Remote Graphic Designer (Senior)

📍 Job Overview

Job Title: Senior Graphic Designer
Company: Jobgether (on behalf of a partner company)
Location: Kenya
Job Type: Full-time
Category: Creative & Media / Art & Design / Technology
Date Posted: January 20, 2026
Experience Level: 5+ Years
Remote Status: Fully Remote

🚀 Role Summary

• This Senior Graphic Designer role focuses on influencing the quality and effectiveness of AI training data projects through expert design guidance and quality assurance.
• Responsibilities include defining domain-specific quality metrics, developing SOPs and QA rubrics, and performing structured QA passes on design deliverables for AI datasets.
• The role requires expert proficiency in design software and a strong understanding of design principles to ensure client expectations and technical standards are met.
• This position offers flexible working hours and a remote work setup, with potential for future project engagements.

📝 Enhancement Note: While the job title is "Graphic Designer," the detailed responsibilities and requirements indicate a specialized role focused on the quality assurance and production of assets for AI training data. This is a crucial distinction for operations-minded candidates who can leverage their process optimization and quality control skills in a design context. The role is less about creative concepting and more about structured output and adherence to technical specifications.

📈 Primary Responsibilities

• Define and implement domain-specific quality success metrics for AI training data assets.
• Develop and maintain project-specific Standard Operating Procedures (SOPs) and Quality Assurance (QA) rubrics for design deliverables.
• Review project outputs against established technical standards and client requirements, ensuring accuracy and adherence to specifications.
• Perform structured QA passes on design deliverables, identifying areas for improvement and ensuring consistency.
• Return design files to contractors with precise, actionable remediation notes for efficient revisions.
• Provide advisory input on design tools, workflows, and best practices to enhance overall design quality and efficiency.
• Manage spec changes and address edge-case scenarios effectively, ensuring project continuity.
• Curate and maintain example libraries of design assets to serve as references for contractors and internal teams.
• Participate in the vetting and assessment of technical contractor talent, evaluating their design skills and potential.
• Review sample work from contractors, providing constructive feedback and targeted guidance for skill development.
• Create targeted training or calibration resources to elevate the skill level and consistency of the design team.
• Advise on technical scoping and refine project requirements to ensure feasibility and quality outcomes.
• Contribute to post-project reviews, identifying lessons learned and proposing actionable process improvements.
• Identify and document client model observations and insights to inform future project strategies.
• Build and maintain dashboards or trackers to surface production insights and monitor key performance indicators.
• Conduct post-mortems on completed projects to identify root causes of issues and propose strategic process improvements.

📝 Enhancement Note: The responsibilities are heavily weighted towards process optimization, quality control, and documentation – core tenets of operations roles. Candidates should highlight experience in developing standards, performing audits, providing feedback, and implementing process improvements. The focus on AI training data implies a need for meticulous data handling and understanding of how design assets contribute to AI model performance.

🎓 Skills & Qualifications

Education: Bachelor of Design or a related field.
Experience: 5+ years of professional experience in graphic design, with a strong emphasis on quality assurance and production environments.

Required Skills:

• Mastery of fundamental design principles and visual communication techniques relevant to data annotation and asset creation.
• 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 for design outputs.
• Strong communication skills, particularly in providing clear, concise, and constructive technical guidance to designers and contractors.
• Experience in producing technical documentation, SOPs, and training resources for design processes.
• Demonstrated ability to work within fixed project timelines and manage multiple tasks effectively.
• Exceptional attention to detail and a disciplined approach to documentation and quality control.
• Fluency in spoken and written English for effective communication in a remote, international setting.

Preferred Skills:

• Experience working with AI training data or machine learning projects.
• Familiarity with data annotation platforms or workflows.
• Experience in developing QA rubrics and performance metrics for creative outputs.
• Project management skills, including task prioritization and workflow management.
• Experience with creating and managing asset libraries.
• Ability to analyze and interpret feedback for process improvement.

📝 Enhancement Note: The emphasis on "AI training data projects" and "annotated datasets" suggests that candidates with experience in structured design for technical applications or data visualization will be highly valued. Highlighting experience with process documentation, QA, and feedback loops is critical for demonstrating suitability for this operations-centric design role.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Showcase at least 3-5 distinct projects demonstrating your ability to define and enforce quality standards in design outputs.
• Include examples of structured QA passes, remediation notes provided to designers, or SOPs you have developed for design workflows.
• Highlight projects where you've contributed to improving design processes, efficiency, or asset quality for technical applications or data-driven initiatives.
• Demonstrate proficiency with design software (Adobe Creative Suite, Figma, Sketch) through the quality and complexity of your design work presented.
• Provide evidence of your ability to manage design specifications, handle changes, and ensure timely delivery of project assets.

Process Documentation:

• Be prepared to discuss your experience in creating and implementing SOPs for design workflows, detailing the phases of workflow design, implementation, and performance analysis.
• Showcase examples of how you have used process documentation to standardize output, improve collaboration, or reduce errors in previous roles.
• Highlight your approach to documenting design specifications, QA criteria, and feedback mechanisms to ensure clarity and consistency.

📝 Enhancement Note: For this role, a portfolio should lean heavily on demonstrating process ownership, quality control methodologies, and the ability to standardize complex creative outputs. Candidates should focus on showcasing projects where they've acted as a quality gatekeeper or process improver, rather than purely creative portfolio pieces.

💵 Compensation & Benefits

Salary Range: $25 - $100 per hour.
Explanation of Range: This wide range reflects the "Senior" title and the specialized nature of the role, likely differentiating based on specific experience, expertise in AI data, and the complexity of projects assigned. The upper end caters to individuals with extensive experience in AI-related design quality.
Research Methodology: The provided range has been directly extracted from the job posting. For a Senior Graphic Designer with a focus on AI training data and QA, this range is competitive within the remote freelance/contract market, particularly for specialized skills.

Benefits:

• Flexible working hours, allowing for work-life integration and adaptation to different time zones.
• Opportunity to work on innovative and cutting-edge AI training data projects.
• Collaborative and dynamic team environment, fostering knowledge sharing and professional growth.
• Fully remote work setup, providing autonomy and eliminating commute time.
• Potential for future project engagements, offering ongoing work opportunities.
• No company-sponsored benefits applicable, indicating this may be a contract or freelance position with self-managed benefits.

Working Hours: Flexible working hours, with an implied expectation of approximately 40 hours per week for a full-time role, adjustable to project needs and team collaboration.

📝 Enhancement Note: The absence of company-sponsored benefits suggests this is likely a contract or freelance role. Candidates should factor in self-managed benefits (health insurance, retirement savings, etc.) when evaluating the hourly rate. The flexibility in working hours is a significant perk for remote roles but requires strong self-discipline and time management.

🎯 Team & Company Context

🏢 Company Culture

Industry: Technology / Artificial Intelligence / Data Services.
Company Size: Undisclosed, but Jobgether operates as a platform for finding contract/freelance roles, suggesting the partner company may range from a startup to a larger tech firm leveraging AI.
Founded: Not specified, but Jobgether's existence implies a focus on modern talent acquisition models.

Team Structure:

• The role is part of a team focused on AI training data projects, implying collaboration with AI engineers, data scientists, project managers, and other specialized designers.
• Reporting likely goes to a Project Lead, Operations Manager, or a Head of Design within the partner company.
• Cross-functional collaboration is essential, requiring clear communication with individuals across technical and design disciplines.

Methodology:

• Operations are driven by data quality and process efficiency for AI model development.
• Workflow planning and optimization strategies are critical for scaling AI training data production.
• Automation and efficiency practices are key to managing large datasets and contractor networks.

Company Website: Jobgether.com (for the platform), partner company website not specified.

📝 Enhancement Note: As Jobgether is a platform, the "company culture" primarily refers to the culture of the partner company hiring for this role. The emphasis on AI training data suggests a data-driven, process-oriented, and technically focused environment. Candidates should prepare to discuss their experience in structured, results-oriented work.

📈 Career & Growth Analysis

Operations Career Level: Senior Individual Contributor with potential for team leadership in QA or process management within AI data projects.
Reporting Structure: Reports to a Project Manager or Head of Design, with direct collaboration with AI/ML teams and contract designers.
Operations Impact: Direct impact on the quality and accuracy of AI training data, which is foundational for the performance of AI models. This role influences project success, client satisfaction, and the efficiency of data acquisition processes.

Growth Opportunities:

• Deep specialization in AI training data quality assurance and process optimization.
• Potential to transition into roles like AI Data Operations Manager, Lead QA Designer, or Senior Technical Artist for AI.
• Opportunity to work on a variety of innovative AI projects, expanding technical and domain knowledge.
• Development of skills in contractor management, technical documentation, and workflow automation.

📝 Enhancement Note: This role offers a unique pathway for designers to move into operations-heavy functions within the rapidly growing AI sector. The growth potential lies in becoming an expert in the operational aspects of AI development, rather than traditional creative leadership.

🌐 Work Environment

Office Type: Fully Remote.
Office Location(s): While the role is remote in Kenya, the partner company could be located anywhere globally, necessitating strong remote collaboration skills.

Workspace Context:

• Requires a dedicated, professional home office setup conducive to focused design work and virtual meetings.
• Access to necessary design software and reliable high-speed internet is essential.
• Opportunities for virtual collaboration through various communication and project management tools.

Work Schedule: Flexible working hours, with an expectation of responsiveness and availability during core business hours of the partner company or team, and adherence to project deadlines.

📝 Enhancement Note: The remote nature of the role emphasizes the need for strong self-management, proactive communication, and comfort with digital collaboration tools. Candidates should highlight their experience in successful remote work environments.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: Likely conducted by Jobgether or an internal recruiter to assess basic qualifications and fit.
• Technical Assessment/Portfolio Review: A significant part of the process will involve reviewing your portfolio, with a focus on projects demonstrating quality assurance, process development, and experience with technical design documentation.
• Skills-Based Interview: Expect questions focused on design principles, software proficiency, problem-solving scenarios related to AI data annotation, and your approach to QA and feedback.
• Behavioral Interview: Questions will assess your ability to collaborate remotely, manage timelines, handle feedback, and align with the company's operational values.
• Final Interview: May involve meeting with the hiring manager or a senior team member to discuss overall fit and long-term potential.

Portfolio Review Tips:

• Curate Strategically: Select projects that best showcase your QA, process development, and technical documentation skills, not just aesthetic design.
• Highlight Process: For each project, clearly articulate the problem, your role, the processes you implemented or followed, the tools used, and the quantifiable results (e.g., improved accuracy, reduced errors, efficiency gains).
• Showcase Remediation: Include examples of how you provided feedback or remediation notes to contractors.
• Document Your Thinking: Prepare to discuss your design decisions, QA criteria, and how you approached specific challenges related to AI data.
• Quantify Impact: Wherever possible, use metrics to demonstrate the impact of your work on project outcomes or efficiency.

Challenge Preparation:

• Be prepared for a potential design exercise or case study that simulates a real-world task, such as reviewing a set of design assets for an AI project and providing detailed QA feedback.
• Practice articulating your thought process clearly and concisely, as if explaining your feedback to a contractor or project manager.
• Research common challenges in AI data annotation and design quality assurance.

📝 Enhancement Note: The portfolio review for this role will be heavily weighted towards operational aspects. Candidates should prepare to demonstrate their structured approach to design quality, not just their creative talent. Emphasis should be placed on process, documentation, and problem-solving.

🛠 Tools & Technology Stack

Primary Tools:

• Design Software: Expert proficiency required in Adobe Creative Suite (Photoshop, Illustrator, InDesign), Figma, and Sketch.
• Collaboration Platforms: Experience with tools like Slack, Microsoft Teams, or similar for remote communication.
• Project Management Tools: Familiarity with tools such as Asana, Trello, Jira, or Monday.com for task tracking and workflow management.

Analytics & Reporting:

• Dashboard Tools: Experience with tools like Tableau, Power BI, or even advanced Excel/Google Sheets for building trackers and surfacing production insights.
• Data Analysis: Ability to analyze performance metrics related to design quality and project efficiency.

CRM & Automation:

• Data Annotation Platforms: Familiarity with platforms used for AI training data creation is a plus.
• Document Management: Proficiency with cloud storage and document sharing tools (e.g., Google Drive, Dropbox).

📝 Enhancement Note: While not explicitly listed, given the role's focus on AI training data and quality assurance, familiarity with data annotation platforms and basic data analysis/visualization tools would be highly advantageous.

👥 Team Culture & Values

Operations Values:

• Quality-Centricity: A strong commitment to maintaining high technical standards and ensuring the accuracy of design outputs for AI training data.
• Process Orientation: Valuing structured workflows, SOPs, and clear documentation to ensure consistency and efficiency.
• Data-Driven Decision Making: Utilizing metrics and insights to inform design quality assessments and process improvements.
• Collaboration & Communication: Fostering open communication channels for effective feedback exchange and remote teamwork.
• Efficiency & Optimization: Continuously seeking ways to improve workflows, reduce errors, and enhance the overall production process.

Collaboration Style:

• Proactive and transparent communication is essential in a remote setting.
• Collaborative approach to problem-solving, involving cross-functional teams and contractors.
• Openness to feedback and a willingness to contribute to a culture of continuous improvement.

📝 Enhancement Note: The values described here are typical of operations-focused roles within tech companies, emphasizing meticulousness, analytical thinking, and a results-driven approach.

⚡ Challenges & Growth Opportunities

Challenges:

• Maintaining Consistency Across Diverse Inputs: Ensuring high quality and adherence to standards across numerous contractors and varied project types for AI datasets.
• Translating Technical Requirements: Effectively communicating complex technical specifications and design principles to a diverse group of designers and contractors.
• Remote Collaboration Dynamics: Navigating communication and workflow challenges inherent in a fully remote, potentially global team.
• Staying Ahead of AI Trends: Adapting to evolving AI technologies and data requirements that impact design needs.

Learning & Development Opportunities:

• Deepen expertise in AI data quality assurance and operations.
• Develop advanced skills in workflow automation and process optimization within a creative context.
• Gain exposure to cutting-edge AI technologies and their data pipeline requirements.
• Enhance leadership and mentorship capabilities through training and guiding contractors.

📝 Enhancement Note: This role presents a unique challenge for designers to apply their skills in a highly operational and technical domain, offering significant growth in AI-specific operations.

💡 Interview Preparation

Strategy Questions:

• "Describe your process for defining quality metrics for a design project, especially when those metrics are tied to AI model performance." (Focus on your methodology for setting standards and how you'd link design output to AI outcomes.)
• "How would you provide constructive feedback to a contractor whose work doesn't meet technical specifications for an AI dataset?" (Highlight your approach to clear, actionable, and empathetic communication.)
• "Walk us through a time you had to improve a design process or workflow. What was the problem, what steps did you take, and what was the result?" (Prepare a STAR method response emphasizing process improvement and quantifiable results.)

Company & Culture Questions:

• "What interests you about working with AI training data, and how do you see design playing a role in its quality?" (Show genuine interest in the AI domain and your understanding of its operational needs.)
• "How do you ensure effective collaboration and communication in a remote work environment?" (Discuss your strategies for proactive communication, using collaboration tools, and managing time zones.)
• "Describe your experience with quality assurance. What are the key elements of a robust QA process for creative assets?" (Detail your QA philosophy and practical application.)

Portfolio Presentation Strategy:

• Structure for Operations: Organize your portfolio to highlight process, methodology, and impact. Use clear headings for "Problem," "Solution (Process/Design)," "Tools," and "Results/Impact."
• Quantify Everything: Wherever possible, use numbers to demonstrate the impact of your work (e.g., "Reduced error rate by X%", "Increased contractor output by Y%", "Improved metric Z by X points").
• Showcase QA/Feedback: Include specific examples of QA rubrics you've created, feedback you've given, or SOPs you’ve developed.
• Tell a Story: For each project, narrate your role, the challenges, your decision-making process, and the tangible outcomes, focusing on efficiency and quality gains.

📝 Enhancement Note: Interview preparation should focus on demonstrating operational thinking, process management, and the ability to apply design skills to technical and data-driven challenges. Highlighting an understanding of AI's operational needs will be crucial.

📌 Application Steps

To apply for this operations position:

• Submit your application through the Jobgether platform.
• Portfolio Customization: Tailor your portfolio to prominently feature projects demonstrating your quality assurance, process development, and technical documentation skills. Prioritize examples of structured feedback, SOP creation, and workflow optimization within a design context, especially if you have any experience related to data or technical assets.
• Resume Optimization: Ensure your resume clearly highlights experience with design software, quality control methodologies, process documentation, and any achievements related to efficiency improvements or standardization. Use keywords like "Quality Assurance," "Process Improvement," "SOP Development," "Technical Documentation," and "AI Training Data" if applicable.
• Interview Preparation: Practice articulating your experiences using the STAR method, focusing on challenges, actions, and results related to process improvement, quality control, and remote collaboration. Prepare to discuss your approach to defining and measuring quality in design outputs, particularly within the context of AI.
• Company Research: While the partner company is not named, research Jobgether's platform and mission to understand their approach to talent acquisition. Consider how your operational skills can add value to a company focused on AI and data.

⚠️ 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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