Graphic Design Consultant - Remote

📍 Job Overview

Job Title: Graphic Design Consultant - Remote Company: Jobgether (on behalf of a partner company) Location: Colombia Job Type: Full-time Category: Operations (AI Training Data Quality & Design Process Optimization) Date Posted: January 20, 2026 Experience Level: 5-10 Years Remote Status: Fully Remote

🚀 Role Summary

• This role is a crucial part of ensuring the quality and effectiveness of AI training data projects by leveraging expert graphic design principles.
• You will be responsible for defining and implementing quality assurance (QA) standards and Standard Operating Procedures (SOPs) for design outputs.
• This position requires a strong ability to provide precise, constructive feedback and remediation guidance to technical contractors.
• The role involves contributing to the continuous improvement of design tools, workflows, and the overall AI data annotation process.

📝 Enhancement Note: While the title is "Graphic Design Consultant," the core responsibilities and emphasis on AI training data, quality metrics, SOPs, and contractor management strongly indicate a role within Operations, specifically focused on GTM enablement or product operations for an AI/ML company. The operations aspect is driven by the need to standardize, measure, and improve a complex, data-intensive process.

📈 Primary Responsibilities

• Define domain-specific quality success metrics for AI training data annotation projects.
• Develop and implement project-specific Standard Operating Procedures (SOPs) and Quality Assurance (QA) rubrics for graphic design outputs.
• Conduct structured QA passes on design deliverables, ensuring adherence to technical standards and client expectations.
• Provide precise, actionable remediation notes to technical contractors for design output improvement.
• Offer advisory input on optimal design tools, software, and workflow efficiency for AI data curation.
• Manage and adapt to spec changes and address edge-case scenarios in design annotations.
• Curate and maintain example libraries of high-quality design assets for training and reference.
• Participate in the vetting and assessment of technical contractor talent through review of sample work and feedback.
• Create targeted training or calibration resources to improve contractor performance and understanding.
• Advise on technical scoping, project requirements, and feasibility for AI design annotation tasks.
• Contribute to post-project reviews, identifying key learnings and proposing process improvements.
• Identify and document client model observations and insights derived from the design annotation process.
• Build and maintain dashboards or trackers to surface production insights, efficiency metrics, and quality trends.
• Conduct post-mortems on completed projects to propose and implement process enhancements.

📝 Enhancement Note: The responsibilities highlight a blend of technical design expertise and operational process management. The emphasis on SOPs, QA rubrics, contractor management, and data-driven insights positions this as a strategic operations role within a creative or AI data services context, focusing on scalable quality control and process optimization.

🎓 Skills & Qualifications

Education:

• Bachelor's degree in Design (e.g., Graphic Design, Visual Design, Fine Arts).

Experience:

• 5+ years of professional experience in graphic design, with a strong portfolio demonstrating a range of design work.
• Experience in an operations, quality assurance, or process improvement role within a creative or AI/ML context is highly advantageous.

Required Skills:

• Mastery of core design principles, visual communication, and aesthetics.
• Expert proficiency with industry-standard design software, including Adobe Creative Suite (Photoshop, Illustrator, InDesign), Figma, and Sketch.
• Proven ability to define, maintain, and enforce high technical standards and quality benchmarks.
• Strong communication skills, particularly in providing clear, technical guidance and constructive feedback to designers and contractors.
• Experience in producing technical documentation, training materials, and SOPs.
• Demonstrated ability to work effectively within fixed project timelines and deliver high-quality outputs consistently.
• Exceptional attention to detail and a disciplined approach to documentation and quality control.
• Fluency in spoken and written English.

Preferred Skills:

• Experience with AI training data annotation processes or platforms.
• Familiarity with data visualization tools or dashboard creation (e.g., Tableau, Power BI, Looker).
• Understanding of AI/ML concepts and how design quality impacts model performance.
• Experience in contractor management, performance evaluation, and training.
• Knowledge of project management methodologies and tools.

📝 Enhancement Note: The requirements emphasize a hybrid skill set. While graphic design expertise is foundational, the need for SOP development, QA, technical documentation, and precise feedback points to a candidate who can operationalize design processes and manage quality at scale, aligning with operations roles that bridge creative execution and systematic control.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• A comprehensive portfolio showcasing a minimum of 5 years of professional graphic design work, including examples relevant to digital assets, UI elements, or data visualization if applicable.
• Specific case studies demonstrating your ability to define and implement quality standards or SOPs for design projects.
• Examples of technical documentation, training materials, or QA rubrics you have developed.
• A section that highlights your experience in providing detailed feedback and remediation guidance to other designers or contractors.
• Quantifiable achievements or metrics demonstrating improvements in design quality, efficiency, or process adherence in previous roles.

Process Documentation:

• Candidates should be prepared to discuss their approach to creating and refining workflow documentation for design processes.
• Expect questions regarding how you would develop and implement QA rubrics for subjective design tasks.
• Be ready to articulate your methods for ensuring consistency and quality across multiple contributors or contractors.
• The ability to demonstrate how you would track and report on process adherence and quality metrics will be crucial.

📝 Enhancement Note: For a role with significant operational and quality control components, the portfolio should not just showcase design aesthetics but also the candidate's capability in process definition, standardization, and quality management. This is a key differentiator for operations-focused roles.

💵 Compensation & Benefits

Salary Range:

• $25 - $100 per hour, commensurate with experience, expertise, and specific project scope.

Benefits:

• Flexible working hours, allowing for adaptation to personal schedules and optimal productivity.
• Opportunity to work on innovative projects within the rapidly evolving field of AI and machine learning.
• Collaborative and dynamic team environment fostering professional growth and knowledge sharing.
• Fully remote work setup, providing flexibility and work-life balance.
• Potential for future project engagements, offering ongoing opportunities for skilled consultants.
• Note: No company-sponsored benefits such as health insurance, retirement plans, or paid time off are provided for this contract role.

Working Hours:

• Flexible working hours are offered, with an expectation of approximately 40 hours per week to meet project demands and deadlines. The exact schedule can be negotiated to accommodate different time zones and personal preferences, provided project deliverables are met.

📝 Enhancement Note: The broad hourly range ($25-$100) indicates significant variability based on candidate expertise and the complexity of the specific AI training data tasks. The lack of traditional benefits points to a contractor or freelance engagement, common in specialized consulting roles. The "40 hours per week" expectation, despite flexible hours, suggests a full-time commitment.

🎯 Team & Company Context

🏢 Company Culture

Industry: Technology (AI Training Data Services / Platform) Company Size: Not explicitly stated, but Jobgether acts as an intermediary, suggesting it could be a platform for various sized companies. The partner company's size is unknown. Founded: Jobgether was founded in 2023. The partner company's founding date is not provided.

Team Structure:

• The role reports to a Project Manager or Operations Lead within the partner company, focusing on AI data annotation projects.
• This position involves close collaboration with AI/ML engineers, data scientists, and a distributed team of technical contractors.
• Cross-functional collaboration will be essential for defining requirements, refining processes, and ensuring the quality of training data.

Methodology:

• Data-driven decision-making is paramount, with a focus on metrics to define and measure quality.
• Workflow planning and optimization are key, aiming to improve efficiency and accuracy in data annotation.
• Automation and efficiency practices are encouraged to scale operations and reduce manual effort where possible.

Company Website: https://jobgether.com/

📝 Enhancement Note: Jobgether's model suggests a tech-forward environment focused on efficient talent matching. The partner company likely operates in the AI/ML space, where data quality is a critical differentiator. The culture will likely value precision, efficiency, and adaptability, common in fast-paced tech operations.

📈 Career & Growth Analysis

Operations Career Level: This role represents a senior-level individual contributor or specialist position within operations, focusing on a niche but critical area: quality control for AI data. It bridges creative expertise with systematic process management.

Reporting Structure:

• You will likely report to a Project Lead, Operations Manager, or a Senior Manager overseeing AI data quality.
• You will work closely with a team of graphic designers and AI/ML professionals, providing guidance and receiving project-specific direction.

Operations Impact:

• Your work directly impacts the quality and effectiveness of AI models trained on the data you help curate. High-quality data leads to more accurate, reliable, and performant AI systems.
• By optimizing design workflows and quality assurance processes, you contribute to cost savings, faster project completion times, and increased client satisfaction.
• Identifying insights from client models and data can influence product development and strategic decisions for the partner company.

Growth Opportunities:

• Operations Skill Advancement: Deepen expertise in AI data quality management, process optimization, and QA methodologies specific to AI/ML.
• Leadership Potential: Transition into roles like AI Data Operations Lead, QA Manager, or Project Management for data annotation projects.
• Specialization: Become a subject matter expert in specific types of AI data annotation or in managing distributed contractor teams.
• Cross-functional Exposure: Gain exposure to AI/ML development cycles, contributing to the broader product lifecycle.

📝 Enhancement Note: This role offers a unique opportunity to apply graphic design expertise in a highly technical and operations-centric domain. Growth will come from mastering the intersection of creative quality and systematic operational control within the AI/ML lifecycle.

🌐 Work Environment

Office Type: Fully Remote. This implies a distributed workforce with no central physical office for this specific role.

Office Location(s): While the role is remote and posted for Colombia, collaboration might involve individuals in various time zones globally, depending on the partner company's operations.

Workspace Context:

• You will be working in a virtual environment, requiring strong self-discipline, time management, and digital communication skills.
• Access to reliable internet and a suitable home office setup is expected.
• Collaboration will primarily occur through digital tools such as Slack, email, project management software, and video conferencing.
• Opportunities for interaction will be through scheduled meetings, virtual team syncs, and digital feedback channels.

Work Schedule:

• Flexible working hours (approx. 40 hours/week) allow for personal scheduling, but require commitment to project deadlines and availability for key meetings or urgent feedback sessions. This flexibility is crucial for managing diverse project timelines and collaborative efforts across different time zones.

📝 Enhancement Note: The remote nature emphasizes the need for strong asynchronous communication skills and self-management. The flexibility in hours is a key benefit for operations professionals who need to balance deep work with collaborative tasks and potentially varying global team schedules.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: Your application and portfolio will be reviewed by Jobgether's AI system for initial fit, followed by a human review by Jobgether's team.
• Hiring Partner Review: Shortlisted candidates' profiles are shared with the partner company for their assessment.
• Technical Assessment/Interview: Expect a deep dive into your graphic design skills, portfolio, and understanding of design principles. This may include a practical design exercise or a detailed portfolio review.
• Operations & Process Interview: You will be asked about your experience with SOP development, QA, contractor feedback, and process improvement. Be prepared to discuss how you would approach specific scenarios outlined in the responsibilities.
• Cultural Fit Interview: An opportunity to discuss your work style, collaboration preferences, and how you align with the partner company's operational values.
• Final Decision: The partner company will make the final hiring decision.

Portfolio Review Tips:

• Highlight Process & Quality: Beyond aesthetic appeal, emphasize projects where you defined or improved design processes, implemented quality controls, or managed feedback loops.
• Quantify Impact: If possible, include metrics demonstrating the positive outcomes of your work (e.g., improved contractor efficiency by X%, reduced error rate by Y%).
• Detail Your Role: Clearly articulate your specific contributions, especially in team or contractor settings.
• Prepare for Technical Scenarios: Be ready to walk through specific design challenges and how you applied your skills and operational thinking to solve them.
• Showcase Feedback Skills: Include examples of how you provided constructive criticism and guidance that led to demonstrable improvement.

Challenge Preparation:

• Design Exercise: Prepare for a potential task that might involve critiquing existing designs, creating a small set of annotated assets, or outlining an SOP for a specific design task.
• Process Scenario: Be ready to discuss how you would handle a situation where contractors are consistently missing a quality standard.
• Tool Proficiency: Be prepared to discuss your experience with Adobe Creative Suite, Figma, Sketch, and any project management or QA tools.

📝 Enhancement Note: The interview process emphasizes both creative technical skills and operational acumen. A strong portfolio that showcases process-oriented thinking and quality management alongside design talent will be critical for success.

🛠 Tools & Technology Stack

Primary Tools:

• Adobe Creative Suite: Expert proficiency required (Photoshop, Illustrator, InDesign). This is fundamental for asset creation and manipulation.
• Figma/Sketch: Essential for UI/UX design, prototyping, and collaborative design workflows.
• Project Management Software: Experience with tools like Asana, Trello, Jira, or Monday.com is likely needed for tracking tasks, deadlines, and project progress.
• Communication Platforms: Proficiency in Slack, Microsoft Teams, or similar for daily team communication and collaboration.

Analytics & Reporting:

• Dashboard Tools (e.g., Tableau, Looker, Power BI): While not explicitly required, experience in creating or interpreting dashboards for production insights and QA tracking would be a significant advantage.
• Spreadsheet Software (e.g., Microsoft Excel, Google Sheets): For data organization, basic analysis, and reporting.

CRM & Automation:

• Not directly applicable in a traditional CRM sense, but understanding how design assets feed into broader marketing or product automation pipelines may be beneficial.
• Workflow Automation Tools: Familiarity with any tools used to streamline repetitive design tasks or feedback processes.

📝 Enhancement Note: The core requirement is mastery of industry-standard design software. However, for an operations-focused role, familiarity with project management, communication, and potentially data visualization tools is crucial for effective collaboration and process management in a remote, distributed environment.

👥 Team Culture & Values

Operations Values:

• Precision and Accuracy: A core value, especially in AI data annotation where small errors can have significant consequences for model performance.
• Efficiency and Scalability: Continuously seeking ways to optimize processes to handle larger volumes of data and projects effectively.
• Collaboration and Feedback: Valuing open communication and constructive feedback as essential for team improvement and project success.
• Data-Driven Improvement: Relying on metrics and insights to guide decisions and drive continuous enhancement of quality and processes.
• Adaptability: The ability to adjust to evolving project requirements, new tools, and client needs in the fast-paced tech industry.

Collaboration Style:

• Asynchronous Communication: Prioritizing clear, concise written communication for documentation and feedback, suitable for remote teams across time zones.
• Proactive Engagement: Encouraging team members to raise potential issues, suggest improvements, and share knowledge proactively.
• Structured Feedback: Providing feedback that is specific, actionable, and tied to defined quality standards or project goals.
• Cross-functional Integration: Working collaboratively with technical teams (AI/ML engineers, data scientists) to ensure design outputs meet broader project objectives.

📝 Enhancement Note: The culture likely emphasizes a blend of creative rigor and operational discipline. Success will depend on a candidate's ability to integrate into a remote, performance-driven environment that values both individual contribution and team-oriented process improvement.

⚡ Challenges & Growth Opportunities

Challenges:

• Subjectivity in Design: Balancing objective quality metrics with the inherent subjectivity of design, especially when providing feedback to contractors.
• Managing Distributed Teams: Ensuring consistent quality and communication across a remote team of contractors with varying skill levels and locations.
• Evolving AI Data Needs: Keeping pace with the rapidly changing requirements and complexities of AI training data annotation.
• Technical Contractor Skill Gaps: Identifying and addressing skill deficiencies among contractors through targeted training and feedback.
• Balancing Speed and Quality: Meeting tight project deadlines while maintaining exceptionally high standards for design output.

Learning & Development Opportunities:

• Specialization in AI Data Quality: Become an expert in the operational aspects of AI data annotation and quality control.
• Process Improvement Expertise: Develop advanced skills in workflow design, SOP creation, and QA methodology for creative/technical teams.
• Mentorship: Potentially mentor junior designers or contractors, developing leadership and training capabilities.
• Industry Exposure: Gain deep insights into the AI/ML industry and the critical role of data quality in its success.
• Tool Proficiency: Expand expertise with cutting-edge design and collaboration tools utilized in remote tech environments.

📝 Enhancement Note: This role presents a unique opportunity to leverage design skills in a highly analytical and process-driven field. Overcoming the challenges will directly lead to significant growth in operational and strategic capabilities within the AI/ML sector.

💡 Interview Preparation

Strategy Questions:

• Operations Strategy: "How would you approach defining quality metrics for a new type of AI training data where visual consistency is paramount but subjective?" "Describe a process you would implement to onboard and calibrate new graphic design contractors for an ongoing AI annotation project."
• Collaboration & Stakeholder Management: "How would you handle a situation where a client's feedback on design outputs conflicts with your defined quality standards?" "Describe your approach to communicating technical feedback to contractors who may not have a strong design background."
• Problem-Solving: "Imagine a scenario where project timelines are threatened due to low contractor output quality. What steps would you take to diagnose and resolve the issue?" "How would you leverage design principles to guide the creation of clear and effective SOPs for data annotation?"

Company & Culture Questions:

• "What interests you about working with AI training data, and how do you see your graphic design expertise contributing to this field?"
• "Describe your ideal remote work environment and how you maintain productivity and collaboration."
• "How do you stay updated on design trends and new technologies, and how would you apply that knowledge to AI data projects?"

Portfolio Presentation Strategy:

• Structure: Organize your portfolio to clearly separate design showcase pieces from process-oriented case studies.
• Storytelling: For process-based examples, frame them as a problem, your solution (including process/QA steps), and the quantifiable outcome.
• Metrics Focus: Be ready to discuss any metrics you tracked or influenced, such as turnaround time, error reduction, or client satisfaction scores related to your design or process contributions.
• Demonstrate Feedback Skills: Prepare to show examples of critiques or feedback you've given and explain the rationale behind it.

📝 Enhancement Note: Interview preparation should focus on demonstrating an understanding of operations principles (quality, process, efficiency) applied through a graphic design lens. Be ready to articulate your thought process for problem-solving and process improvement.

📌 Application Steps

To apply for this operations position:

• Submit your application through the Jobgether platform, ensuring your profile is complete and accurate.
• Portfolio Customization: Tailor your resume and cover letter to highlight your experience in graphic design, quality assurance, process development, and contractor management. If you have a portfolio, ensure it emphasizes process-oriented projects and quantifiable achievements.
• Resume Optimization: Clearly list your proficiency with Adobe Creative Suite, Figma, Sketch, and any project management or QA tools. Quantify achievements where possible, focusing on impact related to quality, efficiency, or process improvement.
• Interview Preparation: Practice articulating your approach to defining quality standards, providing constructive feedback, and developing SOPs for creative or technical tasks. Prepare specific examples from your experience that demonstrate these skills.
• Company Research: Familiarize yourself with Jobgether's platform and, if possible, research the partner company's industry and any publicly available information on their AI data services to understand their potential operational challenges and goals.

⚠️ 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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