approach, where individual contributions are critical for the overall success of the AI training initiative. Objectivity and precision are likely highly valued.

⚡ Challenges & Growth Opportunities

Challenges:

• Maintaining Consistency: Applying the same rigorous design standards across a large volume of diverse designs can be mentally taxing.

• Subjectivity vs. Objectivity: Balancing nuanced design judgment with the need for objective, repeatable evaluations for AI training.

• Ambiguous Guidelines: Navigating situations where project guidelines might be unclear or require interpretation.

• Repetitive Tasks: The nature of data annotation can involve repetitive work, requiring sustained focus and motivation.

Learning & Development Opportunities:

• AI Data Annotation Expertise: Gain hands-on experience in a critical area of AI development.

• Understanding AI Evaluation: Learn how human judgment is translated into training data for machine learning models.

• Refined Design Critique Skills: Sharpen your ability to analyze and articulate design elements under specific constraints.

• Exposure to AI Workflows: Understand the lifecycle of AI model development from data creation to training.

📝 Enhancement Note: The challenges are inherent to data annotation and AI training projects. Successfully navigating these challenges offers significant learning opportunities in a high-demand field.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you had to critique a design objectively. What principles did you apply?"

• "How would you approach a design task if the guidelines were slightly ambiguous?"

• "Imagine you're training an AI to identify good typography. What are the most critical elements you'd focus on, and why?"

• "How do you ensure consistency in your work when performing repetitive tasks?" Company & Culture Questions:

• "What interests you about contributing to AI training data?"

• "How do you manage your time to meet project deadlines and hour commitments?"

• "What are your expectations regarding feedback and communication in a remote, project-based role?" Portfolio Presentation Strategy:

• Showcase Objective Evaluation: If you have case studies where you improved a design based on specific criteria, highlight this.

• Demonstrate Tool Adaptability: Be ready to discuss your ability to learn and use new browser-based tools efficiently.

• Focus on Process: Explain your thought process when evaluating and refining designs, emphasizing how you apply principles consistently.

📝 Enhancement Note: Prepare to articulate your design process and decision-making with a focus on objectivity and adherence to guidelines, as these are crucial for AI training data quality.

📌 Application Steps

To apply for this operations position:

• Submit your application through the provided link on Greenhouse.

• Resume Optimization: Ensure your resume clearly highlights your graphic design experience, formal training, and proficiency with design fundamentals (typography, layout, color theory, hierarchy). Quantify achievements where possible.

• Portfolio Preparation: Have a digital portfolio readily accessible that showcases your best work, particularly examples demonstrating objective design evaluation and refinement. Be ready to discuss your process.

• Skills Assessment Readiness: Be prepared for a potential short, paid test task that evaluates your design judgment and ability to follow specific instructions.

• Company Research: Familiarize yourself with HumanSignal and their mission, especially their work with Label Studio and their role as a "human data partner" in AI development. Understand their focus on quality and precision in data services.

⚠️ 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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